Identification of key genes and metabolites in acute ischemic stroke via integrated transcriptomic and metabolomic analysis

通过整合转录组学和代谢组学分析鉴定急性缺血性卒中中的关键基因和代谢物

阅读:1

Abstract

BACKGROUND: Acute ischaemic stroke (AIS) remains a leading cause of death and disability. This exploratory study integrated transcriptomic and metabolomic analyses to identify candidate hub genes and metabolites associated with AIS and to provide preliminary insights into its molecular mechanisms and potential therapeutic targets. METHODS: Metabolomic sequencing data were analyzed using orthogonal partial least squares discriminant analysis (OPLS-DA), together with multivariate and univariate analyses, to identify differentially expressed metabolites (DEMs). Differential gene expression analysis was performed using the GSE16561 dataset, and key genes were screened through protein-protein interaction network analysis, machine learning, expression validation, and diagnostic evaluation. Co-enrichment analysis of key genes and DEMs was then conducted, followed by immune infiltration analysis, molecular network construction, drug prediction, and RT-qPCR validation. RESULTS: A total of 103 and 51 DEMs were identified in the positive and negative ion modes, respectively, and were mainly enriched in steroid hormone biosynthesis. Five key genes-ITGAM, TLR4, MMP9, STAT3, and TLR2-were identified as significantly dysregulated in AIS and showed good diagnostic performance. RT-qPCR confirmed increased expression of TLR4, MMP9, and TLR2 in AIS, whereas ITGAM and STAT3 showed inverse trends. Joint enrichment analysis indicated that key genes and DEMs were mainly involved in 30 pathways, including the HIF-1 and FoxO signaling pathways. Immune infiltration analysis showed that ITGAM had the strongest negative correlation with memory B cells (p < 0.01, r = -0.39). In the clinical metabolomics cohort, 10 AIS patients and 10 non-stroke controls were included. AIS patients were 70.0% male (7/10) with a mean age of 65.70 ± 6.48 years, while controls were 60.0% male (6/10) with a mean age of 66.64 ± 7.18 years. Blood samples were obtained within 24 h of stroke onset. Stroke subtypes included large artery atherosclerosis (n = 3), cardioembolism (n = 5), and small artery occlusion (n = 2). None of the patients underwent intravenous thrombolysis or mechanical thrombectomy, all received standard medical treatment for AIS. In addition, 28 candidate drugs, including paregoric and celecoxib, were predicted. CONCLUSION: This exploratory study identified candidate hub genes and metabolites associated with AIS and highlighted their related pathways, immune features, molecular networks, and candidate drugs. These findings provide preliminary insights into the molecular basis and potential therapeutic targets of AIS.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。