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PubMed2026

Diabetic macular edema and GLP-1 receptor agonist use: a systematic review and meta-analysis.

BACKGROUND: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are widely used for type II diabetes and obesity because of their cardiometabolic benefits. However, concerns regarding potential ocular adverse effects, particularly diabetic macular edema (DME), have prompted the need to clarify their retinal safety. METHODS: A systematic review and meta-analysis study was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis of Observational Studies in Epidemiology statements (PROSPERO registration: CRD420251176164). MEDLINE (Ovid), EMBASE (Ovid), CENTRAL (Ovid), Web of Science, and PubMed were searched from inception to October 24, 2025. Randomized trials and observational cohort or case-control studies, including individuals with diabetes without baseline DME and exposed to GLP-1RAs were eligible. Two reviewers independently screened studies, extracted data, and assessed risk of bias using ROBINS-I. Certainty of evidence was evaluated using Grading of Recommendations, Assessment, Development, and Evaluation. Random-effects models were used to pool incidence proportions and hazard ratios (HRs). RESULTS: Thirteen retrospective cohort studies (2021-2025) using large real-world databases were included. Across 6 studies, the pooled proportion of incident DME among GLP-1RA users was 0.14 (95% CI: 0.07-0.23; I² = 99.8%). Compared with mixed antihyperglycemic therapies, GLP-1RA use was not associated with increased DME risk (pooled HR: 0.81, 95% CI: 0.52-1.26). GLP-1RAs were associated with a higher relative risk of DME compared with sodium-glucose cotransporter-2 inhibitors (HR: 1.50, 95% CI: 1.17-1.94) but not compared with dipeptidyl peptidase-4 inhibitors (HR: 0.90, 95% CI: 0.69-1.19). Evidence certainty was very low. CONCLUSION: Current low-certainty observational evidence does not support an overall increased risk of DME with GLP-1RA use. Prospective studies are needed to clarify comparative retinal safety.

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PubMed2026

Overcoming Immunological Barriers in MSC-Derived Insulin-Producing Cells through CRISPR-Based Hypoimmunogenic Engineering and Translational Perspectives for Type 1 Diabetes.

Mesenchymal stromal cell (MSC)-derived insulin-producing cells (IPCs) represent an emerging strategy for β-cell replacement in type 1 diabetes mellitus (T1DM) owing to their differentiation potential, intrinsic immunomodulatory properties, and lower tumorigenic risk compared with pluripotent stem cell-derived platforms. However, accumulating evidence indicates that differentiation-associated immunogenicity, context-dependent immune recognition, and recurrent autoimmune responses may substantially limit long-term graft survival and therapeutic durability following transplantation. This review critically examines the immunological barriers associated with MSC-derived IPCs, including altered MHC expression, susceptibility to alloimmune and autoimmune-mediated rejection, and potential reactivation of autoreactive immune memory. We discuss the application of CRISPR-based hypoimmunogenic engineering strategies targeting antigen presentation pathways, NK-cell activation, and immune checkpoint modulation to generate more immune-evasive MSC-derived IPCs while preserving β-cell functionality. By integrating insights from T1DM immunopathogenesis, MSC biology, genome editing, and translational immunology, we propose a framework linking immune engineering with controlled differentiation, functional maturation, and long-term safety evaluation. In parallel, we comparatively position MSC-derived IPCs alongside clinically advancing iPSC-derived β-cell platforms to highlight their distinct translational niche, including potential advantages related to safety, immunomodulatory capacity, manufacturing accessibility, and scalability, while acknowledging the superior functional maturity and clinical progression currently demonstrated by iPSC-derived systems. Finally, we discuss key translational challenges, including genomic stability, immune-evasion durability, GMP-compliant manufacturing, and the need for rigorous functional and immunological benchmarking prior to clinical application of hypoimmunogenic MSC-derived IPC therapies in T1DM.

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PubMed2026

Maternal Intake of Vitamins A, C, D, and E During Pregnancy and Risk of Type 1 Diabetes in the Child: The Norwegian Mother, Father, and Child Cohort Study.

BACKGROUND: Dietary vitamins play a role in antioxidant defense and immunoregulation. However, prospective studies exploring the association between vitamin intakes during pregnancy and the child's risk of type 1 diabetes are limited. OBJECTIVES: This population-based prospective cohort study aimed to investigate the association between maternal intake of vitamins A, C, D, and E during pregnancy and risk of type 1 diabetes in children. METHODS: We included 85,244 children born between 2002 and 2009 in the Norwegian Mother and Child Cohort Study, with follow-up until 31 December, 2021. Maternal intake of vitamins from food and dietary supplements from conception to the 22nd week of pregnancy was assessed with a validated food frequency questionnaire. Cox proportional hazards regression was used to estimate hazard ratios (HRs), adjusting for background factors. RESULTS: During follow-up, 529 (0.6%) children were diagnosed with type 1 diabetes at a mean age of 9.4 y (standard deviation: 4.1 y) No associations were observed between maternal pregnancy intake of vitamin A [HR: 0.993; 95% confidence interval (CI): 0.983, 1.003/100 μg], vitamin C (HR: 1.000; 95% CI: 0.993, 1.007/10 mg), vitamin D (HR: 0.991; 95% CI: 0.978, 1.003/1 μg), or vitamin E (HR: 0.999; 95% CI: 0.996, 1.004/10 mg) and risk of type 1 diabetes in the child when adjusted for potential confounders. The results were similar when intakes were assessed separately from food and dietary supplements and after restriction to children with human leukocyte antigen DQ2 and/or DQ8 risk haplotypes. CONCLUSIONS: This prospective cohort study does not support the hypothesis that higher maternal intake of vitamins A, C, D, and E during pregnancy would decrease risk of type 1 diabetes in the child. Corroborated with previous evidence, our findings support a general pattern of null associations.

