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健康饮食模式的蛋白质组学特征与较低的主要慢性病风险和死亡率相关。

Proteomic signatures of healthy dietary patterns are associated with lower risks of major chronic diseases and mortality.

作者信息

Zhu Kai, Li Rui, Yao Pang, Yu Hancheng, Pan An, Manson JoAnn E, Rimm Eric B, Willett Walter C, Liu Gang

机构信息

Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

出版信息

Nat Food. 2025 Jan;6(1):47-57. doi: 10.1038/s43016-024-01059-x. Epub 2024 Sep 27.

Abstract

Healthy dietary patterns have been linked to a decreased risk of chronic diseases. However, it remains uncertain whether proteomic signatures can reflect proteome response to healthy diet patterns, and whether these proteomic signatures are associated with health outcomes. Using data from the UK Biobank including Olink plasma proteins, we identified substantial proteomic variation in relation to adherence to eight healthy dietary patterns. The proteomic signatures, reflecting adherence and proteome response to healthy dietary patterns, were prospectively associated with lower risks of diabetes, cardiovascular diseases, chronic respiratory diseases, chronic kidney diseases and cancers, along with longer life expectancy, even after adjusting for corresponding dietary patterns. These findings suggest proteomic signatures have the potential to complement traditional dietary assessments and deepen our understanding of the relationships between dietary patterns and chronic diseases.

摘要

健康的饮食模式与慢性病风险降低有关。然而,蛋白质组特征是否能够反映蛋白质组对健康饮食模式的反应,以及这些蛋白质组特征是否与健康结果相关,仍不确定。利用来自英国生物银行的数据,包括Olink血浆蛋白,我们发现了与遵循八种健康饮食模式相关的大量蛋白质组变异。这些反映对健康饮食模式的遵循情况和蛋白质组反应的蛋白质组特征,即使在对相应饮食模式进行调整后,也与糖尿病、心血管疾病、慢性呼吸道疾病、慢性肾病和癌症的较低风险以及更长的预期寿命存在前瞻性关联。这些发现表明,蛋白质组特征有可能补充传统的饮食评估,并加深我们对饮食模式与慢性病之间关系的理解。

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