Identification and Validation of Phagocytosis‐Regulating Factors as Potential Prognostic and Diagnostic Biomarkers for Intracerebral Hemorrhage Through Single‐Cell and Bulk Transcriptomic

转录组 竞争性内源性RNA 小RNA 免疫系统 诊断生物标志物 计算生物学 基因 生物 生物标志物 脑出血 生物信息学 基因表达 疾病 电池类型 细胞 基因表达谱 医学 基因表达调控 生物标志物发现 基因调控网络 小胶质细胞 特雷姆2 核糖核酸 表型 生存分析 免疫学
作者
Qianwei Li,Qiongyi Qiu
出处
期刊:The FASEB Journal [Wiley]
卷期号:39 (23): e71302-e71302
标识
DOI:10.1096/fj.202502582rr
摘要

Intracerebral hemorrhage (ICH) is a major cause of death and disability worldwide. Despite treatment advances, reliable prognostic biomarkers are still lacking. While phagocytosis regulation is implicated in ICH pathogenesis, its potential for diagnosis and prognosis remains underexplored. Identifying phagocytic regulatory factors-related genes (PRGs) as biomarkers could provide new insights into ICH. We used multiple datasets from the Gene Expression Omnibus (GEO) database to investigate the role of phagocytic regulatory factors in ICH. We performed Gene Set Variation Analysis (GSVA) on transcriptomic data to evaluate phagocytic regulation in ICH tissues. Single-cell RNA sequencing (scRNA-seq) was used to explore cell-specific PRGs' activity. We then used machine learning for feature selection. Immunoinfiltration levels were assessed using the CIBERSORT algorithm. The biological functions of identified biomarkers were further analyzed through Gene Set Enrichment Analysis (GSEA) and a competing endogenous RNA (ceRNA) network was constructed to reveal interactions between mRNAs, miRNAs, and lncRNAs. GSVA analysis revealed significantly elevated phagocytic regulatory activity in ICH compared to normal brain tissues. Using machine learning methods, four key biomarkers-ANXA2, ANXA5, MGAT1, and VASP-were identified as potential biomarkers with diagnostic and prognostic relevance in ICH. Immunoinfiltration analysis showed a correlation between immune cell infiltration and the identified biomarkers. GSEA highlighted the involvement of these biomarkers in various biological processes. Additionally, the ceRNA network uncovered complex regulatory interactions, where miRNAs and lncRNAs modulated the expression of the identified biomarkers. The four biomarkers offer promising candidates for early detection and may also provide insights into prognosis during post-ICH recovery. These biomarkers are linked to immune cell infiltration and phagocytic regulation, offering new insights into ICH pathogenesis and potential therapeutic targets.
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