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PubMed2026

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions remain underused. AI-driven mobile health (mHealth) tools can help scale diabetes prevention efforts, but the key factors driving their success are not well understood. OBJECTIVE: This post hoc secondary analysis of a randomized controlled trial (RCT) aimed to characterize the most valued features and the role of user engagement in outcomes of a fully automated mHealth intervention for diabetes prevention. METHODS: Data from 151 participants with prediabetes and overweight or obesity who were assigned to an AI-based diabetes prevention program (Sweetch) in a parent RCT (NCT05056376) were analyzed. Engagement (defined as the total number of days the app was used) was categorized into tertiles (low, medium, and high). Baseline characteristics were compared across engagement groups using ANOVA, Kruskal-Wallis, and chi-square tests, and regression models assessed the association between engagement and achievement of diabetes risk reduction outcomes (≥5% weight loss, ≥4% weight loss with ≥150 min/week of physical activity, or ≥0.2 percentage point reduction in hemoglobin A1c [HbA1c] at 12 months). Perceived usefulness of intervention features was surveyed at 12 months. RESULTS: Median engagement was 98 (IQR 34-232) days. Older age (P<.001) and lower baseline BMI (P=.04) were significantly associated with higher engagement. Compared with low engagement, high engagement was associated with greater odds of achieving the composite diabetes risk reduction outcome (odds ratio [OR] 2.59, 95% CI 1.11-6.01; P=.03), ≥5% weight loss (OR 3.31, 95% CI 1.16-9.42; P=.03), and ≥0.2 percentage point reduction in HbA1c (OR 3.57, 95% CI 1.19-10.75; P=.02). Participants most frequently rated weight tracking, physical activity tracking, and the digital body weight scale as the features that were most helpful for achieving their health goals. CONCLUSIONS: Higher engagement with an AI-driven intervention requiring no human intervention was associated with improved diabetes risk reduction. Contrary to concerns about lower digital literacy, older adults engaged with the intervention more than younger adults. Features related to weight and physical activity tracking were most valued by patients in the program. TRIAL REGISTRATION: ClinicalTrials.gov NCT05056376; https://clinicaltrials.gov/study/NCT05056376.

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PubMed2026

Efficacy and Safety of iGlarLixi Versus IDegAsp by Baseline Age, Disease Duration and HbA1c in Chinese People With Type 2 Diabetes: Post Hoc Analyses of the Soli-D Study.

AIMS: To compare the efficacy and safety of insulin glargine 100 U/mL plus lixisenatide (iGlarLixi) with insulin degludec plus insulin aspart (IDegAsp) by baseline age, Type 2 diabetes (T2D) duration and glycated haemoglobin (HbA1c) in the Soli-D study. MATERIALS AND METHODS: In Soli-D, Chinese adults with T2D suboptimally controlled on oral antidiabetic drugs (OADs) were randomized to iGlarLixi or IDegAsp for 24 weeks. These post hoc analyses evaluated glycaemic efficacy, insulin dose, body weight and hypoglycaemia outcomes in subgroups defined by baseline age (< 65, ≥ 65 years), T2D duration (< 10, ≥ 10 years) and HbA1c (≥ 7% to ≤ 8% [≥ 53 to ≤ 64 mmol/mol], > 8% to ≤ 9% [> 64 to ≤ 75 mmol/mol], > 9% [> 75 mmol/mol]). RESULTS: Among 582 participants (iGlarLixi n = 291; IDegAsp n = 291), baseline age was < 65 years in 442 and ≥ 65 years in 140; T2D duration was < 10 years in 366 and ≥ 10 years in 216; and HbA1c was ≥ 7% to ≤ 8% in 205, > 8% to ≤ 9% in 209 and > 9% in 168. At Week 24, HbA1c reductions were greater with iGlarLixi versus IDegAsp, with no treatment-by-subgroup interactions for baseline age, T2D duration or HbA1c. Change in other glycaemic outcomes, insulin dose and body weight generally showed no interaction across subgroups. Total insulin daily doses during treatment and hypoglycaemia event rates were consistently lower with iGlarLixi versus IDegAsp in all subgroups. CONCLUSIONS: iGlarLixi provides improved glycaemic control at lower insulin doses with reduced risk of hypoglycaemia in Chinese adults with suboptimally controlled T2D on OADs, regardless of baseline age, disease duration or HbA1c.

