Inflammatory proteomic signatures of cardiometabolic traits and the contribution of visceral adipose tissue: a cross-sectional and network proteomic analysis
Year: 2026
Type: article
Abstract: Visceral adiposity tissue (VAT), fat located within the abdominal cavity, may play a causal role in driving inflammation and poor cardiometabolic health. This study investigates the cross-sectional relationships between multiple cardiometabolic traits, including VAT, and proteomic-based inflammatory signatures. Body adiposity distribution quantified using dual-energy X-ray absorptiometry (DXA), cardiometabolic traits, and plasma proteomics inflammation panel (Olink Explore 384) were measured in a discovery cohort from the Vitamin D and Omega-3 Trial (VITAL; N = 525) and a replication cohort from the Cocoa Supplement and Multivitamin Outcomes Study (COSMOS; N = 371). We derived inflammatory proteomic markers of VAT, systolic blood pressure (SBP), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), fasting glucose, and insulin resistance (Homeostasis Model Assessment of Insulin Resistance; HOMA-IR). Inflammatory proteomic markers were identified via linear regression at a false discovery rate (FDR) < 0.05. Proteomic markers showed aligned associations with VAT and the other cardiometabolic traits, except for HDL-C, which was opposite. After adjusting for VAT levels, most proteomic markers were no longer statistically significant: >97% for glucose and SBP, and 73%, 62%, and 56% for HOMA-IR, TG, and HDL-C, respectively, suggesting that VAT explains the variability of these associations. To further elucidate shared mechanisms, we examined the network architecture of 86 proteomic markers common to all cardiometabolic traits. Some of the VAT-dependent protein signatures with high centrality were TGFB1, PDLIM7, COLEC12, and LAIR1. These hub-like proteins may reflect the influence of VAT accumulation on other cardiometabolic traits and highlight novel therapeutic targets for reducing cardiometabolic risk.
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Deep phenotyping and AI approaches for novel CVD risk factors, The VITamin D and OmegA-3 TriaL (VITAL), Mentored Patient-Oriented Research for Preventing ASCVD Events, Decoding mechanisms underlying metabolic dysregulation in obesity and digestive cancer risk, The VITamin D and OmegA-3 TriaL (VITAL): Post-Intervention Follow-Up, Targeting the Active Resolution of Inflammation for Cardiovascular Disease Prevention, Circulating plasma metabolites, diet, and risk of type 2 diabetes
OpenAlex ID: W7212062010
