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综合生物信息学分析鉴定和验证肾缺血再灌注损伤的潜在生物标志物。

Identification and Verification of Potential Biomarkers in Renal Ischemia-Reperfusion Injury by Integrated Bioinformatic Analysis.

机构信息

Institute of Organ Transplantation, Tongji Hospital, Key Laboratory of Organ Transplantation, Ministry of Education, NHC Key Laboratory of Organ Transplantation, Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

Biomed Res Int. 2023 Feb 2;2023:7629782. doi: 10.1155/2023/7629782. eCollection 2023.

Abstract

BACKGROUND

Renal ischemia-reperfusion injury (RIRI) plays an important role in the poor prognosis of patients with renal transplants. However, the potential targets and mechanism of IRI are still unclear.

METHOD

Differential gene expression (DEG) analysis and weighted correlation network analysis (WGCNA) were performed on the GSE27274 dataset. Pathway enrichment analysis on the DEGs was performed. To identify the hub DEGs, we constructed a protein-protein interaction (PPI) network. Finally, the hub genes were verified, and candidate drugs were screened from the DsigDB database.

RESULTS

A hundred DEGs and four hub genes (, , , and ) were screened out. Pathway enrichment analysis revealed that 100 DEGs were mainly enriched in apoptosis and the TNF signaling pathway. The four hub genes were verified in animal models and another dataset (GSE148420). Thereafter, a PPI network was used to identify the four hub genes (, , , and ). Finally, eight candidate drugs were identified as potential drugs.

CONCLUSION

Three hub genes (, , and ) were associated with RIRI and could be potential novel biomarkers for RIRI.

摘要

背景

肾缺血再灌注损伤(RIRI)在肾移植患者预后不良中起重要作用。然而,IRI 的潜在靶点和机制尚不清楚。

方法

对 GSE27274 数据集进行差异基因表达(DEG)分析和加权相关网络分析(WGCNA)。对 DEGs 进行通路富集分析。为了鉴定枢纽 DEGs,我们构建了蛋白质-蛋白质相互作用(PPI)网络。最后,从 DsigDB 数据库中筛选出候选药物。

结果

筛选出 100 个 DEG 和 4 个枢纽基因(、、、和)。通路富集分析显示,100 个 DEG 主要富集在凋亡和 TNF 信号通路中。在动物模型和另一个数据集(GSE148420)中验证了这 4 个枢纽基因。之后,使用 PPI 网络鉴定了这 4 个枢纽基因(、、、和)。最后,确定了 8 种候选药物作为潜在药物。

结论

3 个枢纽基因(、、和)与 RIRI 相关,可能是 RIRI 的潜在新型生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4879/9911259/9702469c1fd9/BMRI2023-7629782.001.jpg

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