伤口世界
- 星期六, 09 5月 2026
Orthostatic hypotension as a marker of increased arterial stiffness in diabetes mellitus
Merve Oruc1 · Ozant Helvacı2 · Ahmet Oruc3 · Ulver Derici2
Received: 13 February 2026 / Accepted: 12 April 2026 © The Author(s) 2026
Abstract
Background Orthostatic hypotension (OH) is associated with adverse cardiovascular outcomes and may reflect underlying autonomic and vascular dysfunction. Arterial stiffness is a key determinant of cardiovascular risk; however, its relationship with OH in patients with diabetes mellitus (DM) remains unclear.
Objective To evaluate factors associated with OH and investigate the relationship between arterial stiffness parameters and OH in patients with DM.
Methods This single-center cross-sectional study included 193 patients with DM. Orthostatic blood pressure was measured in the supine position and 3 min after standing. Arterial stiffness was assessed using oscillometric pulse wave velocity (PWV) and related parameters with the Mobil-O-Graph device. Clinical, laboratory, and medication data were analyzed. Logistic regression analyses were performed to identify factors associated with OH.
Results OH was present in 56 patients (29%). Patients with OH had significantly higher central blood pressure and arterial stiffness parameters, including PWV, augmentation pressure, and augmentation index. In multivariate analysis, female sex, older age, diabetic neuropathy, and PWV were independently associated with OH. PWV remained significantly associated with OH after adjustment for confounders. No significant differences were observed between groups regarding antihyper-tensive medication classes.
Conclusion In patients with DM, OH is independently associated with increased arterial stiffness and diabetic neuropathy. These findings suggest a link between orthostatic blood pressure dysregulation and adverse vascular characteristics. Prospec-tive studies are needed to clarify causal relationships and clinical implications.
Keywords Orthostatic hypotension · Arterial stiffness · Pulse wave velocity · Diabetes mellitus · Cardiovascular autonomic neuropathy
Communicated by Salvatore Corrao, M.D
Merve Oruc
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1 Department of Nephrology, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey
2 Department of Nephrology, Gazi University Faculty of Medicine, Ankara, Turkey
3 Department of Medical Oncology, Meram School of Medicine, Necmettin Erbakan University, Konya, Turkey
- 星期五, 08 5月 2026
Periodontitis and diabetes: a bidirectional link
Thanh T. Nguyen1,2 · Miguel Bandeira3 · Catherine Giannopoulou3 · Alkisti Zekeridou3 · Dongryeol Ryu1 · Karim Gariani4,5
Received: 10 September 2025 / Accepted: 6 January 2026 © The Author(s) 2026
Abstract
Periodontitis is a chronic inflammatory disease affecting the tooth-supporting structures, and its closely linked to diabetes mellitus through a well-established bidirectional relationship. Diabetes exacerbates periodontal destruction via systemic inflammation, oxidative stress, and immune dysfunction, while periodontitis can impair glycemic control by increasing systemic inflammatory burden. The pathogenesis of periodontitis remains only partially understood, involving microbial dysbiosis, host immune responses, and metabolic disturbances. The 2018 classification system defines stages and grades based on disease severity and progression risk. Epidemiological data reveal a high global prevalence, particularly among individuals with type 2 diabetes. Studies have shown that periodontal therapy contributes to improved glycemic control and may reduce cardiovascular risk. Despite its clinical significance, periodontitis remains underdiagnosed in the context of diabetic care. Effective management requires integrated medical and dental collaboration, targeting both glycemic regulation and periodontal health. This dual approach offers mutual benefits for reducing complications and improving long-term outcomes in diabetic patients. In this review, we present the current knowledge on the relationship between diabetes and periodontitis, focusing on epidemiology, pathogenesis, and management.
Keywords Diabetes · Periodontitis · Oral health · Oral inflammation · Cardiovascular
Communicated by Annunziata Lapolla.
Karim Gariani
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1 Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
2 Center of Endocrinology, Metabolism, Genetic/Genomics and Molecular Therapy, Vietnam National Children’s Hospital, Hanoi, Vietnam
3 Division of Regenerative Dental Medicine and Periodontology, University Clinics of Dental Medicine, University of Geneva, Geneva, Switzerland
4 Division of Endocrinology, Diabetes and Metabolism, Department of Medical Specialties, Geneva University Hospitals, Geneva 1205, Switzerland
5 Faculty Diabetes Center, University of Geneva Medical Center, University of Geneva, Geneva, Switzerland
- 星期四, 07 5月 2026
Relationship between body adiposity and glycemic control in children and adolescents with type 1 diabetes
Claudio Maffeis1 · Ilaria Fierri1 · Elisa Morotti1 · Erika Caiazza1 · Quincy Pedranzini1 · Marco Marigliano1 · Claudia Piona1
Received: 20 October 2025 / Accepted: 6 January 2026 / Published online: 31 January 2026 © The Author(s) 2026
Abstract
Aims To investigate the relationship between body adiposity and glycemic control in children and adolescents with type 1 diabetes (T1D).
