Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort.

ABSTRACT:

Background

The immune system plays a vital role in the pathophysiology of acute myocardial infarction (AMI). However, the exact immune related mechanism is still unclear. This research study aimed to identify key immune-related genes involved in AMI.

Methods

CIBERSORT, a deconvolution algorithm, was used to determine the proportions of 22 subsets of immune cells in blood samples. The weighted gene co-expression network analysis (WGCNA) was used to identify key modules that are significantly associated with AMI. Then, CIBERSORT combined with WGCNA were used to identify key immune-modules. The protein-protein interaction (PPI) network was constructed and Molecular Complex Detection (MCODE) combined with cytoHubba plugins were used to identify key immune-related genes that may

SUBMITTER: Zheng PF 

PROVIDER: S-EPMC9306178 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature