Screening for hypoxia-related biomarkers in ischemic stroke
10.19845/j.cnki.zfysjjbzz.2023.0145
- VernacularTitle:缺血性脑卒中缺氧相关生物标志物的筛选
- Author:
Yanbing HU
1
;
Kangmin HE
1
Author Information
1. Department of Neurosurgery,Kashi Prefecture Second People Hospital,Kashi 844000,China
- Publication Type:Journal Article
- Keywords:
Ischemic stroke;
Hypoxia;
Immune
- From:
Journal of Apoplexy and Nervous Diseases
2023;40(7):628-635
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the relationship between hypoxia-related genes and ischemic stroke,and to screen for molecular markers related to hypoxia. Methods First,GSE16561 and GSE58294 datasets and hypoxia-related gene sets were downloaded to screen for hypoxia-related differentially expressed genes. After functional annotation,these hypoxia-related differentially expressed genes were analyzed by the least absolute shrinkage and selection operator least absolute shrinkage and selection operator(LASSO) regression and support vector machine algorithm to screen for immune-related biomarkers,and differential immune cells were analyzed between the ischemic stroke group and the control group. Finally,transcription factors and miRNAs were predicted. Results A total of 13 hypoxia-related differentially expressed genes were screened,which were enriched mainly in the processes of glucose transmembrane transport,monosaccharide transmembrane transport,and mitophagy regulation. Based on the LASSO regression and support vector machine algorithm analyses,eight hypoxia-related biomarkers were identified,which were significantly correlated with most immune cells. Furthermore,the network of 209 transcription factors corresponding to 8 genes and 25 miRNAs corresponding to 6 genes were predicted. Conclusion Eight hypoxia-related biomarkers are identified,which may be used as potential therapeutic targets for inhibiting brain injury after stroke. In addition,glucose metabolism and immune mechanisms may play an important role in the occurrence and progression of ischemic stroke.
- Full text:20240616141425212930j.cnki.zfysjjbzz.2023.0145.pdf
