Combined Analysis of Human and Experimental Rat Samples Identified Biomarkers for Ischemic Stroke

The genetic transcription profile and underlying molecular mechanisms of ischemic stroke (IS) remain elusive. To address this issue, four mRNA and one miRNA expression profile of rats with middle cerebral artery occlusion (MCAO) were acquired from the Gene Expression Omnibus (GEO) database. A total of 780 differentially expressed genes (DEGs) and 56 miRNAs (DEMs) were screened. Gene set and functional enrichment analysis revealed that a substantial number of immune-inflammation-related pathways were abnormally activated in IS. Through weighted gene co-expression network analysis, the turquoise module was identified as meaningful. By taking the intersection of the turquoise module genes, DEM-target genes, and all DEGs, 354 genes were subsequently obtained as key IS-related genes. Among them, six characteristic genes were identified using the least absolute shrinkage and selection operator. After validation with three external datasets, transforming growth factor beta 1 (Tgfb1) was selected as the hub gene. This finding was further confirmed by gene expression pattern analysis in both the MCAO model rats and clinical IS patients. Moreover, the expression of the hub genes exhibited a negative correlation with the modified Rankin scale score (P < 0.05). Collectively, these results expand our knowledge of the genetic profile and molecular mechanisms involved in IS and suggest that the Tgfb1 gene is a potential biomarker of this disease.

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Publication Details

Journal
Molecular Neurobiology
Published
2024-09-26
DOI
https://doi.org/10.1007/s12035-024-04512-x
Citations
2
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
0.49

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article

Combined Analysis of Human and Experimental Rat Samples Identified Biomarkers for Ischemic Stroke

Xiaolu Li, Jianmin Chen, Jun Ni, Qingfa Chen et al.
2 citations
Molecular Neurobiology
Neuroinflammation and Neurodegeneration Mechanisms
0.49
article

Combined Analysis of Human and Experimental Rat Samples Identified Biomarkers for Ischemic Stroke

Xiaolu Li, Jianmin Chen, Jun Ni, Qingfa Chen, Ye Yang
article en
2 citations

Abstract

The genetic transcription profile and underlying molecular mechanisms of ischemic stroke (IS) remain elusive. To address this issue, four mRNA and one miRNA expression profile of rats with middle cerebral artery occlusion (MCAO) were acquired from the Gene Expression Omnibus (GEO) database. A total of 780 differentially expressed genes (DEGs) and 56 miRNAs (DEMs) were screened. Gene set and functional enrichment analysis revealed that a substantial number of immune-inflammation-related pathways were abnormally activated in IS. Through weighted gene co-expression network analysis, the turquoise module was identified as meaningful. By taking the intersection of the turquoise module genes, DEM-target genes, and all DEGs, 354 genes were subsequently obtained as key IS-related genes. Among them, six characteristic genes were identified using the least absolute shrinkage and selection operator. After validation with three external datasets, transforming growth factor beta 1 (Tgfb1) was selected as the hub gene. This finding was further confirmed by gene expression pattern analysis in both the MCAO model rats and clinical IS patients. Moreover, the expression of the hub genes exhibited a negative correlation with the modified Rankin scale score (P < 0.05). Collectively, these results expand our knowledge of the genetic profile and molecular mechanisms involved in IS and suggest that the Tgfb1 gene is a potential biomarker of this disease.

Molecular NeurobiologyVol. 62(3)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN), Union Hospital (CN)
National Natural Science Foundation of China, Guangxi Medical University
Good health and well-being
Openalex Percentile: Top 34%
Neuroinflammation and Neurodegeneration Mechanisms
0.49
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