Diabetes and metabolic dysfunction represent growing global health challenges, and current therapies mitigate hyperglycemia without sufficiently altering the underlying disease processes. Rapid advances in regenerative medicine, gene editing, and nano-enabled drug delivery are reshaping therapeutic possibilities, offering the potential to restore β-cell function, enhance insulin sensitivity, and personalize care at an unprecedented scale. This review synthesizes emerging therapeutic strategies with the greatest translational promise, including stem cell-derived islet replacement, immune-evasive encapsulation devices, CRISPR-based gene correction, and targeted or glucose-responsive nanocarriers engineered for noninvasive insulin delivery. Complementary advances in multi-omics profiling, proteogenomics, microbiome science, and artificial intelligence are enabling stratification of patients based on molecular signatures, optimizing therapeutic selection, and predicting clinical outcomes. Despite remarkable breakthroughs—such as the early-phase clinical success of stem cell-derived β-cell replacement and organ-targeted lipid nanoparticles (LNPs)—significant barriers remain, including immunogenicity, off-target editing, scalability, ethical concerns, and long-term safety. By integrating mechanistic insights with translational developments, this review outlines a forward-looking perspective on next-generation treatments poised to shift diabetes care from glycemic management toward disease modification and personalized metabolic restoration.

Aim: Hypertriglyceridemia is linked to increased risk of diabetes diagnosis, incidence, and mortality. However, whether individuals with normal triglyceride levels (i.e., < 1.7 mmol/L) uniformly exhibit low diabetes risk remains underexplored. Specifically, it is unclear whether triglyceride levels within the normal range are associated with plasma glucose levels and the prevalence of type 2 diabetes (T2DM). This study aimed to address these gaps by examining the associations between triglyceride levels and fasting plasma glucose, as well as between triglyceride levels and T2DM, in individuals with triglycerides in the normal range. Methods: This cross-sectional study included 16,706 Chinese adults with triglyceride levels below 1.7 mmol/L. Among them, 1,067 had T2DM. Associations between triglyceride levels and fasting plasma glucose were assessed using linear regression, while associations with T2DM were evaluated using binary logistic regression. The optimal triglyceride cut-off for T2DM diagnosis was determined via receiver operating characteristic (ROC) curve analysis. Results: Triglyceride levels were positively associated with fasting plasma glucose after multivariate adjustment (β = 0.034, P < 0.001). A one-unit increase in the natural log of triglyceride levels was associated with a 61% higher adjusted odds of T2DM [odds ratio (OR), 1.61; 95% confidence interval (CI), 1.19–2.17; P = 0.002]. The optimal triglyceride cut-off for T2DM diagnosis was 1.09 mmol/L. Participants with triglyceride levels ≥ 1.09 mmol/L had a 28% higher odds of T2DM (OR, 1.28; 95% CI, 1.07–1.53; P = 0.006) compared to those with levels below the cut-off. Conclusions: Among individuals with normal triglyceride levels, higher triglyceride concentrations were associated with higher odds of T2DM diagnosis, with an optimal diagnostic cut-off of 1.09 mmol/L. These findings suggest that adults with triglyceride levels more than 1.09 mmol/L may benefit from closer monitoring for T2DM development.

This commentary discusses a recent article (J Diabetes 2025;17(3):e70063), focusing on interpreting the study’s sex-stratified results in a broader clinical and mechanistic context. The authors of this systematic review and meta-analysis of 14 randomized trials demonstrate that women achieve greater weight loss induced by glucagon-like peptide-1 (GLP-1) receptor agonists compared to men (mean difference of 1.04 kg or 1.69%). Analyses specific to different drugs consistently show that women benefit more from dulaglutide, liraglutide, semaglutide, and retatrutide, with trials focused on obesity further emphasizing this gap. Sensitivity analyses confirm the reliability of these findings and indicate the absence of publication bias. We discuss the clinical implications of these results, suggesting that healthcare providers should consider sex differences when counseling, monitoring, and dosing patients. We also advocate for future trials that are adequately powered and stratified by sex to evaluate factors such as adherence, adverse events, and body composition. Mechanistic hypotheses, such as sex-related pharmacokinetics, estrogen-GLP-1 synergy, and varying inflammatory responses, should be investigated further to inform precision dosing. Lastly, we recommend that regulatory agencies revisit current labeling, which claims no sex differences, as more sex-stratified evidence becomes available. It is important to acknowledge the existing heterogeneity and remaining uncertainties in this area of research.