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PubMed2026

Efficacy and Hypoglycaemia Outcomes With Once-Weekly IcoSema Versus Comparators in Individuals With Type 2 Diabetes by Kidney and Liver Function: A Post Hoc Analysis of the COMBINE 1-3 Trials.

AIMS: This post hoc analysis of COMBINE 1-3 assessed efficacy and hypoglycaemia outcomes with IcoSema (once-weekly combination therapy of basal insulin icodec and semaglutide [a glucagon-like peptide-1 analogue]) versus comparators in adults with type 2 diabetes (T2D) by kidney and liver function subgroups. MATERIALS AND METHODS: Treatment outcomes were analysed by trial according to kidney (estimated glomerular filtration rate ≥ 90; 60-< 90; 30-< 60; < 30 mL/min/1.73 m2) and liver (total bilirubin ≤ 21 μmol/L or aspartate aminotransferase [AST] ≤ 31/≤ 37 [female/male] U/L; total bilirubin > 21 μmol/L or AST > 31/> 37 [female/male] U/L) function subgroups. RESULTS: In COMBINE 1-3, across kidney and liver function subgroups, there were no statistically significant treatment by subgroup interactions for change in glycated haemoglobin (HbA1c) (baseline to week 52), change in body weight (baseline to week 52) or rates of combined clinically significant or severe hypoglycaemia (not assessed by kidney function for COMBINE 2) (all p > 0.05). There were statistically significant treatment by kidney function subgroup interactions for the achievement of HbA1c < 7.0% without weight gain and without clinically significant or severe hypoglycaemia in COMBINE 3 (p < 0.05) but not COMBINE 1 or 2, and statistically significant treatment by liver function subgroup interactions in COMBINE 1 (p < 0.05) but not COMBINE 2 or 3. For COMBINE 1 and 3, there were statistically significant treatment by kidney function subgroup interactions for mean weekly total insulin dose, but not statistically significant treatment by liver function subgroup interactions. CONCLUSIONS: Efficacy and hypoglycaemia outcomes with IcoSema versus comparators were generally consistent among adults with T2D with mild to moderate kidney impairment or impaired liver function. TRIAL REGISTRATION: The COMBINE 1-3 trials were sponsored by Novo Nordisk and are registered with ClinicalTrials.gov (NCT05352815; NCT05259033; NCT05013229).

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PubMed2026

Effect of a pharmacist-led mHealth app on adherence, quality of life, and glycaemic control in diabetes: A multicentre RCT.

AIMS: To evaluate whether CareAide®, a pharmacist-driven mHealth application, improves medication adherence, health-related quality of life (HRQoL), and glycaemic control in diabetes mellitus using structural equation modelling. METHODS: Pre-specified secondary analysis of the type 2 diabetes mellitus cohort from a 6-month multicentre open-label randomised controlled trial (N = 663) across three Malaysian hospitals. Adherence was assessed by MMAS-8 (subjective) and Proportion of Days Covered (PDC; pharmacy-verified). HRQoL was measured by AQoL-6D and EQ-5D-5 L. Structural equation modelling (SEM), Necessary Condition Analysis, and Importance-Performance Map Analysis (cIPMA) were applied. RESULTS: CareAide® produced large adherence gains (MMAS-8: 7.31 vs 5.55, d = 1.64; PDC ≥ 80%: 81.6% vs 33.0%; both p < 0.001). Early 3-month adherence was the strongest predictor of sustained 6-month adherence in both models (β std = 0.567 and 0.688; p < 0.001). AQoL-6D utility improved significantly (0.669 vs 0.618; d = 0.353, p < 0.001), driven by coping (d = 0.447) and relationships (d = 0.254) domains. HRQoL did not mediate adherence; gains were a direct independent benefit. The intervention effect on HbA1c was not statistically significant in the PDC-based SEM model (β =  - 0.333, p = 0.065); a group difference was, however, supported by baseline-adjusted ANCOVA (β =  - 0.41%, p = 0.002), and the complete-case comparison was non-significant (p = 0.153), so glycaemic findings warrant cautious interpretation. cIPMA identified the intervention as the primary optimisation target. CONCLUSIONS: CareAide® significantly improves medication adherence and psychosocial quality of life. Evidence for glycaemic benefit came from baseline-adjusted analysis (ANCOVA), though findings should be interpreted with caution given incomplete HbA1c data at one site. The first three months are the most critical period for pharmacist support. In this dataset, PDC appeared more sensitive than MMAS-8 to the HbA1c signal within 6 months, but this finding requires confirmation in longer studies with more complete HbA1c data. TRIAL REGISTRATION: ClinicalTrials.gov NCT06068309.

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PubMed2026

Phentermine/Topiramate in Obese, Diabetic Uric Acid Stone Formers: An Open-Label Randomized Feasibility Trial.

