在基于人口的CHRIS研究中,代谢物和蛋白质与一般健康的关联
Essi Hantikainen1, Christian X Weichenberger2, Nikola Dordevic2
1Institute for Biomedicine, Eurac Research, Bolzano, Italy. essimarjatta.hantikainen@eurac.edu.
Scientific reports
|November 4, 2024
概括
研究人员确定了与整体健康和特定器官状况相关的关键代谢物和蛋白质. 血清素成为预测一般疾病的潜在生物标志物,为与年龄有关的疾病提供了新的见解.
科学领域:
- 生物标志物和奥米克.
- 衰老和发病率研究研究
- 人口健康研究 人口健康研究
背景情况:
- 确定健康轨迹的生物标志物对于了解与年龄相关的疾病至关重要.
- 多omics数据可以揭示健康和疾病的分子基础.
- 南蒂罗尔的合作健康研究 (CHRIS) 研究为人口健康研究提供了有价值的数据集.
研究的目的:
- 调查与一般健康状况和器官特定发病率相关的多组体 (代谢和蛋白质体) 签名.
- 探索omics标志物,一般健康和特定器官系统条件之间的相互连接.
- 识别潜在的新生物标志物来预测疾病发病率.
主要方法:
- 在CHRIS研究中分析了3,142名成年人的横截面代谢组和蛋白质组数据.
- 从血清和血样本中定量174种代谢物和148种蛋白质.
- 使用随机森林分类器进行奥米克特征识别和线性回归来分析与累积疾病评级表 (CIRS) 并发症指数 (CMI) 的关联.
主要成果:
- 确定了21种代谢物和10种蛋白质作为健康状况的重要预测因素,超越年龄.
- 证实了血清素和谷氨酸的独立于年龄的关联.
- 发现了与内分泌,心血管和病率的共享代谢物和蛋白质关联.
结论:
- 循环中的血清素是整体发病率的潜在新型预测因子.
- 多omics签名可以区分健康个体和患病的人.
- 这些发现有助于理解与年龄相关的发病率和器官特异性疾病的分子基础.
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