AUTHOR=Saxena Aditya , Tiwari Pradeep , Gora Anamika , Sharma Balram , Mandia Rajendra , Gupta Shalu , Dhakar Anurag , Lamoria Ravinder Kumar , Choudhary Praveen , Mathur Sandeep Kumar 

TITLE=Cutaneous signs of insulin resistance with central obesity: insights into adipocentric metabolic dysfunction in South Asians

JOURNAL=Frontiers in Clinical Diabetes and Healthcare

VOLUME=Volume 6 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/clinical-diabetes-and-healthcare/articles/10.3389/fcdhc.2025.1691675

DOI=10.3389/fcdhc.2025.1691675

ISSN=2673-6616

ABSTRACT=Aim and objectivesTo investigate the Cutaneous Signs of Insulin Resistance, namely acanthosis nigricans (AN) and acrochordon (AC), in individuals with Central Obesity (CO-CSIR) as physical predictors of metabolic syndrome (MetS), underlying adipose tissue pathology, and consequent pathophysiological traits in South Asians.MethodsIn this study, 371 participants were recruited in a tertiary care facility and grouped based on the presence of cutaneous signs (AC and/or AN) and central obesity. Each participant was assessed for MetS, T2D, as well as other demographic, biochemical, and radiological parameters. Additionally, we conducted transcriptome profiling in adipose depots for selected individuals to investigate whether there are modules of co-expressed genes that show a correlation with cutaneous sign(s) and MetS/T2D, in order to decipher the link between these signs and metabolic derangement.ResultsANOVA analyses revealed significant differences among groups with varying cutaneous signs and W:H ratios, particularly highlighting the combined predictive capability of these markers. Post hoc tests further confirmed these findings, showing substantial differences in MetS, T2D, and HOMA-IR between these groups. Sensitivity-specificity analyses demonstrated that CO-CSIR provides a more balanced and accurate prediction of MetS status compared to either CO or CSIR alone. Furthermore, in predicting MetS status based on the number of MetS components (from 5 to ≥1), it also performed well. WGCNA analysis in visceral fat revealed modules of co-expressed genes significantly correlated with AC and MetS, indicating a link between the adipose tissue molecular pathology and the cutaneous signs.ConclusionCO-CSIR is a promising physical sign for predicting MetS and the underlying adipose tissue-driven dysmetabolism in South Asians.