PURPOSE: The purpose of this study was to determine whether medical treatment of obesity, diabetes, and low urine pH with combination phentermine/topiramate affects uric acid (UA) kidney stone burden. MATERIALS AND METHODS: Participants with obesity, diabetes mellitus, normal renal function, urine pH < 5.8, and stone analysis ≥ 80% UA were block randomized (2:1 ratio) to phentermine 18.75 mg/topiramate 100 mg vs pragmatic controls for an 18-month, prospective, open-label feasibility study with dose escalation. The primary outcome was change in CT stone volume. Secondary outcomes included medication adherence; patient safety; and change in anthropometrics, laboratory studies, and body composition. RESULTS: Nineteen participants (age 62.1 ± 9.8 years; 68% male; mean BMI = 36.3 ± 2.9 kg/m2) were randomized, and 15 completed the study with 73% pill adherence and no serious adverse events. Stone volume by intention-to-treat analysis fell by 52% in the intervention group and rose by 8.6% in the control group (P = .10), with per-protocol analysis demonstrating statistically significant stone volume reduction (P = .02). At study end and compared with means of controls, the intervention group had greater weight loss (-10.2 vs +2.9 kg), reduction in hemoglobin A1c levels (-0.2 vs +0.5), lower 24-hour urine citrate (309 ± 81 vs 951 ± 782 mg), and lower UA supersaturation (0.7 ± 1.1 vs 1.8 ± 1.0), along with higher 24-hour urine pH (6.2 ± 0.5 vs 5.5 ± 0.4) and calcium phosphate supersaturation (0.9 ± 0.8 vs 0.2 ± 0.1; all P < .05). CONCLUSIONS: Among obese participants with diabetes mellitus and UA nephrolithiasis, phentermine/topiramate was well tolerated and demonstrated significant stone burden reductions by per-protocol analysis. The intervention group also had greater weight loss, higher urinary pH, and lower hemoglobin A1c and urinary citrate levels. These data provide a framework to study the impact of this novel alternative UA therapy on a wider range of patients with obesity and diabetes.

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PubMed2026

Digital Structured Education With Behavioral Nudge Tools for Adults With Type 2 Diabetes: Multicenter Randomized Controlled Trial.

BACKGROUND: Digital interventions offer scalable alternatives to traditional face-to-face diabetes education, but often face challenges related to inconsistent clinical effectiveness, and declining user engagement. However, whether a digital structured education program integrated with behavioral nudge tools can improve metabolic, behavioral, and psychological outcomes in adults with type 2 diabetes remains unclear. OBJECTIVE: This study aimed to evaluate the effectiveness of a digital structured education program integrated with behavioral nudge tools in improving metabolic, behavioral, and psychological outcomes among adults with type 2 diabetes. METHODS: This multicenter randomized controlled trial was conducted in the endocrinology departments of 4 hospitals in China. Adults with type 2 diabetes were randomly assigned to an intervention group receiving a digital structured education program integrated with behavioral nudge tools (n=146) or a control group receiving standard digital diabetes education (n=147). Assessments were conducted at baseline and 12-week follow-up. The primary outcome was hemoglobin A1c (HbA1c) at 12 weeks, adjusted for baseline HbA1c, and study center. Secondary outcomes included fasting blood glucose (FBG), weight, BMI, waist circumference, blood pressure, lipid profiles, self-management behaviors, self-efficacy, and habit strength. RESULTS: Among 293 participants (mean age 49.19, SD 10.02 y), 287 (97.9%) completed follow-up. At 12 weeks, the intervention group demonstrated significantly greater improvements than the control group in HbA1c (adjusted mean difference -0.38%, 95% CI -0.68% to -0.09%; P=.01), FBG (adjusted mean difference -0.75, 95% CI -1.27 to -0.44 mmol/L; P<.001), weight (adjusted mean difference -0.84, 95% CI -1.61 to -0.07 kg; P=.03), BMI (adjusted mean difference -0.38, 95% CI -0.65 to -0.11 kg/m²; P=.01), systolic blood pressure (adjusted mean difference -2.71, 95% CI -4.62 to -0.79 mm Hg; P=.01), diastolic blood pressure (adjusted mean difference -2.92, 95% CI -4.47 to -1.37 mm Hg; P<.001), and total cholesterol (adjusted mean difference -0.27, 95% CI -0.48 to -0.05 mmol/L; P=.02). The intervention was also associated with significantly greater improvements in self-management behaviors, self-efficacy, and habit strength (all P<.05). CONCLUSIONS: Digital structured education integrated with behavioral nudge tools improved metabolic outcomes and strengthened psychological and behavioral determinants of self-management among adults with type 2 diabetes over a 12-week period. These findings suggest that a digital structured education program integrated with behavioral nudge tools may enhance diabetes self-management beyond standard digital diabetes education. Further studies with longer follow-up and real-world implementation are warranted to evaluate the sustainability, generalizability, and long-term clinical impact of this integrated intervention.

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PubMed2026

Genetic determinants of gestational diabetes mellitus in thai pregnant women: role of GCKR, CDKAL1, TCF7L2, NEDD1, and CMIP variants.

