Differential analysis of DNA methylation combined with gene expression in patients with pulmonary embolism
10.3760/cma.j.issn.1671-0282.2024.02.018
- VernacularTitle:肺栓塞患者DNA甲基化联合基因表达差异分析
- Author:
Jiarui CAO
1
;
Wei LI
;
Guolei CAO
;
Lili HE
;
Haiwen NIU
;
Xiaohan LI
;
Qin LUO
Author Information
1. 新疆医科大学附属肿瘤医院重症医学科，乌鲁木齐 830011
- Keywords:
Pulmonary embolism;
DNA methylation;
Gene expression;
Conjoint analysis
- From:
Chinese Journal of Emergency Medicine
2024;33(2):242-247
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To screen genetic and epigenetic expression differences associated with pulmonary embolism through integrated bioinformatics analysis.Methods:Four patients with pulmonary embolism and healthy physical examination in the Third Affiliated Hospital of Xinjiang Medical University in 2019 were selected as the research objects, using high-throughput sequencing technologies and methylation chip technology to detect, screening and integrated peripheral blood difference genomes and the epigenome data to identify the pathogenesis of pulmonary embolism caused by methylation of drive and differentially expressed genes, GO and KEGG enrichment analysis were performed.Results:Coexpression analysis of DNA methylation and gene expression data between the pulmonary embolism group and the healthy control group showed that differential methylation in the upstream region of genes was negatively correlated with gene expression. Among them, 8 significantly methylated genes in the upstream region of genes were screened out, and independent sample t-test and Pearson correlation analysis were done. In the pulmonary embolism group, there were 6 significant methylated genes of TSS1500, namely TSPO2, C1QA, AQP1, TNFSF9, MIA and STAB1, and the differential expression multiple log2FC of corresponding genes was 1.298, 1.629, 1.024, 2.746, 2.539, 1.060, respectively. The correlation between gene expression and gene methylation were -0.908, -0.900, -0.824, -0.784, -0.783, -0.779, respectively, and the methylation differences between the two groups were -0.049, -0.053, -0.048, -0.057, -0.050, respectively. -0.053 ( P < 0.05). There were three significantly methylated genes in the TSS200 region, namely TSPO2, SLC9A, and SIGLEC1. The gene expression differential multiple log2FC was 1.298, -2.252, and 1.866, respectively. The correlation between gene expression and gene methylation was -0.860, -0.774, and -0.739, respectively. The methylation difference between the two groups was -0.051, 0.027, -0.048 ( P < 0.05). In the pulmonary embolism group, 7 genes, including TSPO2, C1QA, AQP1, TNFSF9, MIA, STAB1 and SIGLEC1, showed hypomethylation and high expression in the TSS region. SLC9A3 gene showed high methylation and low expression. In the analysis of GO function, significant enrichment was obtained in complement activation, immune response and activation protein cascade. In the KEGG signaling pathway, the immune system, bacterial infection, and signaling molecules and interactions are significantly enriched, thereby regulating the occurrence of pulmonary embolism. Conclusions:Based on the combined analysis of DNA methylation and gene expression, a new idea of the occurrence and development of pulmonary embolism has been found, which can be further studied in the future.
