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类风湿关节炎中免疫和炎症反应的表观遗传调控。

Epigenetic Regulation of Immune and Inflammatory Responses in Rheumatoid Arthritis.

机构信息

Department of Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China.

出版信息

Front Immunol. 2022 Apr 11;13:881191. doi: 10.3389/fimmu.2022.881191. eCollection 2022.

DOI:10.3389/fimmu.2022.881191
PMID:35479077
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9035598/
Abstract

PURPOSE

Rheumatoid arthritis (RA) is a disease associated with multiple factors. Epigenetics can affect gene expression without altering the DNA sequence. In this study, we aimed to comprehensively analyze epigenetic regulation in RA.

METHODS

Using the Gene Expression Omnibus database, we identified a methylation chip, RNA-sequencing, and miRNA microarray for RA. First, we searched for DNA methylation, genes, and miRNAs associated with RA using differential analysis. Second, we determined the regulatory networks for RA-specific methylation, miRNA, and m6A using cross-analysis. Based on these three regulatory networks, we built a comprehensive epigenetic regulatory network and identified hub genes.

RESULTS

Using a differential analysis, we identified 16,852 differentially methylated sites, 4877 differentially expressed genes, and 32 differentially expressed miRNAs. The methylation-expression regulatory network was mainly associated with the PI3K-Akt and T-cell receptor signaling pathways. The miRNA expression regulatory network was mainly related to the MAPK and chemokine signaling pathways. M6A regulatory network was mainly associated with the MAPK signaling pathway. Additionally, five hub genes were identified in the epigenetic regulatory network: , , , , and . Functional analysis revealed that these five genes were associated with immune cells and inflammatory responses.

CONCLUSION

We constructed a comprehensive epigenetic network associated with RA and identified core regulatory genes. This study provides a new direction for future research on the epigenetic mechanisms of RA.

摘要

目的

类风湿关节炎(RA)是一种与多种因素相关的疾病。表观遗传学可以在不改变 DNA 序列的情况下影响基因表达。在本研究中,我们旨在全面分析 RA 的表观遗传调控。

方法

使用基因表达综合数据库,我们鉴定了一个与 RA 相关的甲基化芯片、RNA 测序和 miRNA 微阵列。首先,我们使用差异分析搜索与 RA 相关的 DNA 甲基化、基因和 miRNA。其次,我们使用交叉分析确定 RA 特异性甲基化、miRNA 和 m6A 的调控网络。基于这三个调控网络,我们构建了一个综合的表观遗传调控网络,并鉴定了枢纽基因。

结果

通过差异分析,我们鉴定出 16852 个差异甲基化位点、4877 个差异表达基因和 32 个差异表达 miRNA。甲基化-表达调控网络主要与 PI3K-Akt 和 T 细胞受体信号通路有关。miRNA 表达调控网络主要与 MAPK 和趋化因子信号通路有关。M6A 调控网络主要与 MAPK 信号通路有关。此外,在表观遗传调控网络中鉴定出五个枢纽基因:、、、、和。功能分析表明,这五个基因与免疫细胞和炎症反应有关。

结论

我们构建了一个与 RA 相关的综合表观遗传网络,并鉴定出核心调控基因。本研究为 RA 的表观遗传机制的未来研究提供了新的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/610f2153f613/fimmu-13-881191-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/8d006da74c29/fimmu-13-881191-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/bc765da3d332/fimmu-13-881191-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/73ca852e83fc/fimmu-13-881191-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/610f2153f613/fimmu-13-881191-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/8d006da74c29/fimmu-13-881191-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/bc765da3d332/fimmu-13-881191-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/73ca852e83fc/fimmu-13-881191-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be67/9035598/610f2153f613/fimmu-13-881191-g004.jpg

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