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相关概念视频

Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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通过目标导向的子组识别在多主题研究中推导共识性败血症集群.

Zhongheng Zhang1,2,3, Lin Chen4, Hongjie Shen5

  • 1Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. zh_zhang1984@zju.edu.cn.

Nature communications
|November 24, 2025
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概括

这项研究引入了一种新的框架,用于使用多omics数据进行败血症患者分层. 它改善了治疗反应预测和生存结果,为重症监护中的精准医学铺平了道路.

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科学领域:

  • 关键护理医学 关键护理医学
  • 基因组学和系统生物学
  • 翻译生物信息学

背景情况:

  • 败血症表现出显著的异质性,使治疗复杂化,导致治疗结果差.
  • 目前使用单一omics或无监督集群的患者亚型方法缺乏可重现性和临床相关性.
  • 开发有效的败血症疗法受到不准确的患者分类的阻碍.

研究的目的:

  • 引入一个新的目标导向子组识别 (GD-SI) 框架,用于败血症患者分层.
  • 使用纵向多omics数据优化患者对差异性治疗反应的分类.
  • 为了实现精确的试验设计和个性化的败血症管理.

主要方法:

  • 从43家医院的1327名受试者获得的综合纵向多组数据 (转录组,蛋白组,代谢组,现象组).
  • 采用监督的多主题整合方法,以治疗效果优化为基础.
  • 在国际重症监护数据库 (MIMIC-IV,ZiGongDB) 中验证了框架的通用性.

主要成果:

  • 在患者子组发现中取得了实质性的跨原子一致性.
  • GD-SI成功预测了液体复苏和乌利纳斯治疗的差异性治疗反应.
  • 基于GD-SI益处得分的分层患者显示了显著的生存差异.
  • 外部验证证实了框架的预后概括性.

结论:

  • 该GD-SI框架将败血症的生物异质性与临床可行性相协调.
  • 这种方法提供了一个可扩展的基础设施,用于精确的试验设计和个性化的败血症管理.
  • 由Omics驱动的,以目标为导向的分层具有转化潜力,可以推进重症监护治疗.