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脂蛋白和脂质新陈代谢的个性化分析基于1018个来自组合定量NMR和LC-MS/MS平台的测量结果
Siyu Zhao1,2,3, Corey Giles4,5, Kevin Huynh4,5
1Systems Epidemiology, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland.
Analytical chemistry
|December 16, 2024
概括
这项研究结合了来自7830个人的NMR和LC-MS/MS omics数据,揭示了与心脏代谢风险因素的分子联系. 这些发现为人口健康和疾病风险分层提供了新的见解.
科学领域:
- 生物医学研究的研究.
- 分子流行病学分子流行病学
- 人口健康 人口健康
背景情况:
- 先进的奥米克学方法在生物医学中至关重要,但在大规模的临床研究中往往是孤立的.
- 整合多种omics技术对于全面理解和临床翻译至关重要.
研究的目的:
- 提出第一个大规模的人口数据,结合定量NMR光谱和LC-MS/MS脂管学.
- 在两个队列 (7830名参与者) 中分析了1018个分子测量,以了解脂质运输系统及其与健康的关系.
主要方法:
- 定量核磁共振 (NMR) 谱学用于脂蛋白测量.
- 量化液体染色学-双重质谱法 (LC-MS/MS) 用于脂类和物种.
- 协会,集群分析和无监督神经网络 (自我组织地图) 分析.
主要成果:
- 在NMR和LC-MS/MS数据域之间观察到出色的连贯性和定量兼容性.
- 阐明了脂质运输系统的详细分子特征和组成关系.
- 数据驱动的子组显示出明显的心脏代谢风险因子分布,包括脂质,阿波利波蛋白B,胺和氧化脂质.
结论:
- 组合的奥米克数据为人口研究提供了前所未有的分子细节.
- 甘油三和胆固醇类物种与心脏代谢风险和动脉样硬化有复杂的关联.
- 这种综合方法为分子流行病学和个性化风险评估提供了新的途径.
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