孟德尔随机化
医学
冲程(发动机)
随机化
缺血性中风
内科学
甲状腺功能不全
蛋白质组学
生物信息学
临床试验
甲状腺
心脏病学
基因
生物
遗传学
缺血
基因型
遗传变异
工程类
机械工程
作者
Hongxia Li,Yingying Han,Hongxiang Yu,Lufeng Wang,Can Cui,Lingting Jin,Meng‐Ru Ge,Xue Gao,Gang Li,Yongbo Hu,Bei Zhang
摘要
Abstract Acute ischemic stroke (AIS) is characterized by high morbidity and mortality, making it crucial to identify the risk factors that influence its occurrence and prognosis. Although individuals with thyroid dysfunction exhibit altered stroke patterns, evidence from observational studies remains inconsistent. Herein, we investigated the influence of thyroid dysfunction on stroke progression and prognosis. We combined Mendelian randomization (MR) and tandem mass tag (TMT)‐based quantitative proteomics analysis to study the influence of thyroid dysfunction on AIS. Differentially expression proteins (DEPs) were subsequently identified, functional enrichment analysis was performed, and a protein–protein interaction (PPI) network was constructed. Protein alterations were further validated by western blot. MR analysis revealed a causal association between thyroid disorders and ischemic stroke. DEP analysis identified 38 downregulated proteins and five upregulated proteins. Functional enrichment analysis and PPI network construction highlighted the importance of immune response activation and acute phase pathways, along with the suppression of focal adhesion, regulation of the actin cytoskeleton, and platelet activation pathways. Vasodilator‐stimulated phosphoprotein, MYL12B, MYL6, and TPM4 were identified as key DEPs significantly associated with pathological pathways and were verified by western blot. The identification of these key proteins and pathways provides new perspectives for investigating the progression and prognosis of AIS.
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