BACKGROUND: Gestational diabetes mellitus (GDM) has a high global prevalence and arises from complex interactions between genetic predisposition and environmental factors. GDM is associated with metabolic disturbances and chronic low-grade inflammation, both of which contribute to its pathogenesis. This study aimed to investigate the association between GDM and 135 single-nucleotide polymorphisms (SNPs) across 20 genes related to metabolic traits. METHODS: In this case-control study, 152 pregnant women with GDM and 684 pregnant women with normal glucose tolerance (NGT) who underwent antenatal examination at Siriraj Hospital, Bangkok, were enrolled. Clinical data and blood samples were collected from all participants. Genomic DNA was isolated and subjected to whole-genome sequencing using the DNBSEQ-T7RS high-throughput sequencing platform. Genotype analyses were performed using R software, and haplotype analyses were conducted using the online SNPStats software. RESULTS: After adjusting for maternal age and pre-pregnancy body mass index, polymorphisms in TCF7L2 (rs34872471, rs7901695, rs4506565, rs7903146, rs12243326, and rs12255372), NEDD1 (rs10431408, rs11830756, rs249579, rs249585, and rs4762339), CMIP (rs2306115 and rs201681534), CDKAL1 (rs4710942), GCKR (rs2293572 and rs2293571), and GCK (rs5883890) were significantly associated with the risk of GDM. Haplotype analysis demonstrated that the TCF7L2 rs12243326-rs12255372 CA haplotype was associated with a decreased risk of GDM (OR = 0.44, 95% CI: 0.23-0.81), while the NEDD1 rs249579-rs249585-rs4762339 GGT haplotype was associated with an increased risk of GDM (OR = 1.40, 95% CI: 1.08-1.82). CONCLUSIONS: These findings suggest that genetic variations in TCF7L2, NEDD1, CMIP, CDKAL1, GCK, and GCKR contribute to GDM susceptibility in the Thai population.

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PubMed2026

Effects of GLP-1 Receptor Agonists and Dual GIP/GLP-1 Receptor Agonists on Inflammatory and Metabolic Biomarkers in Type 2 Diabetes: A Systematic Review and Meta-Analysis.

BACKGROUND: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and dual GIP/GLP-1 receptor agonists improve cardiovascular outcomes in type 2 diabetes mellitus (T2DM), but their effects on inflammatory and oxidative biomarkers are not fully defined. MATERIALS AND METHODS: We searched PubMed, Ovid MEDLINE, Scopus, Web of Science and the Cochrane Library from inception to 19 February 2026 for randomised controlled trials (RCTs) in adults with T2DM comparing a GLP-1RA or dual GIP/GLP-1 agonist with placebo or active therapy, and reporting C-reactive protein (CRP or high-sensitivity CRP [hs-CRP]), interleukin-6 (IL-6), tumour necrosis factor-α (TNF-α), monocyte chemoattractant protein-1 (MCP-1), malondialdehyde (MDA) or adiponectin. Random-effects meta-analyses were conducted using standardised mean differences (SMDs). RESULTS: Forty-one RCTs were included. GLP-1RAs significantly reduced CRP/hs-CRP (27 studies, 1991 participants; SMD -0.37, 95% CI -0.59 to -0.14) and MDA (3 studies, 272 participants; SMD -0.98, 95% CI -1.65 to -0.30), and increased adiponectin (16 studies, 1327 participants; SMD 0.30, 95% CI 0.13 to 0.46). Pooled effects on IL-6 (17 studies, 1068 participants; SMD -0.14, 95% CI -0.37 to 0.10), TNF-α (16 studies, 1164 participants; SMD -0.25, 95% CI -0.61 to 0.12) and MCP-1 (7 studies, 450 participants; SMD -0.27, 95% CI -0.58 to 0.03) were not statistically significant, although MCP-1 decreased in sensitivity analyses. Across biomarkers, heterogeneity was moderate to high. Two tirzepatide RCTs (562 participants) showed a significant reduction in IL-6 (SMD -0.28, 95% CI -0.47 to -0.09) and a non-significant trend towards lower CRP/hs-CRP. CONCLUSIONS: In adults with T2DM, incretin-based therapies consistently lower CRP/hs-CRP, reduce oxidative stress (MDA) and increase adiponectin, while effects on IL-6 and TNF-α are more variable. These data support a selective anti-inflammatory and metabolic regulatory profile of GLP-1-based therapy, but heterogeneity and limited data for some biomarkers warrant cautious interpretation and further mechanistic studies. TRIAL REGISTRATION: PROSPERO number: CRD420261321430.

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PubMed2026

Beyond Glycaemia: Fear of Hypoglycaemia, Cognition and Functional Mobility After Advanced Hybrid Closed-Loop Therapy in Older Adults With Type 1 Diabetes: A Prespecified Secondary Analysis of a Randomised, Single-Centre Study.

