蛋白质组学网络将饮食与心脏代谢风险因素联系起来:弗雷明汉心脏研究
Soyoung Lee1, Roby Joehanes2, Tianxiao Huan2
1Biochemical and Molecular Nutrition, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
The American journal of clinical nutrition
|December 3, 2025
概括
这项研究确定了链接饮食质量和心血管疾病 (CVD) 风险因素的蛋白质网络. 特定的蛋白质模块,如"深灰色",显示与饮食,BMI和发生脂肪肝的关联,有助于识别高风险个体.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 系统生物学 系统生物学
- 心血管疾病研究研究
背景情况:
- 高通量蛋白质组学可以识别饮食疾病路径.
- 一个挑战是确定生物过程中的功能性蛋白质单元.
研究的目的:
- 确定与饮食质量相关的蛋白质网络.
- 调查蛋白质网络与心血管疾病 (CVD) 风险因素之间的联系.
主要方法:
- 从740名参与者中对2651种血蛋白进行了权重基因联合表达网络分析.
- 评估了蛋白质模块与饮食方法停止高血压 (DASH) 饮食得分和BMI的关联.
- 检查了与发生性脂肪肝和2型糖尿病 (T2D) 的潜在关联,包括孟德尔随机化 (MR).
主要成果:
- 确定了39个蛋白质模块;四个与饮食和BMI有关.
- "深灰色"模块与较高的DASH分数,较低的BMI和发生脂肪肝 (OR 3.22) 相联系.
- 在MR分析中,在"深灰"模块中发现了3种假定因果蛋白对.
结论:
- 蛋白质组网络可能会将饮食和心血管疾病风险联系起来.
- 蛋白质组学对于识别干预高风险个体有价值.
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