A phase 2/3 randomized clinical trial followed by an open-label extension to evaluate the effectiveness of elamipretide in Barth syndrome, a genetic disorder of mitochondrial cardiolipin metabolism

W. Reid Thompson, MD1 , Brittany Hornby, PT, DPT2 , Ryan Manuel, BS3 , Elena Bradley, PT, DPT2 , Janice Laux, PT2 , Jim Carr, PharmD4 and Hilary J. Vernon, MD, PhD 3

Purpose: To evaluate effectiveness of elamipretide in Barth syndrome (BTHS), a genetic condition of defects in TAZ, which causes abnormal cardiolipin on the inner mitochondrial

Methods: We performed a randomized, double-blind, placebocontrolled crossover trial followed by an open-label extension in BTHS to test the effect of elamipretide, a mitochondrial tetrapeptide that interacts with cardiolipin. In part 1, 12 subjects were randomized to 40 mg per day of elamipretide or placebo for 12 weeks, followed by a 4-week washout and then 12 weeks on the opposite arm. Ten subjects continued on the open-label extension (part 2) of 40 mg per day of elamipretide, with eight subjects reaching 36 weeks. Primary endpoints were improvement on the 6-minute walk test (6MWT) and improvement on a BTHS Symptom Assessment (BTHS-SA) scale.

Results: In part 1 neither primary endpoint was met. At 36 weeks in part 2, there were significant improvements in 6MWT (+95.9 m, p = 0.024) and BTHS-SA (-2.1 points, p = 0.031). There were also significant improvements in secondary endpoints including knee extensor strength, patient global impression of symptoms, and some cardiac parameters. Conclusion: In this interventional clinical trial in BTHS, daily administration of elamipretide led to improvement in BTHS

Genetics in Medicine (2021) 23:471–478; https://doi.org/10.1038/s41436- 020-01006-8

Keywords: Barth syndrome; elamipretide; cardiolipin; 6-minute walk test

1 Department of Pediatric Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA;

2 Department of Physical Therapy, Kennedy Krieger Institute, Baltimore, MD, USA;

3 Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; 4 Stealth BioTherapeutics Inc, Newton, MA, USA.

Correspondence: Hilary J. Vernon (该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。)

These authors contributed equally: W. Reid Thompson, Brittany Hornby

Submitted 11 August 2020; revised 29 September 2020; accepted: 1 October 2020

Published online: 20 October 2020

Pathogenic Mechanisms of Somatic Mutation and Genome Mosaicism in Aging

Jan Vijg1,2,* and Xiao Dong1 1Department of Genetics, Albert Einstein College of Medicine, New York, NY 10461, USA 2Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China *Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 https://doi.org/10.1016/j.cell.2020.06.024

Age-related accumulation of postzygotic DNA mutations results in tissue genetic heterogeneity known as somatic mosaicism. Although implicated in aging as early as the 1950s, somatic mutations in normal tissue have been difficult to study because of their low allele fractions. With the recent emergence of cost-effective highthroughput sequencing down to the single-cell level, enormous progress has been made in our capability to quantitatively analyze somatic mutations in human tissue in relation to aging and disease. Here we first review how recent technological progress has opened up this field, providing the first broad sets of quantitative information on somatic mutations in vivo necessary to gain insight into their possible causal role in human aging and disease. We then propose three major mechanisms that can lead from accumulated de novo mutations across tissues to cell functional loss and human disease.

Hallmarks of aging: An expanding universe---3

Other prolongevity interventions on gut microbiota

      The probiotic Lactobacillus plantarum GKM3 promotes longevity and alleviates age-related cognitive impairment in the SAMP8 mouse model of accelerated aging.89 Interventions on gut microbiota composition also restored the age-linked decline in microglial maturation and function which causes altered brain plasticity and promotes neurodegeneration. Recolonization experiments or administration of gut microbiota metabolites, such as SCFAs, prevented the age-associated decline of beneficial Bifidobacterium, increased Akkermansia abundance, and restored microglial function in middle-aged mice.94 Moreover, caloric restriction diets induce structural changes of the gut microbiome increasing the abundance of Lactobacillus and other species that influence healthy aging. The gut microbiotainduced inflammaging and the consequent increase in insulin resistance can also be reversed by restoring abundance of beneficial SCFA-producing bacteria, such as A. muciniphila, in agedmice and macaques.293 Similarly, a randomized, double-blind, placebo-controlled pilot study in overweight/obese insulin-resistant volunteers showed that oral administration of pasteurized A. muciniphila improved insulin sensitivity reduced insulinemia and plasma total cholesterol levels.95 Collectively, these results underscore the causal links between aging and dysbiosis and suggest that interventions aimed at restoring a youthful microbiome may extend healthspan and lifespan.

INTEGRATION OF HALLMARKS

      All the 12 hallmarks of aging are strongly related among each other. For example, genomic instability (including that caused by telomere shortening) crosstalks to epigenetic alterations (e.g., through the loss-of-function mutation of epigenetic modifiers such as TET2), loss of proteostasis (e.g., due to the production of mutated, misfolded proteins), disabled macroautophagy (e.g., through the capacity of autophagy to remove supernumerary centrosomes, extranuclear chromatin, and cytosolic DNA), deregulated nutrient-sensing (e.g., because SIRT6 is an NAD+sensor involved in DNA repair but also responding to nutrient scarcity), mitochondrial dysfunction (e.g., due to the mutation of mtDNA), cellular senescence (e.g., because DNA damage triggers senescence), altered intercellular communication (e.g., by hampering activation of communication pathways), chronic inflammation (e.g., because CHIP and leakage of DNA into the cytosol induce inflammation), and dysbiosis (e.g., because mutations in intestinal cells favors dysbiosis, whereas specific microbial proteins and metabolites act as mutagens). Similar functional relationships can be listed for most if not all hallmarks of aging, illustrating their formidable interconnectivity.

      This entanglement is also visible at the level of experimental anti-aging interventions that often simultaneously target several hallmarks. Thus, SIRT activators including NAD+ precursors attenuate genomic instability (via DNA repair), epigenetic alterations (via histone deacetylation), loss of proteostasis (via the removal of protein aggregates), disabled macroautophagy (via autophagy enhancement), deregulated nutrient-sensing (via activation of nutrient scarcity sensors), and mitochondrial dysfunction (via an increase in mitophagy-dependent quality control).176 Spermidine complexes to DNA (hence counteracting genomic instability), affects translation (avoiding loss of proteostasis), stimulates macroautophagy, reverses lymphocyte senescence, prevents the exhaustion of muscle stem cells, maintains circadian rhythms, suppresses inflammation, stimulates cancer immunosurveillance, and is produced by intestinal bacteria. 294 Metformin has a pleiotropic mode of action including induction of autophagy, activation of the nutrient scarcity sensor AMPK, inhibition of mitochondrial respiration, alleviation of adipocyte senescence, suppression of inflammation, and favorable shifts in the gut microbiota.210 Similarly, maintenance of eubiosis by oral supplementation of A. muciniphila stimulates intestinal autophagy, reduces metabolic syndrome, dampens inflammation, and enhances anticancer immune responses.295 Indeed, a notable feature of effective anti-aging interventions, such as lowered insulin/IGF-1 signaling296 and disruption of the TORC1 complex,296,297 is the diversity of mechanisms by which they target different aging hallmarks in different tissues to maintain healthspan of the whole organism.

      Although each of the 12 hallmarks of aging can be targeted one by one, yielding tangible benefits for healthspan and lifespan (Table 1), there is some kind of hierarchy among them (Figure 1). Thus, as we initially proposed,1 the primary hallmarks, which reflect damages affecting the genome, telomeres, epigenome, proteome, and organelles, progressively accumulate with time and unambiguously contribute to the aging process.298 The antagonistic hallmarks, which reflect responses to damage, play a more nuanced role in the aging process. For example, trophic signaling and anabolic reactions activated by nutrientsensing have beneficial actions in youth but are largely pro-ageing later on. Thus, in an archetypal case of antagonistic pleiotropy, the nutrient-sensing network contributes to organ development until young adulthood but plays a detrimental role beyond this stage. Additionally, reversible and low-dose mitochondrial dysfunction can stimulate beneficial counterreactions (via mitohormesis), whereas limited and spatially confined levels of cellular senescence contribute to the suppression of oncogenesis and improve wound healing. Finally, the integrative hallmarks arise when the accumulated damage inflicted by the primary and antagonistic hallmarks cannot be compensated any more, resulting in stem cell exhaustion, intercellular communication alterations including ECM damage, chronic inflammation, and dysbiosis, which together dictate the pace of aging.

      Recently, we postulated the existence of eight hallmarks of health,146 which include organizational features of spatial compartmentalization (integrity of barriers and containment of local perturbations), maintenance of homeostasis over time (recycling and turnover, integration of circuitries, and rhythmic oscillations), and an array of adequate responses to perturbation (homeostatic resilience, hormetic regulation, and repair and regeneration). Undoubtedly, aging is linked to progressive deterioration of these eight hallmarks of health, implying a ramping incapacity to maintain spatial compartmentalization (with the consequent loss of integrity of internal and external barriers, as well as the incapacity to contain perturbations of such barriers in space and time), to assure long-term homeostasis (with reduced capacity of recycling and turnover, inefficient coordination among different systems via integrated circuitries, and desynchronization of ultradian, circadian, or infradian rhythms), and to adequately respond to stress by complete repair and regeneration, homeostatic resilience, and hormetic regulation (Figure 7). This decline affects all eight strata of organismal organization, across different classes of molecules (such as DNA, RNA, proteins, and metabolites), organelles (such as nuclei, mitochondria, and lysosomes), cell types (such as parenchymatous, auxiliary/stromal, and inflammatory/immune cells), supracellular units constituting the minimal functional entities of organs, entire organs within their anatomical boundaries, organ systems (such as the gastrointestinal, respiratory, and urinary tracts), systemic circuitries (with their endocrine, neurological, lymphatic, and vascular connections), as well as the meta-organism (that includes the microbiota). As a result, the 12 hallmarks of aging are interconnected to the eight hallmarks of failing health and the eight strata of organismal organization (Figure 7), creating a multidimensional space of interactions that may explain some features of the aging process.

      Heterochronic parabiosis experiments, in which the vascular systems of young and old mice are connected, may illustrate best the importance of systemic regulatory factors (such as hormones and circulating cells) on the aging process. This phenomenon has been extensively characterized at the level of single-cell transcriptomics, yielding a spatiotemporal map of the capacity of the young system to rejuvenate an older one or, vice versa, the ability of pro-aging factors to precipitate the senescence of young cells.74,75 This type of experiment demonstrates that aging relies on the integration of cell-autonomous and non-cell-autonomous mechanisms that also have been revealed in Drosophila (in which stimulation of autophagy in the intestine is sufficient to extend lifespan of the entire organism)120 and mice (in which injection of a few thousands of senescent fibroblasts is sufficient to trigger invalidating osteoarthritis).299 Hence, pro-aging and anti-aging mechanisms can be communicated among distinct cell types, perhaps explaining that ‘‘normal’’ aging usually affects multiple organs in a closeto-synchronous fashion, at difference with ‘‘pathological’’ aging in which time-dependent diseases precociously manifest in specific locations, in the form of initially isolated cardiovascular, oncological, or neurodegenerative disorders. However, the distinction between normal and pathological aging is debatable,300 and some progeroid syndromes manifest signs of incomplete or segmental aging, as exemplified by the absence of a central nervous phenotype in HGPS.

      In view of the spectacular progress of developing longevity strategies in mammalian model organisms and initial clinical trials (Table 1), it will be important to develop rational strategies for intervening into human aging. The question arises to which extent strategies for extending human healthspan should be based on the avoidance of age-accelerating environmental factors (such as pollution, stress, inadequate physical activity, and unhealthy diets, often unavoidable in a context of poverty, precariousness, and wartime), the adoption of health-promoting lifestyle factors (such as diet, exercise, regular sleeping patterns, and social activities), the administration of relatively non-specific, pleiotropic drugs (exemplified by NAD+ precursors, metformin, spermidine, or MTORC1 inhibitors), or more specific medical interventions. Such specific treatments may involve pharmacological agents—with the prospective of a broad implementation, genetic or cell-based therapies—with rather complex logistics and elevated costs, or bioengineering methods for surgical tissue replacement, which most likely will mainly remain in the realm of experimentation. Given the multiplicity of hallmarks offering therapeutic strategies for decelerating, halting, or reversing aging, it will be interesting to evaluate combination regimens with the scope of maximizing benefits and minimizing side effects. The question remains open whether such healthspan and lifespan extending prophylactic treatments will profit from personalization based on individual patient characteristics determined by the genetic, epigenetic, metabolomic, or phenotypic assessments of aging clocks.

      Aging is not yet a recognized target for drug development or for treatment. For this reason, the first clinical trials evaluating antiaging interventions must deal with the prevention or mitigation of age-associated pathologies rather than aging itself. Although such trials have been designed to target high-risk populations (such as patients with myocardial infarction and laboratory signs of inflammation in the CANTOS trial or patients with frailty or cardiovascular events to be enrolled in future metformin-related trials) and to measure the manifestation of a second cardiovascular event or aggravation of frailty, there is a risk that they are programmed too late, which is of significant concern. Indeed, at this point, academic geroscience may raise or fall as the function of the outcome of the first randomized, double-blinded phase 3 trials. The new directions of the hallmarks of aging may provide an improved framework for the development of effective interventions aimed at the extension of healthy longevity.

ACKNOWLEDGMENTS

      We apologize for omitting relevant works and citations due to space constraints. We acknowledge all members of our laboratories for helpful comments during the elaboration of this manuscript. We thank Jose´M.P.Freije for critical reading of the manuscript. C.L-O. is supported by grants from the European Research Council (ERC Advanced Grant, DeAge), Ministerio de Ciencia e Innovacio´n, Instituto de Salud Carlos III, and La Caixa Foundation (HR17-00221). The Instituto Universitario de Oncologı´a is supported byFundacio´n Bancaria Caja de Ahorros de Asturias. M.B. is funded by AgenciaEstatal de Investigacio´n (AEI/MCI/10.13039/501100011033, project RETOS SAF2017-82623-R), cofunded by European Regional Development Fund, ‘‘A way of making Europe’’; Comunidad de Madrid with the Sinergy Project COVIDPREclinicalMODels-CM and the ERC under the European Union’s Horizon 2020 research and innovation programme (grant 882385) through the project ERC-AvG SHELTERINS. The CNIO, certified as Severo Ochoa Centre of Excellence by AEI/MCI/10.13039/501100011033, is supported by the Spanish Government through the Instituto de Salud Carlos III. L.P. is supported by Horizon 2020 Framework Programme 741989, the Max Planck Society, and the BBSRC. M.S. is funded by a core grant from the IRB, La Caixa Foundation, the Milky Way Research Foundation, and Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement of Catalonia (Grup de Recerca Consolidat 2017 SGR 282). G.K. is supported by the Ligue contre le Cancer (e ´quipe labellise´ e); Agence National de la Recherche (ANR)–Projets blancs; AMMICa US23/CNRS UMS3655; Association pour la recherche sur le cancer (ARC); Cance ´ ropo ˆ le Ile-de-France; Fondation pour la Recherche Me´ dicale (FRM); a donation by Elior; Equipex Onco-Pheno-Screen; European Joint Programme on Rare Diseases; the European Union Horizon 2020 Projects Oncobiome and Crimson; Fondation Carrefour; Institut National du Cancer; Institut Universitaire de France; LabEx Immuno-Oncology (ANR-18- IDEX-0001); a Cancer Research ASPIRE Award from the Mark Foundation; the RHU Immunolife; Seerave Foundation; SIRIC Stratified Oncology Cell DNA Repair and Tumor Immune Elimination (SOCRATE); and SIRIC Cancer Research and Personalized Medicine (CARPEM). This study contributes to the IdEx Universite ´ de Paris ANR-18-IDEX-0001.

DECLARATION OF INTERESTS

      M.A.B. is founder and shareholder of Life Length, SL, which commercializes telomere length measurements for biomedical use. M.S. is shareholder and advisor of Rejuveron Senescence Therapeutics, AG, and Altos Labs, Inc.; and shareholder of Senolytic Therapeutics, Inc., and Life Biosciences, Inc. G.K. has been holding research contracts with Daiichi Sankyo, Eleor, Kaleido, Lytix Pharma, PharmaMar, Osasuna Therapeutics, Samsara Therapeutics, Sanofi, Sotio, Tollys, Vascage, and Vasculox/Tioma; consulting for Reithera and is on the Board of Directors of the Bristol Myers Squibb Foundation France. G.K. is a scientific co-founder of everImmune, Osasuna Therapeutics, Samsara Therapeutics, and Therafast Bio. G.K. is the inventor of patents covering therapeutic targeting of aging, cancer, cystic fibrosis, and metabolic disorders and has been holding research contracts with Daiichi Sankyo, Eleor, Kaleido, Lytix Pharma, PharmaMar, Osasuna Therapeutics, Samsara Therapeutics, Sanofi, Tollys, and Vascage; has been consulting for Reithera; is on the Board of Directors of the Bristol Myers Squibb Foundation France, and is a scientific co-founder of everImmune, Osasuna Therapeutics, Samsara Therapeutics, and Therafast Bio. G.K.’s wife, Laurence Zitvogel has held research contracts with 9 Meters Biopharma, Daiichi Sankyo, Pilege, was on the on the Board of Directors of Transgene, is a co-founder of everImmune, and holds patents covering the treatment of cancer and the therapeutic manipulation of the microbiota. G.K.’s brother, Romano Kroemer, was an employee of Sanofi and has consulted for Boehringer-Ingelheim. None of the funders had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

REFERENCES

1. Lo´pez-Otı´n, C., Blasco, M.A., Partridge, L., Serrano, M., and Kroemer, G. (2013). The hallmarks of aging. Cell 153, 1194–1217. https://doi.org/ 10.1016/j.cell.2013.05.039.

2. Fraser, H.C., Kuan, V., Johnen, R., Zwierzyna, M., Hingorani, A.D., Beyer, A., and Partridge, L. (2022). Biological mechanisms of aging predict age-related disease co-occurrence in patients. Aging Cell 21, e13524. https://doi.org/10.1111/acel.13524.

3. Vijg, J., and Dong, X. (2020). Pathogenic mechanisms of somatic mutation and genome mosaicism in aging. Cell 182, 12–23. https://doi.org/ 10.1016/j.cell.2020.06.024.

4. Miller, K.N., Victorelli, S.G., Salmonowicz, H., Dasgupta, N., Liu, T., Passos, J.F., and Adams, P.D. (2021). Cytoplasmic DNA: sources, sensing, and role in aging and disease. Cell 184, 5506–5526. https://doi.org/10. 1016/j.cell.2021.09.034.

5. Huang, Z., Sun, S., Lee, M., Maslov, A.Y., Shi, M., Waldman, S., Marsh, A., Siddiqui, T., Dong, X., Peter, Y., et al. (2022). Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking. Nat. Genet. 54, 492–498. https://doi.org/10.1038/ s41588-022-01035-w.

6. Blokzijl, F., de Ligt, J., Jager, M., Sasselli, V., Roerink, S., Sasaki, N., Huch, M., Boymans, S., Kuijk, E., Prins, P., et al. (2016). Tissue-specific mutation accumulation in human adult stem cells during life. Nature 538, 260–264. https://doi.org/10.1038/nature19768.

7. Miller, M.B., Huang, A.Y., Kim, J., Zhou, Z., Kirkham, S.L., Maury, E.A., Ziegenfuss, J.S., Reed, H.C., Neil, J.E., Rento, L., et al. (2022). Somatic genomic changes in single Alzheimer’s disease neurons. Nature 604, 714–722. https://doi.org/10.1038/s41586-022-04640-1.

8. Martincorena, I., Fowler, J.C., Wabik, A., Lawson, A.R.J., Abascal, F., Hall, M.W.J., Cagan, A., Murai, K., Mahbubani, K., Stratton, M.R., et al. (2018). Somatic mutant clones colonize the human esophagus with age. Science 362, 911–917. https://doi.org/10.1126/science. aau3879.

9. Nik-Zainal, S., and Hall, B.A. (2019). Cellular survival over genomic perfection. Science 366, 802–803. https://doi.org/10.1126/science. aax8046.

10. Balmain, A. (2020). The critical roles of somatic mutations and environmental tumor-promoting agents in cancer risk. Nat. Genet. 52, 1139–1143. https://doi.org/10.1038/s41588-020-00727-5.

