Screening of potential biomarkers in propofol-induced neurotoxicity via bioinformatics prediction and experimental verification
To identify hub genes and biological processes of propofol-induced neurotoxicity and promote the development of pediatric anesthesiology. We downloaded the GSE106799 dataset from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened, then Kyoto Encyclopedia of Gen...
Gespeichert in:
Veröffentlicht in: | American journal of translational research 2024, Vol.16 (3), p.755-767 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | To identify hub genes and biological processes of propofol-induced neurotoxicity and promote the development of pediatric anesthesiology.
We downloaded the GSE106799 dataset from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened, then Kyoto Encyclopedia of Genes and Genomes, Gene Ontology and Gene Set Enrichment analyses were performed on all DEGs. We identified potential ferroptosis genes in the pathogenesis of propofol-induced neurotoxicity. A key module was obtained after performing weighted gene co-expression network analysis (WGCNA) on the GSE106799 dataset. Hub genes were identified after the least absolute shrinkage and selection operator (LASSO) regression analysis of the intersection of DEGs and genes from the key module. We established a competing endogenous RNA network and predicted potential drugs according to the hub genes. Total RNA and proteins were extracted for real-time quantitative polymerase chain reaction and Western blotting, respectively.
A total of 112 DEGs, including 76 upregulated and 36 downregulated ones were screened out. Propofol-induced neurotoxicity involved processes such as nervous system development, activation of JAK/STAT and MAPK signaling pathways, vascular regeneration, and oxidative stress. The results of WGCNA suggested that the tan module was the most strongly associated with propofol-induced neurotoxicity. We identified 4 hub genes (
) after LASSO regression analysis. Animal experiments demonstrated that propofol caused overexpression of the protein levels of
and inflammatory factors in the brain, as well as the mRNA levels of
and
. Propofol inhibited expression of
at mRNA and protein levels.
Previous studies have demonstrated that
and
play a role in intellectual development, neuroinflammation and neuronal differentiation. These hub genes may help us to find new preventive and therapeutic targets for propofol-induced neurotoxicity. |
---|---|
ISSN: | 1943-8141 1943-8141 |
DOI: | 10.62347/MTAY7931 |