Mendelian Randomization and Transcriptome Analysis Identify Ischemic Stroke Biomarkers With Putative Relevance to Cerebrospinal Fluid.

Background: Circulating proteins have been associated with the pathogenesis of ischemic stroke (IS), yet its biomarkers remain underutilized. Using plasma protein GWAS data with putative relevance to CSF, this study integrated mendelian randomization (MR) and transcriptomics to identify potential IS...

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Publicado en:BioMed Research International Vol. 2026; pp. 1 - 14
Autores principales: Xiong, Jingwei, Zhang, Jie, Cheng, Xuemei, Zhou, Zhiqiang, Zhang, Lidong, Chen, Chunlong, Banerjee, Baisakhi
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 7/8/2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 7/8/2026
      vid: 2026
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/bmri/2880611
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        atl: Mendelian Randomization and Transcriptome Analysis Identify Ischemic Stroke Biomarkers With Putative Relevance to Cerebrospinal Fluid.
      aug:
        au:
          Xiong, Jingwei
          Zhang, Jie
          Cheng, Xuemei
          Zhou, Zhiqiang
          Zhang, Lidong
          Chen, Chunlong
          Banerjee, Baisakhi
        affil: Department of Anesthesiology, , Jinling Hospital, , Affiliated Hospital of Medical School, , Nanjing University, , Nanjing, Jiangsu, , China, nju.edu.cn
      sug:
        subj:
          Ischemic Stroke Familial and Genetic
          Biological Markers Blood
          Biological Markers Cerebrospinal Fluid
          Mendelian Randomization
          Transcriptomes
          Gene Expression Profiling
          Animal Studies
          Rats
          In Vivo Studies
          Descriptive Statistics
          ROC Curve
          Spearman's Rank Correlation Coefficient
          T-Tests
          Post Hoc Analysis
          Wilcoxon Rank Sum Test
          Confidence Intervals
          Data Analysis Software
          Individualized Medicine
          Bioinformatics
          Machine Learning
          Signal Transduction
          Calcium
          Genistein Therapeutic Use
          Pioglitazone Therapeutic Use
          Immunohistochemistry
          Reverse Transcriptase Polymerase Chain Reaction
      ab: Background: Circulating proteins have been associated with the pathogenesis of ischemic stroke (IS), yet its biomarkers remain underutilized. Using plasma protein GWAS data with putative relevance to CSF, this study integrated mendelian randomization (MR) and transcriptomics to identify potential IS biomarkers. Methods: A two‐sample MR analysis was undertaken to determine the genetic association between circulating protein levels and IS. The identification of differentially expressed genes (DEGs) in the GSE268634 and GSE262257 datasets was carried out via the transcriptomic analysis. Candidate biomarkers overlapping MR‐derived genes (MRGs) and DEGs underwent functional enrichment, protein‐protein interaction (PPI), and machine learning (LASSO/SVM‐RFE) screening. Biomarker mechanisms were assessed via gene set enrichment analysis (GSEA), immune infiltration, and hypothesis‐generating drug prediction. The validation included RT‐qPCR and immunohistochemistry in MCAO/R rats. Results: The MR analysis identified 157 circulating protein‐related MRGs with suggestive genetic associations with IS. Transcriptomics identified 4144 DEGs, and 46 overlapping with MRGs. Functional enrichment highlighted their roles in cell adhesion and immune responses. Machine learning identified six candidate biomarkers, among which CDH7, MGAT4C, and ITPKC exhibited both high diagnostic accuracy (AUC > 0.7) and consistently differential expression, and were therefore prioritized as putative biomarkers. GSEA revealed that CDH7 and MGAT4C were positively correlated, whereas ITPKC was negatively correlated with the calcium signaling pathway. Immune infiltration analysis showed that CDH7 and MGAT4C were negative, whereas ITPKC was positively correlated with immune cells. Computationally predicted drugs including genistein and pioglitazone may alleviate IS damage, though this requires experimental confirmation. RT‐qPCR and immunohistochemistry indicated markedly high CDH7 and MGAT4C expression, whereas low ITPKC expression was in MCAO/R rats. Conclusion: CDH7, MGAT4C, and ITPKC are genetically associated and transcriptionally altered candidates derived from circulating protein‐related analyses for IS, warranting further investigation.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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