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探索婴儿痉挛综合征:采用数据非依赖性采集方法的血浆蛋白质组学分析。

Exploring Infantile Epileptic Spasm Syndrome: A Proteomic Analysis of Plasma Using the Data-Independent Acquisition Approach.

机构信息

Epilepsy Center and Department of Neurology, Shenzhen Children's Hospital, Shenzhen 518000 Guangdong, China.

Shenzhen Pediatrics Institute of Shantou University Medical College, Shenzhen 518000 Guangdong, China.

出版信息

J Proteome Res. 2024 Oct 4;23(10):4316-4326. doi: 10.1021/acs.jproteome.4c00298. Epub 2024 Jun 10.

Abstract

This study aimed to identify characteristic proteins in infantile epileptic spasm syndrome (IESS) patients' plasma, offering insights into potential early diagnostic biomarkers and its underlying causes. Plasma samples were gathered from 60 patients with IESS and 40 healthy controls. Data-independent acquisition proteomic analysis was utilized to identify differentially expressed proteins (DEPs). These DEPs underwent functional annotation through Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Gene set enrichment analysis (GSEA) was employed for both GO (GSEA-GO) and KEGG (GSEA-KEGG) analyses to examine the gene expression profiles. Receiver operating characteristic (ROC) curves assessed biomarkers' discriminatory capacity. A total of 124 DEPs were identified in IESS patients' plasma, mainly linked to pathways, encompassing chemokines, cytokines, and oxidative detoxification. GSEA-GO and GSEA-KEGG analyses indicated significant enrichment of genes associated with cell migration, focal adhesion, and phagosome pathways. ROC curve analysis demonstrated that the combination of PRSS1 and ACTB, PRSS3, ACTB, and PRSS1 alone exhibited AUC values exceeding 0.7. This study elucidated the significant contribution of cytokines, chemokines, oxidative detoxification, and phagosomes to the IESS pathogenesis. The combination of PRSS1 and ACTB holds promise as biomarkers for the early diagnosis of IESS.

摘要

本研究旨在鉴定婴儿痉挛综合征(IESS)患者血浆中的特征性蛋白,以期发现潜在的早期诊断生物标志物及其潜在病因。收集了 60 例 IESS 患者和 40 例健康对照者的血浆样本。采用非依赖性采集蛋白质组学分析方法鉴定差异表达蛋白(DEPs)。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析对这些 DEPs 进行功能注释。采用基因集富集分析(GSEA)对 GO(GSEA-GO)和 KEGG(GSEA-KEGG)分析进行基因表达谱分析。接收者操作特征(ROC)曲线评估生物标志物的区分能力。在 IESS 患者的血浆中鉴定出了 124 个 DEPs,这些蛋白主要与趋化因子、细胞因子和氧化解毒等通路相关。GSEA-GO 和 GSEA-KEGG 分析表明,与细胞迁移、黏附斑和吞噬体等通路相关的基因显著富集。ROC 曲线分析表明,PRSS1 和 ACTB、PRSS3、ACTB 和 PRSS1 联合检测的 AUC 值超过 0.7。本研究阐明了细胞因子、趋化因子、氧化解毒和吞噬体在 IESS 发病机制中的重要作用。PRSS1 和 ACTB 的联合检测有望成为 IESS 早期诊断的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a90/11459594/56d9fda5b177/pr4c00298_0001.jpg

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