Understanding the role of genetic and epigenetic factors in diabetes has become essential in unraveling the complexities of disease onset, progression, and treatment response. Genetic predisposition influences both type 1 and type 2 diabetes, with variations in genes like TCF7L2 and HLA-DR/DQ playing critical roles. However, epigenetic modifications—such as DNA methylation, histone modifications, and non-coding RNAs—bridge the gap between genetics and environmental triggers like diet, stress, and physical activity. These factors can alter gene expression without changing DNA sequences, potentially leading to insulin resistance or beta-cell dysfunction. Advances in genome-wide association studies (GWAS) and epigenomic profiling are paving the way for precision medicine, allowing for targeted interventions based on an individual’s genetic and epigenetic landscape. By integrating these findings into clinical practice, researchers aim to develop more effective prevention strategies and personalized treatment approaches for diabetes management.










Title : Vascular health with glucagon-like peptide-1 receptor agonists
Mahir Khalil Ibrahim Jallo, Thumbay University Hospital
Title : The prowess of Overripe Banana Sweetener (OBS) in enhancing nutritive values in food and ameliorating glycaemic responses in type 2 diabetes mellitus
Wan Rosli Wan Ishak, Universiti Sains Malaysia
Title : An intelligent hierarchical medical platform established upon high-quality datasets improves the effectiveness of glycemic management for patients across different levels of hospitals
Zhiheng Zhou, Southern Medical University
Title : Diabetes pathogenesis and prevention
Madhu S Malo, Stapgen LLC
Title : Effects of a structured education program on glycemic control in type 1 diabetes
Ana Paula Franco Pacheco, Estacio University of Brasília
Title : Differential diagnosis of diabetes in young and prevalence of LADA and LADY in young persons attending tertiary diabetes institute in Bengaluru, India
R Anil Kumar, Karnataka Institute of Endocrinology and Research
Title : Association between diabetes technology use and prevalent macrovascular disease in adults with type 1 diabetes: A cross-sectional analysis
Divanshi Trivedi, London Northwest Hospital NHS Foundation Trust
Title : Endocrine-specific diabetes risk modeling, glucose–insulin dynamics, and simulation-based metabolic review using the BVidAL clinical software suite
Abhishek Bansal, New Era Consultancy Services
Title : Using a multi-disciplinary clinic model to prevent diabetic foot ulcer recurrence
Kaishi Yang, Albert Einstein College of Medicine
Title : Shaping the future of diabetes care: New advancements in treatment, digital health and personalized patient care
Rupesh K Gautam, Amity Institute of Pharmacy