11. Cagan, A., Baez-Ortega, A., Brzozowska, N., Abascal, F., Coorens, T.H.H., Sanders, M.A., Lawson, A.R.J., Harvey, L.M.R., Bhosle, S., Jones, D., et al. (2022). Somatic mutation rates scale with lifespan across mammals. Nature 604, 517–524. https://doi.org/10.1038/s41586-022- 04618-z.

12. Hennekam, R.C.M. (2020). Pathophysiology of premature aging characteristics in Mendelian progeroid disorders. Eur. J. Med. Genet. 63,104028. https://doi.org/10.1016/j.ejmg.2020.104028.

13. North, B.J., Rosenberg, M.A., Jeganathan, K.B., Hafner, A.V., Michan, S., Dai, J., Baker, D.J., Cen, Y., Wu, L.E., Sauve, A.A., et al. (2014). SIRT2 induces the checkpoint kinase BubR1 to increase lifespan. EMBO J. 33, 1438–1453. https://doi.org/10.15252/embj.201386907.

14. Quesada, V., Freitas-Rodrı´guez, S., Miller, J., Pe´ rez-Silva, J.G., Jiang, Z.F., Tapia, W., Santiago-Ferna´ndez, O., Campos-Iglesias, D., Kuderna, L.F.K., Quinzin, M., et al. (2019). Giant tortoise genomes provide insights into longevity and age-related disease. Nat. Ecol. Evol. 3, 87–95. https:// doi.org/10.1038/s41559-018-0733-x.

15. Tian, X., Firsanov, D., Zhang, Z., Cheng, Y., Luo, L., Tombline, G., Tan, R., Simon, M., Henderson, S., Steffan, J., et al. (2019). SIRT6 is responsible for more efficient DNA double-strand break repair in long-lived species. Cell 177, 622–638.e22. https://doi.org/10.1016/j.cell.2019.03.043.

16. Roichman, A., Elhanati, S., Aon, M.A., Abramovich, I., Di Francesco, A., Shahar, Y., Avivi, M.Y., Shurgi, M., Rubinstein, A., Wiesner, Y., et al. (2021). Restoration of energy homeostasis by SIRT6 extends healthy lifespan. Nat. Commun. 12, 3208. https://doi.org/10.1038/s41467-021-23545-7.

17. Michel, M., Benı´tez-Buelga, C., Calvo, P.A., Hanna, B.M.F., Mortusewicz, O., Masuyer, G., Davies, J., Wallner, O., Sanjiv, K., Albers, J.J., et al. (2022). Small-molecule activation of OGG1 increases oxidative DNA damage repair by gaining a new function. Science 376, 1471–1476. https://doi.org/10.1126/science.abf8980.

18. Gordon, L.B., Rothman, F.G., Lo´pez-Otı´n, C., and Misteli, T. (2014). Progeria: a paradigm for translational medicine. Cell 156, 400–407. https://doi.org/10.1016/j.cell.2013.12.028.

19. Toma´s-Loba, A., Flores, I., Ferna´ndez-Marcos, P.J., Cayuela, M.L., Maraver, A., Tejera, A., Borra ´ s, C., Matheu, A., Klatt, P., Flores, J.M., et al. (2008). Telomerase reverse transcriptase delays aging in cancerresistant mice. Cell 135, 609–622. https://doi.org/10.1016/j.cell.2008. 09.034.

20. Jaskelioff, M., Muller, F.L., Paik, J.-H., Thomas, E., Jiang, S., Adams, A.C., Sahin, E., Kost-Alimova, M., Protopopov, A., Cadin˜anos, J., et al.(2011). Telomerase reactivation reverses tissue degeneration in aged telomerase-deficient mice. Nature 469, 102–106. https://doi.org/10. 1038/nature09603.

21. Bernardes de Jesus, B., Vera, E., Schneeberger, K., Tejera, A.M., Ayuso, E., Bosch, F., and Blasco, M.A. (2012). Telomerase gene therapy in adult and old mice delays aging and increases longevity without increasing cancer. EMBO Mol. Med. 4, 691–704. https://doi.org/10.1002/emmm. 201200245.

22. Mun˜oz-Lorente, M.A., Cano-Martin, A.C., and Blasco, M.A. (2019). Mice with hyper-long telomeres show less metabolic aging and longer lifespans. Nat. Commun. 10, 4723. https://doi.org/10.1038/s41467-019- 12664-x.

23. Shim, H.S., Horner, J.W., Wu, C.-J., Li, J., Lan, Z.D., Jiang, S., Xu, X., Hsu, W.-H., Zal, T., Flores, I.I., et al. (2021). Telomerase reverse transcriptase preserves neuron survival and cognition in Alzheimer’s disease models. Nat Aging 1, 1162–1174. https://doi.org/10.1038/s43587-021- 00146-z.

24. Povedano, J.M., Martinez, P., Serrano, R., Tejera, A´., Go´mez-Lo´pez, G., Bobadilla, M., Flores, J.M., Bosch, F., and Blasco, M.A. (2018). Therapeutic effects of telomerase in mice with pulmonary fibrosis induced by damage to the lungs and short telomeres. eLife 7, e31299. https://doi. org/10.7554/eLife.31299.

25. Ba¨r, C., Povedano, J.M., Serrano, R., Benitez-Buelga, C., Popkes, M., Formentini, I., Bobadilla, M., Bosch, F., and Blasco, M.A. (2016). Telomerase gene therapy rescues telomere length, bone marrow aplasia, and survival in mice with aplastic anemia. Blood 127, 1770–1779. https:// doi.org/10.1182/blood-2015-08-667485.

26. Demidenko, O., Barardo, D., Budovskii, V., Finnemore, R., Palmer, F.R., Kennedy, B.K., and Budovskaya, Y.V. (2021). Rejuvant , a potential life extending compound formulation with alpha-ketoglutarate and vitamins, conferred an average 8 year reduction in biological aging, after an average of 7 months of use, in the TruAge DNA methylation test. Aging (Albany, NY) 13, 24485–24499. https://doi.org/10.18632/aging.203736.

27. Fahy, G.M., Brooke, R.T., Watson, J.P., Good, Z., Vasanawala, S.S., Maecker, H., Leipold, M.D., Lin, D.T.S., Kobor, M.S., and Horvath, S. (2019). Reversal of epigenetic aging and immunosenescent trends in humans. Aging Cell 18, e13028. https://doi.org/10.1111/acel.13028.

28. Wang, W., Zheng, Y., Sun, S., Li, W., Song, M., Ji, Q., Wu, Z., Liu, Z., Fan, Y., Liu, F., et al. (2021). A genome-wide CRISPR-based screen identifies KAT7 as a driver of cellular senescence. Sci. Transl. Med. 13, eabd2655. https://doi.org/10.1126/scitranslmed.abd2655.

29. Bhatt V., Tiwari A.K. Sirtuins, a key regulator of ageing and age-related neurodegenerative diseases. Int. J. Neurosci. 2022, Published online May 13, 2022:1–26. https://doi.org/10.1080/00207454.2022.2057849.

30. He, W.-Z., Yang, M., Jiang, Y., He, C., Sun, Y.-C., Liu, L., Huang, M., Jiao, Y.-R., Chen, K.-X., Hou, J., et al. (2022). miR-188-3p targets skeletal endothelium coupling of angiogenesis and osteogenesis during ageing. Cell Death Dis. 13, 494. https://doi.org/10.1038/s41419-022-04902-w.

31. Kumar, S., Morton, H., Sawant, N., Orlov, E., Bunquin, L.E., Pradeep kiran, J.A., Alvir, R., and Reddy, P.H. (2021). MicroRNA-455-3p improves synaptic, cognitive functions and extends lifespan: relevance to Alzheimer’s disease. Redox Biol. 48, 102182. https://doi.org/10.1016/j. redox.2021.102182.

32. Simon, M., Van Meter, M., Ablaeva, J., Ke, Z., Gonzalez, R.S., Taguchi, T., De Cecco, M., Leonova, K.I., Kogan, V., Helfand, S.L., et al. (2019). LINE1 derepression in aged wild-type and SIRT6-deficient mice drives inflammation. Cell Metab. 29, 871–885.e5. https://doi.org/10.1016/j. cmet.2019.02.014.

33. Dong, S., Wang, Q., Kao, Y.-R., Diaz, A., Tasset, I., Kaushik, S., Thiruthu vanathan, V., Zintiridou, A., Nieves, E., Dzieciatkowska, M., et al. (2021). Chaperone-mediated autophagy sustains haematopoietic stem-cell function. Nature 591, 117–123. https://doi.org/10.1038/s41586-020- 03129-z.

34. Madrigal-Matute, J., de Bruijn, J., van Kuijk, K., Riascos-Bernal, D.F., Diaz, A., Tasset, I., Martı´n-Segura, A., Gijbels, M.J.J., Sander, B., Kaushik, S., et al. (2022). Protective role of chaperone-mediated autophagy against atherosclerosis. Proc. Natl. Acad. Sci. USA 119. e2121133119. https://doi.org/10.1073/pnas.2121133119.

35. Bobkova, N.V., Evgen’ev, M., Garbuz, D.G., Kulikov, A.M., Morozov, A., Samokhin, A., Velmeshev, D., Medvinskaya, N., Nesterova, I., Pollock, A., et al. (2015). Exogenous Hsp70 delays senescence and improves cognitive function in aging mice. Proc. Natl. Acad. Sci. USA 112, 16006–16011. https://doi.org/10.1073/pnas.1516131112.

36. Hafycz, J.M., Strus, E., and Naidoo, N. (2022). Reducing ER stress with chaperone therapy reverses sleep fragmentation and cognitive decline in aged mice. Aging Cell 21, e13598. https://doi.org/10.1111/acel.13598.

37. Dalla Bella, E., Bersano, E., Antonini, G.,. Borghero, G., Capasso, M., Caponnetto, C, Chio, A, Corbo, M., Filosto, M., Giannini, F., et al. (2021). The unfolded protein response in amyotrophic later sclerosis: results of a phase 2 trial. Brain 144, 2635- 2647. https://doi.org/10. 1093/brain/ awab167.

38. Pyo,J.-O., Yoo, S.-M., Ahn, H.-H., Nah, J.. Hong, S.-H.,. Kam, T.-l, Jung, S, and Jung, Y.-K. (2013). Overexpression of Atg5 in mice activates autophagy and extends lifespan. Nat. Commun. 4, 2300.https://doi. org/10.1038/ncomms3300.

39. Femandez, A.F., Sebti, S., Wei, Y., Zou, Z., Shi, M., McMillan, K.L, He, C., Ting, T., Liu, Y., Chiang, W.-C., et al. (2018). Disruption of the beclin 1- BCL 2 autophagy regulatory complex promotes longevity in mice. Nature 558, 136-140. https://doi.org/10. 1038/s41586-018-0162-7.

40. Wang, C., Haas, M., Yeo, S.K, Sebti, S., Femandez, A.F., Zou, Z.. Levine, B., and Guan, J.-L. (2022). Enhanced autophagy in Becn1 F121A/F121A knockin mice counteracts aging-related neural stem cell exhaustion and dysfunction. Autophagy 18, 409- -422. htp://oi.org/10.1080/ 15548627. .2021.1936358.

41. Eisenberg, T., Abdellatif, M., Schroeder, S., Primessnig, U., Stekovic, S., Pendl, T., Harger, A., Schipke, J, Zimmermann, A., Schmidt, A., et al. (2016). Cardioprotection and lifespan extension by the natural polyamine spermidine. Nat. Med.22, 1428-1438. htps://doi.org/10.1038/nm.4222.

42. Castoldi, F., Humeau, J.,. Martins, L, Lachkar, S., Loew, D., Dngli, F., Durand, S., Enot, D., Bossut, N., Chery, A, et al. (2020). Autophagy-mediated metabolic effects of aspirin. Cell Death Discov. 6, 129. https://doi. org/10.1038/s4 1420-020-00365-0.

43. Tezil, T., Chamoli, M., Ng, C.-P., Simon, R.P.. Butler, V.J., Jung, M., Andersen, J., Kao, AW., and Verdin, E. (201 9). Lifespan-increasing drug nordihydroguaiaretic acid inhibits p300 and activates autophagy. NPJ Aging Mech. Dis. 5, 7. hts://doi.org/10.1038/s41514-019-0037-7.

44. Yoshino, M., Yoshino, J., Kayser, B.D., Patti, G.J., Franczyk, M.P., Mills, K.F., Sindelar, M., Pietka, T., Patterson, B.W., Imai, S.-., et al. (2021). Nicotinamide mononucleotide increases muscle insulin sensitivity in prediabetic women. Science 372, 1224-1 229. https://doi.org/10.1 126/science.abe9985.

45. Brakedal, B., Dolle, C., Riemer, F., Ma, Y., Nido, G.S, Skeie, G.0., Craven, A.R., Schwarlmiller, T., Brekke, N., Diab, J., et al. (2022). The NADPARK study: A randomized phase 1 trial of nicotinamide riboside
supplementation in Parkinson's disease. Cell Metab. 34, 396- 407.e6. https://doi.org/10.1016/j.cmet.2022. 02.001.

46. Chen, A.C., Martin, A.J, Choy, B., Femandez-Penas, P., Daliell, R.A., McKenzie, C.A, Scolyer, R.A., Dhillon, H.M., Vardy, J.L, Kricker, A., et al. (2015). A phase 3 randomized trial of nicotinamide for skin-cancer chemoprevention. N. Engl. J. Med. 373, 1618-1626. https://doi.org/10. 1056/NEJMoa1506197.

47. Singh, A., D'Amico, D., Andreux, P.A, Fouassier, A.M., Blanco-Bose, W., Evans, M., Aebischer, P., Auwerx, J, and Rinsch, C. (2022). Urolithin A improves muscle strength, exercise performance, and biomarkers of mitochondrial health in a randomized trial in middle -aged adults. Cell Rep. Med.3, 100633. https://doi.org/10.101 6/j.xcrm.2022.100633.

48. Duran-Ortiz, S., List, E.0, Ikeno, Y., Young, J, Basu, R, Bell, S., McHugh, T., Funk, K., Mathes, S., Qian, Y, et al. (2021). Growth homone receptor gene disruption in mature-adult mice improves male insulin sensitivity and extends female lifespan. Aging Cell 20, e13506. https:// doi.og/10.1111/acel.13506. 49. Acosta-Rodriguez, V., Rijo-Ferreira, F.. Izumo, M., Xu, P., Wight-Carter, M., Green, C.B., and Takahashi, J.S. (2022)- Circadian alignment of early onset caloric restriction promotes longevity in male C57BL _/6J mice. Science 376, 1192-1202. https://doi.org/10.1126/science .abk0297.

50. Spadaro, 0.. Youm, Y., Shchukina, 1., Ryu, s., Sidorov, S., Ravussin, A., Nguyen, K., Aladyeva, E., Predeus, A.N, Smith, S.R., et al. (2022)- Caloric restriction in humans reveals immunometabolic regulators of health span. Science 375, 671- -677. https://doi.org/10.1 126/science.abg7292.

51. Fan, s.-z., Lin, C.-S., Wei, Y.-W., Yeh, S.-R., Tsai, Y.-H., Lee, A.C., Lin, W.-s., and Wang, P.-Y. (2021). Dietary citrate supplementation enhances longevity, metabolic health, and memory performance through promoting ketogenesis. Aging Cell 20， e13510. https://doi.org/10.1111/acel.13510.

52. Tavallaie, M., Voshtani, R, Deng, X., Qiao, Y., Jiang,Collman, J. and Fu, L. (2020). Moderation of mitochondrial respiration mitigates metabolic syndrome of aging. Proc. Natl. Acad. Sci. USA 117, 9840-
9850. https://doi.org/10.1073/pnas. 1917948117.

53. Goedeke, L, Murt, K.N., Di Francesco, A, Camporez, JP., Nasiri, A.,Wang, Y., Zhang, X.-M., Cline, G.W., de Cabo, R., and Shulman, G.I.(2022)- Sex- and strain-specific effects of mitochondrial uncoupling on age-related metabolic diseases in high-fat diet-fed mice. Aging Cell 21,e13539. https://doi.org/0.1111/acel. 13539.

54. Zhang, H., Alder, N.N., Wang, W., Szeto, H., Marcinek, D.J.,. and Rabinovitch, P.S. (2020). Reduction of elevated proton leak rejuvenates mitochondria in the aged cardiomyocyte. eLife 9, e60827. hts://doi.org/10.7554/eLife.60827.

55. Goedeke, L, Peng, L, Montalvo-Romeral, V., Butrico, G.M., Dufour, S.,Zhang, X.-M., Perry, R.J, Cline, G.W, Kievit, P., Chng, K., et al. (2019). Controlled-release mitochondrial protonophore (CRMP)reverses dyslipidemia and hepatic steatosis in dysmetabolic nonhuman primates. Sci. Transl. Med. 11， eaay0284. https://doi.org/10. 1126/scitranslmed.aay0284.

56. Reid Thompson, W., Homby, B., Manuel, R., Bradley, E., Laux, J., Carr,J., and Vernon, H.J. (2021). A phase 2/3 randomized clinical trial followed by an open-label extension to evaluate the effectiveness of elamipretide in Barth syndrome, a genetic disorder of mitochondrial cardiolipin metabolism. Genet. Med. 23, 471- -478. https://doi.org/10.1038/s41 436-020-01006-8.

57. Chee, C., Shannon, C.E, Bums, A, Selby, A.L, Wilkinson, D.. Smith, K., Greenhaff, P.L, and Stephens, F .B. (2021). Increasing skeletal muscle carnitine content in older individuals increases whole-body fat oxidation during moderate-intensity exercise. Aging Cell 20, e13303. https://doi. org/10.1111/acel.13303.

58. Baker, D.J., Childs, B.G., Durik, M., Wijers, M.E., Sieben, C.J, Zhong, J, Saltness, R.A., Jeganathan, K.B., Verzosa, G.C., Pezeshki, A., et al. (2016). Naturally occuring p1 6(nk4a)-positive cells shorten healthy lifespan. Nature 530, 184-189. htp://doi.org/10.1038/nature16932.

59. Xu, M., Pirtskhalava, T., Far, J.N., Weigand, B.M., Palmer, A.K., Weivoda, M.M., Inman, C.L, Ogrodnik, M.B., Hachfeld, C.M., Fraser, D.G., et al. (201 8). Senolytics improve physical function and increase lifespan in old age. Nat. Med. 24, 1246-1256. https://doi.org/10.1038/s41591-018-0092-9.

60. Yousefzadeh, M.J., Zhu, Y., McGowan, S.J, Angelini, L, Fuhrmann- Stroissnigg, H., Xu, M., Ling, Y.Y, Melos, K.I., Pirtskhalava, T., Inman, C.L, et al. (2018). Fisetin is a senotherapeutic that extends health and lifespan. EBiomedicine 36， 18- -28. https://doi.org/10. 1016/j.ebiom. 2018.09.015.

61. Justice, J.N., Nambiar, A.M., Tchkonia, T.,LeBrasseur, N.K., Pascual, R., Hashmi, S.K., Prata, L, Masternak, M.M., Kritchevsky, S.B., Musi, N., et al. (2019). Senolytics in idiopathic pulmonary fibrosis: results from a first-in-human, open-label, pilot study. EBioMedicine 40, 554- -563. https://oi.org/10.1016/j.ebiom.2018.12.052.

62. Hickson, L.J., L anghi Prata, L.G.P, Bobart, S.A., Evans, T.K., Giorgadze, N., Hashmi, S.K., Hermann, S.M., Jensen, M.D., Jia, Q., Jordan, K et al. (2019). Senolytics decrease senescent cells in humans: preliminary report from a clinical trial of dasatinib plus quercetin in individuals with diabetic kidney disease. EBioMedicine 47, 446- -456. htts://doi.org/10. 1016/j.ebiom.2019.08.069.

63. Ocampo, A., Reddy, P., Martinez- Redondo, P., Platero-Luengo, A., Ha- tanaka, F, Hishida, T., Li, M., Lam, D., Kurita, M., Beyret, E., et al. (2016). In vivo amelioration of age- associated hallmarks by partial reprogramming. Cell 167, 1719–1733.e12. https://doi.org/10.1016/j.cell. 2016.11.052.

64. Browder, K.C, Reddy, P., Yamamoto, M., Haghani, A., Guillen, l.G.,Sahu, S., Wang, C., Luque, Y., Prieto, J., Shi, L, et al. (2022). In vivo partial reprogramming alters age-associated molecular changes during physiological aging in mice. Nat Aging 2, 243- -253. https://doi.org/10. 1038/s43587-022-00183-2.

65. Chen, Y, Littmann, F.F., Schoger, E., Scholer, H.R, Zelarayan, L.C., Kim, K.-P., Haigh, JJ， Kim, J, and Braun, T. (2021). Reversible reprogramming of cardiomyocytes to a fetal state drives heart regenera-
tion in mice. Science 373, 1537-1540. https://doi.org/10.1126/science.abg5159.

