一种网络医学方法来研究心力衰竭中的并发症,使用保存的喷射分数
Jan D Lanzer1,2,3,4, Alberto Valdeolivas5, Mark Pepin6,7
1Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Bioquant, Heidelberg, Germany. jan.lanzer@bioquant.uni-heidelberg.de.
BMC medicine
|July 24, 2023
概括
系统医学揭示了心力衰竭与保留喷射分数 (HFpEF) 和心力衰竭与减少喷射分数 (HFrEF) 的不同的并发症概况. 这种方法确定了HFpEF的新型候选基因,有可能改善诊断和治疗目标.
科学领域:
- 心脏病学 心脏病学
- 系统医学 系统医学
- 遗传学 是一个遗传学.
背景情况:
- 伴随性疾病显著影响心力衰竭 (HF) 病理生理学,特别是在心力衰竭中,心力衰竭具有保存的喷射分数 (HFpEF).
- 传统分析往往过于简化了复杂的并发症概况,限制了对HFpEF的理解.
- 系统医学提供了一种全面的方法来模拟整个现象的并发症模式.
研究的目的:
- 通过系统医学方法来描述HFpEF和HFrEF的不同并发症概况.
- 通过网络分析识别与HFpEF相关的新型候选基因.
- 利用常规临床数据改善HFpEF诊断和治疗标识.
主要方法:
- 在29,047名HF患者 (HFpEF,HFrEF) 中对569种并发病的回顾性分析.
- 多重对应分析和机器学习来区分HF亚型的并发病概况.
- 构建一个并发症网络 (HFnet) 并与基因网络集成,以预测HFpEF候选基因.
- 使用小鼠HFpEF模型和转录基因数据验证候选基因.
主要成果:
- 在HFpEF和HFrEF之间的并发症概况中存在显著的差异,HFpEF表现出更多样化的并发症 (新发性,骨质,类风湿).
- 在HFnet中,确定了具有HF亚型,年龄组和性别特征的疾病集群.
- 预测的HFpEF候选基因参与纤维化,高化,氧化应激和内质网膜应激.
- 预测的基因与小鼠HFpEF疾病特征显著重叠.
结论:
- 系统医学有效地描述了HF患者队列,并确定了不同的HFpEF并发病概况.
- 网络传播发现了HFpEF的新型候选基因.
- 从临床数据中获得的明显的并发症概况和候选基因为改进HFpEF诊断和治疗策略提供了潜力.
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