Diabetes

Variant-specific pharmacophoric shifts in glucagon-like peptide-1 receptor-orforglipron complexes revealed by Boltz-2 co-folding and membrane molecular dynamics.

BACKGROUND: Orforglipron (ORF), the first orally bioavailable non-peptide glucagon-like peptide-1 receptor (GLP-1R) agonist to complete Phase 3 clinical trials, binds a distinct extracellular vestibule pocket not engaged by peptide GLP-1RAs. How commonly GLP-1R single-nucleotide polymorphisms alter this unique binding mode at the molecular level remains uncharacterized. METHODS: We employed an int...

Additive effects of heat and volatile organic compounds co-exposure on metabolic syndrome: evidence from petrochemical workers in China.

OBJECTIVE: To investigate the independent and joint associations of heat and volatile organic compounds (VOCs) exposure with metabolic syndrome (MetS) among petrochemical workers. METHODS: A cross-sectional study was conducted among 1140 petrochemical workers in the Quangang Petrochemical Industrial Park, China. Occupational heat and VOCs exposures were assessed following national occupational sta...

Unraveling Bone-Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice.

The clinical intractability of diabetic foot ulcers stems from a profound uncoupling of cutaneous neurovascular networks, rendering standard metabolic...

Lipoprotein(a) and atherosclerosis risk across estimated glucose disposal rate strata: evaluating synergistic predictive utility.

BACKGROUND: High lipoprotein(a) [Lp(a)] levels and insulin resistance (IR) are both established risk factors for atherosclerosis. Nevertheless, the in...

[Artificial intelligence in neuro-ophthalmology: prospects, challenges and countermeasures].

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...

Yin-Huang-Qing-Fei-Capsule derived diosgenin and its optimized nanoconjugate target STAT3 against pulmonary fibrosis.

BACKGROUND: Pulmonary fibrosis (PF) is a progressive, fatal interstitial lung disease with limited curative therapeutic options. Yin-Huang-Qing-Fei (Y...

Adaptive graph learning of microbial phylogeny enables accurate and interpretable microbiome-based host phenotype prediction.

The human microbiome is inherently structured by phylogeny, yet most predictive models treat microbial taxa as independent features, thereby underusin...

Digital Management of Early-Onset Type 2 Diabetes: Empowerment, Challenges, and Future Outlook.

PURPOSE OF REVIEW: Early-onset type 2 diabetes (EOT2D), defined as a diabetes diagnosis before 40 years of age, is rising globally and associated with...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

Assessing the association of type 2 diabetes with skin health status: a study of the Northern Finland Birth Cohort 1966.

OBJECTIVES: There is evidence to suggest that alterations in skin health often co-occur with type 2 diabetes (T2D). However, the underlying mechanisms...

Artificial intelligence for detection, prediction, and severity classification of diabetic peripheral neuropathy: a systematic review.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes and an important contributor to foot ulceration and lower limb a...

Identification of FOXK1 and SEMA7A as key genes associated with m6A-related programmed cell death in diabetic retinopathy.

BACKGROUND: Diabetic retinopathy (DR), a serious microvascular complication of diabetes, has a complex pathogenic mechanism that is intricately linked...

C-reactive protein-triglyceride-glucose index as a novel biomarker for type 2 diabetes mellitus association in women with a history of gestational diabetes mellitus.

OBJECTIVE: To explore the relationship between the C-reactive protein-triglyceride-glucose index (CTI) and the risk of type 2 diabetes mellitus (T2DM)...

Anthropometry-adjusted TyG indices predict diabetes, graft failure, and mortality in kidney transplant recipients.

CONTEXT: The triglyceride-glucose (TyG) index is a widely used surrogate marker of insulin resistance and associated with cardiometabolic outcomes. Ho...

Trustworthy AI for personalized glycemic control: a systematic review and critical appraisal of multimodal forecasting and safety-critical closed-loop control.

Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term microvascular/macrovascular risks. The application of A...

Where You Live Shapes Diabetes Risk: Multilevel Determinants of Type 2 Diabetes in the East South Central United States.

Type 2 diabetes melittus (T2DM) remains a major public health challenge in the United States, particularly in the east south central regions. his stud...

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to...

Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study.

BACKGROUND: Cardiovascular diseases (CVDs) and type 2 diabetes (DM2) are influenced not only by biomedical risk factors but also by social determinant...

Construction and validation of an interpretable machine learning model for predicting diabetes risk in COPD patients.

To construct and validate a machine learning (ML) model for predicting diabetes risk in COPD patients, enabling early and personalized intervention. U...

On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms.

Fully automated insulin delivery (FAID) systems aim to regulate blood glucose levels in individuals with type 1 diabetes with minimal user input. A ke...