66. Hishida, T., Yamamoto, M., Hishida-Nozaki, Y., Shao, C, Huang, L, Wang, C., Shojima, K., Xue, Y., Hang, Y., Shokhirev, M., et al. (2022). In vivo partialcellular reprogramming enhances liver plasticity and regeneration. Cell Rep. 39, 110730. https://doi.org/10. 1016/j.celrep.2022.110730.

67. Rodriguez-Matellan, A, Alcazar, N., Hemandez, F, Serrano, M., and Avila, J. (2020). In vivo reprogramming ameliorates aging features in dentate gyrus cells and improves memory in mice. Stem Cell Rep.15, 1056-1066. https://doi.org/10.1016/j.stemcr.2020.09.010.

68. Gao, X., Wang, X., Xiong, W., and Chen, J. (2016). In vivo reprogramming reactive glia into iPSCs to produce new neurons in the cortex following traumatic brain injury. Sci. Rep. 6, 22490. https://doi.org/10.1038/ srep22490.

69. Doeser, M.C., Schioler, H., and Wu, G. (201 8). Reduction of fibrosis and scar formation by partial reprogramming in vivo. Stem Cells 36, 1216-1225. https://doi.org/10.1002/stem.2842.

70. Lu, Y., Brommer, B., Tian, ., Krishnan, A, Meer, M., Wang, C., Vera, D.L, Zeng, Q, Yu, D., Bonkowski, M.S., et al. (2020). Reprogramming to recover youthful epigenetic information and restore vision. Nature 588, 124-129. https://doi.org/10. 1038/s41586-020-2975-4.

71. Mehdipour, M., Skinner, C., Wong, N., Lieb, M., Liu, C., Etienne, J., Kato, , C., Kiprov, D., Conboy, M.J, and Conboy, I.M. (2020). Rejuvenation of three germ layers tissues by exchanging old blood plasma with saline-albumin. Aging (Albany, NY) 12, 8790-8819. https://doi.org/10. 18632/aging.103418.

72. Rebo, J., Mehdipour, M., Gathwala, R., Causey, K., Liu, Y., Conboy, M.J, and Conboy, I.M. (2016). A single heterochronic blood exchange reveals rapid inhibition of multiple tissues by old blood. Nat. Commun.7, 13363. https://doi.org/10. 1038/ncomms13363.

73. Castellano, J.M., Mosher, K.I., Abbey, R.J, McBride, A.A., James, M.L, Berdnik, D., Shen,J.C, Zou, B., Xie, X.S., Tingle, M, et al. (2017). Human umbilical cord plasma proteins revitalize hippocampal function in aged mice. Nature 544, 488- 492. https://doi.org/10.1038/nature22067.

74. Ma, S., Wang, S., Ye, Y., Ren, J., Chen, R., Li, W., L, J., Zhao, L, Zhao,Q., Sun, G., et al. (2022). Heterochronic parabiosis induces stem cell revi-talization and systemic rejuvenation across aged tissues. Cell Stem Cell 29, 990 -1005.e10. https://doi.org/10.1016/j.stem.2022.04.017.

75. Palovics, R., Keller, A., Schaum, N, Tan, W., Fehlmann, T, Borja, M., Kern, F., Bonanno, L, Calcuttawala, K, Webber, J, et al. (2022). Molecular hallmarks of heterochronic parabiosis at single-cell resolution. Nature 603, 309- -314. https://doi.org/1 0.1038/s41586-022-04461-2.

76. Ballak, D.B., Brunt, V.E., Sapinsley, Z.J., Ziemba, B.P., Richey, JJ., Zigler, M.C，Johnson, L.C, Gioscia-Ryan, R.A，Culp-Hill, R，Eisen- messer, E.Z, et al. (2020). Short-term interleukin-37 treatment improves vascular endothelial function, endurance exercise capacity, and wholebody glucose metabolism in old mice. Aging Cell 19, e13074. htps:// doi.org/10.1111/acel.13074.

77. Frohlich, J., and Vinciguerra, M. (2020). Candidate rejuvenating factor GDF11 and tisue fibrosis: friend or foe? GeroScience 42, 1475-1498. https://doi.org/10.1007/s1 1357 -020-00279-W.

78. Grunewald, M., Kumar, S, Sharife, H., Volinsky, E, Gileles-Hillel, A., Licht, T, Permyakova, A., Hinden, L, Azar, S., Friedmann, Y, et al. (2021). Counteracting age-related VEGF signaling insufficiency pro-
motes healthy aging and extends life span. Science 373, eabc8479. https://doi.org/10.1126/science.abc8479.

79. Sladitschek-Martens, H.L, Guamieri, A., Brumana, G., Zanconato, F., Battilana, G.. Xiccato, R.L, Panciera, T., Forcato, M., Bicciato, S., Guz- zardo, V., et al. (2022). YAP/TAZ activity in stromal cells prevents ageing by controlling cGAS-STING. Nature 607, 790- 798. https://doi.org/10. 1038/s4 1586-022-04924-6.

80. Choi, H.R., Cho, K.A, Kang, H.T., Lee, J.B., Kaeberlein, M., Suh, Y, Chung, I.K., and Park, S.C. (2011). Restoration of senescent human diploid fibroblasts by modulation of the extracellular matrix. Aging Cell 10, 148-157. https://doi.org/10.1111/j.1474-9726 .2010.00654.x.

81. Yang, S., Gigout, S., Molinaro, A., Naito-Matsui, Y., Hilton, S., Foscarin, S., Nieuwenhuis, B., Tan, C.L, Verhaagen,J., Pizzorusso, T., et al. (2021). Chondroitin 6-sulphate is required for neuroplasticity and memory in ageing. Mol. Psychiatry 26， 5658- -5668. https://doi.org/10. 1038/ s41380-021-01208-9.

82. Desdin-Mico, G., Soto-Heredero, G., Aranda, J.F., Oller, J., Carrasco, E., Gabande-Rodriguez, E., Blanco, E.M., Alfranca, A.. Cusso, L, Desco, M, et al. (2020). T cells with dysfunctional mitochondria induce multimorbidity and premature senescence. Science 368, 1371-1376. https://doi.org/ 10.1 126/science aax0860.

83. Sciorati, C., Gamberale, R., Monno, A., Citterio, L, Lanzani, C., De Lor- enzo, R., Ramirez, G.A., Esposito, A, Manunta, P., Manfredi, A.A., et al. (2020). Pharmacological blockade of TNFa. prevents sarcopenia and prolongs survival in aging mice. Aging (Albany, NY) 12, 23497- 23508. https://doi.org/10.1 8632/aging.202200.

84. Gocmez, s.s, Yazir, Y., Gacar, G., Demirtas Sahin, T., Arkan, S, Karson, A., and Utkan, T. (2020). Etanercept improves aging-induced cognitive deficits by reducing inflammation and vascular dysfunction in rats. Physiol. Behav. 224, 113019. https://doi.org/10. 1016/.physbeh.2020.113019.

85. Minhas, P.S, Latif-Hernandez, A., McReynolds, M.R.， Durairaj, A.S., Wang, Q., Rubin, A., Joshi, A.U., He, J.Q.,. Gauba, E., Liu, L, et al. (2021). Restoring metabolism of myeloid cells reverses cognitive decline in ageing. Nature 590, 122- -128. https://doi.org/10. 1038/s41586-020- 03160-0. .

86. Marin-Aguilar, F., Lechuga-Vieco, A.V, Alcocer-Gomez, E., Castejon- Vega, B., Lucas, J., Garrido, C., Peralta-Garcia, A., Perez-Pulido, AJ, Varela-Lopez, A, Quiles, J.L, et al. (2020). NLRP3 inflammasome sup-pression improves longevity and prevents cardiac aging in male mice.Aging Cell 19, e13050. https://doi.og/1.1111/acel.13050.

87. Ridker, P.M., MacFadyen, J.G., Thuren, T., Everett, B.M., Libby, P., and Glynn, R.J; CANTOS Trial Group (2017). Effect of interleukin-1 β inhibition with canakinumab on incident lung cancer in patients with atheroscle-rosis: exploratory results from a randomised, double-blind, placebo- controlled trial. Lancet 390, 1833- -1842. https://doi.org/10.1016/S0140-6736(17)32247-X.

88. Barcena, C., Valdes-Mas, R., Mayoral, P, Garabaya, C.. Durand, s., Ro- driguez, F., Femandez-Garcia, M.T, Salazar, N, Nogacka, A.M., Garata-chea, N., et al. (2019). Healthspan and lifespan extension by fecal microbiota transplantation into progeroid mice. Nat. Med. 25, 1234-1242. https://doi.org/10. 1038/s41591-019-0504-5.

89. Lin, S.-W., Tsai, Y.-S., Chen, Y.-L., Wang, M.-F., Chen, C.-C., Lin, W.-H, and Fang， T.J. (2021). Lactobacillus plantarum GKM3 promotes longevity, memory retention, and reduces brain oxidation stress in
SAMP8 mice. Nutrients 13, 2860. https://doi.org/10.3390/nu1 3082860.

90. Boehme, M., Guzzetta, K.E, Bastiaanssen, T.F.S, van de Wouw, M., Moloney, G.M., Gual-Grau, A., Spichak, S., Olavarria-Ramirez, L, Fitz- gerald, P., Morllas, E., et al. (2021). Microbiota from young mice counter- acts selective age -associated behavioral deficits. Nat Aging 1, 666-676. https://doi.org/10.1038/s43587-021-00093-9.

91. Xu, L, Zhang, Q., Dou, X., Wang, Y.. Wang,J.. Zhou, Y., Liu, X., andL,J. (2022). Fecal microbiota transplantation from young donor mice improves ovarian function in aged mice. J. Genet. Genomics. https://doi. org/10.1016/j.jgg.2022.05.006.

92. Stebegg, M., Silva-Cayetano, A., Innocentin, S., Jenkins, T.P., Cantacessi, C., Gilbert, C., and Linterman, M.A. (2019). Heterochronic faecal transplantation boosts gut germinal centres in aged mice. Nat. Commun. 10, 2443. https://doi.org/10.1038/s41467-019-10430-7.

93. Krishnan, S., Ding, Y., Saedi, N., Choi, M., Sridharan, G.V., Sher, D.H., Yarmush, M.L,, Alaniz, R.C,, Jayaraman, A, and Lee, K. (2018). Gut microbiota-derived tryptophan metabolites modulate inflammatory response in hepatocytes and macrophages. Cell Rep. 23, 1099- 1111. https://doi.org/10.1016/j.celrep.2018.03.109.

94. Cryan, JF., O'Riordan, K.J., Cowan, C.S.M., Sandhu, K.V, Bastiaanssen, T.F.S., Boehme, M., Codagnone, M.G., Cussotto, s., Fulling, C., Golubeva, A.V, et al. (201 9). The microbiota-gut-brain axis. Physiol. Rev.99, 1877-2013. https://doi.org/10.1152/physrev.00018.2018.

95. Depommier, C., Everard, A., Druart, C, Plovier, H., Van Hul, M., VieiraSilva, s., Falony, G., Raes, J., Maiter, D., Delzenne, N.M., et al. (2019) Supplementation with Akkermansia muciniphila in overweight and obese human volunteers: a proof-of-concept exploratory study. Nat. Med. 25, 1096-1103. https://doi.org/10. 1038/s41591-019-0495-2.

96. Sanchez-Contreras, M., and Kennedy, S.R. (2022). The complicated nature of somatic mtDNA mutations in aging. Front. Aging 2, 805126. https://doi.org/10.3389/iragi.2021.805126.

97. Greaves, L.C, Nooteboom, M., Elson, J.L, Tuppen, H.A.L, Taylor, G.A., Commane, D.M., Arasaradnam, R.P., Khrapko, K., Taylor, R.W., Kirkwood, T.B.L, et al. (2014). Clonal expansion of early to midlife mitochondrial DNA point mutations drives mitochondrial dysfunction during human ageing. PLoS Genet. 10, e1004620. https://doi.org/10.1371/ journal.pgen. 1004620.

98. Arbeithuber, B., Cremona, M.A., Hester, J., Barrett, A., Higgins, B., Anthony, K，Chiaromonte, F, Diaz, F.J., and Makova, K.D. (2022). Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues. Proc. Nati. Acad. Sci. USA 119. e2118740119. htp://doi.org/10.1073/pnas.2118740119.

99. Wang, Y., Guo, X., Ye, K., Orth, M., and Gu, Z. (2021). Accelerated expanion of pathogenic mitochondrial DNA heteroplasmies in Huntington's disease. Proc. Natl. Acad. Sci. USA 118. e20146101 18. https://doi.org/10.1073/pnas.2014610118.

100. Macken, W.L, Vandrovcova, J, Hanna, M.G., and Pitceathly, R.D.S. (2021). Applying genomic and transcriptomic advances to mitochondrial medicine. Nat. Rev. Neurol. 17, 215- -230. https://doi.org/10.1038/ s41582-021-00455-2.

101. Lujan, S.A, Longley, M.J., Humble, M.H., Lavender, C.A., Burkholder, A., Blakely, E.L, Alston, C.L, Gorman, G.S., Turnbull, D.M., McFarland, R., et al. (2020). Ultrasensitive deletion detection links mitochondrial DNA replication, disease, and aging. Genome Biol. 21, 248. https://doi.org/ 10.1186/s* 13059-020-02138-5.

102. Shin, J.-Y, and Worman, H.J. (2022). Molecular pathology of laminopathies. Annu. Rev. Pathol.17, 159- 180. https://doi.org/1 0.1146/annurev- pathol-042220-034240.

103. Lai, W.-F., and Wong, W.-T. (2020). Progress and trends in the development of therapies for Hutchinson-Gilford progeria syndrome. Aging Cell 19, e13175. https://doi.org/0.1111/acel.13175.

104. Dhillon, s. (2021). Lonafamib: first approval. Drugs 81, 283- -289. https://doi.org/10.1007/s40265-020-01464-z.

105. Santiago-Fernandez, O.， Osorio, F.G.， Quesada, V., Rodriguez, Basso, S., Maeso, D.. Rolas, L, Barkaway, A., Nourshargh, S., Folgueras, A.R., et al. (2019). Development of a CRISPR/Cas9-based therapy for Hutchinson-Gilford progeria syndrome. Nat. Med. 25， 423- -426. 8-0338-6.

106. Koblan, L.W., Erdos, M.R., Wilson, C., Cabral, W.A., Levy, J.M., Xiong, Z.M., Tavarez, U.L, Davison, L.M., Gete, Y.G., Mao, X., et al. (2021). In vivo base editing rescues Hutchinson-Gilford progeria syndrome in mice. Nature 589， 608- 614. https://doi.org/10.1038/s41 586-020-03086-7

107. Blackburn, E.H., Epel, E.S., and Lin, J. (2015). Human telomere biology:A contributory and interactive factor in aging, disease risks, and protection. Science 350, 1193-1198. hts://doi.org/10.1126/science. aab3389.

108. Chakravarti, D., LaBella, K.A., and DePinho, R.A. (2021). Telomeres: history, health, and hallmarks of aging. Cell 184, 306- 322. https://doi.org/ 10.101/.cll.2020.12.028.

109. Blasco, M.A. (2005). Telomeres and human disease: ageing, cancer and beyond. Nat. Rev. Genet. 6, 61 1-622. hts://doi.org/10. 1038/rg1656.

110. Lopez-Otin, C., Pietrocola, F., Roiz-Valle, D., Galluzzi, L, and Kroemer, G. (2023). Meta-hallmarks of aging and cancer. Cell Metab. 35. https:// doi.org/10.1016/j.cmet.22.11.001.

111. Alder, J.K, andAmanios, M. (2022). Telomere-mediated lung disease. Physiol. Rev. 102, 1703- -1720. htps://oi.org/10.1152/physrev.00046.2021.

112. Whittemore, K., Vera, E., Martinez-Nevado, E., Sanpera, C., and Blasco, M.A. (201 9). Telomere shortening rate predicts species life span. Proc. Natl. Acad. Sci. USA 116, 15122- 15127. https://doi.org/10.1073/pnas. 1902452116.

113. Lim, C.J, and Cech, T.R. (202 1). Shaping human telomeres: from shelterin and CST complexes to telomeric chromatin organization. Nat. Rev. Mol. Cell Biol. 22, 283- -298. https://doi.org/10.1038/s41 580-021- 00328-y.

114. Martinez, P., and Blasco, M.A. (201 1). Telomeric and extra-telomeric roles for telomerase and the telomere-binding proteins. Nat. Rev. Cancer 11, 161-176. https://doi.org/10. 1038/nrc3025.

115. Rossiello, F, Jurk, D., Passos, J.F., and d'Adda di Fagagna, F. (2022). Telomere dysfunction in ageing and age-related diseases. Nat. Cel Biol. 24, 135-147. https://doi.org/10.1038/s41556-022-00842-x.

116. Saraswati, S., Martinez, P., Grana-Castro, 0., and Blasco, M.A. (2021). Short and dysfunctional telomeres sensitize the kidneys to develop fibrosis. Nat. Aging 1, 269 283. https://doi.org/10.1038/s43587-021- 00040-8.

117. Seale, K., Horvath, s., Teschendorf, A., Eynon, N., and Voisin, s. (2022). Making sense of the ageing methylome. Nat. Rev. Genet. 23, 585- -605. https://doi.org/10.1038/s41576-022-00477-6.

118. Bejaoui, Y, Razzaq, A., Yousri, N.A., Oshima, J，Megarbane, A., Qannan, A., Potabattula, R., Alam, T., Martin, G.M., Hom, H.F, et al. (2022). DNA methylation signatures in Blood DNA of Hutchinson-
Gilford progeria syndrome. Aging Cell 21, e13555. htps:/:oi.org/10. 1111/acel.13555.

 

119. Horvath, S., and Raj, K. (201 8). DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet. 19, 371-384. https://doi.org/10.1038/s41576-018-0004-3.

120. Lu, Y.-X, Regan, J.C., EBer, J., Drews, L.F, Weinseis, T., Stinn, J., Hahn, 0., Miller, R.A., Gronke, s., and Partridge, L. (2021). A TORC1-histone axis regulates chromatin organisation and non-canonical induction of autophagy to ameliorate ageing. eLife 10, e62233. hts://oi.org/10. 7554/eLife.62233.

121. Oh, E.S., and Petronis, A. (2021). Origins of human disease: the chrono-epigenetic perspective. Nat. Rev. Genet. 22, 533- -546. https://doi.org/10. 1038/s41576-021-00348-6.

122. Blasco, M.A. (2007). The epigenetic regulation of mammalian telomeres. Nat. Rev. Genet. 8, 299 -309. https://doi.org/10.1 038/nrg2047.

123. Brown, K., Xie, s., Qiu, x., Mohrin, M., Shin, J.. Liu, Y., Zhang, D.,. Scadden, D.T., and Chen, D. (2013). SIRT3 reverses aging-associated degeneration. Cell Rep. 3, 319- -327. hts://oi.org/10.1016/j.celrep.2013. 01 .005.

124. Mostoslavsky, R., Chua, K.F., Lombard, D.B.. Pang, W.W., Fischer, M.R., Gellon, L., Liu, P., Mostoslavsky, G., Franco, S., Murphy, M.M., et al. (2006). Genomic instability and aging-like phenotype in the absence of mammalian SIRT6. Cell 124, 315–329. https://doi.org/10.1016/j.cell. 2005.11.044.

125. Chang, A.R., Ferrer, C.M., and Mostoslavsky, R. (2020). SIRT6， a mammalian deacylase with multitasking abilities. Physiol. Rev. 100 145-169. https://doi.org/10.11 52/physrev.00030.2018.

126. Mohrin, M., Shin, J., Liu, Y., Brown, K., Luo, H., Xi, Y., Haynes, C.M., and Chen, D. (2015). Stem cell aging. A mitochondrial UPR-mediated metabolic checkpoint regulates hematopoietic stem cell aging. Science 347, 1374-1377. https://doi.org/10.1126/science.aaa2361.

127. Bonkowski, M.S., and Sinclair, D.A. (201 6). Slowing ageing by design: the rise of NAD+ and sirtuin-activating compounds. Nat. Rev. Mol. Cell Biol. 17, 679- -690. https://doi.org/10.1038/nrm.2016.93.

128. Swer, P.B.,. and Shama, R. (2021). ATP-dependent chromatin remodelers in ageing and age-related disorders. Biogerontology 22, 1-17. https://doi.org/10.1007/s10522-020-09899-3.

