Genetic Epidemiology and Genomics Laboratory, University of California, Berkeley, Berkeley, California, United States of America.
Computational Biology Graduate Group, University of California, Berkeley, Berkeley, California, United States of America.
PLoS One. 2020 Mar 31;15(3):e0230884. doi: 10.1371/journal.pone.0230884. eCollection 2020.
Endothelial cells are a primary site of leukocyte recruitment during inflammation. An increase in tumor necrosis factor-alpha (TNFa) levels as a result of infection or some autoimmune diseases can trigger this process. Several autoimmune diseases are now treated with TNFa inhibitors. However, genomic alterations that occur as a result of TNF-mediated inflammation are not well understood. To investigate molecular targets and networks resulting from increased TNFa, we measured DNA methylation and gene expression in 40 human umbilical vein endothelial cell primary cell lines before and 24 hours after stimulation with TNFa via microarray. Weighted gene co-expression network analysis identified 15 gene groups (modules) with similar expression correlation patterns; four modules showed a strong association with TNFa treatment. Genes in the top TNFa-associated module were all up-regulated, had the highest proportion of hypomethylated regions, and were associated with 136 Disease Ontology terms, including autoimmune/inflammatory, infectious and cardiovascular diseases, and cancers. They included chemokines CXCL1, CXCL10 and CXCL8, and genes associated with autoimmune diseases including HLA-C, DDX58, IL4, NFKBIA and TNFAIP3. Cardiovascular and metabolic disease genes, including APOC1, ACLY, ELOVL6, FASN and SCD, were overrepresented in a module that was not associated with TNFa treatment. Of 223 hypomethylated regions identified, several were in promoters of autoimmune disease GWAS loci (ARID5B, CD69, HDAC9, IL7R, TNIP1 and TRAF1). Results reveal specific gene groups acting in concert in endothelial cells, delineate those driven by TNFa, and establish their relationship to DNA methylation changes, which has strong implications for understanding disease etiology and precision medicine approaches.
内皮细胞是炎症期间白细胞募集的主要部位。感染或某些自身免疫性疾病导致肿瘤坏死因子-α(TNFa)水平升高,可触发此过程。现在,几种自身免疫性疾病都用 TNFa 抑制剂治疗。然而,由于 TNF 介导的炎症而发生的基因组改变还没有得到很好的理解。为了研究由于 TNFa 增加而导致的分子靶标和网络,我们通过微阵列在 40 个人脐静脉内皮细胞原代细胞系中测量了 TNFa 刺激前后 24 小时的 DNA 甲基化和基因表达。加权基因共表达网络分析确定了 15 个具有相似表达相关模式的基因群(模块);四个模块与 TNFa 处理有很强的关联。与 TNFa 相关的模块中基因全部上调,具有最高比例的低甲基化区域,与 136 个疾病本体术语相关,包括自身免疫/炎症性、传染性和心血管疾病以及癌症。它们包括趋化因子 CXCL1、CXCL10 和 CXCL8,以及与自身免疫性疾病相关的基因,包括 HLA-C、DDX58、IL4、NFKBIA 和 TNFAIP3。心血管和代谢疾病基因,包括 APOC1、ACLY、ELOVL6、FASN 和 SCD,在与 TNFa 处理无关的模块中过表达。在确定的 223 个低甲基化区域中,几个位于自身免疫性疾病 GWAS 基因座(ARID5B、CD69、HDAC9、IL7R、TNIP1 和 TRAF1)的启动子中。结果揭示了内皮细胞中协同作用的特定基因群,描绘了由 TNFa 驱动的基因,并建立了它们与 DNA 甲基化变化的关系,这对理解疾病病因和精准医疗方法具有重要意义。