Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation.

ABSTRACT:

Background

Inflammation is a key driver of atherosclerosis, yet the mechanisms sustaining inflammation in human plaques remain poorly understood. This study uses a network-based approach to identify immune gene programs involved in the transition from low- to high-risk (rupture-prone) human atherosclerotic plaques.

Methods

Expression data from human carotid artery plaques, both stable (low-risk, n = 16) and unstable (high-risk, n = 27), were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA). Bayesian network inference, operated on the eigengene values from the WGCNA, further extended the WGCNA analysis, and similarity to the signature of T cell subsets was validated in single-cell RNA sequencing data of human plaques, and a loss-of-function study in a mouse

SUBMITTER: Jin H 

PROVIDER: S-EPMC12490039 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature