Integrated Bioinformatics Analysis and Verification of Gene Targets for Myocardial Ischemia-Reperfusion Injury.
Integrated Bioinformatics Analysis and Verification of Gene Targets for Myocardial Ischemia-Reperfusion Injury.
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DOI:
10.1155/2022/2056630
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发表时间:
2022
影响因子:
--
通讯作者:
Chen, Jian
中科院分区:
文献类型:
--
作者:
Wang, Jianru;Li, Xiaohui;Peng, Guangcao;Fan, Genhao;Zhang, Mengmeng;Chen, Jian
Myocardial ischemia-reperfusion injury (MIRI) has become a thorny and unsolved clinical problem. The pathological mechanisms of MIRI are intricate and unclear, so it is of great significance to explore potential hub genes and search for some natural products that exhibit potential therapeutic efficacy on MIRI via targeting the hub genes. First, the differential expression genes (DEGs) from GSE58486, GSE108940, and GSE115568 were screened and integrated via a robust rank aggregation algorithm. Then, the hub genes were identified and verified by the functional experiment of the MIRI mice. Finally, natural products with protective effects against MIRI were retrieved, and molecular docking simulations between hub genes and natural products were performed. 230 integrated DEGs and 9 hub genes were identified. After verification, Emr1, Tyrobp, Itgb2, Fcgr2b, Cybb, and Fcer1g might be the most significant genes during MIRI. A total of 75 natural products were discovered. Most of them (especially araloside C, glycyrrhizic acid, ophiopogonin D, polyphyllin I, and punicalagin) showed good ability to bind the hub genes. Emr1, Tyrobp, Itgb2, Fcgr2b, Cybb, and Fcer1g might be critical in the pathological process of MIRI, and the natural products (araloside C, glycyrrhizic acid, ophiopogonin D, polyphyllin I, and punicalagin) targeting these hub genes exhibited potential therapeutic efficacy on MIRI. Our findings provided new insights to explore the mechanism and treatments for MIRI and revealed new therapeutic targets for natural products with protective properties against MIRI.
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影响因子:
9.3
作者:
Algoet, Michiel;Janssens, Stefan;Oosterlinck, Wouter
通讯作者:
Oosterlinck, Wouter
影响因子:
--
作者:
Li X;Ma N;Xu J;Zhang Y;Yang P;Su X;Xing Y;An N;Yang F;Zhang G;Zhang L;Xing Y
通讯作者:
Xing Y
影响因子:
11.1
作者:
O'Shea KM;Ananthakrishnan R;Li Q;Quadri N;Thiagarajan D;Sreejit G;Wang L;Zirpoli H;Aranda JF;Alberts AS;Schmidt AM;Ramasamy R
通讯作者:
Ramasamy R
影响因子:
3
作者:
Bader, GD;Hogue, CW
通讯作者:
Hogue, CW
DOI:
10.1007/978-1-60761-987-1_18
发表时间:
2011-01-01
期刊:
DATA MINING IN PROTEOMICS: FROM STANDARDS TO APPLICATIONS
影响因子:
--
作者:
Kohl, Michael;Wiese, Sebastian;Warscheid, Bettina
通讯作者:
Warscheid, Bettina