129. Larson, K., Yan, S.-J., Tsurumi, A., Liu, J, Zhou, J., Gaur, K., Guo, D Eickbush, T.H, and Li, W.X. (2012). Heterochromatin formation promotes longevity and represses ribosomal RNA synthesis. PLoS Genet. 8, e1002473. https://doi.org/10. 1371/journal.pgen.1002473.

130. Napoletano, F., Ferrari Bravo, G.,Voto, l.A.P., Santin, A., Celora, L, Campaner, E, Dezi, C., Bertossi, A., Valentino, E., Santorsola, M., et al. (2021). The prolyl-isomerase PIN1 is essential for nuclear Lamin-B structure and function and protects heterochromatin under mechanical stress. Cell Rep.36, 109694. https://doi.org/10. 1016/j.celrep.2021. 109694.

131. Jusic, A., Thomas, P.B., Wettinger, S.B., Dogan, s., Farrugia, R., Gaetano, C., Tuna, B.G., Pinet, F., Robinson, E.L, Tual-Chalot, S., et al. (2022). Noncoding RNAs in age-related cardiovascular diseases. Ageing Res. Rev. 77, 101610. https://doi.org/10. 1016/.arr.2022.101610.

132. Weigelt, C.M., Sehgal, R, Tain, L.S., Cheng, J., EBer, J., Pahl, A, Dieterich, C., Gronke, S., and Partridge, L. (2020). An insulin-sensitive circular RNA that regulates lifespan in Drosophila. Mol. Cell 79, 268- -279.e5. https://doi.org/10.101 6/j.molcel.2020.06.011.

133. Ponting, C.P., and Haety, W. (2022). Genome-wide analysis of human long noncoding RNAs: a provocative review. Annu. Rev. Genomics Hum. Genet. 23， 153-172. https://doi.org/10.1 146/annurev-genom-112921-123710.

134. Gorbunova, V., Seluanov, A., Mita, P., McKerrow, W., Fenyo, D., Boeke, J.D., Linker, S.B., Gage, F.H., Kreiling, J.A., Petrashen, A.P., et al. (2021). The role of retrotransposable elements in ageing and age-associated diseases. Nature 596, 43- -53. hts://doi.org/10. 1038/s41586-021-03542-y.

135. Della Valle, F., Reddy, P., Yamamoto, M., Liu, P., Saera-Vila, A., Bensaddek, D., Zhang, H., Prieto Martinez, J., Abassi, L., Celi, M., et al. (2022). LINE-1 RNA causes heterochromatin erosion and is a target for amelio- ration of senescent phenotypes in progeroid syndromes. Sci. Transl. Med.14, eabl6057. https://doi.org/10.1126/scitranslmed. abl6057.

136. De Cecco, M., lto, T., Petrashen, AP., Elias, A.E, Skvir, N.J., Criscione, S.W., Caligiana, A., Broccli, G, Adney, E.M., Boeke, J.D., et al. (2019). L1 drives IFN in senescent cells and promotes age-associated inflammation. Nature 566, 73- 78. https://doi.org/10. 1038/s41586-018-0784-9.

137. Simon, M., Yang, J., Gigas, J., Earley, E.J., Hillpot, E., Zhang, L, Zagorulya, M., Tombline, G., Gilbert, M., Yuen, S.L, et al. (2022). Arare human centenarian variant of SIRT6 enhances genome stability and interaction vith Lamin A. EMBO J. 41, e110393. hts://doi.org/10.15252/embj. 2021110393.

138. Hemando-Herraez, I, Evano, B., Stubbs, T., Commere, P.H., Jan Bonder, M., Clark, S., Andrews, S., Tajbakhsh, S., and Reik, W. (2019). Ageing affects DNA methylation drift and transcriptional cell-to-cell variability in mouse muscle stem cells. Nat. Commun. 10, 4361. https://doi. org/10.1038/s41. 467-019-12293-4.

139. Bhadra, M., Howell, P., Dutta, S, Heintz, C., and Mair, W.B. (2020). Alter- doi.org/10.1007/s00439-019-02094-6.

140. ljomone, O.M, ljomone, 0.K., lroegbu, J.D., Ifenatuoha, C.W., Olung, N.F., and Aschner, M. (2020). Epigenetic influence of environmentally neurotoxic metals. Neurotoxicology 81, 51-65. https://doi.org/10.1016/ j.neuro.2020.08.005.

141. Tabula Muris Consortium (2020). A single-cell transcriptomic atlas characterizes ageing tissues in the mouse. Nature 583, 590- 595. https://doi. org/10. 1038/s41586-020-2496-1.

142. Hipp, M.S., Kasturi, P., and Hartl, F.U. (2019). The proteostasis network and its decline in ageing. Nat. Rev. Mol. Cell Biol. 20, 421- -435. https://doi.org/10. 1038/s41580-019-0101-y.

143. Martinez-Miguel, V.E., Lujan, C., Espie-Callet, T., Martinez-Martinez, D Moore, S., Backes, C., Gonzalez, S., Galimov, E.R., Brown, A.E.X, Hali, M., et al. (2021). Increased fidelity of protein synthesis extends lifespan. Cell Metab. 33, 2288 -2300.e12. htps://doi.org/10.101 6/j.cmet.2021. 08.017.

144. Shcherbakov, D.,. Nigni, M., Akbergenov, R., Brilkova, M., Mantovani, M.. Petit, P.L, Grimm, A., Karol, AA., Teo, Y., Sanchon, A.C, et al. (2022). Premature aging in mice with error-prone protein synthesis. Sci. Adv. 8, eabl9051. https://doi.org/10.1126/sciadv.abl9051.

145. Gerashchenko, M.V., Peterf, Z., Yim, S.H, and Gladyshev, V.N. (2021). Translation elongation rate varies among organs and decreases with age. Nucleic Acids Res. 49, e9. https://doi.org/10.1093/nar/gkaa1 103.

146. Lopez-Otin, C., and Kroemer, G. (2021). Hallmarks of health. Cell 184, 33-63. https://doi.org/10.1016/.cell.2020.11 .034.

147. Hetz, C., Zhang, K., and Kaufman, R.J. (2020). Mechanisms, regulation and functions of the unfolded protein response. Nat. Rev. Mol. Cell Biol. 21, 421-438. https://doi.org/10. 1038/s41580-020-0250-z.

148. Kelmer Sacramento, E., Kirkpatrick, J.M., Mazzetto, M., Baumgart, M Bartolome, A., Di Sanzo, S., Caterino, C, Sanguanini, M., Papaevgeniou, N., Lefaki, M., et al. (2020). Reduced proteasome activity in the aging brain results in ribosome stoichiometry loss and aggregation. Syst. Biol. 16, e9596. https://doi.org/10.15252/msb.20209596.

149. Yang, L, Ma, Z., Wang, H, Niu, K., Cao, Y.. Sun, L, Geng, Y., Yang, Gao, F., Chen, Z., et al. (201 9). Ubiquitylome study identifies increased histone 2A ubiquitylation as an evolutionarily conserved aging biomarker. Nat. Commun. 10, 2191. hts://doi.org/10. 1038/s41467-019-10136-w.

150. Kaushik, S., and Cuervo, A.M. (201 8). The coming of age of chaperone-mediated autophagy. Nat. Rev. Mol. Cell Biol. 19, 365 -381. https://doi.org/10.1038/s41580-018-0001-6.

151. Rodriguez-Navarro, JA., Kaushik, S., Koga, H, Dall'Ami, C., Shui, G..Wenk, M.R., Di Paolo, G., and Cuervo, A.M. (201 2). Inhibitory effect of dietary lipids on chaperone-mediated autophagy. Proc. Natl. Acad. Sci. USA 109, E705-E7 14. htp://doi.org/10. 1073/pnas.1113036109.

152. Levine, B., and Kroemer, G. (2019). Biological functions of autophagy genes: a disease perspective. Cell 176, 11-42. https://doi.org/10.1016/ jcell.2018.09.048.

153. Klionsky, D.J, Petroni, G., Amaravadi, R.K, Baehrecke, E.H., Ballabio, A., Boya, P, Bravo-San Pedro, J.M., Cadwell, K., Cecconi, F., Choi, A.M.K., et al. (202 1). Autophagy in major human diseases. EMBO J. 40, e108863. https://doi.org/10. 15252/embj.2021108863.

154. Tsakiri, E.N, liaki, K.K., Hohn, A., Grimm, S.. Papassideri, l.S., Grune, T., and Trougakos, I.P. (2013). Diet-derived advanced glycation end products or lipofuscin disrupts proteostasis and reduces life span in Drosophila melanogaster. Free Radic. Biol. Med. 65， 1155-1 163. https://doi.org/10. 1016/j.freeradbiomed.2013.08.186.

155. Bourdenx, M., Martin-Segura, A., Scrivo, A., Rodriguez-Navarro, J.A., Kaushik, S., Tasset, I., Diaz, A., Storm, N.J, Xin, Q., Juste, Y.R., et al. (2021). Chaperone -mediated autophagy prevents collapse of the neuronal metastable proteome. Cell 184, 2696- 2714.e25. https://doi. org/10.1016.el.202 1.03.048.

156. Munkacsy, E., Chocron, E.S., Quintanilla, L, Gendron, C.M., Pletcher, S.D.， and Pickering, A.M. (2019). Neuronal-specific proteasome augmentation via Prosβ5 overexpression extends lifespan and reduces age-related cognitive decline. Aging Cell 18, e13005. https://doi.org/10. 1111/acel.13005.

157. Derisbourg, M.J, Hartman, M.D., and Denzel, M.S. (2021). Perspective: modulating the integrated stress response to slow aging and ameliorate age-related pathology. Nat Aging 1, 760-768. htp://doi.org/10.1038/ s43587-021-00112-9.

158. Marciniak, S.J, Chambers, J.E., and Ron, D. (2022). Pharmacological targeting of endoplasmic reticulum stress in disease. Nat. Rev. Drug Discov.21, 115-140. https://doi.org/10. 1038/s41573-021-00320-3.

159. Shen, Z., Hinson, A, Miller, R.A., and Garcia, G.G. (2021). Cap-independent translation: A shared mechanism for lifespan extension by rapamycin, acarbose, and 17.-estradiol. Aging Cell 20, e13345. https://doi.org/ 10.111 1/acel.13345.

160. Kuo, C.-T, You, G.-T., Jian, Y.-J, Chen, T.-S., Siao, Y.-C., Hsu, A.-L, and Ching, T.-T. (2020). AMPK-mediated formation of stress granules is required for dietary restriction-induced longevity in Caenorhabditis elegans. Aging Cell 19, e13157. https://doi.org/10.1111/acel.13157.

161. Humeau, J., Leduc, M., Cerrato, G, Loos, F., Kepp, 0., and Kroemer, G. (2020). Phosphorylation of eukaryotic initiation factor-2a. (elF2x) in autophagy. Cell Death Dis. 11, 433. https://doi.org/10.1038/s41419-0202642-6.

162. Halliday, M., Hughes, D., and Mallucci, G.R. (2017). Fine-tuning PERK signaling for neuroprotection. J. Neurochem. 142, 812 -826. htp://oi. org/10.1111/inc.14112.

163. Galluzzi, L, and Green, D.R. (2019). Autophagy-independent functions of the autophagy machinery. Cell 177, 1682-1699. https://doi.org/10.1016/j.cll.2019.05.026.

164. Nicolas- Avila, J.A, Lechuga-Vieco, A.V., Esteban-Martinez, L, Sanchez-Diaz, M., Diaz-Garcia, E., Santiago, D.J, Rubio-Ponce, A., Li, J.L, Balachander, A., Quintana, JA.,. et al. (2020). A network of macrophages supports mitochondrial homeostasis in the heart. Cell 183, 94-109.e23. https://doi.org/10.101 6/j.cl.2020.08.031.

165. Lipinski, M.M., Zheng, B., Lu, T., Yan, Z., Py, B.F., Ng, A, Xavier, R.J., Li, C., Yankner, B.A., Scherer, C.R., et al. (2010). Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer's disease. Proc. Nat. Acad. Sci. USA 107， 14164-14169. https://doi.org/10.1073/pnas. 1009485107.

166. Raz, Y., Guerrero-Ros, I, Maier, A., Slagboom, P .E., Atzmon, G., Barilai, N., and Macian, F. (2017). Activation-induced autophagy is preserved in CD4+ T-cells in familial longevity. J. Gerontol. A Biol. Sci. Med. Sci. 72, 1201-1206. https://doi.org/10. 1093/gerona/glx020.

167. Zhang, H., Alsaleh, G., Feltham, J., Sun, Y., Napolitano, G., Riffelmacher, T., Charles, P.. Frau, L, Hublitz, P., Yu, Z.. et al. (2019). Polyamines control elF5A hypusination, TFEB translation, and autophagy to reverse B cell senescence. Mol. Cell 76, 110-125.e9. https://doi.org/10.1016/j. molcel.2019.08.005.

168. AIsaleh, G., Panse, 1., Swadling, L, Zhang, H., Richter, F.C., Meyer, A., Lord, J., Barnes, E, Klenerman, P., Green, C., et al. (2020). Autophagy in T cells from aged donors is maintained by spermidine and correlates with function and vaccine responses. eLife 9, e57950. https://doi.org/ 10.7554/eLife.57950.

169. Deretic, V., and Kroemer, G. (2022). Autophagy in metabolism and quality control: opposing, complementary or interlinked functions? Autophagy 18, 283-292. https://doi.org/10.1080/15548627.2021.1933742.

170. Cassidy, L.D., Young, A.R.J., Young, C.N.J, Soilleux, E.J., Fielder, E., Weigand, B.M., Lagnado, A, Brais, R., Ktistakis, N.T, Wiggins, K.A. et al. (2020). Temporal inhibition of autophagy reveals segmental reversal of ageing with increased cancer risk. Nat. Commun.11, 307. htts://doi. org/10. 1038/s41467-019-14187-x.

171. Xu Y, Wan W. Acetylation in the regulation of autophagy. Autophagy 2022, Published online April 18, 2022:1-18. https://doi.org/10. 1080/ 15548627 .2022.2062112.

172. Pietrocola, F., Pol, J., Vaccelli, E., Rao, S, Enot, D.P., Baracco, E.E., Levesque, S, Castoldi, F., Jacquelot, N., Yamazaki, T., et al. (2016). Caloric restriction mimetics enhance anticancer immunosureillance.
Cancer Cell 30, 147-160. https://doi.org/10. 1016/.ccell.2016.05.016.

173. Liang, Y., Piao, C., Beuschel, C.B., Toppe, D., Kolliara, L, Bogdanow, B., Maglione, M., Litzkendor, J, See, J.C.K., Huang, S, et al. (2021). elF5A hypusination, boosted by dietary spermidine, protects from premature brain aging and mitochondrial dysfunction. Cell Rep. 35, 108941. https://doi.org/10.1016/j.celrep .2021.108941.

174. Puleston, D.J, Baixauli, F., Sanin, D.E, Edwards-Hicks, J, Vlla, M., Kabat, A.M., Kaminski, M.M., Stanckzak, M., Weiss, H.J., Grzes, K.M., et al. (2021). Polyamine metabolism is a central determinant of helper T cell lineage fidelity. Cell 184, 4186 -4202.e20. https://doi.org/10.1016/.cell. 2021.06.007.

175. Gobert, A.P., L atour, Y.L, Asim, M., Barry, D.P., Allaman, M.M., Finley,J.L, Smith, T.M., McNamara, K.M., Singh, K., Sierra, J.C., et al. (2022). Protectiverole ofspermidineincolitis and colon carcinogenesis. Gastroenterology 162, 813- 827.e8. htps://doi.org/10.1053/j.gastro.21.11.005.

176. Katsyuba, E, Romani, M., Hofer, D., and Auwerx, J. (2020). NAD* homeostasis in health and disease. Nat. Metab. 2, 9 -31. https://doi.org/ 10.1038/s42255-019-0161-5.

177. D'Amico, D., Andreux, P.A., Valdes, P., Singh, A., Rinsch, C., and Auwerx, J. (2021). Impact of the natural compound urolithin a on health, disease, and aging. Trends Mol. Med.27, 687 -699. https://doi.org/10.1016/ j.molmed.2021.04.009.

178. Slack, C., Alic, N., Foley, A., Cabecinha, M., Hoddinott, M.P., and Partridge, L. (2015). The Ras-Erk- ETS -signaling pathway is a drug target for longevity. Cell 162, 72- -83. htts://doi.org/10.1016/.cell.2015.06.023.

179. Singh, P.P.. Demmitt, B.A., Nath, R.D, and Brunet, A. (2019). The genetics of aging: A vertebrate perspective. Cell 177, 200- -220. https:// doi.org/0.1016/j.cll.2019.02.038.

180. Ji, J.S., Liu, L, Shu, C., Yan, L.L, and Zeng, Y. (2021). Sex difference and interaction of SIRT1 and FOXO3 candidate longevity genes on life expectancy: a 10-year prospective longitudinal cohort study. J. Gerontol. A Biol. Sci. Med. Sci. 77， glab378. https://doi.org/1 0.1093/gerona/ glab378.

181. Kabacik, S., Lowe, D., Fransen, L, Leonard, M., Ang, S.-L, Whiteman, C., Corsi, S., Cohen, H, Felton, s., Bali, R., et al. (2022). The relationship between epigenetic age and the hallmarks of aging in human cells. Nat Aging 2, 484- 493. https://doi.org/10.1038/s43587-022-00220-0.

182. Amorim, J.A, Coppotelli, G., Rolo, A.P., Palmeira, C.M., Ross, J.M., and Sinclair, D.A. (2022). Mitochondrial and metabolic dysfunction in ageing and age-related diseases. Nat. Rev. Endocrinol. 18, 243- -258. https:// doi.org/1 0.1038/s41574-021-00626-7.

183. Orthofer, M., Valsesia, A., Magi, R, Wang, Q.-P., Kaczanowska, J., Kozieradzki, I, Leopoldi, A, Cikes, D., Zopf, L.M., Tretiakov, E.O., et al. (2020). Identification of ALK in thinness. Cell 181, 1246-1262.e22.
https://doi.org/10.1016/j.cell.2020.04.034.

184. Ahmed, M., Kaur, N., Cheng, Q., Shanabrough, M., Tretiakov, E.0., Harkany, T., Horvath, T.L, and Schlessinger, J. (2022). A hypothalamic pathway for Augmentor a-controlled body weight regulation. Proc. Nat. Acad. Sci. USA 119. e22004761 19. https://doi.org/10.1073/pnas. 2200476119.

185. Partridge, L, Fuentealba, M., and Kennedy, B.K. (2020). The quest to slow ageing through drug discovery. Nat. Rev. Drug Discov. 19, 513- 532. https://doi.org/10. 1038/s41573-020-0067-7.

186. Mannick, J.B., Teo, G., Bernardo, P., Quinn, D., Russell, K., Klickstein, L, Marshall, W., and Shergill, S. (2021). Targeting the biology of ageing with mTOR inhibitors to improve immune function in older adults: phase 2b and phase 3 randomised trials. Lancet Healthy Longev. 2, e250-e262. https://doi.org/10.1016/S2666-7568(2100062-3.

187. Mannick, J.B., Morris, M., Hockey, H.-U.P., Roma, G, Beibel, M., Kulmatycki, K., Watkins, M., Shavlakadze, T., Zhou, W., Quinn, D., et al. (2018). TORC1 inhibition enhances immune function and reduces infections in the elderly. Sci. Transl. Med. 10, eaaq1564. https://doi.org/10.1126/sci translmed.aaq1564.

188. Abdellatif, M., Trummer-Herbst, V., Martin Heberle, A., Humnig, A., Pendl, T., Durand, S., Cerrato, G., Hofer, S.J,, Islam, M., Voghuber, J., et al. (2022). Fine-tuning cardiac insulin/insulin-like growth factor 1 receptor signaling to promote health and longevity. Circulation 145 1853- -1866. https://doi.org/10.1161/CIRCUL ATIONAHA.122.059863.

189. Wu, Q., Tian, A.-L, Li, B., Leduc, M., Forveille, S., Hamley, P., Galloway, W., Xie, W., Liu, P., Zhao, L, et al. (2021). IGF1 receptor inhibition amplifies the effects of cancer drugs by autophagy and immune-dependent mechanisms. J. Immunother. Cancer 9, e002722. https://doi.org/10. 1136/jitc-2021-002722.

190. Zhang, W.B., Aleksic, S., Gao, T., Weiss, E.F., Demetriou, E., Verghese, J., Holtzer, R., Barilai, N, and Milman, S. (2020). Insulin-like growth factor-1 and IGF binding proteins predict all-cause mortality and morbidity in older adults. Cells 9，E1368. htts://doi.org/10.3390/ cells9061368.