BACKGROUND: Evidence on psychological, cognitive and functional outcomes of advanced diabetes technologies in older adults with long-standing type 1 diabetes (T1D) remains limited. We evaluated whether initiation of advanced hybrid closed-loop (AHCL) therapy was associated with changes in fear of hypoglycaemia, diabetes distress, psychological well-being, cognition, frailty-related measures and mobility-related function in adults aged ≥ 65 years with T1D. METHODS: This prespecified, exploratory secondary analysis was conducted within a single-centre, open-label, randomised, controlled, parallel-group trial including adults aged ≥ 65 years with long-standing T1D. Participants were randomly assigned (1:1) to initiate AHCL therapy using the MiniMed 780G system or to continue standard diabetes treatment. The secondary outcomes included WHO-5, the 17-item Diabetes Distress Scale (DDS), Hypoglycemia Fear Survey-II (HFS-II), Montreal Cognitive Assessment, Digit Symbol Substitution Test, Fried frailty phenotype and performance-based functional measures. No formal sample-size calculation was performed for these secondary outcomes. RESULTS: Thirty-one participants were randomised and 29 completed 12 months of follow-up and were included in the treatment-effect analyses. In the baseline-adjusted primary analysis, AHCL therapy was associated with a lower HFS-II score than standard treatment (adjusted mean difference -18.9; 95% CI: -32.4 to -5.4; nominal p = 0.008), although this finding did not remain statistically significant after Holm correction (adjusted p = 0.104) or in an exploratory model additionally adjusted for sex (difference -13.6; 95% CI: -32.2 to 5.0; p = 0.145). Diabetes distress, psychological well-being, global cognition and processing speed did not differ between groups. In sex-adjusted sensitivity analyses, the between-group differences remained statistically significant for 6-min walk distance (92.6 m; 95% CI: 36.8 to 148.3; p = 0.002) and Timed Up and Go performance (-2.27 s; 95% CI: -4.28 to -0.27; p = 0.028), but not for gait speed (0.27 m/s; 95% CI: -0.05 to 0.59; p = 0.099). At 12 months, 12 of 14 AHCL participants were robust and 2 were pre-frail; in the control group, 11 of 15 were robust and 4 were pre-frail. No participant was classified as frail at follow-up. CONCLUSIONS: In this small, selected cohort, AHCL therapy was associated with a nominally lower fear-of-hypoglycaemia score and better performance on selected mobility-related tests over 12 months. The fear-of-hypoglycaemia finding did not remain statistically significant after correction for multiple comparisons or additional adjustment for sex. Six-minute walk distance and Timed Up and Go remained statistically significant in the exploratory sex-adjusted sensitivity analyses, whereas the gait-speed difference did not. No measurable between-group deterioration in global cognition or processing speed was observed. These exploratory findings require confirmation in larger studies with balanced representation by sex and direct measurement of physical activity. These findings also support a person-centred clinical message: older age alone should not be regarded as a barrier to AHCL when treatment is introduced with individualised education and appropriate ongoing support.

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PubMed2026

Effect of walking training on blood glucose control and metabolic health in patients with type 2 diabetes: A systematic review and meta-analysis.

OBJECTIVE: To systematically evaluate the improvement effect of walking training on blood glucose control and metabolic health indicators in type 2 diabetes patients, and to explore the effect of different intervention program characteristics on the efficacy through subgroup analysis. METHOD: The system searched PubMed, Web of Science, EMBASE, Cochrane Library, and EBSCO databases, with a search period from the establishment of the database to March 15, 2026. Include a randomized controlled trial with the main intervention measures of walking behavior, with an intervention period of ≥8 weeks. Two researchers independently conducted literature screening, data extraction, and bias risk assessment. Meta-analysis was conducted using RevMan 5.4 software, with mean difference (MD) and its 95% confidence interval (CI) as effect measures for continuous variables. Select fixed effects model or random effects model for combined analysis based on heterogeneity size, and conduct subgroup analysis according to intervention program characteristics. RESULTS: Totally 5 randomized controlled trials were included, including 483 patients with type 2 diabetes (241 cases in the intervention group and 242 cases in the control group). Participants had a mean age of 54.2 ± 6.5 years, BMI of 29.1 ± 3.2 kg/m2, and 48.5% were male. The meta-analysis results showed that walking training significantly reduced glycated hemoglobin levels, with a combined effect of -0.48% (95% CI: -0.60 to -0.36, P < 0.00001), There is moderate heterogeneity among the studies (I2 = 67%). Subgroup analysis showed that the "walking + other interventions" subgroup (combined effect size -0.58%, 95% CI: -0.96 to -0.20) and the "clear step target" subgroup (combined effect size -0.52%, 95% CI: -0.65 to -0.39) had larger effect sizes and lower heterogeneity within the subgroups. The bias risk assessment shows that the overall quality of the included research methodology is good. CONCLUSION: Walking training can significantly improve the blood glucose control in patients with type 2 diabetes. Combined with diet or behavioral intervention, setting clear goals for the number of steps may achieve better results. Walking training can be used as an effective auxiliary treatment for the management of type 2 diabetes in clinical promotion. Due to limitations in the number and quality of studies included, the above conclusions still require more high-quality research to validate.

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PubMed2026

Development of a core descriptor set for studies assessing interventions for diabetes-related foot ulceration.

