47 papers
This multicenter cross-sectional study in northern Nigeria reveals that dyslipidemia affects nearly 60% of diabetes patients, is independently associated with female gender and proteinuria, and remains poorly managed with only 17.1% of patients achieving cardiovascular risk targets due to limited treatment options and low guideline adherence.
A cross-sectional analysis of the 2022 Australian National Health Survey reveals that approximately 39.7% of Australian adults (7.8 million people) are eligible for GLP-1 receptor agonist medications for chronic weight management, with a smaller subset also qualifying for secondary cardiovascular disease prevention, providing critical data for policymakers on potential access scenarios.
This study demonstrates that 68Ga-NODAGA-exendin-4 PET-CT derived biomarkers effectively distinguish between individuals with long-standing type 1 diabetes and those with obesity, while also showing a strong correlation with functional beta cell mass in the obese group, suggesting the method's utility for monitoring beta cell mass in both research and clinical settings.
This large cross-sectional study of 1,300 women with polycystic ovary syndrome (PCOS) found that thyroid autoimmunity is not associated with a more severe cardiometabolic or androgenic phenotype, suggesting that anti-TPO positivity alone does not identify a metabolically high-risk PCOS subgroup.
This study utilizing UK Biobank data reveals that while the Edmonton Obesity Staging System and the Lancet Commission Diagnostic Model show high concordance for established disease, they differ significantly in early-stage classification due to distinct operational definitions of organ dysfunction, suggesting that integrating both frameworks could enhance obesity risk stratification and intervention targeting.
This large-scale validation study demonstrates that a speech-based model trained on over 21,000 individuals can effectively predict type 2 diabetes from 20-second recordings, achieving clinically useful accuracy comparable to traditional methods like QDiabetes and validated against HbA1c blood tests.
This study applies a causal mediation framework enhanced by a Causally-constrained Linear Autoencoder to continuous glucose monitoring data from Type 1 Diabetes patients, revealing significant heterogeneity in how carbohydrate intake affects glucose levels through direct versus insulin-mediated pathways, particularly highlighting systematic under-compensation at dinner that is masked by population-average analyses.
This cross-sectional NHANES study reveals that kidney stones are independently associated with reduced femoral neck bone mineral density, a relationship partially mediated by an altered calcium-to-phosphorus ratio, particularly among younger individuals and those without chronic kidney disease.
This pilot study demonstrates that DiaBuddy, a guideline-aligned mobile decision support tool, significantly outperforms family recommendations in preclinical accuracy for insulin dosing and sick-day management while showing preliminary improvements in glycemic control and quality of life for children with Type 1 diabetes, supporting the need for larger randomized controlled trials.
This open-label cluster-randomised pilot study conducted in rural India demonstrates that a multifaceted, patient-peer delivered lifestyle intervention supported by healthcare workers and technology significantly improved type 2 diabetes control over three months, although it resulted in remission for only a small proportion of participants.
This study projects that following the 2026 patent expiry, generic semaglutide could be produced for as little as 140 annually and made available in 160 countries covering the majority of the global obesity and type 2 diabetes burden, though equitable access will depend on addressing device costs and secondary patents through coordinated policy action.
In a large cohort of young women with polycystic ovary syndrome, data-driven clustering identified two distinct endocrine-metabolic phenotypes, including a rare thyroid/autoimmune-enriched subgroup associated with a higher prevalence of atherogenic lipid profiles, highlighting the value of integrated profiling for early cardiometabolic risk stratification beyond traditional diagnostic criteria.
This study validates the reliability and structure of the Diabetes Diet Adherence Scale (D-DAS) for Indian type 2 diabetes patients, finding it to be a robust measurement tool while revealing that only 68.3% of participants adhered to their prescribed diet plans.
This study identifies SPARC as a promising biomarker for active thyroid eye disease by demonstrating its elevated expression in orbital fibroblasts, its correlation with disease severity and thyroid hormone levels, and its decline following the active phase of the condition.
This study analyzes metabolic signatures in 476 Michigan Medicine patients to demonstrate that obesity status significantly modulates the severity of metabolic and cardiovascular symptoms associated with Cushing's disease, highlighting the need to account for obesity when evaluating the disease's effects.
This prospective observational study introduces and validates the adipo-B index as a superior, unified metric for assessing systemic metabolic status and therapeutic response in type 2 diabetes by integrating adipose tissue insulin resistance and pancreatic beta-cell function across multiple treatment strategies.
This study demonstrates that in drug-naive patients with early-stage type 2 diabetes, both a modified traditional Japanese diet and the DPP-4 inhibitor alogliptin paradoxically increase serum uric acid levels, a change that correlates with improved beta-cell function and suggests uric acid may serve as a dynamic biomarker of metabolic adaptation rather than deterioration.
This study identifies circulating plasma miR-150-5p and miR-375-3p as robust, non-invasive biomarkers that distinguish aggressive, early-onset Type 1 diabetes endotypes from later-onset forms, offering a novel tool for endotype-centered patient stratification and clinical trial enrichment.
In a retrospective analysis of 2,296 real-world GLP-1 receptor agonist users, higher engagement with a breath-based metabolic monitoring device was significantly associated with greater 24-week weight loss and improved metabolic flexibility, though the observational nature of the study precludes definitive causal conclusions.
This study introduces and validates the Cortisol Sine Score (CSS), a novel, model-free scalar metric that simplifies the analysis of daily cortisol rhythms into a single interpretable value, demonstrating strong agreement with established circadian models while enabling practical application in large-scale epidemiological studies, clinical workflows, and machine learning pipelines with reduced sampling requirements.