Hsa-miR-877-5p Expression in Acute Ischemic Stroke Based on Bioinformatics Analysis and Clinical Validation.
Si-Shuo ZhangJi-Wei ZhangKai-Xin ZhangWen-Qiang CuiHong-Wei ZhiHai-Tao LiHong-Yun WuYa-Han WangPublished in: Molecular neurobiology (2023)
Inflammation and immunity play important roles in the pathogenesis of ischemic stroke. This study aimed to explore key regulatory genes in acute ischemic stroke (AIS) and their underlying mechanisms to provide new research targets for the diagnosis and treatment of ischemic stroke. We searched for differentially expressed mRNAs and miRNAs in patients with AIS and healthy populations in GEO databases, constructed a miRNA-mRNA network, and screened key miRNAs using least absolute shrinkage and selection operator regression and the support vector machine-recursive feature elimination model. Correlations between key miRNAs and infiltrating immune cells and inflammatory factors were analyzed using CIBERSORT and immunoassays and verified using clinical experiments. Bioinformatics analysis identified hsa-miR-877-5p as a key regulatory miRNA in AIS that can modulate immune and inflammatory responses. In clinical studies, it was verified by quantitative PCR analysis that the expression of hsa-miR-877-5p in the blood of AIS patients was higher than that of the healthy group. Then, enzyme-linked immunosorbent assay revealed that the expression of IL-23 and TNF-α related to inflammation in AIS patients was higher than that of the healthy. Quantitative PCR further found that the relative mRNA expression of IL-23, CXCR3, and TNF-α in AIS group was higher than that of the healthy group. This study may provide a basis for a more comprehensive understanding of the potential mechanism of the occurrence and development of AIS, and hsa-miR-877-5p and its downstream effectors IL-23, CXCR3, and TNF-α may be potential intervention targets in AIS.
Keyphrases
- bioinformatics analysis
- poor prognosis
- end stage renal disease
- oxidative stress
- ejection fraction
- rheumatoid arthritis
- newly diagnosed
- risk assessment
- binding protein
- transcription factor
- peritoneal dialysis
- prognostic factors
- high resolution
- deep learning
- single cell
- human health
- wastewater treatment
- high throughput
- patient reported outcomes
- gene expression
- genome wide
- network analysis