现象范围内的并发症网络分析揭示了肠道病变和肠道炎的临床风险模式
Yonghyun Nam1, Dong-Gi Lee1, Jakob Woerner1
1Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104 USA.
概括
系统性健康状况显著影响肠道病变和肠道炎的发展. 这项研究确定了四种不同的内型,揭示了各种并发症如何融合,增加肌疾病风险.
科学领域:
- 肌肉骨医学 肌肉骨医学
- 计算生物学 计算生物学
- 网络医学 网络医学
背景情况:
- 静脉病和静脉炎包括各种肌疾病,原因复杂.
- 了解系统性健康对其发病的影响是一个关键的挑战.
研究的目的:
- 分析大规模的电子健康记录,寻找与肠病相关的并发症.
- 为了识别有助于肌疾病风险的独特系统形状 (内型).
主要方法:
- 对英国生物银行参与者的电子健康记录进行了现象范围的并发症分析.
- 网络构建和集群 (UMAP,DBSCAN) 来定义内型.
- 基因分析分析以确定疾病进展轨迹.
主要成果:
- 确定了183种与未来肠道病症相关的疾病.
- 综合性并发症分为四种统一的内型:代谢性-精神体性,炎症性-多系统性,机械性-损伤性和与衰老干预相关的.
- 发现了常见的疾病轨迹,如代谢-感染-肌肉骨途径.
结论:
- 引入了一个框架,用于识别肠道病理中系统性多病症模式.
- 发现可解释的内型,用于个性化风险评估.
- 在肌肉骨疾病中为精准医学提供了基础.
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