ArticleResearch square2025
VAT-Dependent Inflammatory Proteomic Signatures of Cardiometabolic Traits and Central Proteins.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Pathway-dependent cold activation of heat-responsive TRPV channels.Scientific reports · 2025Article
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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