Recent studies have unveiled significant genetic and molecular insights into the heterogeneity of type 2 diabetes (T2D) across different populations. A cluster-based phenotypic analysis highlighted that Indian and Chinese populations exhibit a higher frequency of severe insulin-deficient diabetes, with earlier onset and lower β-cell function compared to Europeans. Specifically, Chinese individuals showed an increased risk of developing impaired glucose tolerance (IGT) in the presence of insulin resistance, particularly in skeletal muscle, suggesting a unique pathophysiological profile (ref: Udler doi.org/10.1038/s41591-024-03413-9/). Furthermore, a meta-analysis of adipose tissue expression quantitative trait loci (eQTL) identified 34,774 distinct eQTL signals across 18,476 genes, emphasizing the role of allelic heterogeneity in gene expression regulation and its implications for cardiometabolic traits (ref: Brotman doi.org/10.1038/s41588-024-01982-6/). These findings underscore the complexity of genetic factors influencing diabetes and highlight the need for tailored approaches in treatment and prevention strategies. In addition to genetic insights, the therapeutic landscape for diabetes management is evolving with the introduction of glucagon-like peptide 1 receptor agonists (GLP-1RAs). A comprehensive mapping of the effectiveness and risks associated with GLP-1RA use revealed a reduction in various health risks, including substance use and neurocognitive disorders, although gastrointestinal and renal complications were noted as potential adverse effects (ref: Xie doi.org/10.1038/s41591-024-03412-w/). Moreover, proteomic analyses following semaglutide treatment indicated broad effects on body weight regulation, glycemic control, and inflammatory pathways, further supporting the multifaceted role of GLP-1RAs in managing obesity and T2D (ref: Maretty doi.org/10.1038/s41591-024-03355-2/). Lastly, the supplementation of Akkermansia muciniphila demonstrated efficacy in reducing body weight and HbA1c in individuals with low baseline levels, highlighting the importance of gut microbiota in diabetes management (ref: Zhang doi.org/10.1016/j.cmet.2024.12.010/).