AIMS/HYPOTHESIS: Foot ulceration is a common complication of diabetes and is associated with high mortality and costs. The quality of evidence to inform clinical practice is limited, partly because clinical studies do not consistently report baseline participant characteristics. This study aimed to develop a core descriptor set (CDS), a minimum set of descriptors to be measured in all studies evaluating interventions for people with diabetes-related foot ulceration. METHODS: A longlist of descriptors was generated through a systematic review of studies assessing interventions for diabetes-related foot ulcers, pre-registered with PROSPERO (CRD42019128250). The identified descriptors were then ranked based on perceived importance by healthcare professionals from different fields and geographical locations using a nine-point Likert scale in the first round of a Delphi survey. Using standardised criteria, descriptors without consensus were re-ranked in round two. Critical descriptors and those without consensus after the Delphi process were discussed in the consensus meeting to finalise the CDS. RESULTS: The systematic review yielded 95 candidate descriptors. The two Delphi rounds were completed by 102 and 69 healthcare professionals, respectively. The Delphi process identified 34 critically important descriptors and 13 descriptors without consensus, which were discussed in the consensus meeting. The ratified CDS included 28 descriptors across nine domains: demographic variables; individual factors; ulcer characteristics; limb characteristics; ongoing medical interventions; previous surgical interventions; medication history; biochemical measurements; and quality of life/function/symptoms. CONCLUSIONS/INTERPRETATION: This CDS reflects characteristics important to health professionals and researchers when reporting clinical studies on diabetes-related foot ulceration. Its use will aid the reporting of future studies.

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PubMed2026

Construction of precision clinical-proteomics risk model based on machine learning for predicting heart failure in type II diabetes mellitus.

BACKGROUND AND AIMS: Heart failure (HF) is a severe complication in type 2 diabetes mellitus (T2DM), but current risk stratification scores have limited predictive accuracy. We aimed to develop novel prediction tools integrating clinical variables with proteomics to improve risk stratification of hospitalization for HF in T2DM. METHODS AND RESULTS: In this study, we included 2111 UK Biobank participants with T2DM but no prior HF, and profiled 2920 proteins to predict 10-year incident HF hospitalization. Participants were randomly divided into training (70%), tuning (10%), and validation (20%) sets.Three prediction models were developed: a Clinical model based on demographic characteristics, comorbidities, medication use, and laboratory indices; a Protein model based on 40 proteins selected by the Light Gradient Boosting Machine (LGBM); and the Clinical OMics and Protein ASSessment for Heart Failure (COMPASS-HF) model, which integrated both clinical variables and the LGBM-selected proteins. Models were evaluated for area under the curve (AUC), sensitivity, and specificity. During follow-up, 168 participants (7.96%) developed incident HF. The COMPASS-HF model showed better discrimination than the Clinical model, with an AUC of 0.897 (95% CI: 0.850-0.945) versus 0.790 (95% CI: 0.723-0.856). It also demonstrated higher sensitivity (0.882; 95% CI: 0.725-0.967) and consistent performance in subgroups. COMPASS-HF effectively stratified risk of hospitalization for HF, with cumulative incidence rates of 31.9% in the high-risk group and 1.2% in the low-risk group. CONCLUSIONS: By combining clinical and proteomic variables, we developed a high-performance HF prediction model for T2DM, enabling precise risk stratification and informing early intervention strategies.

Humans↗

PubMed2026

Efficacy and Safety of Once-Weekly Semaglutide 2.0 mg as an Add-On to Dose-Reduced Insulin Glargine versus Dose-Titrated Insulin Glargine in People With Type 2 Diabetes and Overweight (SUSTAIN OPTIMIZE).

AIMS: Type 2 diabetes (T2D) management with basal insulin can lead to hypoglycaemia and weight gain. SUSTAIN OPTIMIZE compared once-weekly semaglutide 2.0 mg as add-on to dose-reduced insulin glargine (Sema+IGlarreduced) versus dose-titrated IGlar (IGlartitrated) on glycated haemoglobin (HbA1c), body weight (BW), daily insulin dose, and participant satisfaction. MATERIALS AND METHODS: SUSTAIN OPTIMIZE was a 40-week, phase 3b, open-label, randomised study. Adults with T2D, overweight (body mass index ≥ 25 kg/m2), and treatment with basal insulin ≤ 40 units/day were randomised 1:1 into Sema+IGlarreduced or IGlartitrated. The primary endpoint was change in HbA1c using a non-inferiority approach. Secondary endpoints assessed superiority of Sema+IGlarreduced versus IGlartitrated in reducing HbA1c, BW, daily insulin dose, and improving Diabetes Treatment Satisfaction Questionnaire change version (DTSQc) scores. RESULTS: Overall, 573 participants were randomised. Sema+IGlarreduced achieved both non-inferiority and superiority versus IGlartitrated in HbA1c reduction (estimated treatment difference [ETD]: -0.74%; 95% confidence interval [CI95]: -0.90, -0.59) and superiority in BW change (ETD: -8.5 kg; CI95: -9.5, -7.4), relative daily insulin dose change (ETD: -121.9%; CI95: -143.1, -100.6), and DTSQc scores (ETD: 2.6; CI95: 1.6, 3.5) (p < 0.0001 for all endpoints). No new safety concerns were identified. Severe hypoglycaemia was reduced (rate ratio: 0.45; CI95: 0.23, 0.87; p = 0.02), while gastrointestinal events were higher for Sema+IGlarreduced (310 vs. 32 events). CONCLUSIONS: Once-weekly subcutaneous semaglutide 2.0 mg as add-on to dose-reduced IGlar achieved superior reductions in HbA1c, BW, and daily insulin dose in people with T2D and overweight, while reducing their risk for severe hypoglycaemia compared to dose-titrated IGlar alone.