191. Zhang, W.B., Ye, K, Barzilai, N., and Milman, S. (2021). The antagonistic pleiotropy of insulin-like growth factor 1. Aging Cell 20, e13443. https:// doi.org/10.1111/acel.13443.

192. Sebastiani, P., Federico, A., Morris, M., Gurinovich, A, Tanaka, T., Chandler, K.B., Andersen, S.L, Denis, G., Costello, C.E., Ferrucci, L, et al. (2021). Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans. Aging Cell 20, e13290. https://doi.org/10.111 1/acel.13290.

193. Mattison, J.A., Colman, R.J, Beasley, T.M., Allison, D.B., Kemnitz, J.W, Roth, G.S., Ingram, D.K., Weindruch, R., de Cabo, R., and Anderson, R.M. (2017). Caloric restriction improves health and survival of rhesus monkeys. Nat. Commun.8, 14063. https://doi.org/10.1038/ncomms14063.

194. Solon-Biet, S.M., McMahon, A.C., Ballard, J.W.O., Ruohonen, K., Wu,L.E, Cogger, V.C., Warren, A, Huang, X., Pichaud, N., Melvin, R.G., et al. (2020). The ratio of macronutrients, not caloric intake, dictates cardiometabolic health, aging, and longevity in ad libitum-fed mice. Cell Metab. 31, 654. https://doi.org/10.1016/j.cmet.2020.01.010.

195. Pak, H.H., Haws, S.A., Green, C.L, Koller, M., Lavarias, M.T., Richardson, N.E., Yang, S.E, Dumas, S.N, Sonsalla, M., Bray, L, et al. (2021). Fasting drives the metabolic, molecular and geroprotective effects of a calorie-restricted diet in mice. Nat. Metab. 3, 1327-1341. https://doi. org/10. 1038/s42255-021-00466-9.

196. Mitchel, S.J, Bemier, M., Mattison, J.A, Aon, M.A., Kaiser, T.A, Anson, R.M., lkeno, Y., Anderson, R.M., Ingram, D.K., and de Cabo, R. (2019). Daily fasting improves health and survival in male mice independent of diet composition and calories. Cell Metab. 29, 221- -228.e3. https://doi. org/10.1016/j.cmet.2018.08.011.

197. Mithell, S.J, Madrigal-Matute, J, Scheibye-Knudsen, M., Fang, E. Aon, M., Gonzalez-Reyes, J.A., Cortassa, S, Kaushik, S, Gonzalez- Freire, M., Patel, B.. et al. (2016). Effects of sex, strain, and energy intake on hallmarks of aging in mice. Cell Metab.23, 1093-1112. https://doi.org/ 10.1016/.cmet.2016.05.027.

198. Mattson, M.P., Longo, V.D., and Harvie, M. (2017). Impact of intermittent fasting on health and disease processes. Ageing Res. Rev. 39, 46 -58. https://doi.org/10.101 6/.arr.2016.10.005.

199. Stekovic, S., Hofer, S.J., Tripolt, N., Aon, M.A., Royer, P., Pein, L., Stadler, J.T, Pendl, T., Prietl, B., Url, J., et al. (2019). Alternate day fasting improves physiological and molecular markers of aging in healthy, nonobese humans. Cell Metab. 30, 462- -476.e6. https://doi.org/10.1016/j. cmet.2019.07.016.

200. Ulgherait, M., Midoun, A.M., Park, S.J, Gatto, J.A, Tener, S.J., Siewert, J., Klickstein, N., Canman, J.C.,. Ja, W.W., and Shirasu-Hiza, M. (2021). Circadian autophagy drives iTRF-mediated longevity. Nature 598, 353-358. htps://doi.org/10. 1038/s41 586-021 -03934-0.

201. Anisimov, V.N., Zabezhinski, M.A, Popovich, I.G., Piskunova, T.S., Semenchenko, A.V, Tyndyk, M.L, Yurova, M.N., Rosenfeld, S.V., and Blagosklonny, M.V. (2011). Rapamycin increases lifespan and inhibits spontaneous tumorigenesis in inbred female mice. Cell Cycle 10, 4230–4236. https://doi.org/10.4161/cc.10.24.18486.

202. Salvadori, G., Zanardi, F., lannelli, F., Lobefaro, R., Vernieni, C, and Longo, V.D. (202 1). Fasting-mimicking diet blocks triple-negative breast cancer and cancer stem cell escape. Cell Metab. 33, 2247- -2259.e6. https://doi.org/10.1016/j.cmet.2021.10.008.

203. McCarthy, C.G., Chakraborty, S., Singh, G., Yeoh, B.S., Schrecken- berger, Z.J, Singh, A., Mell, B., Bearss, N.R., Yang, T., Cheng, X., et al. (2021). Ketone body β-hydroxybutyrate is an autophagy-dependent vasodilator. JCI Insight 6, e149037. https://doi.org/10.1172/jci.insight. 149037.

204. Youm, Y.H., Nguyen, K.Y, Grant, R.W., Goldberg, E.L, Bodogai, M., Kim, D., D'Agostino, D., Planavsky, N, Lupfer, C., Kanneganti, T.D., et al. (201 5). The ketone metabolite β-hydroxybutyrate blocks NLRP3 inflammasome-mediated inflammatory disease. Nat. Med. 21, 263-269. https://doi.org/10. 1038/nm 3804.

205. Rattray, N.J.W., Trivedi, D.K., Xu, Y., Chandola, T, Johnson, C.H., Marshall, A.D., Mekli, K, Rattray, z., Tampubolon, G., Vanhoutte, B., et al. (2019). Metabolic dysregulation invitamin E and carnitine shuttle energy mechanisms associate with human frailty. Nat. Commun.10, 5027. https://doi.org/10.1038/s41467-019-12716-2.

206. Lionaki, E., Gkikas, I.. Daskalaki, I., loannidi, M.-K., Klapa, M.I, and Tavernarakis, N. (2022). Mitochondrial protein import determines lifespan through metabolic reprogramming and de novo serine biosynthesis. Nat. Commun. 13, 651. https://doi.org/10.1038/s41467 -022-28272-1.

207. Owusu-Ansah, E., Song, W., and Perrimon, N. (2013). Muscle mitohormesis promotes longevity via systemic repression of insulin signaling. Cell 155, 699-712. https://doi.org/10.1016/.cell.2013.09.021.

208. Pietrocola, F., Galluzzi, L, Bravo-San Pedro, J.M., Madeo, F., and Kroemer, G. (2015). Acetyl coenzyme A: a central metabolite and second messenger. Cell Metab. 21, 805 -821. https://doi.org/10.1016/j.cmet. 2015.05.014.

209. Youle, R.J. (2019). Mitochondria-Striking a balance between host and endosymbiont. Science 365, eaaw9855. htts://doi.org/10.1126/science .aaw9855.

210. Kulkarni, A.S., Gubbi, S., and Barzilai, N. (2020). Benefits of metformin in attenuating the hallmarks of aging. Cell Metab. 32, 15 -30. hts://oi.org/ 10.1016/j.cmet.2020.04.001.

211. Zhou, B., Kreuzer, J., Kumsta, C., Wu, L, Kamer, K.J., Cedilo, L, Zhang, Y., Li, S., Kacergis, M.C, Webster, C.M., et al. (2019). Mitochondrial permeability uncouples elevated autophagy and lifespan extension. Cell 177, 299 -314.e16. https://doi.org/10.1016/.cell.2019.02.013.

212. Zinovkin, R.A., and Zamyatnin, A.A. (2019). Mitochondria-targeted drugs. Curr. Mol. Pharmacol. 12, 202- -214. https://doi.org/10.2174/1874467212 666181127151059.

213. Yen, K., Mehta, H.H., Kim, S.J., Lue, Y., Hoang, J., Guerrero, N., Port, J, Bi, Q., Navarrete, G., Brandhorst, S., et al. (2020). The mitochondrial derived peptide humanin is a regulator of lifespan and healthspan. Aging (Albany, NY) 12, 11185-1 1199. htp://doi.org/10.1 8632/aging.103534.

214. Lee, C., Wan, J., Miyazaki, B., Fang, Y., Guevara-Agirre, J, Yen, K., Longo, V., Bartke, A., and Cohen, P. (2014). IGF-| regulates the agedependent signaling peptide humanin. Aging Cell 13, 958- -961. https:// doi.org/10.1111/acel.12243.

215. Reynolds, J.C., Lai, R.W., Woodhead, J.S.T., Joly, J.H,, Mitchell, C.J, Cameron-Smith, D., Lu, R, Cohen, P., Graham, N.A, Benayoun, B.A., et al. (2021). MOTS-c is an exercise-induced mitochondrial-encoded regulator of age-dependent physical decline and muscle homeostasis. Nat. Commun.12, 470. https://doi.org/10.1038/s41467 -020-20790-0.

216. Gorgoulis, V., Adams, P.D, Alimonti, A., Benett, D.C., Bischof, O. Bishop, C, Campisi, J, Collado, M., Evangelou, K., Ferbeyre, G.. et al. (2019). Cellular senescence: defining a path forward. Cell 179, 813-
827. htp://doi.org/10. 1016/.cell.2019.10.005.

217. Tuttle, C.S.L, Waijer, M.E.C, Slee-Valentijn, M.S., Stjnen, T., Westen-dorp, R., and Maier, A.B. (2020). Cellular senescence and chronological  age in various human tissues: A systematic review and meta-analysis. Aging Cell 19, e13083. https://doi.org/10.1 111/acel.13083.

218. Xu, P.. Wang, M., Song, W.-M., Wang, Q., Yuan, G.-C., Sudmant, P.H., Zare, H., Tu, Z., Orr, M.E, and Zhang, B. (2022). The landscape of human tissue and cell type specific expression and co-regulation of senescence genes. Mol. Neurodegener. 17, 5. https://doi.org/10.1186/s13024-021- 00507-7.

219. Mehdizadeh, M., Aguilar, M., Thorin, E., Ferbeyre, G., and Nattel, S. (2022). The role of cellular senescence in cardiac disease: basic biology and clinical relevance. Nat. Rev. Cardiol. 19, 250- -264. https://doi.org/10. 1038/s41569-021-00624-2.

220. Serrano, M., and Munoz-Espin, D. (2022). Cellular Senescence in Disease (Elsevier) https://doi.org/10. 1016/C2019-0-04661-4.

221. Robbins, P.D, Jurk, D., Khosla, S, Kirkland, J.L, LeBrasseur, N.K.,Miller, J.D., Passos, J.F., Pignolo, R.J, Tchkonia, T., and Niedemhofer, L.J. (2021). Senolytic drugs: reducing senescent cell viability to extend health span. Annu. Rev. Pharmacol. Toxicol. 61, 779- -803. https://doi. org/10.1146/annurev-pharmtox-050120-105018. .

222. Wissler Gerdes, E.O., Misra, A, Netto, J.M.E, Tchkonia, T.. and Kirkland, J.L. (2021). Strategies for late phase preclinical and early clinical trials of senolytics. Mech. Ageing Dev. 200, 111591. htp://doi.org/10.1016/j. mad.2021.111591.

223. Birch, J., and Gil, J. (2020). Senescence and the SASP: many therapeutic avenues. Genes Dev.34， 1565-1576. https://doi.org/10.1101/gad. 3431. 29.120.

224. Sati, S., Bonev, B., Szabo, Q.,. Jost, D., Bensadoun, P., Serra, F., Loubiere, V., Papadopoulos, G.L, Rivera-Mulia, J.-C., Fritsch, L, et al. (2020). 4D genome rewiring during oncogene-induced and replicative senescence. Mol. Cell 78, 522- -538 .e9. https://doi.org/10. 1016/j.molcel.2020.03.007.

225. Chakradeo, S., Elmore, L.W., and Gewirtz, D.A. (2016). Is senescence reversible? Curr. Drug Targets 17, 460 -466. htp:/:/oi.org/10.2174/ 13894501 166661508251 13500.

226. Rhinn, M., Ritschka, B., and Keyes, W.M. (201 9). Cellular senescence in development, regeneration and disease. Development 146, dev151837. htts://doi.org/10. 1242/dev.151837.

27. Young, A.R.J, Cassidy, L.D., and Narita, M. (2021). Autophagy and senescence, converging roles in pathophysiology as seen through mouse models. Adv. Cancer Res. 150, 1 13-145. https://doi.org/10.
1016/bs.acr.2021.02.001.

228. Faget, D.V., Ren, Q., and Stewart, S.A (2019). Unmasking senescence:context-dependent effects of SASP in cancer. Nat. Rev. Cancer 19,439-453. htps:/oi.org/10.1038/41 568-019-0156-2.

229. Meyer, K., Lopez-Dominguez, JA., Maus, M., Kovatcheva, M., and Serrano, M. (2022). Senescence as a therapeutic target: current state and future challenges. In Cellular Senescence in Disease, M. Serrano and D. Munoz- Espin, eds. (Academic Press), pp. 425- 442. Chapter 16. https://doi.org/10.101 6/B978-0-12-822514-1.00014-6.

230. Zhu, Y., Tchkonia, T., Pirtskhalava, T., Gower, A.C., Ding, H., Giorgadze, N., Palmer, A.K., lkeno, Y, Hubbard, G.B.,. Lenburg, M., et al. (2015). The Achilles' heel of senescent cells: from transcriptome to senolytic drugs. Aging Cell 14, 644- 658. htps://oi.org/10.111/acel.12344.

231. Zhu, Y., Tchkonia, T., Fuhrmann-Stroissnigg, H., Dai, H.M., Ling, Y.Y, Stout, M.B., Pirtskhalava, T., Giorgadze, N., Johnson, K.0., Giles, C.B., et al. (2016). Identification of a novel senolytic agent, navitoclax, targeting the Bcl-2 family of anti-apoptotic factors. Aging Cell 15, 428- -435. https:// doi.org/10.111 1/acel.12445.

232. He, Y., Zhang, X., Chang, J, Kim, H.-N., Zhang, P., Wang, Y., Khan, S., Liu, X, Zhang, X, Lv, D., et al. (2020). Using proteolysis-targeting chimera technology to reduce navitoclax platelet toxicity and improveits senolytic activity. Nat. Commun. 11, 1996. https://doi.org/10.1038/ s41467-020-15838-0.

233. Triana-Martinez, F., Picallos-Rabina, P., Da Silva-Alvarez, S., Pietrocola, F., Lanos, S., Rodilla, V., Soprano, E., Pedrosa, P., Ferreiros, A., Barradas, M., et al. (2019). Identification and characterization of cardiac glyco- sides as senolytic compounds. Nat. Commun.10, 4731. htp://doi.org/ 10.1038/s4 1467-019-12888-x.

234. Johmura, Y., Yamanaka, T., Omori, S., Wang, T.W., Sugiura, Y., Matsumoto, M., Suzuki, N., Kumamoto, S., Yamaguchi, K., Hatakeyama, S， et al. (2021). Senolysis by glutaminolysis inhibition ameliorates various age- associated disorders. Science 371, 265- -270. https://doi.org/10. 11 26/science.abb5916.

235. Suda, M., Shimizu, I., Katsuumi, G., Yoshida, Y., Hayashi, Y.. lkegami, R. Matsumoto, N., Yoshida, Y., Mikawa, R., Katayama, A, et al. (2021). Senolytic vaccination improves normal and pathological age-related phenotypes and increases lifespan in progeroid mice. Nat Aging 1, 1117-1 126. https://doi.org/10. 1038/s43587-021-00151-2.

236. Amor, C., Feucht, J., Leibold, J., Ho, Y.-J., Zhu, C., Alonso-Curbelo, D., Mansilla-Soto, J., Boyer, J.A, Li, X., Giavridis, T., et al. (2020). Senolytic CAR T cells reverse senescence-associated pathologies. Nature 583, 127-132. htps://doi.org/10. 1038/s41586-020-2403-9.

237. Clevers, H., and Watt, F.M. (201 8). Defining adult stem cells by function, not by phenotype. Annu. Rev. Biochem. 87, 1015- 1027. https://doi.org/ 10.1146/annurev-biochem-062917-012341.

238. Tata, P.R., and Rajagopal, J. (2017). Plasticity in the lung: making and breaking cell identity. Development 144, 755 -766. https://doi.org/10. 1242/dev.143784.

239. Lin, B., Coleman, J.H., Peterson, J.N, Zunitch, M.J., Jang, W., Herrick, D.B., and Schwob, J.E. (2017). Injury induces endogenous reprogramming and dedifferentiation of neuronal progenitors to multipotency. Cell Stem Cell 21, 761-774.e5. hts://doi.org/10.1016/j.stem.2017.09.008.

240. Murata, K., Jadhav, U., Madha, S., van Es, J., Dean, J, Cavazza, A., Wu-cherpfennig, K., Michor, F., Clevers, H., and Shivdasani, R.A. (2020). Ascl2-dependent cell differentiation drives regeneration of ablated intestinal stem cells. Cell Stem Cell 26, 377- -390.e6. https://doi.org/10. 1016/j.stem.2019.12.011.

241. Takahashi, K., and Yamanaka, S. (2006). Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663- 676. https://doi.org/10.1016/.cel.2006.07 .024.

242. Deng, W., Jacobson, E.C., Collier, A.J, and Plath, K. (2021). The transcription factor code in iPSC reprogramming. Cur. Opin. Genet. Dev.70, 89-96. hts://doi.org/10. 1016/j.gde.2021.06.003.

243. Li, H, Collado, M., Vllasante, A., Strati, K., Ortega, S., Canamero, M.,Blasco, M.A., and Serrano, M. (2009). The Ink4/Arf locus is a barrier for iPS cell reprogramming. Nature 460, 1136-1139. htts://doi.org/10. 1038/nature08290.

244. Marion, R.M., Strati, K, Li, H., Tejera, A., Schoeftner, S., Ortega, S., Serano, M, and Blasco, M.A. (2009). Telomeres acquire embryonic stem cell characteristics in induced pluripotent stem cells. Cell Stem
Cell 4, 141-154. https://doi.org/10.1016/j.stem.2008.12.010.

245. Horvath, s. (2013). DNA methylation age of human tissues and cell types. Genome Biol. 14, R115. htp://doi.org/10.1186/gb-2013-14-10-r115.

246. Gill, D., Parry, A., Santos, F., Okkenhaug, H., Todd, C.D., Hemando-Herraez, I., Stubbs, T.M., Milagre, I., and Reik, W. (2022). Multi-omic rejuvenation of human cells by maturation phase transient reprogram-ming. eLife 11, e71624. https://doi.org/10.7554/eLife.7 1624.

247. Chondronasiou, D.. Gill, D.. Mosteiro, L, Urdinguio, R.G., Berenguer-Llergo, A, Aguilera, M., Durand, S., Aprahamian, F., Nirmalathasan, N, Abad, M., et al. (2022). Multi-omic rejuvenation of naturally aged tissues by a single cycle of transient reprogramming. Aging Cell 21, e13578. https:/doi.org/10.1 111/acel.13578.

248. Roux, A.E., Zhang, C., Paw, J., Zavala-Solorio, J., Malahias, E., Vjay, T., Kolumam, G.， Kenyon, C., and Kimmel, J.C. (2022). Diverse partial reprogramming strategies restore youthful gene expression and transiently suppress cell identity. Cell Syst. 13, 574–587.e11. S2405- 4712(22)00223-X. https://doi.org/10.1016/j.cels.2022.05.002.

249. Poganik, J.R., Zhang, B., Baht, G.S., Kerepesi, C., Yim, S.H., Lu, A.T., Haghani, A., Gong, T., Hedman, A.M., Andolf, E., et al. (2022). Biological age is increased by stress and restored uponrecoveryhttps://doi.org/10. 1101/2022.05.04.490686.

250. Mosteiro, L, Pantoja, C., Alcazar, N., Marion, R.M., Chondronasiou, D., Rovira, M., Fernandez-Marcos, P J., Munoz-Martin, M., Blanco-Aparicio, C., Pastor, J., et al. (2016). Tissue damage and senescence provide critical signals for cellular reprogramming in vivo. Science 354, aaf4445. https://doi.org/10.1126/science.aa4445.

251. Ribeiro, R., Macedo, J.C., Costa, M., Ustiyan, V., Shindyapina, A.V., Tyshkovskiy, A., Gomes, R.N., Castro, J.P., Kalin, T.V., Vasques-Novoa, F., et al. (2022). In vivo cyclic induction of the FOXM1 transcription factor delays natural and progeroid aging phenotypes and extends healthspan. Nat Aging 2, 397 -411. https://doi.org/10.1038/s43587-022-00209-9.

