Diabetes

Multi-omics integration identifies macrophage senescence driven by the RUNX1-P53 axis as a key mechanism in diabetic foot ulcer.

Diabetic foot ulcer (DFU) is a severe complication of diabetes, characterized by chronic inflammation and impaired healing. Although cellular and immunosenescence are associated with chronic wounds, the specific cell types, regulatory mechanisms, and pathological consequences within the DFU microenvironment remain poorly defined. We conducted an integrative multi-omics analysis combining bulk and ...

Associations of Accelerometer-Derived "Weekend Warrior" Physical Activity Pattern With Incident First Cardiometabolic Disease and Cardiometabolic Multimorbidity in Individuals With Hypertension.

BACKGROUND: To examine associations between accelerometer-derived "weekend warrior" (WW) physical activity pattern (most moderate-to-vigorous-intensity physical activity in 1-2 days) versus moderate-to-vigorous-intensity physical activity spread more evenly with risks of incident first cardiometabolic disease (FCMD) and cardiometabolic multimorbidity (CMM) among hypertension participants. METHODS:...

Identification and validation of novel diagnostic biomarkers across multiple tissues in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...

Metabolomic signature reveals dysregulated lipoprotein profile in m.3243A>G carriers: a case-control study.

INTRODUCTION: The pathogenic mitochondrial gene variant m.3243A>G disrupts oxidative phosphorylation and is associated with insulin resistance, both o...

Development of a predictive model for postoperative body mass index and diabetes outcomes after metabolic bariatric surgery: retrospective cohort study.

BACKGROUND: Predicting postoperative body mass index (BMI) trajectories and long-term type 2 diabetes (T2D) remission after bariatric surgery remains ...

Prediction of Type 2 Diabetes Mellitus From Chest X-Rays Using a Suite of Previously Developed Chronic Disease Deep Learning Models in an Ethnically Diverse Cohort: Observational Study.

BACKGROUND: Screening for type 2 diabetes (T2D) is not optimal, leading to a large number of patients being undiagnosed. Recently, deep learning (DL) ...

Evaluation of the Efficacy of Artificial Intelligence-Based Screening for Diabetic Retinopathy in a Predominantly Non-White Population.

OBJECTIVE: To evaluate the diagnostic accuracy of Luminetics Core, a Food and Drug Administration-cleared artificial intelligence-based screening syst...

A Validated, Modifiable Proteomic Score from the EXSCEL Trial Predicts Cardiovascular Events in Diabetes.

Adults with type 2 diabetes mellitus (T2DM) are at increased risk for stroke, myocardial infarction, and cardiovascular death, yet individual risk is ...

Dual branch fundus deep learning network as an enhanced multi classification system for ocular disease detection via hybrid feature fusion.

Ophthalmic diagnosis relies heavily on the interpretation of fundus images to identify a range of debilitating diseases. However, the presence of mult...

A digital marker for stratifying cardiovascular metabolic comorbidities among the middle-aged and elderly adults.

Cardiovascular Metabolic Comorbidities (CMM) share common physiological mechanisms in inflammation and immunity, oxidative stress, and insulin resista...

Identification of exosomal miRNA-based predictive signatures for gestational diabetes mellitus via multi-algorithm machine learning.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, leading to adverse maternal and neonatal outcomes. Ex...

Opportunistic screening for incident cardiometabolic disease in metabolically healthy non-obese individuals: a prospective cohort study.

BACKGROUND: Metabolically healthy non-obese (MHN) individuals are considered at low cardiometabolic risk, yet a subset may harbor unfavorable visceral...

Explicit Inclusion of Diabetes Mellitus Without Retinopathy Within Diabetic Retinopathy Prediction.

PURPOSE: The purpose of this study was to evaluate whether explicitly modeling diabetes mellitus (DM) without diabetic retinopathy (DR) as its own sta...

Archetypal Visual Field Analysis of Patients With Chronic Leber Hereditary Optic Neuropathy in Relation to Visual Recovery.

PURPOSE: To use the machine learning algorithm archetypal analysis (AA) to characterize visual field (VF) loss patterns in patients with chronic Leber...

Impact of Subretinal Drusenoid Deposits on Ellipsoid Zone-Related Thickness Metrics.

PURPOSE: Ellipsoid zone (EZ) attenuation is a widely used endpoint in retinal disease trials and is quantified as the distance between the EZ and reti...

Insulin resistance surrogate indices and incident cardiovascular disease across cardiovascular-kidney-metabolic stages 0-3: a prospective cohort study.

BACKGROUND: The American Heart Association (AHA) recently proposed the concept of Cardiovascular-Kidney-Metabolic (CKM) syndrome, highlighting the str...

Developing a machine learning model to predict renal function decline within three years using one-year longitudinal data in patients with type 2 diabetes.

AIMS: The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to an increase in diabetic kidney disease (DKD), which is presently a major...

Naturalistic driving data can identify elevated driving risk in adults with Type 1 diabetes.

OBJECTIVE: Individuals with Type 1 Diabetes Mellitus (T1DM) may experience acute glucose events, such as hypoglycemia and severe hyperglycemia, that c...

Artificial intelligence for child health: current capabilities and the next frontier.

Artificial intelligence (AI) is reshaping paediatric healthcare, offering new capabilities across diagnosis, monitoring and treatment personalisation....

Advances, challenges, and opportunities in engineering C5 and C6 sugar transporters in yeast for bio-based industrial biotechnology.

Harnessing biomass for bio-based industrial biotechnology is vital for addressing global energy needs and mitigating climate change. In this context, ...