Adult↗

PubMed2026

Premeal insulin administration lowers postprandial blood glucose and increases myocardial microvascular blood flow in people with type 1 diabetes: a randomised, crossover clinical trial.

AIMS/HYPOTHESIS: We aimed to evaluate whether prandial insulin timing affects vascular function in people with type 1 diabetes. Our hypothesis was that premeal insulin administration would lead to greater myocardial microvascular blood flow (MBF) via blunting postprandial hyperglycaemia. METHODS: People with type 1 diabetes between 18 and 35 years of age with BMI <30 kg/m2 underwent two protocols with a 1:1 randomised crossover design wherein prandial insulin was injected either 15 min before or 15 min after meal intake began. To provide a physiological comparison, age-, sex- and BMI-matched control participants completed one study where they consumed the same meal but received no exogenous insulin. Glucose, insulin, vascular function (including ultrasound measures of myocardial and skeletal muscle microvascular perfusion, aortic stiffness, brachial artery endothelial function) and biomarkers of systemic inflammation and endothelial dysfunction were assessed at baseline and then 2 h after meal ingestion within each protocol. The primary outcome was change in myocardial MBF within each protocol. Study personnel assessing outcomes were masked to group assignment. RESULTS: Eighteen people with type 1 diabetes and 18 matched control participants were analysed within each protocol. Glucose area under the curve was significantly greater (p=0.015) in the postmeal insulin study compared with the premeal insulin study in participants with type 1 diabetes. Myocardial microvascular flow velocity significantly increased (p=0.031) with premeal insulin administration in people with type 1 diabetes and this consequently led to greater myocardial MBF (p=0.044). There were no changes in myocardial MBF within the other protocols. Changes in vital signs were similar between all protocols. CONCLUSIONS/INTERPRETATION: Appropriately timed premeal insulin led to lower postprandial blood glucose along with increased myocardial MBF in people with type 1 diabetes. Further work is needed to determine the underlying aetiology of these changes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04730882.

Humans↗

PubMed2026

A narrative systematic review of definitions and diagnostic criteria for disordered eating and eating disorders in type 1 diabetes.

AIMS/HYPOTHESIS: Type 1 diabetes and disordered eating (T1DE) affects 8-37.1% of adults and is associated with high rates of morbidity and mortality. The absence of a standardised case definition of T1DE and its severity hinders effective screening, diagnosis and treatment. This systematic review aimed to (1) synthesise existing case definitions and diagnostic criteria for T1DE in adults and (2) identify key characteristics to inform consensus for future diagnostic criteria. METHODS: A systematic review was conducted following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. Eligible studies involved adults (≥18 years) with type 1 diabetes assessing disordered eating; paediatric studies, mixed samples without disaggregated data, non-empirical designs and non-English publications were excluded. PubMed, MEDLINE, EMBASE, CINAHL and PsycINFO were searched up to November 2025 for peer-reviewed studies involving adults with T1DE. Qualitative and quantitative data on definitions, diagnostic criteria and assessment tools were extracted. Study quality was appraised using a modified Graphical Appraisal Tool for Epidemiological studies (GATE) checklist. Due to heterogeneity of data, a narrative synthesis of findings was performed to describe current definitions of T1DE. RESULTS: Sixty-one studies met the inclusion criteria, with a pooled sample of 111,208 participants (76% women) from over 22 countries. T1DE was defined using a heterogeneous array of terms, diagnostic frameworks and assessment tools (29 distinct methods). The Diabetes Eating Problem Survey-Revised (DEPS-R) was the most used questionnaire, but many studies relied on criteria adapted from general eating disorder classifications or generic questionnaires. Approximately three-quarters of the studies assessed insulin omission behaviours, but the operationalisation of the cognitions for insulin omission varied widely. Beyond physiological markers such as HbA1c and BMI, studies explored various diabetes-related and psychological constructs, although often considering diabetes and disordered eating separately rather than as an integrated condition. CONCLUSIONS/INTERPRETATION: This systematic review highlights the lack of a unified, evidence-based definition of T1DE, resulting in inconsistent screening, diagnostic and reporting practices. Establishing clear, consistent, evidence-based diagnostic criteria and screening questionnaires for T1DE is critical to improving early detection and developing targeted interventions. These findings provide a foundation for refining T1DE definitions as a stepping stone to an international consensus definition. STUDY REGISTRATION: PROSPERO registration no. CRD420250223622 FUNDING: King's College London and King's College Hospital through the KMRT KCH Joint Research Committee studentship. This work was also conducted as part of the National Institute for Health Research (NIHR; CS-2017-17-023)-funded STEADY project (Safe management of people with Type 1 diabetes and EAting Disorders studY). NZ's salary was part-funded by the NIHR via the NIHR Clinician Scientist award to MS; JT and KI are part-funded by the NIHR Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. MS was funded through her NIHR Clinician Scientist Fellowship (CS-2017-17-023).

Humans↗