通过生物信息学分析探索缺血性中风和阻塞性睡眠呼吸暂停的常见生物标志物
Zhe Wu1, Yutong Qian2, Yaxin Shang3
1Rehabilitation Department, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, P.R. China.
PloS one
|October 30, 2024
概括
研究人员确定了两个常见的基因TM9SF2和CCL8,它们将阻塞性睡眠呼吸暂停 (OSA) 和缺血性中风 (IS) 联系起来. 使用这些基因的诊断模型可以预测OSA患者的IS风险,帮助早期干预.
科学领域:
- 基因组学就是基因组学.
- 翻译医学是一种翻译医学.
- 心血管研究研究心血管研究
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 经常在缺血性中风 (IS) 患者中观察到,这表明共享的潜在机制.
- 识别OSA和IS之间的遗传联系对于理解疾病并发症和开发有针对性的干预措施至关重要.
研究的目的:
- 在患有阻塞性睡眠呼吸暂停和缺血性中风的患者中识别共同的遗传因素.
- 开发一种预测诊断模型,用于评估阻塞性睡眠呼吸暂停患者的缺血性中风风险.
主要方法:
- 利用基因表达综合 (GEO) 数据集用于缺血性中风 (IS) 和阻塞性睡眠呼吸暂停 (OSA).
- 采用LIMA,加权基因共表达网络分析 (WGCNA) 和用于核心基因识别的机器学习.
- 开发并验证了使用 LASSO 回归和 ROC 曲线的诊断模型.
主要成果:
- 确定TM9SF2和CCL8是IS和OSA之间两个共同的基因.
- 在这两种条件下发现了七种常见的上调信号通路.
- 开发了一种具有优异预测价值的诊断模型,用于OSA患者的IS风险.
结论:
- TM9SF2和CCL8被确定为与IS和OSA共同的免疫相关核心基因.
- 开发的诊断模型显示了在阻塞性睡眠呼吸暂停患者中预测缺血性中风风险的潜力.
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