AIMC Journal:
Diabetology & metabolic syndrome

BACKGROUND: The rising global incidence of metabolic syndrome (MetS) highlights the need for more effective diagnostic and therapeutic tools. Sphingolipid metabolites are crucial in MetS pathogenesis, and identifying related biomarkers could improve ...

BACKGROUND: Metabolic factors are considered to influence disease progression in patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), but the impact of individual metabolic factors on the survival rate of patients with MASL...

BACKGROUND: Diabetes has a large and diverse population, with individuals exhibiting significant heterogeneity in the disease. The factors influencing survival and prognosis are complex, making early intervention in diabetic populations particularly ...

BACKGROUND: Diabetes mellitus, a global health concern with severe complications, demands early detection and precise staging for effective management. Machine learning approaches, combined with bioinformatics, offer promising avenues for enhancing d...

Cardiovascular disease complications are the leading cause of morbidity and mortality in patients with Type 2 diabetes (T2DM). Left ventricular diastolic dysfunction (LVDD) is one of the earliest myocardial characteristics of diabetic cardiac dysfunc...

Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure impact millions of people annually globally and are a major cause of disease and death. This study explores the predictive capabilities of novel metabol...