Methods This cross-sectional study included 364 children and adolescents aged 6–18 years with T1D. Anthropometric indi-ces [BMI, BMI Z-score, waist-to-height ratio (WHtR)] and body composition [fat mass (FM), FM%, fat mass index (FMI)], assessed using bioelectrical impedance analysis, were obtained. Hemoglobin A1c and glucose sensor metrics, including time in range (TIR), were used to assess glycemic control. Associations between variables were analyzed using Spearman’s correlation. Logistic regression models were run to identify independent predictors of HbA1c<7.0% and TIR>70%, with FMI, WHtR, total daily insulin dose per kg (TDD), treatment modalities, sex, age, diabetes duration, and pubertal stage as independent variables.
Results Adiposity measures (FMI, FM%, and WHtR) were positively associated with HbA1c and negatively with TIR in both sexes. Logistic regression showed that HbA1c<7% and TIR>70% were significantly predicted by FMI [OR(95%CI): 0.822(0.704–0.960), p=0.013, and 0.807(0.681–0.955), p=0.012, respectively] and WHtR(x100) [OR(95%CI): 0.927(0.874– 0.983), p=0.013, and 0.923(0.866–0.985), p=0.015, respectively], independently of TDD, sex, treatment modalities and the other independent variables.
Conclusions Body adiposity negatively impacts glycemic control in children and adolescents with T1D, independent of sex and insulin treatment modalities. Despite technological advances in diabetes care, excess adiposity is emerging as a key modifiable factor associated with poorer glycemic outcomes and, consequently, poorer long-term health in children and adolescents with T1D.
Keywords Type 1 diabetes · Children · Body mass index · Adiposity · HbA1c · TIR
Abbreviations
ADA American Diabetes Association
AID Automated insulin delivery
BMI Body mass index
BP blood pressure
CGM Continuous glucose monitoring
Communicated by Annunziata Lapolla
Marco Marigliano
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1 Section of Pediatric Diabetes and Metabolism, Department of Surgery, Dentistry, Pediatrics, and Gynecology, University and Azienda Ospedaliera Universitaria Integrata of Verona, Piazzale Stefani, 1, Verona 37126, Italy
CVRFs Cardiovascular risk factors
FM Fat mass
FMI Fat mass index
GRI Glycemia risk index
HDL High-density lipoprotein cholesterol
IP Insulin Pump
ISPAD International Society for Pediatric and Adoles
cent Diabetes
LDL Low-density lipoprotein
MDI Multiple daily injection
PwD People with type 1 diabetes
TAR Time above range
TBR Time below range
TDD Total daily dose/kg of body weight
TG Triglycerides (TG)
TIR Time in range
T1D Type 1 diabetes
WC Waist circumference
WHtR Waist-to-height ratio
- 星期三, 06 5月 2026
One year after gestational diabetes: metabolic changes and predictors of postpartum dysglycaemia
Alessia Gaglio1 · Yana Pigotskaya1 · Gabriele Rossi2 · Marco Mirani3 · Federico Giacchetti5 · Valeria Grancini1 · Valeria Maggi2 · Giovanna Mantovani1,4 · Irene Cetin2,4 · Emanuela Orsi5 · Veronica Resi1
Received: 21 November 2025 / Accepted: 17 January 2026
© The Author(s) 2026
Abstract
Background Women with previous gestational diabetes mellitus (GDM) are at high risk of developing type 2 diabetes mel-litus (T2DM). Although early postpartum screening is recommended, metabolic changes occurring during the first year remain poorly characterized, and Italian guidelines do not include assessment at this time point.
Aim To evaluate glycaemic and metabolic changes one year after delivery in women with previous GDM and identify clini-cal and lifestyle predictors of postpartum glucose impairment.
Methods A cohort of 134 women with prior GDM was assessed at 6–12 weeks (T0) and one year postpartum (T1). Anthro-pometric, biochemical, nutritional, lifestyle, and quality-of-life parameters were collected. Dietary habits were evaluated using a 3-day food diary and the PREDIMED questionnaire; physical activity was assessed using the International Physical Activity Questionnaire (IPAQ). Logistic regression models were used to identify predictors of altered OGTT at T1.
Results At baseline, 32.9% of women showed altered OGTT; this increased to 38.8% at one year, while T2DM prevalence rose from 2.2 to 5.2%. Insulin therapy during pregnancy was the only independent predictor of dysglycaemia at T1 (OR 3.5, 95% CI 1.28–9.50, p=0.015). Women with altered OGTT reported lower SF-36 scores in the domains “role limitations due to physical health” (p=0.016) and “health change” (p=0.030). Breastfeeding was associated with more favourable glucose outcomes (p=0.009).
Conclusions One-year follow-up after GDM reveals early metabolic and psychosocial differences not detectable in the early postpartum period. Insulin therapy during pregnancy strongly predicts glucose impairment, highlighting the need for extended postpartum surveillance and targeted lifestyle interventions.
Keywords Gestational diabetes · Postpartum follow-up · Impaired glucose tolerance · Lifestyle · Breastfeeding
Communicated by Annunziata Lapolla.
