Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network analysis and circRNA-miRNA-mRNA regulatory network analysis.
Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network analysis and circRNA-miRNA-mRNA regulatory network analysis.
复制标题
与术后房颤相关的基因模块和基因:加权基因共表达网络分析和circRNA-miRNA-mRNA调控网络分析
DOI:
10.21037/jtd-23-1179
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发表时间:
2023-09-28
影响因子:
2.5
通讯作者:
中科院分区:
文献类型:
--
作者:
Background Atrial fibrillation (AF) is the most common complication in patients undergoing cardiac surgery. However, the pathogenesis of postoperative AF (POAF) is elusive, and research related to this topic is sparse. Our study aimed to identify key gene modules and genes and to conduct a circular RNA (circRNA)-microRNA (miRNA)-messenger RNA (mRNA) regulatory network analysis of POAF on the basis of bioinformatic analysis. Methods The GSE143924 and GSE97455 data sets from the Gene Expression Omnibus (GEO) database were analyzed. Weighted gene co-expression network analysis (WGCNA) was used to identify the key gene modules and genes related to POAF. A circRNA-miRNA-mRNA regulatory network was also built according to differential expression analysis. Functional enrichment analysis was further performed according to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Results WGCNA identified 2 key gene modules and 44 key genes that were significantly related to POAF. Functional enrichment analysis of these key genes implicated the following important biological processes (BPs): endosomal transport, protein kinase B signaling, and transcription regulation. The circRNA-miRNA-mRNA regulatory network suggested that KLF10 may take critical part in POAF. Moreover, 2 novel circRNAs, hsa_circRNA_001654 and hsa_circRNA_005899, and 2 miRNAs, hsa-miR-19b-3p and hsa-miR-30a-5p, which related with KLF10, were involved in the network. Conclusions Our study provides foundational expression profiles following POAF based on WGCNA. The circRNA-miRNA-mRNA network offers insights into the BPs and underlying mechanisms of POAF.
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影响因子:
3.7
作者:
通讯作者:
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影响因子:
30.8
作者:
Nielsen JB;Thorolfsdottir RB;Fritsche LG;Zhou W;Skov MW;Graham SE;Herron TJ;McCarthy S;Schmidt EM;Sveinbjornsson G;Surakka I;Mathis MR;Yamazaki M;Crawford RD;Gabrielsen ME;Skogholt AH;Holmen OL;Lin M;Wolford BN;Dey R;Dalen H;Sulem P;Chung JH;Backman JD;Arnar DO;Thorsteinsdottir U;Baras A;O'Dushlaine C;Holst AG;Wen X;Hornsby W;Dewey FE;Boehnke M;Kheterpal S;Mukherjee B;Lee S;Kang HM;Holm H;Kitzman J;Shavit JA;Jalife J;Brummett CM;Teslovich TM;Carey DJ;Gudbjartsson DF;Stefansson K;Abecasis GR;Hveem K;Willer CJ
通讯作者:
Willer CJ
影响因子:
4.7
作者:
Yu W;Liu F;Lei Q;Wu P;Yang L;Zhang Y
通讯作者:
Zhang Y
影响因子:
5.5
作者:
通讯作者:
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DOI:
10.1093/europace/eur208
发表时间:
2012-02
期刊:
Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
影响因子:
--
作者:
Maesen B;Nijs J;Maessen J;Allessie M;Schotten U
通讯作者:
Schotten U