252. Chang-Panesso, M., Kadyrov, F.F., Lalli, M., Wu, H, lkeda, S., Kefaloyianni, E., Abdelmageed, M.M., Hertich, A., Kobayashi, A., and Hum- phreys, B.D. (2019). FOXM1 drives proximal tubule proliferation during repair from acute ischemic kidney injury. J. Clin. Invest. 129, 5501- 5517. htps://doi.org/10.1 172/JC125519.

253. Miller, H.A, Dean, E.S., Pletcher, S.D.. and Leiser, S.F. (2020). Cell non- autonomous regulation of health and longevity. eLife 9, e62659. https:// doi.org/10.7554/eLife.62659.

254. Villeda, S.A, Luo, J, Mosher, K.I., Zou, B., Britschgi, M., Bieri, G., Stan, T.M., Fainberg, N, Ding, Z., Eggel, A., et al. (2011). The ageing systemic milieu negatively regulates neurogenesis and cognitive function. Nature 477, 90-94. https://doi.org/10. 1038/nature10357.

255. Smith, L.K., He, Y., Park, J.-., Bien, G., Snethlage, C.E, Lin, K., Gontier, G., Wabl, R., Plambeck, K.E., Udeochu, J., et al. (2015). β2-microglobulin is a systemic pro-aging factor that impairs cognitive function and neurogenesis. Nat. Med.21, 932- -937. https://doi.org/10. 1038/nm.3898.

256. Valletta, S., Thomas, A, Meng, Y., Ren, x, Drissen, R., Sengul, H, Di Genua, C., and Nerlov, C. (2020). Micro-environmental sensing by bone marrow stroma identifies |L-6 and TGFβ1 as regulators of hemato-poietic ageing. Nat. Commun.11, 4075. https://doi.org/10. 1038/s41467- 020-17942-7.

257. Naito, A.T., Sumida, T., Nomura, S., Liu, M.-L, Higo, T., Nakagawa, A., Okada, K., Sakai, T., Hashimoto, A., Hara, Y., et al. (2012). Complement C1q activates canonical Wnt signaling and promotes aging-related phenotypes. Cell 149, 1298-1313. https://doi.org/10.1016/.cell.2012. 03.047.

258. Fafian-L _abora, J.A., and O'Loghlen, A. (2020). Classical and nonclassical intercellular communication in senescence and ageing. Trends Cell Biol. 30, 628 -639. hts://doi.org/10.1016/j.tcb.2020.05.003.

259. Rando, T.A, and Jones, D.L. (2021). Regeneration, rejuvenation, and replacement: turning back the clock on tissue aging. Cold Spring Harb. Perspect. Biol. 13， a040907. https://doi.org/10.1 101/cshper-spect.a040907.

260. Folgueras, A.R., Freitas-Rodriguez, S., Velasco, G., and L6pez-Otin, C. (201 8). Mouse models to disentangle the hallmarks of human aging. Circ. Res. 123, 905- -924. https://doi.org/10.1161/CIRCRESAHA.118. 312204.

261. Fedintsev, A., and Moskalev, A (2020). Stochastic non-enzymatic modification of long-lived macromolecules - A missing hallmark of aging. Ageing Res. Rev. 62, 101097. https://doi.org/10.1016/.ar. 2020.101097.

262. Selman, M., and Pardo, A (2021). Fibroageing: an ageing pathological feature driven by dysregulated extracellular matrix-cell mechanobiology. Ageing Res. Rev. 70, 101393. https://doi.org/10.101 6/j.arr .2021.101393.

263. Levi, N., Papismadov, N., Solomonov, L., Sagi, L., and Krizhanovsky, V. (2020). The ECM path of senescence in aging: components and modifiers. FEBS J. 287, 2636- -2646. https://doi.org/10.1111/febs.15282.

264. Hu, H.-H., Cao, G.,. Wu, X.-Q., Vazin, N.D., and Zhao, Y.-Y. (2020). Wnt signaling pathway in aging-related tissue fibrosis and therapies. Ageing Res. Rev. 60, 101063. https://doi.org/10.101 6/j.arr. 2020.101063.

265. Segel, M., Neumann, B., Hill, M.F.E, Weber, L.P., Viscomi, C., Zhao, C.,Young, A., Agley, C.C, Thompson, AJ, Gonzalez, G.A, et al. (2019). Niche stiffness underlies the ageing of central nervous system progenitor cells. Nature 573, 130 -1 34. https://doi.org/10.1038/s41586-019- 1484-9.

266. Vafaie, F., Yin, H., O'Neil, C., Nong, Z., Watson, A., Arpino, J.-M., Chu, M.W.A., Wayne Holdsworth, D., Gros, R., and Pickering, J.G. (2014). Collagenase-resistant collagen promotes mouse aging and vascular cell senescence. Aging Cell 13, 121-130. https://doi.org/10.1111/acel.12155.

267. Erikson, G.A., Bodian, D.L, Rueda, M., Molparia, B., Scott, E.R., Scott- Van Zeeland, A.A, Topol, S.E., Wineinger, N.E., Niederhuber, J.E., Topol, E.J., et al. (2016). Whole-genome sequencing of a healthy aging cohort. Cell 165, 1002-101 1. https://doi.org/10.1016/j.cell.2016.03.022.

268. Statzer, C., Jongsma, E., Liu, s.x., Dakhovnik, A., Wandrey, F., Mozhar- ovskyi, P., Zalli, F., and Ewald, C.Y. (2021). Youthful and age-related matreotypes predict drugs promoting longevity. Aging Cell 20, e13441. http:/:/di.og/0.111/acel.13441.

269. Schinzel, R.T., Higuchi-Sanabria, R., Shalem, 0., Moehle, E.A, Webster, B.M., Joe, L., Bar-Ziv, R, Frankino, P.A., Durieux, J., Pender, C., et al. (2019). The hyaluronidase, TMEM2，promotes ER homeostasis and longevity independent of the UPRER. Cell 179, 1306-1318.e18. https:// doi.org/10.1016/j.cell.2019.10.018.

270. King, D.E., and Xiang, J. (2020). Glucosamine/chondroitin and mortality in a US NHANES cohort. J. Am. Board Fam. Med. 33, 842- -847. https:// doi.org/10.3122/jabfm.2020.06.200110.

271. Hirata, T., Arai, Y, Yuasa, S., Abe, Y., Takayama, M., Sasaki, T., Kuni-tomi, A., Inagaki, H., Endo, M., Morinaga, J., et al. (2020). Associations of cardiovascular biomarkers and plasma albumin with exceptional survival to the highest ages. Nat. Commun. 11, 3820. https://doi.org/10. 1038/s41467-020-17636-0.

272. Mogilenko, D.A., Shpynov, 0., Andhey, P.S., Arthur, L, Swain, A., Esaulova, E., Brioschi, S., Shchukina, L., Kerndl, M., Bambouskova, M., et al. (2021). Comprehensive profiling of an aging immune system reveals clonal GZMK+ CD8+ T cells as conserved hallmark of inflammaging. Immunity 54, 99- -115.e12. https://doi.org/10.1016/.immuni.2020.11.005.

273. Carrasco, E., Gomez de Las Heras, M.M., Gabande Rodriguez, E., Desdin-Mico, G., Aranda, J.F., and Mtelbrunn, M. (2022). The role of T cells in age-related diseases. Nat. Rev. Immunol. 22, 97-111. https://doi.org/ 10.1038/s41577-021-00557-4.

274. Jaiswal, S, Natarajan, P., Silver, A.J, Gibson, C.J, Bick, A.G.. Shvartz, E., McConkey, M., Gupta, N., Gabriel, S., Ardissino, D., et al. (2017). Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease. N. Engl. J. Med. 377, 111-121. https://doi.org/10. 1056/NEJMoa1701719.

275. Svensson, E.C., Madar, A, Campbell, C.D., He, Y., Sultan, M., Healey, M.L., Xu, H., D'Aco, K., Fernandez, A., Wache-Mainier, C., et al. (2022). TET2-driven clonal hematopoiesis and response to canakinumab: ar exploratory analysis of the CANTOS randomized clinical trial. JAMA Cardiol. 7, 521-528. https://doi.org/10. 1001/jamacardio.2022.0386.

276. Mittelbrunn, M., and Kroemer, G. (2021). Hallmarks ofT cell aging. Nat. Immunol. 22, 687-698. https://doi.org/10. 1038/s41590-021-00927-z.

277. Routy, B., Gopalakrishnan, V., Daillere, R., Zitvogel, L, Wargo, JA, and Kroemer, G. (201 8). The gut microbiota influences anticancer immunosureillance and general health. Nat. Rev. Clin. Oncol. 15, 382- -396. https://doi.org/10.1038/s41571 -018-0006-2.

278. Yousefzadeh, M.J., Flores, R.R., Zhu, Y., Schmiechen, Z.C., Brooks, R.W., Trussoni, C.E., Cui, Y., Angelini, L, Lee, K.-A., McGowan, S.J, et al. (2021). An aged immune system drives senescence and ageing of solid organs. Nature 594， 100 -105. https://doi.org/1 0.1038/s41586-021 -03547-7.

279. D'Souza, s.s., Zhang, Y, Bailey, J.T., Fung, 1.T.H., Kuentzel, M.L, Chittur, S.V., and Yang, Q. (2021). Type I interferon signaling controls the accumulation and transcriptomes of monocytes in the aged lung. Aging Cell 20, e13470. https://doi.org/10.111 1/acel.13470.

280. Gonzalez-Dominguez, A, Montanez, R., Castejon-Vega, B, Nunez-Vasco, J, Lendines-Cordero, D., Wang, C., Mbalaviele, G., Navarro-Pando, J.M., Alcocer-Gomez, E, and Cordero, M.D. (2021). Inhibition
of the NL .RP3 inflammasome improves lifespan in animal murine model of Hutchinson-Gilford progeria. EMBO Mol. Med. 13, e14012. https:// doi.org/10.15252/emmm.202114012.

281. McNeil, JJ, Wolfe, R.,. Woods, R.L, Tonkin, A.M., Donnan, G.A., Nelson, M.R, Reid, C.M., Lockery, J.E., Kirpach, B., Storey, E., et al. (2018). Effect of aspirin on cardiovascular events and bleeding in the healthy elderly. N. Engl. J. Med. 379, 1509- -1518. https://doi.org/10.1056/ NEJMoa1805819.

282. Zmora, N., Soffer, E., and Elinav, E. (2019). Transforming medicine with the microbiome. Sci. Transl. Med. 11, eaaw181 5. https://doi.org/10.1 126/scitranslmed.aaw1815.

283. Gacesa, R., Kurilshikov, A., Vich Vila, A., Sinha, T., Klaassen, M.A.Y., Bolte, L.A., Andreu-Sanchez, S., Chen, L., Collj, V., Hu, S., et al. (2022). Environmental factors shaping the gut microbiome in a Dutch
population. Nature 604, 732- -739. https://doi.org/10. 1038/s41586-022- 04567-7.

284. Lee, K .A., Thomas, A.M., Bolte, L.A., Bjork, J.R., de Ruijter, L.K., Armanini, F., Asnicar, F., Blanco-Miguez, A, Board, R., Calbet-Llopart, N., et al. (2022). Cross-cohort gut microbiome associations with immune checkpoint inhibitor response in advanced melanoma. Nat. Med. 28, 535- -544. https://doi.org/10.1 038/s41591-022-01695-5.

285. McCulloch, J.A., Davar, D., Rodrigues, R.R., Badger, J.H, Fang, J.R., Cole, A.M., Balaj, A.K, Vetizou, M, Prescott, S.M., Femandes, M.R.,et al. (2022). Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1. Nat. Med.28, 545- -556. https://doi.org/10. 1038/s41591-022-01698-2.

286. Ghosh, T.S., Shanahan, F., and O'Toole, P.W. (2022). The gut micro-biome as a modulator of healthy ageing. Nat. Rev. Gastroenterol. Hepatol. 19, 565 -584. https://doi.org/10. 1038/s41575-022-00605-x.

287. Biagi, E., Franceschi, C., Rampelli, S., Severgnini, M., Ostan, R, Turroni,S, Consolandi, C., Quercia, S, Scurti, M., Monti, D., et al. (201 6). Gutmicrobiota and extreme longevity. Curr. Biol. 26, 1480-1485. https://doi. org/10.1016/j.cub.2016.04.016.

288. Wilmanski, T., Diener, C., Rappaport, N., Patwardhan, S., Wiedrick, J, Lapidus, J., Earls, J.C., Zimmer, A., Glusman, G., Robinson, M., et al. (2021). Gut microbiome pattem reflects healthy ageing and predicts survival in humans. Nat. Metab. 3, 274 -286. https://doi.org/10.1038/ s42255-021-00348-0.

289. Ghosh, T.S., Das, M., Jeffery, l.B, and O'Toole, P.W. (2020). Adjusting for age improves identification of gut microbiome alterations in multiple diseases. eLife 9, e50240. https://doi.org/10.7554/eLife. 50240.

290. Zhang, X., Zhong, H, Li, Y.. Shi, Z., Ren, H., Zhang, Z., Zhou,X., Tang, S, Han, X., Lin, Y., et al. (2021). Sex- and age-related trajectories of the adult human gut microbiota shared across populations of different ethnicities. Nat Aging 1, 87-100. https://doi.org/10. 1038/s43587-020-00014-2.

291. Sato, Y., Atarashi, K., Plichta, D.R., Arai, Y., Sasajima, S., Keamey, S.M.,Suda, W., Takeshita, K, Sasaki, T., Okamoto, S, et al. (2021). Novel bile acid biosynthetic pathways are enriched in the microbiome of centenarians. Nature 599， 458- -464. https://doi.org/10.1 038/s41586-021-03832-5.

292. Fransen, F., van Beek, A.A., Borghuis, T., Aidy, S.E., Hugenholtz, F., vander Gaast-de Jongh, C., Savelkoul, H.F.J., De Jonge, M.,. Boekschoten, M.V., Smidt, H., et al. (2017). Aged gut microbiota contributes to systemical inflammaging after transfer to Germ-free mice. Front. Immunol. 8, 1385. https://doi.org/10.3389/fimmu.201 7.01385.

293. Ragonnaud, E., and Biragyn, A. (2021). Gut microbiota as the key controllers of“healthy" aging of elderly people. Immun. Ageing 18, 2. https://doi. org/10.1186/s 12979-020-00213-W.

294. Madeo, F., Eisenberg, T., Pietrocola, F., and Kroemer, G. (2018). Spermidine in health and disease. Science 359, eaan27 88. https://doi.org/10. 11 26/science.aan2788.

295. Cani, P.D., Depommier, C., Derrien, M., Everard, A, and de Vos, W.M.(2022). Akkemansia muciniphila: paradigm for next-generation beneficial microorganisms. Nat. Rev. Gastroenterol. Hepatol. 19, 625- -637. https://doi.org/10.1 038/s41575-022-00631 -9.

296. Liu, G.Y, and Sabatini, D.M. (2020). mTOR at the nexus of nutrition, growth, ageing and disease. Nat. Rev. Mol. Cell Biol. 21, 183- -203. https://doi.org/10.1 038/s41580-019-0199-y.

297. Selvarani, R, Mohammed, S., and Richardson, A. (2021). Effect of rapamycin on aging and age-related diseases-past and future. GeroScience 43, 1135 -11 58. https://doi.org/10. 1007/s11357-020-00274-1.

298. Gladyshev, V.N., Kritchevsky, S.B., Clarke, S.G, Cuervo, A.M., Fiehn, 0., de Magalhaes, J.P., Mau, T., Maes, M., Moritz, R.L, Niedernhofer, L.J,,et al. (2021). Molecular damage in aging. Nat Aging 1, 1096-1 106. https://doi.org/10.1038/s43587-021-00150-3.

299. Xu, M., Bradley, E.W., Weivoda, M.M., Hwang, S.M., Pirtskhalava, T, Decklever, T., Curran, G.L， Ogrodnik, M., Jurk, D., Johnson, K.O., et al. (2017). Transplanted senescent cells induce an osteoarthritis-like condition in mice. J. Gerontol. A Biol. Sci. Med. Sci. 72, 780-785. https://doi.org/10.1 093/gerona/glw154.

300. Gladyshev, T.V., and Gladyshev, V.N. (2016). A disease or not a disease? Aging as a pathology. Trends Mol. Med.22, 995- -996. https://doi.org/10. 1016/j.molmed.2016.09.009.

This is excerpted from the Cell 186, January 19, 2023 by Wound World.

 

 

Hallmarks of aging: An expanding universe---2

DEREGULATED NUTRIENT-SENSING

The nutrient-sensing network is highly conserved in evolution. It includes extracellular ligands, such as insulins and IGFs, the receptor tyrosine kinases with which they interact, as well as intracellular signaling cascades. These cascades involve the PI3K-AKT and the Ras-MEK-ERK pathways, as well as transcription factors, including FOXOs and E26 factors, which transactivate genes involved in diverse cellular processes. The mechanistic target of rapamycin (MTOR) complex-1 (MTORC1) responds to nutrients, including glucose and amino acids, and to stressors such as hypoxia and low energy to modulate the activity of numerous proteins including transcription factors such as SREBP and TFEB. This network is a central regulator of cellular activity, including autophagy, mRNA and ribosome biogenesis, protein synthesis, glucose, nucleotide and lipid metabolism, mitochondrial biogenesis, and proteasomal activity. Network activity responds to nutrition and stress status by activating anabolism if nutrients are present and stress is low or by inducing cellular defense pathways in response to stress and nutrient-shortage. There is extensive intracellular crosstalk and feedback within the network, and between it and other intracellular signaling pathways. Genetically reduced activity of components of the nutrient-sensing network can increase lifespan and healthspan in diverse animal models178,179 (Table 1). Moreover, genetic association studies in humans have implicated the FOXO3 transcription factor180 and genetic variants encoding components of the network in human longevity.178 Epigenetic age is also associated with nutrient-sensing in human cells.181 In youth, activity of this signaling network thus functions to promote beneficial anabolic processes, but during adulthood, it acquires pro-aging properties (Figure 4).

      The somatotrophic axis—the first one historically implicated in the control of aging—is a growth-stimulatory cascade that, at its apex, involves growth hormone (GH) produced by the hypophysis. GH acts on the GH receptor of hepatocytes to stimulate the secretion of IGFs, in particular IGF1, which promotes growth and development via the IGF1R to stimulate trophic signals through activation of PI3K-AKT and the MTORC1 network.182 In multiple model organisms, spontaneous or engineered mutations of this pathway enhance lifespan and retard facets of age-associated deterioration (Table 1). Innate defects in the somatotrophic axis cause dwarfism, but inhibition of this axis from early adulthood has beneficial effects on organismal health (Figure 4).

      Another signaling pathway involved in nutrient-sensing relies on the receptor tyrosine kinase ALK (Figure 4), which, in mice, is induced in the hypothalamus by feeding183 and responds to the ligands augmentor a and b (Auga and Augb).184 In Drosophila, knockdown of ALK decreases triglyceride levels and the expression of several insulin-like peptides, whereas genetic or pharmacological inhibition of ALK extends healthspan and lifespan, mostly in females.183 In mice, body-wide or hypothalamus-specific deletion of ALK, as well as double knockout of Auga and Augb, promotes resistance against diet-induced obesity, and in humans, a loss-of-function mutation of ALK is associated with leanness.183,184 Hence, this pathway may offer additional targets for interventions on metabolic aging.

      Drugs targeting diseases such as cancer and metabolic disease often engage the nutrient-sensing network, thus such drugs are candidates for repurposing as geroprotectors. Rapamycin and rapalogs, which disrupt the MTORC1 complex, have proved to extend lifespan in model organisms even with treatment starting late in adulthood.185 In mice, rapamycin can increase diverse aspects of health, although it exacerbates some age-related traits such as cataract, and it is protective in models of neurodegenerative and other age-related diseases.

      Elderly humans are susceptible to viral respiratory infections. Pre-treatment with MTORC1 inhibitors increased the immune response of elderly volunteers to immunization against influenza186 and reduced viral respiratory infections in the ensuing winter,187 thus pointing to a potential strategy for reverting age-related immunosenescence.

