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中风中的代谢和免疫异质性:对亚型识别和生物标志物发现的见解。

Metabolic and immune heterogeneity in stroke: Insights into subtype identification and biomarker discovery.

作者信息

Wang Wei, Qian Qiuyang, Guo Ziye, Lin Fangyi, Lin Weiming, Yuan Zhigang, Shen Mei

机构信息

Rehabilitation Medicine Department, Shenzhen Longhua District People's Hospital, Shenzhen, China.

Department of Critical Care Medicine, Shenzhen Longhua District People's Hospital, Shenzhen, China.

出版信息

PLoS One. 2025 May 21;20(5):e0323172. doi: 10.1371/journal.pone.0323172. eCollection 2025.

DOI:10.1371/journal.pone.0323172
PMID:40397919
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12094752/
Abstract

Stroke is a leading cause of mortality and long-term disability worldwide, characterized by substantial molecular and clinical heterogeneity. This study aimed to investigate the metabolic and immune-related mechanisms underlying stroke subtypes using transcriptomic data and advanced computational tools. Gene expression data from two GEO datasets (GSE16561 and GSE58294) were preprocessed, batch-corrected, and integrated. Consensus clustering based on 2,752 metabolism-related genes identified three distinct subtypes with significant differences in metabolic activity. GSVA analysis revealed subtype-specific variations in key pathways, such as the citrate cycle, glycolysis, and glycosaminoglycan biosynthesis, highlighting their metabolic diversity.

摘要

中风是全球范围内导致死亡和长期残疾的主要原因,其特点是存在大量分子和临床异质性。本研究旨在利用转录组数据和先进的计算工具,研究中风亚型背后的代谢和免疫相关机制。对来自两个GEO数据集(GSE16561和GSE58294)的基因表达数据进行了预处理、批次校正和整合。基于2752个代谢相关基因的一致性聚类识别出三种不同的亚型,它们在代谢活性方面存在显著差异。GSVA分析揭示了关键途径(如柠檬酸循环、糖酵解和糖胺聚糖生物合成)中的亚型特异性变化,突出了它们的代谢多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/1e2fd62105ac/pone.0323172.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/1e2fd62105ac/pone.0323172.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/12a8af141122/pone.0323172.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/31f242e37cd5/pone.0323172.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/972eba8706ce/pone.0323172.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/4584efb1c286/pone.0323172.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/31ec0007f65b/pone.0323172.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d0c/12094752/1e2fd62105ac/pone.0323172.g006.jpg

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Immunometabolism In Brain Aging and Neurodegeneration: Bridging Metabolic Pathways and Immune Responses.脑衰老和神经退行性变中的免疫代谢:连接代谢途径与免疫反应
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The effectiveness of theta burst stimulation for motor recovery after stroke: a systematic review.
经颅磁刺激治疗脑卒中后运动功能恢复的疗效:系统评价。
Eur J Med Res. 2024 Nov 29;29(1):568. doi: 10.1186/s40001-024-02170-2.
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Predicting 3-month poor functional outcomes of acute ischemic stroke in young patients using machine learning.使用机器学习预测年轻急性缺血性脑卒中患者 3 个月的不良功能结局。
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Using clusterProfiler to characterize multiomics data.使用 clusterProfiler 对多组学数据进行特征分析。
Nat Protoc. 2024 Nov;19(11):3292-3320. doi: 10.1038/s41596-024-01020-z. Epub 2024 Jul 17.
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