Correlation between Complement C1q A Chain (C1QA) and  Macrophages in the Progression of Carotid Atherosclerosis

Guanglong Dong; Xiangwen Yu; Mingyu Zhao; Shusen Lin; Qingyu Meng

doi:10.18502/ijph.v53i7.16046

Guanglong Dong Vascular Surgery Department, the Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China
Xiangwen Yu Vascular Surgery Department, the Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China
Mingyu Zhao Vascular Surgery Department, the Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China
Shusen Lin Vascular Surgery Department, the Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China
Qingyu Meng Vascular Surgery Department, the Third Affiliated Hospital of Qiqihar Medical University, Heilongjiang 161000, China

DOI: https://doi.org/10.18502/ijph.v53i7.16046

Keywords: Carotid Atherosclerosis; Bioinformatics; Macrophages; Key modules; Differentially expressed genes

Abstract

Background: There is increasing evidence that macrophages are involved in the development of carotid atherosclerosis (CAS), but the specific mechanism is still unclear. We aimed to explore the key genes that play a regulatory role on macrophages in the progression of CAS.

Methods: From 2021 August to 2023 August, GEO datasets GSE100927 and GSE43292 were downloaded and the key gene modules related to CAS were identified by weighted Gene co-expression network analysis (WGCNA). Kyoto Encyclopedia of Genes and Genes (KEGG) pathway analysis was performed on the genes of the key modules to identify common gene enrichment pathways. Differential expression analysis of pathway-related genes was performed by the "limma" package of R software. Case groups were categorized into high and low expression groups based on the expression levels of key genes, and ssGSEA immune infiltration analysis was performed.

Results: The turquoise module of GSE100924 (threshold=12) and the brown module of GSE43292 (threshold=7) were obtained through WGCNA analysis. The analysis of KEGG showed that the differentially expressed genes in the turquoise and brown modules were co-enriched in the staphylococcus aureus infection signaling pathway. Differential expression analysis identified 18 common differentially expressed genes, all of which were highly expressed in the case group. C1QA is the gene of interest. According to ssGSEA analysis, the high expression group of C1QA showed a significant increase in the number of macrophages (GSE43292, P=0.0011; GSE100927, P=0.025).

Conclusion: This study identified the key gene C1QA involved in regulating macrophage functional activity during the CAS process, providing new ideas for effective control of CAS.