Mechanisms

      In humans, IGF1 peaks during the second decade of life but declines with aging. Inhibition of the GH/IGF1 pathway in adult or late life extends lifespan in model organisms, including mice. 48 Inhibition of cardiac IGF1R by expression of a dominant negative p110a isoform of PI3K increases maximum lifespan of male mice and improves heart function in aged mice.188 Moreover, enzymatic inhibition of IGF1R with tyrosine kinase inhibitors improves anticancer immunosurveillance requiring autophagy induction in malignant cells.189 Long-term administration of an anti-IGF1R antibody enhances the longevity of female (but not male) mice, although reducing inflammation and tumor development. These findings suggest that the IGF1/IGF1R signaling axis may constitute a target for anti-aging interventions. In favor for this conjecture, in elderly women (R95 years), as well as in a mixed population of older adults (mean age 76 years), low IGF1 levels correlate with a low probability of cognitive impairment and death.190 Moreover, in a large cohort from the UK Biobank, significant positive correlations were noted between the hazard associated with high IGF-1 and age for dementia, diabetes, vascular disease, osteoporosis, and overall mortality.191 In centenarians, the concentrations of IGF1BP2 and IGFBP6 are elevated. 192 Future will tell whether yet-to-be-developed antibodies or small molecules that selectively inhibit IGF1R signaling without affecting other receptor tyrosine kinases (and in particular the insulin receptor) might be used for the pulsatile inhibition of the somatotropic axis to achieve health benefits with acceptable side effects. 

Effects of nutrition

      Diet is one of the most practical targets for interventions into human aging. Mechanistically, overnutrition: (1) triggers intracellular nutrient sensors, such as MTORC1 (activated by leucine and other amino acids), and the acetyltransferase EP300 (activated by acetyl coenzyme A); (2) inhibits sensors that detect nutrient scarcity, such as AMP-activated kinase (AMPK) and the deacetylases SIRT1 and SIRT3 (which respond to NAD+ ); and (3) abolishes catabolic reactions (glycogenolysis, proteolysis for gluconeogenesis, and lipolysis coupled to ketogenesis) with consequent suppression of adaptive cellular stress responses, including autophagy, antioxidant defense, and DNA repair. Conversely, fasting and dietary restriction inhibit MTORC1 and EP300; activate AMPK, SIRT1, and SIRT3; and stimulate adaptive cellular stress responses as they suppress the somatotrophic axis and extend longevity in multiple model organisms including primates.193

      Nutrient sensors constitute targets for potential longevity drugs (Figure 4), but health benefits and extended lifespan might also be achieved by dietary restrictions. Mechanistically, this is possible via reduction of overall caloric intake, manipulation of the dietary composition,194,195 or time-restricted feeding.196 Dietary restriction regimens are particularly successful in extending lifespan in male C57BL/6J mice, if the animals are completely deprived from nutrients during daytime.49 However, dietary restriction regimens do not extend lifespan in all mouse strains, supporting the contention that they must be adapted to the genetic makeup of each individual.197 In humans, clinical assays based on dietary restriction are complicated by poor compliance, yet suggest positive effects on immunity and inflammation. 50

      Intermittent fasting (e.g., 1 day without nutrients, followed by 1 day of ad libitum feeding) can avoid long-term weight loss induced by caloric restriction, yet increases lifespan in mice195 and improves biomarkers of health in clinical trials.198,199 Life time extension of a similar intermittent fasting regimen in flies has been attributed to the nighttime-specific upregulation of autophagy-stimulatory genes,200 but this has not yet been investigated in mammals. Rapamycin-induced longevity extension (which in flies partially depends on autophagy induction) can be obtained by constant-long term exposure, as well as by intermittent regimens,201 suggesting that pulsatile inhibition of this axis is sufficient to obtain the benefits of lifespan extension. The optimal interval for such intermittent treatments has not yet been determined for clinical use, although partial caloric restriction for 4–7 days every 3–4 weeks may be sufficient to improve metabolic syndrome and anticancer immunosurveillance. 202

      Another potentially beneficial regimen is ketogenic diet, which is a low-carbohydrate, high-fat, and adequate protein diet. Both fasting and ketogenic diet increase the production of ketone bodies (in particular 3-hydroxybutyrate), which are synthesized from acetyl coenzyme A in the liver in an autophagy-dependent fashion, can reach millimolar concentrations in the plasma and replace glucose as an essential fuel, for instance, for the maintenance of brain function.203 Permanent but not cyclic administration of 3-hydroxybutyrate in the drinking water increases lifespan and healthspan in mice.51 This strongly suggests that this ketone body mediates some of the beneficial effects of ketogenic diet. Mechanistically, 3-hydroxybutyrate induces vasodilatation and activates immune responses acting on GTP protein coupled receptor 109A,203 whereas it directly inhibits the NLRP3 inflammasome,204 indicating a potential pleiotropic mode of action.

MITOCHONDRIAL DYSFUNCTION

      Mitochondria are not only the powerhouses of the cell but also constitute latent triggers of inflammation (when reactive oxygen species [ROS] or mtDNA leak out of the organelle causing activation of inflammasomes or cytosolic DNA sensors, respectively) and cell death (when activators of caspases, nucleases, or other lethal enzymes are released from the intermembrane space).146 With aging, mitochondrial function deteriorates due to multiple intertwined mechanisms including the accumulation of mtDNA mutations, deficient proteostasis leading to the destabilization of respiratory chain complexes, reduced turnover of the organelle, and changes in mitochondrial dynamics. This situation compromises the contribution of mitochondria to cellular bioenergetics, enhances the production of ROS, and may trigger accidental permeabilization of mitochondrial membranes causing inflammation and cell death.182 Logically, the function of mitochondria is primordial for the maintenance of health, and its progressive deterioration contributes to the aging phenotype (Figure 4).

Mitochondrial function and longevity

      Healthspan-extending interventions can stimulate the function of mitochondria. For instance, placebo-controlled trials have revealed positive effects of L-carnitine supplementation on both pre-frail subjects and elderly men57 (Table 1). The effect is possibly mediated by counteracting age-related declining L-carnitine levels which may limit fatty acid oxidation by mitochondria. 205 Paradoxically, in model organisms, lifespan can be improved by compromising mitochondrial function, which induces a hormetic response (‘‘mitohormesis’’), provided that this inhibition is partial and occurs early during development. In C. elegans, partial inhibition of mitochondrial protein synthesis or import enhances lifespan through a mechanism involving the mitochondrial UPR (UPRmt).206 In Drosophila, muscle-specific knockdown of complex I subunit NDUFS1/ND75 extends longevity in an UPRmt-dependent fashion.207 Mild inhibition of mitochondrial ATP synthesis with TPP-thiazole can improve metabolic health in aging mice, reducing visceral fat and of senescent cells: (1) the transcriptional derepression of endogenous retroviruses, most notably LINE-1, which causes cytosolic leakage of double-stranded DNA and activates the cGAS/STING and TLR pathways;136 (2) the mitochondrial overproduction of ROS; and (3) the perturbation of the autophagy-lysosomal system leading to an expansion of lysosomal content that facilitates the histochemical detection of lysosomal senescence-associated beta-galactosidase (SABG).227

      SASP is highly heterogeneous, depending on the cell type-specific activation of innate immunity signaling pathways (cGAS/ STING, TLRs, and NLRPs), mTORC1, and transcription factors (NF-kB, CBPs, GATA4, and others). SASP usually has simultaneous and partially conflicting consequences on the microenvironment: (1) to recruit and activate immune cells through the secretion of chemokines (CCL2, CXCL2, and CXCL3) and cytokines (IL-1b, IL-2, IL-6, and IL-8); (2) to suppress the immune system through the secretion of TGF-b; (3) to trigger fibroblast activation and collagen deposition through pro-fibrotic factors (TGF-b, IL-11, and PAI1); (4) to remodel the ECM through the secretion of matrix metalloproteases; (5) to trigger the activation and proliferation of progenitor cells through the secretion of growth factors (EGF and PDGF); and (6) to trigger paracrine senescence in neighboring cells (TGF-b, TNF-a, and IL-8). In many diseases, the net effect of SASP is chronic inflammation and progressive fibrosis.228

      Although there is not a single unequivocal marker of cellular senescence, this process can be identified by the co-existence of a combination of features that, together, are specific and provide a molecular definition to the phenomenon:216 (1) lysosomal expansion, detectable by SABG; (2) upregulation of CDK inhibitors, particularly p16 and/or p21; (3) loss of LMNB1 from the nuclear envelope; (4) loss of the chromatin component HMGB1 from the nucleus and its extracellular release as an alarmin; (5) heterochromatic foci, visualized as HP1g nuclear foci or SAHFs; (6) high levels of ROS; (7) exacerbated DNA damage, visualized as gH2AX nuclear foci; and (8) high levels of SASP factors, notably IL-6, TGF-b, PAI1, and others.

      Given the association between cellular senescence and multiple pathologies, the question arises about the biological purpose of such a cellular response. Cellular senescence is a potent tumor suppressor mechanism, but mounting evidence has linked cellular senescence to tissue repair processes in which senescent cells promote localized fibrosis and the recruitment of immune cells that then remove damaged and senescent cells. In this regard, tissue repair can be considered a two-step process: cellular senescence followed by immune recruitment and immune clearance of senescence (Figure 5A). In this scenario, senescence is a temporally restricted response that programs its self-elimination with a beneficial outcome.229 The pathological consequences of senescence only become visible when the second step of immune clearance is not achieved, and the accumulation of senescent cells and the SASP effects on the tissue microenvironment eventually result in fibrosis.

Figure 5. Cellular senescence and stem cell exhaustion

(A) Cellular senescence usually promotes tissue repair after injury and protects the organism from oncogenic damage. This is achieved in two steps:

(1) establishment of senescence and (2) recruitment of immune cells that will eliminate the senescent cells, thereby promoting tissue repair. If any of these steps fails, the organism is prone to develop diseases.

Senolytics

      The strong association between cellular senescence and multiple pathologies has spurred the searchfor small chemical compounds that selectively kill senescent cells and that are referred to as ‘‘senolytics. 230’’ Of note, senolysis (elimination of senescent cells) is very different from the cancellation of the senescence response, which can result, for example, from mutation of p16 or p21. Senolysis does not prevent the execution of senescence but rather recapitulates the natural immune clearance of senescent cells (Figure 5A). In support of this, mice subjected to long-term genetic-induced or pharmacologically induced senolysis present extended longevity without increased cancer incidence or signs of defective tissue repair.59,58

      The number of senolytic therapies is still limited, but some have been extensively used in preclinical models of disease, as exemplified by navitoclax, dual treatment with dasatinib and quercetin (D/Q), fisetin, cardiac glycosides, and others.221 The survival and apoptotic resistance of senescent cells strongly depends on the BCL2 family of proteins, specially BCLXL, but also BCL2 and BCLW. This renders senescent cells highly vulnerable to navitoclax, which targets these three proteins.231 Navitoclax has been evaluated in clinical trials for antitumor activity and it is expected that this drug (or derivatives lacking toxicity on platelets) will enter clinical trials for senescence-associated diseases.232 Other potential senolytic treatments such as D/Q230 and fisetin60 are approved for human use and are being tested in various clinical trials for multiple indications. The mechanistic basis for their action remains unclear. Dasatinib is a promiscuous kinase inhibitor, and quercetin and fisetin are natural flavonoids with multiple targets. D/Q has been tested in clinical trials with promising results in the case of lung and kidney fibrosis.62,61 Cardiac glycosides inhibit the plasma membrane Na+ /K+ -ATPase present in all cells causing a cationic imbalance and lowering the intracellular pH.233 The mechanism of senolysis by cardiac glycosides is likely connected to the vulnerability of senescent cells to low intracellular pH. Thus, chemical inhibition of glutaminase deprives cells of a mechanism to counteract low pH and results in senolysis.234 All the above-discussed senolytic compounds exert therapeutic activity in a wide range of murine disease models associated with senescence. Senolysis can also be achieved by immunological approaches that target proteins appearing on the surface of senescent cells. In particular, antibodies directed against the glycoprotein NMB (GPNMB)235 and CAR T cells directed against the receptor uPAR236 attenuate senescence-associated disease models in mice.

      In summary, cellular senescence is an important response to stress and damage that, in normal physiology, is followed by immune clearance, but that upon aging or chronic damage fails to be eliminated by immune mechanisms and hence is pathogenic due to the abundant secretion of pro-inflammatory and profibrotic factors. Therapeutic strategies aimed at killing senescent cells have been extensively explored in animal models and are now in clinical trials (Table 1).

STEM CELL EXHAUSTION

      Aging is associated with reduced tissue renewal at steady state, as well as with impaired tissue repair upon injury, with each organ having its own strategy for renewal and repair.237 For example, in skeletal muscle, one single-cell type, the satellite cell, is placed at the apex of a unipotent and unidirectional hierarchy, both for renewal and repair. In skin epidermis, which is characterized by high renewal and exposure to injury, there are multiple stem cell niches, particularly in association to the hair follicles, each one generating its progeny and territory. However, upon injury, multiple cells can acquire stem cell properties and subvert territorial boundaries. Other organs like liver, lung, or pancreas exhibit rather low renewal rates under normal conditions, contrasting with the acquisition of stem cell properties including proliferation and multipotency by different cell types (Figure 5B). Indeed, tissue repair is believed to rely to a large extent on injury-induced cellular de-differentiation and plasticity. For example, in the intestine, brain, and lung, injury induces dedifferentiation of non-stem cells, which reactivates normally silent embryonic and stemness transcription programs, thus acquiring the plasticity needed for tissue repair.238–240 Injuryinduced plasticity (and its progressive loss with aging) may be more relevant for aging than the plasticity of resident stem cells under normal homeostatic conditions. Stem and progenitor cells are all subject to the same hallmarks of aging as are cells without stem potential, and for this reason, we do not discuss here the abundant literature about the impact of each hallmark of aging on stem cell function. Instead, we will focus on a general strategy to counter the decline of stem cell function with aging based on the concept of ‘‘cellular reprogramming.’’ This process is thought to act in a cell-autonomous manner on multiple cell types; however, its impact on stem and progenitor cells is considered of higher relevance because of its long-term impact.

Figure 5. Cellular senescence and stem cell exhaustion

(B) Stem cell exhaustion results from the loss of cellular plasticity required for tissue repair. Tissue repair requires a modified microenvironment through the secretion of cytokines (in part due to the senescence-associated secretory response), growth factors and modulators of the extracellular matrix (ECM) that favors the de-differentiation and plasticity of cells from different tissue compartments. These injury-induced plastic cells may acquire multipotent progenitor function. Transient expression of OSKM factors represses the transcription of cell identity programs causing global de-differentiation (OSKMon) and the acquisition of plasticity. For rejuvenation, the process must be interrupted at this point (OSKMoff) to allow cells to re-differentiate and to restore their original cell identities. 

      Rejuvenation of tissue repair by reprogramming Cellular reprogramming toward pluripotency consists in the conversion of adult somatic cells into embryonic pluripotent cells (known as induced pluripotent stem cells or iPSCs) by the concomitant action of four externally transduced transcription factors, namely, OCT4, SOX2, KLF4, and MYC (OSKM).241 The process of reprogramming usually requires several weeks during which cells first lose their differentiated phenotype by transcriptional repression of cell identity genes and subsequently transactivate pluripotency genes.242 Full reprogramming not only implies a change of cellular identity but also cellular rejuvenation, characterized by a number of aging features that are reset to the embryonic state, as indicated by p16 reduction,243 extension of telomeres,244 and resetting of the DNA methylation clock.245 Interestingly, rejuvenation occurs in a progressive fashion starting shortly after the initiation of de-differentiation.246 Indeed, it is possible to initiate reprogramming with OSKM, interrupt the process at an intermediate state, and allow cells to return to their original identity. This transient cellular perturbation, variously known as ‘‘partial,’’ ‘‘transient,’’ or ‘‘intermediate’’ reprogramming, is able to rejuvenate cellular markers of aging such as the DNA methylation clock, DNA damage, epigenetic patterns, and aging-associated changes in the transcriptome, both in vitro and in vivo. 63,64,70,246,247 Therefore, it can be proposed that the processes of de-differentiation and rejuvenation are coupled. Specifically, de-differentiation implies the erasure of epigenetic and transcriptional programs, and this may also erase aging-associated alternations. Upon interruption of partial reprogramming, cells re-stablish their original epigenetic and transcriptional status in a process of re-differentiation that, interestingly, does not re-stablish the erased aging-associated changes and therefore resets the epigenome and transcriptome to a younger state.

      Transient reprogramming in mice confers repair capacity to old tissues so that a subsequent damage is repaired as efficiently as in young individuals. This increased repair capacity has been shown for models of tissue damage in the endocrine pancreas,63 skeletal muscle,63 nerve fibers,70 eye,70 skin,64 heart,65 and liver.66 Also, tissue dysfunctions characteristic of natural aging, such as reduced visual acuity70 and the loss of adult neurogenesis in the hippocampus and long-term memory,67 can be partially reversed by transient reprogramming. There are a few instances in which transient reprogramming is beneficial also during the process of tissue repair (and not only prior to the injury). This is the case for traumatic brain injury68 and skin wound healing.69 Finally, it should be mentioned that the lifespan of progeroid mice can be extended by transient reprogramming,63 although extension of longevity by OSKM has not yet been reported for wild-type mice.

      Partial reprogramming recapitulates features of natural tissue repair (Figure 5B). In both cases, cells undergo a transient process of de-differentiation, acquisition of embryonic and progenitor features, and subsequent re-differentiation. Thus, de- and re-differentiation could explain tissue rejuvenation, in line with the observation that transient de-differentiation of myocytes, followed by their re-differentiation, induces rejuvenation of the transcriptome.248 The natural process of tissue repair may imply some degree of cellular rejuvenation, in accord with the finding that the epigenetic methylation clock accelerates soon after tissue injury and partially reverses during tissue repair.249 Moreover, tissue damage reportedly creates a tissue microenvironment that is highly permissive for IL-6-driven reprogramming. 250 Finally, cyclic expression of the transcription factor FOXM1 extends the longevity of progeroid mice and wild-type mice.251 Although the detailed mechanism is still unexplored, FOXM1 is induced in the kidney upon injury and participates in triggering de-differentiation and proliferation of tubular epithelial cells during the repair process.252 Thus, several features of natural tissue repair and artificial reprogramming may converge, perhaps allowing refinement of strategies for restoring repair capacity in aging tissues.

ALTERED INTERCELLULAR COMMUNICATION

      Aging is coupled to progressive alterations in intercellular communication that increase the noise in the system and compromise homeostatic and hormetic regulation. Thus, aging involves deficiencies in neural, neuroendocrine, and hormonal signaling pathways, including the adrenergic, dopaminergic, and insulin/IGF1-based and renin-angiotensin systems, as well as sex hormones commensurate with the loss of reproductive functions. 182,253 Although the primary causes of such alterations are cell intrinsic, as this is particularly well documented for the SASP, these derangements in intercellular communication ultimately sum up to a hallmark on its own that bridges the cell-intrinsic hallmarks to meta-cellular hallmarks including the chronification of inflammatory reactions coupled to the decline of immunosurveillance against pathogens and premalignant cells, as well as the alterations in the bidirectional communication between human genome and microbiome, which finally results in dysbiosis. A number of studies in this regard have focused on the search for blood-borne systemic factors with pro-aging or prolongevity properties, the role of diverse communication systems between cells, and the evaluation of the functional relevance of ECM disruption during aging.

Pro-aging blood-borne factors

      A single transfusion of old blood induces features of aging in young mice within a few days,72 and the simple dilution of the blood of old mice with saline buffer containing 5% albumin induces rejuvenation in multiple tissues,71 indicating the existence of circulating factors that favor the aging process. Among the pro-aging blood-borne factors, the chemokine CCL11/eotaxin and the inflammation related protein b2-microglobulin reduce neurogenesis,254,255 IL-6 and TGF-b impair hematopoiesis,256 and the complement factor C1q compromises muscle repair.257 Theoretically, the neutralization of these factors might have potent anti-aging effects. Indeed, several among the aforementioned factors are secreted in the context of SASP and may be co-responsible for the phenomenon of ‘‘contagious’’ aging, which also involves extracellular vesicles.258 Thus, socalled ‘‘senomorphics’’ might be used to repress SASP and slow down aging.

Anti-aging blood-borne factors

      Soluble factors present in the blood of young mice effectively  restore renewal and repair capacity in old mice259 (Table 1). Heterochronic parabiosis experiments followed by extensive singlecell transcriptomics have confirmed the capacity of young blood to rejuvenate multiple tissues74 and to restore age-associated reduction in general gene expression, in particular that of mitochondrial genes involved in the electron transport chain.75 The chemokine CCL3/MIP-1a acts as a rejuvenating factor for hematopoietic stem and progenitor cells;74 the metalloproteinase inhibitor TIMP2 has been implicated in rejuvenating the hippocampus;73 the anti-inflammatory interleukin IL-37 (which declines in monocytes from aged humans) improves increased endurance exercise and ameliorates whole-body metabolism in old mice;76 the cytokine GDF11 rejuvenates some tissues, such as muscle, brain, and endocrine pancreas, although it impairs the function and repair of other tissues due to its pro-fibrotic side effects;77 and finally, mice with transgene-enforced VEGF overexpression exhibit enhanced liver and muscle repair, improved general health and an extension in average longevity by ~40%.78

Long-range and short-range communication systems

      The central nervous system controls multiple facets of aging affecting peripheral organs, explaining how brain-specific gene manipulations like overexpression of SIRT1, UCP1, or knockout of IKBKB and TRPV1 can enhance mouse longevity (Table 1). The precise mechanisms of these long-range activities are yet to be determined.260 Of note, intercellular communication also involves the interaction among short-lived extracellular molecules (such as ROS, nitric oxide, nucleic acids, prostaglandins, and other lipophilic molecules), soluble factors that are released from various tissues including white adipose tissue (adipokines), brown adipose tissue (baptokines), heart (cardiokines), liver (hepatokines) and skeletal muscles (myokines, including exerkines produced in response to exercise), cell-bound ligands, and receptors on other cells (as exemplified by IL-1a that can remain cell-bound), as well as direct cell-to-cell interactions mediated by tight junctions or gap junctions. All these communication systems may be altered during aging and hence are being scrutinized for their potential pro- and anti-aging properties.258

Extracellular matrix

      Aging causes numerous damages in the long-lived protein components of the ECM, including AGEs, carbonylation and carbamylation, elastin fragmentation, and collagen crosslinking,261 thus leading to tissue fibrosis (fibroaging).262 This deleterious process is in part due to the excessive release of TGF-b and other growth factors, and the nuclear translocation of TAZ and YAP transcription factors, which act as mechanotransducers and trigger the expression of pro-fibrotic genes such as transglutaminase-2, lysyl oxidase (LOX), and LOX-like enzymes. 262 ECM stiffness also affects the function of senescent cells, which in turn secrete matrix metalloproteases that amplify the damage of the ECM,263 and proteolytically generate damage-associated molecular patterns to activate pro-senescent, pro-fibrotic, and pro-inflammatory pathways.262 The increasing stiffness of the aging matrix may also favor WNT signaling to induce fibroblast activation and expression of pro-fibrotic genes. 264 This pathway exhibits extensive crosstalk with other pro-fibrotic pathways, such as NOTCH, RAS, TGF-b/SMAD, and hedgehog/GLI, thereby demonstrating the complexity and interconnections of mechanisms underlying the development of age-linked fibrosis.262 Of note, mechanical change caused by matrix stiffness is sufficient to cause age-related loss of function of oligodendrocyte progenitor cells in a process mediated by the mechanoresponsive ion channel PIEZO1.265

      Several studies have provided causal evidence for the contribution of ECM stiffness to aging and have also suggested approaches for improving healthy aging (Table 1). In vivo inhibition of Piezo1 using AAV vectors results in rejuvenation of the oligodendrocyte progenitors in the brain of old mice.265 Genetic inactivation of YAP/TAZ in stromal cells causes accelerated aging, although sustaining YAP function rejuvenates old cells and prevents the emergence of aging features by controlling cGAS-STING signaling.79 Moreover, mice engineered to produce collagenase-resistant type I collagen (Col1a1r/r) exhibit vascular cell senescence, accelerated aging, and shortened lifespan.266 The importance of collagen for human longevity has been reinforced by the discovery of rare variants in COL25A1—encoding a brain-specific collagen—that may have a protective role against Alzheimer’s disease.267 Moreover, ECM prepared from young human fibroblasts induces a youthful state in aged senescent cells.80 ECM compounds such as chondroitin sulfate and hyaluronic acid restore the age-related decline of collagen and increase lifespan in nematodes.268 Conversely, ectopic expression of human hyaluronidase TMEM2 promotes resistance to ER stress and extends lifespan in C. elegans through changes in p38/ERK MAPK signaling.269 In mice, deletion of chondroitin 6-sulfotransferase results in an abnormal ECM in the brain, early memory loss, and accelerated brain aging, whereas overexpression of this enzyme improved memory in old mice.81 Retrospective analyses indicate that oral intake of glucosamine/chondroitin sulfate leads to a reduction in all-cause mortality in humans.270 However, there is no prospective proof thus far that such a prolongevity effect would be mediated through an amelioration of the ECM.

CHRONIC INFLAMMATION

      Inflammation increases during aging (‘‘in-flammaging’’) with systemic manifestations, as well as with pathological local phenotypes including arteriosclerosis, neuroinflammation, osteoarthritis, and intervertebral discal degeneration. Accordingly, the circulating concentrations of inflammatory cytokines and biomarkers (such as CRP) increase with aging. Elevated IL-6 levels in plasma constitute a predictive biomarker of allcause mortality in aging human populations. 271 In association with enhanced inflammation, immune function declines, a phenomenon that can be captured by high-dimensional monitoring of myeloid and lymphoid cells in the blood from patients and from mouse tissues.272 For example, a population of age-associated T cells—termed Taa cells—is composed of exhausted memory cells that mediate pro-inflammatory effects via granzyme K. Shifts in T cell populations entail the hyperfunction of pro-inflammatory TH1 and TH17 cells, defective immunosurveillance (with a negative impact on the elimination of virus-infected, malignant or senescent cells), loss of self-tolerance (with a consequent age-associated increase in autoimmune diseases), and reduced maintenance and repair of biological barriers, altogether favoring systemic inflammation273 (Figure 6A).

Figure 6. Derangement of supracellular functions

Altered intercellular communication bridges the cell-intrinsic hallmarks to meta-cellular hallmarks including the chronic inflammation, and the alterations in the crosstalk between human genome and microbiome, which finally result in dysbiosis.

(A) Chronic inflammation during aging occurs as a consequence of multiple derangements that stem from all the other hallmarks. Several representative examples of anti-inflammatory interventions with positive effects on healthspan and lifespan are shown in the right part of the figure.

(B) Dysbiosis contributes to multiple pathological conditions associated with aging. The human gut microbiota significantly changes during aging, finally leading to a general decrease in ecological diversity. The main features of the mechanisms underlying these microbiota changes and some examples of interventions on the gut microbiota composition which can promote healthy aging are shown in the lower part of the right panel. CVDs, cardiovascular diseases; SCFAs, short-chain fatty acids.

Links between inflammation and other aging hallmarks

      Inflammaging occurs as a result of multiple derangements that stem from all the other hallmarks. For example, inflammation is triggered by the translocation of nuclear and mtDNA, into the cytosol where it stimulates pro-inflammatory DNA sensors, especially when autophagy is ineffective and hence unable to intercept ectopic DNA.4 Genomic instability favors clonal hematopoiesis of indeterminate potential (CHIP), with the expansion of myeloid cells that often bear a pro-inflammatory phenotype, driving for instance cardiovascular aging.274 Intriguingly, the most frequent CHIP-associated mutations affect the epigenetic modifiers DNMT3 (which methylates cytosine residues in DNA) and TET2 (which catalyzes the oxidation of methylcytosine to 5-hydroxymethylcytosine). Mechanistically, CHIP affecting TET2 enhances IL-1b and IL-6 production by myeloid cells and stimulates cardiovascular disease (CVD), which is attenuated among individuals bearing a loss-of-function mutation in the IL-6 receptor or treated with an IL-1b neutralizing antibody. 275

      Overexpression of pro-inflammatory proteins can be secondary to epigenetic dysregulation, deficient proteostasis, or disabled autophagy. Excessive trophic signals resulting in activation of the GH/IGF1/PI3K/AKT/mTORC1 axis trigger inflammation. In addition, inflammation is favored by the SASP secondary to the accrual of senescent cells, as well as by the accumulation of extracellular debris and infectious pathogens, which are not cleared due to senescence, and by exhaustion of myeloid and lymphoid cells. This latter phenomenon involves age-associated thymic involution, abrogating thymopoiesis with the consequent rarefaction of the T cell repertoire and the inability to mount efficient immune responses against novel antigens.276 Of note, thymopoiesis is improved by CR in humans, and a CR-downregulated gene coding for platelet activation factor acetyl hydrolase A2 group VII (PLA2G7) can be knocked out in mice to combat thymic atrophy.50 Finally, inflammaging is also exacerbated by perturbations of circadian rhythms and by intestinal barrier dysfunction.277

Anti-inflammatory, anti-aging interventions

      Although systemic inflammation is mechanistically linked to all the aforementioned age-associated alterations, inflammation constitutes a hallmark on its own. Indeed, specific manipulations of the inflammatory and immune system can accelerate or decelerate the aging process across different organ systems. For example, a T cell-specific defect in the mitochondrial transcription factor A (TFAM) is sufficient to drive cardiovascular, cognitive, metabolic, and physical aging coupled to an increase in circulating cytokines. The TNF-a inhibitor etanercept partially reversed this phenotype.82 Heterozygous deletion of the DNA repair protein ERCC1 in hematopoietic cells from mice is sufficient to induce immunosenescence and aging of non-lymphoid organs, as well as numerous signs of organ damage coupled to reduced lifespan. This phenotype was alleviated by the senolytic fisetin.278 These results support the idea that aging of the immune system may drive organismal aging. Of note, adoptive transfer of TFAM-null T cells, young ERCC-deficient splenocytes, or aged wild-type splenocytes into young mice induced senescence, whereas the transfer of young immune cells into ERCC-deficient mice attenuated senescence, pointing to the capacity of immune cells to modulate organismal aging in both positive and negative terms.82,278

      There are multiple examples of broad healthspan and lifespanexpanding effects of anti-inflammatory treatments (Figure 6A; Table 1). Thus, blockade of TNF-a prevents sarcopenia in mice and improves cognition in aging rats.83,84 Blockade of the common type 1 interferon receptor (IFNAR1) reverses the accumulation of monocytes in the aging mouse lung.279 Knockout of the prostaglandin E2 receptor EP2 in myeloid cells or treatment of aged mice with pharmacological EP2 inhibitors ameliorates cognition. 85 Knockout of the inflammasome protein NLRP3 improves metabolic biomarkers, glucose tolerance, cognition, and motor performance and extends mouse longevity.86 Pharmacological inhibitors of NLRP3 or of its downstream enzyme caspase-1 have encouraging preclinical effects on normal and accelerated aging models.280 Most importantly, inhibition of the caspase-1 product IL-1b with canakinumab exemplifies an anti-aging treatment applicable to patients. The phase 3 clinical trial CANTOS evaluated the capacity of canakinumab to prevent recurrent CVD in patients with a history of myocardial infarction and signs of pronounced inflammation. Beyond meeting the primary endpoint of the trial, canakinumab reduced the incidence of diabetes and hypertension, as well as the incidence of, and mortality from, lung cancer.87 Finally, although long-term use of non-steroidal anti-inflammatory agents such as aspirin may have positive effects on human health—in particular with respect to the prevention of CVD and gastrointestinal cancers—a large phase 3 clinical trial in which aspirin was administered to over 70-year-old subjects yielded negative results.281 Hence, further studies will be necessary to explore the value of prophylactic treatments with aspirin at a younger age to combine aspirin with other medications or to replace aspirin by less toxic anti-inflammatory drugs.

DYSBIOSIS

      Over recent years, the gut microbiome has emerged as a key factor in multiple physiological processes such as nutrient digestion and absorption, protection against pathogens, and production of essential metabolites including vitamins, amino acid derivatives, secondary bile acids, and short-chain fatty acids (SCFAs). The intestinal microbiota also signals to the peripheral and central nervous systems and other distant organs and strongly impacts on the overall maintenance of host health.146 Disruption of this bacteria-host bidirectional communication results in dysbiosis and contributes to a variety of pathological conditions, such as obesity, type 2 diabetes, ulcerative colitis, neurological disorders, CVDs, and cancer.282 The progress in this field has generated an enormous interest in exploring gut mi crobiota alterations in aging (Figure 6B).

Microbiota alterations in aging

      The microbial community within the intestinal tract is highly variable among individuals as a consequence of host genetic variants (ethnicity), dietary factors, and lifestyle habits (culture), as well as environmental conditions (geography), which makes difficult to unveil the relationships between microbiota and pleiotropic age-associated disease manifestations. Nonetheless, some meta-analyses have revealed microbiota-disease associations that have been validated across distinct pathologies283 and countries.284,285 Studies in both humans and animal models have provided valuable information on clinical, epidemiological, sociological, and molecular aspects that underlie the complex effects of an aged microbiome on human health and disease.286 Once bacterial diversity is established during childhood, it remains relatively stable during adulthood. However, the architecture and activity of this bacterial community undergoes gradual changes during aging, finally leading to a general decrease in ecological diversity. Thus, several studies conducted on centenarian populations showed a reduction in core abundant taxa, such as Bacteroides and Roseburia, but also an increase in several genera such as Bifidobacterium and Akkermansia, which appear to have prolongevity effects.287

      These studies have been extended by recent analysis of the gut microbiome and phenotypic data from over 9,000 individuals of three independent cohorts spanning 18–101 years of age.288 Of note, individual gut microbiomes become increasingly more unique to each individual with age, and this uniqueness is associated with well-known microbial metabolites involved in immune regulation, inflammation, and aging. In older age, healthy participants show continued drift toward a unique microbial composition, whereas this drift is reduced or absent in individuals in worse health. The identified microbiome pattern of healthy aging is characterized by a depletion of core taxa, such as Bacteroides, present across most humans. Moreover, in individuals approaching extreme age, retention of high Bacteroides levels and a low gut microbiome uniqueness measure are significantly associated with decreased survival. However, findings in microbiota from centenarians and supercentenarians are not always concordant with those derived from elderly populations. The ELDERMET study reported an increased dominance of the core genera Bacteroides, Alistipes, and Parabacteroides in old individuals compared with younger controls. This study also identified age-related shifts in gut microbiota composition linked to frailty, cognition, depression, and inflammation.289 Another study revealed age-related trajectories of the microbiota shared across populations of different ethnicities, as well as a common age-related decrease in sex-dependent differences in gut microbiota. Of note, older adults exhibit higher abundances of several health-promoting bacterial species, including Akkermansia. 290 These results suggest that agerelated physiological changes, beyond dietary changes and lifestyle of older adults, may have profound effects on the human gut microbiota.

      The heterogeneity of findings in all these studies indicates that there may be multiple gut microbiome trajectories of aging. However, there is an interesting convergence in plasma concentrations of microbiota-produced amino acid derivatives. These metabolites include indoles derived from gut bacterial degradation of tryptophan, and several fermentation products of phenylalanine/tyrosine, such as p-cresolsulfate, phenylacetylglutamine, and p-cresol glucuronide. This finding is consistent with data from the ELDERMET cohort showing that fecal concentrations of p-cresol correlate with increased frailty and may contribute to age-associated decline in this population. Conversely, plasma concentrations of certain indole metabolites correlate with improved fitness in older adults. Indole metabolites increase healthspan and lifespan in mice, at least in part, by attenuation of inflammatory responses through binding of the arylhydrocarbon receptor.93

      Further metabolomics and functional analysis of the gut microbiome of centenarians have shown its enrichment in some particular bacteria, such as Alistipes putredinis and Odoribacter splanchnicus. Some of these bacterial species are capable of generating unique secondary bile acids, including isoallo-lithocholic, which exerts potent antimicrobial effects against grampositive multidrug-resistant pathogens such as Clostridioides difficile and Enterococcus faecium. 291 Thus, specific bile acid metabolism may be involved in reducing the risk of pathobiont infection and contribute to intestinal homeostasis, thereby decreasing the susceptibility to age-associated chronic diseases. 

Fecal microbiota transplantation and aging

      Multiomics studies in pathological aging have revealed that two different mouse models of progeria exhibit intestinal dysbiosis mainly characterized by an increase in the abundance of Proteobacteria and Cyanobacteria and a decrease in levels of Verrucomicrobia. Consistent with these findings, human progeria patients with HGPS or NGPS also show intestinal dysbiosis, whereas long-lived humans exhibit a substantial reduction in Proteobacteria and a significant increase in Verrucomicrobia.88 The causal implications of these changes were demonstrated in vivo by fecal microbiota transplantation (FMT). FMT from wild type to progeroid mice recipients enhanced healthspan and lifespan in both accelerated-aging models, whereas administration of the verrucomicrobium Akkermansia muciniphila was also sufficient to obtain such effects. Conversely, FMT from progeroid donors to wild-type recipients induced detrimental metabolic alterations. Restoration of secondary bile acids and other metabolites depleted in progeroid mice phenocopied the beneficial effects of reestablishing a healthy microbiome88 (Table 1).

      FMT also revealed the causative role of gut dysbiosis in the chronic systemic inflammation and the decline in adaptive immunity associated with aging and age-related diseases. Transfer of the gut microbiota from old mice to young germfree mice triggered inflammatory responses characterized by enhanced CD4+ T cell differentiation in spleen, upregulation of inflammatory cytokines, and increased circulation of inflammatory factors of bacterial origin.292 FMT also provided evidence for the implication or the gut microbiota in the maintenance of brain health and immunity during aging.90 Microbiota from young mice donors reversed aging-associated differences in hippocampal metabolites and brain immunity and ameliorated ageassociated impairments in cognitive behavior when transplanted into an aged host. These works open the possibility of manipulating the gut microbiota with pre-, pro-, and post-biotics to rejuvenate the immune system and the aging brain. Heterochronic fecal transfers confirmed the causal link between age-dependent changes in microbial composition and a decline in the function of the host immune system.92 Indeed, the defective germinal center reaction in Peyer’s patches of aged mice can be rescued by FMT from younger animals without affecting germinal center reactions in peripheral lymph nodes. Finally, FMT from young donor mice improves ovarian function and fertility in aged mice. These beneficial effects are associated with an improvement in the immune microenvironment of aged ovaries, with decreased macrophages and macrophage-derived multinucleated giant cells, reduced levels of pro-inflammatory IFNg, and increased abundance of the anti-inflammatory cytokine IL-4.91

To  be  continued

Hallmarks of aging: An expanding universe---1

Carlos Lo´ pez-Otı ´n,1,2,3,* Maria A. Blasco,4 Linda Partridge,5,6 Manuel Serrano,7,8,9 and Guido Kroemer10,11,12,*

1Departamento de Bioquı´mica y Biologı´a Molecular, Instituto Universitario de Oncologı´a (IUOPA), Universidad de Oviedo, Oviedo, Spain

2Instituto de Investigacio ´ n Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain

3Centro de Investigacio ´ n Biome ´ dica en Red de Ca ´ ncer (CIBERONC), Madrid, Spain

4Telomeres and Telomerase Group, Molecular Oncology Program, Spanish National Cancer Centre (CNIO), Madrid, Spain

5Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK

6Max Planck Institute for Biology of Ageing, Cologne, Germany

7Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain

8Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain

9Altos Labs, Cambridge, UK

10Centre de Recherche des Cordeliers, Equipe labellise´ e par la Ligue contre le cancer, Universite´ de Paris, Sorbonne Universite´ , INSERMU1138, Institut Universitaire de France, Paris, France

11Metabolomics and Cell Biology Platforms, Gustave Roussy, Villejuif, France

12Institut du Cancer Paris CARPEM, Department of Biology, Hoˆ pital Europe´ en Georges Pompidou, AP-HP, Paris, France *Correspondence: 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (C.L.-O.), 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。 (G.K.)

https://doi.org/10.1016/j.cell.2022.11.001

SUMMARY

Aging is driven by hallmarks fulfilling the following three premises: (1) their age-associated manifestation, (2) the acceleration of aging by experimentally accentuating them, and (3) the opportunity to decelerate, stop, or reverse aging by therapeutic interventions on them. We propose the following twelve hallmarks of aging: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, disabled macroautoph：agy, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, altered intercellular communication, chronic inflammation, and dysbiosis. These hallmarks are interconnected among each other, as well as to the recently proposed hallmarks of health, which include organizational features of spatial compartmentalization, maintenance of homeostasis, and adequate responses to stress.

Effectiveness of combination of silver gelling fibre with foam dressing in diabetic foot ulcer: a case series

Harikrishna K. R. Nair Citation: Nair HKR (2024) Effectiveness of combination of silver gelling fibre with foam dressing in diabetic foot ulcer: a case series. The Diabetic Foot Journal 27(1): X-X

Key words

- Diabetes foot ulcer infection

- Silver gelling fibre

- Foam dressing

- Case series

Article points

1. Case series to demonstrate the effectiveness of silver gelling fibres in combination with foam dressing

2. Good healing rates were found with use of this combination

3. Infection prevention combined with exudate management were key benefits to this treatment regimen.

Authors

Harikrishna K. R. Nair is Professor and Head of the Wound Care Unit, Department of Internal Medicine, Kuala Lumpur Hospital, Malaysia

This case series demonstrates the effectiveness of using silver gelling fibres in combination with a foam dressing for the treatment of diabetic foot ulcers.