Alessia Gaglio
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1 Endocrinology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122 Milan, Italy
2 Obstetric Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
3 Endocrinology, Diabetology and Andrology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
4 Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
5 Diabetology and Nutritional Unit, Department of Specialist Medicine, ASST Santi Paolo e Carlo, Milan, Italy
- 星期四, 30 4月 2026
Metabolic challenges in rheumatoid arthritis: a translational overview from pathogenesis to patient care
Sara Ferrigno1 · Eneida Çela1 · Mauro Fatica1,2 · Benedetta Monosi1 · Arianna D’Antonio1 · Paola Conigliaro1 · Marina Cardellini3,4 · Susanna Longo3,4 · Massimo Federici3,4 · Maria Sole Chimenti1
Received: 20 February 2026 / Accepted: 26 March 2026 © The Author(s) 2026
Abstract
Rheumatoid arthritis (RA) is an inflammatory disease characterized by a higher burden of cardiovascular and metabolic diseases than in the general population. Altered lipid and glucose metabolic pathways are widely observed, primarily due to chronic inflammation. However, metabolic dysfunction may also affect RA pathogenesis, further enhancing immune cell activation and joint damage. Glucose and lipid alterations observed in RA help define the comorbidity burden of this disease, significantly affecting disease activity and prognosis. The aim of the present review is to describe the role of metabolic dysfunctions in RA and to examine how disease activity and treatments can influence these conditions. We also summarized the main management strategies based on current literature and developed a cardiometabolic monitoring algorithm across different clinical settings to support daily patient care of these patients.
Keywords Rheumatoid arthritis · Glucose metabolism · Lipid metabolism · Atherogenesis · Inflammation · Immune-metabolism · Cardiovascular risk
Sara Ferrigno and Eneida Çela contributed equally to this manuscript
Communicated by Salvatore Corrao, M.D
Sara Ferrigno
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1 Rheumatology, Allergology and Clinical Immunology, Department of Systems Medicine, Department of “Medicina dei Sistemi”, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
2 Academic Rheumatology Unit, Department of Medicine and Health Sciences “Vincenzo Tiberio”, University of Molise, Via Giovanni Paolo II, C/da Tappino, Campobasso 86100, Italy
3 Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
4 Center for Atherosclerosis, Policlinico Tor Vergata, Viale Oxford 81, Rome 00133, Italy
- 星期三, 29 4月 2026
Associations between cardiometabolic traits and diabetic cardiomyopathy: an imaging-based analysis
Georgios Mavraganis1 · Dimitrios Bampatsias1,2 · Christina Konstantaki1 · Kamil Stankowski3,4 ·Stavros Athanasopoulos1 · Chrysoula Moustou1 · Alexandros Alexandropoulos1 · Stefano Figliozzi3,4 ·Angelos Soranides1 · Ioannis Petropoulos1 · Dimitrios Klettas5 · Kimon Stamatelopoulos1,6 ·Georgios Georgiopoulos1,7
Received: 12 December 2025 / Accepted: 15 March 2026 © The Author(s) 2026
Abstract
Introduction Diabetic cardiomyopathy (DCM) often evades diagnosis before manifestation of clinical symptoms. In this study we explored how cardiometabolic traits influence early cardiac structure and function in asymptomatic people living with diabetes (PwD), using advanced imaging.
Methods We conducted a cross-sectional study of 88 participants: 57 people living with type 2 diabetes (PwT2D), 16 people living with type 1 diabetes (PwT1D) and 15 controls. All subjects underwent transthoracic echocardiography and/or cardiac magnetic resonance (CMR) imaging. Strain analysis, perfusion indices, and tissue characterization (T1, T2, and extracellular volume) were assessed. Arterial stiffness via pulse wave velocity (PWV), ventricular-arterial coupling (VAC), circulating biomarkers and liver fibrosis indices were evaluated.
Results PwD had lower cardiac index than controls. Global longitudinal strain (GLS) and global radial strain were lower in both diabetes mellitus (DM) groups, while left atrial strain was most impaired in PwT2D (β-coefficient= − 11.77, P=0.003). DM duration≥10 years was associated with worse GLS (β-coefficient= − 2.18, P=0.033) and right VAC (β-coefficient= − 0.27, P=0.027) after multivariable analysis. While tissue characterization and perfusion indices showed no significant group differences, tight glycemic control in PwD correlated with improved myocardial strain parameters. PwT2D exhib-ited greater arterial stiffness (β-coefficient=1.52, P=0.003). In PwD, elevated non-alcoholic fatty liver disease score cor-related with increased left ventricular mass (β-coefficient=6,195, P=0.022) and decreased left ventricular ejection fraction (LVEF) (β-coefficient= − 3.12, P=0.017). Higher growth differentiation factor levels were associated with reduced LVEF (β-coefficient= − 0.005, P=0.029).
Conclusion This multimodal imaging study highlights myocardial and vascular changes in asymptomatic PwD. Early com-prehensive cardiovascular assessment may help identify dysfunction before overt heart failure develops.
Keywords Diabetic cardiomyopathy · Cardiac magnetic resonance · Echocardiography · Arterial stiffness · Ventricular-arterial coupling · Liver fibrosis
