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DUSP6 protein action and related hub genes prevention of sepsis-induced lung injury were screened by WGCNA and Venn.

Authors :
Song C
Wang L
Zhang F
Lv C
Meng M
Wang W
Zhou W
Source :
International journal of biological macromolecules [Int J Biol Macromol] 2024 Aug 27; Vol. 279 (Pt 1), pp. 135117. Date of Electronic Publication: 2024 Aug 27.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

During a sepsis infection, the lung is extremely susceptible to damage. A condition known as acute respiratory distress syndrome (ARDS) may develop in extreme circumstances. The primary objective of this research is to identify important genes that are related with both sepsis and lung injury. These genes have the potential to act as novel biomarkers in the investigation of sepsis-induced lung injury prevention strategies. It was possible to download from GEO data both the sepsis-related dataset (GSE64457) and the lung injury-related dataset (GSE40839). In the GSE64457 dataset, using the "limma" package in R revealed 429 differentially expressed genes (DEGs) with logFC values more than or equal to -1 and p values <0.05. There were 266 genes that were up-regulated and 163 genes that were down-regulated. Through the use of Gene Ontology (GO), it was discovered that the majority of the DEGs were associated with the inflammatory response (BP terms), a particular granule lumen (CC terms), and protein binding (MF terms). By doing a pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG), researchers were able to identify DEGs that were mostly associated with the NOD-like receptor signalling pathway, the TNF signalling pathway, and Epstein-Barr virus infection. Within the GSE40839 dataset, Weighted Gene Co-Expression Network Analysis (WGCNA) yielded a total of 7 modules, from which it was possible to screen out 2 critical modules and 693 key genes. The important genes and DEGs were both subjected to a Venn analysis. Finally, 14 genes that overlapped (ARL4A, LAIR1, MTHFD2, TSPAN13, DUSP6, PECR, CBS, TES, ASNS, SYNE1, FGF13, LCN2, KLF10, BCAT1) were closely associated to the incidence and development of sepsis-induced lung injury. This indicates that these genes are the essential genes to avoid the occurrence of sepsis-induced lung injury. This study provides novel strategies for preventing lung harm brought on by sepsis.<br />Competing Interests: Declaration of competing interest The authors declare no competing interests.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-0003
Volume :
279
Issue :
Pt 1
Database :
MEDLINE
Journal :
International journal of biological macromolecules
Publication Type :
Academic Journal
Accession number :
39197622
Full Text :
https://doi.org/10.1016/j.ijbiomac.2024.135117