Unprocessed Red Meat and Processed Meat Consumption, Plasma Metabolome, and Risk of Ischemic Heart Disease: A Prospective Cohort Study of UK Biobank

Author:

Dong Xue1ORCID,Zhuang Zhenhuang1,Zhao Yimin1ORCID,Song Zimin1ORCID,Xiao Wendi1ORCID,Wang Wenxiu1,Li Yueying1ORCID,Huang Ninghao1,Jia Jinzhu2ORCID,Liu Zhonghua3ORCID,Qi Lu45ORCID,Huang Tao167ORCID

Affiliation:

1. Department of Epidemiology and Biostatics, School of Public Health Peking University Beijing China

2. Department of Biostatics, School of Public Health Peking University Beijing China

3. Department of Biostatics Columbia University New York NY

4. Department of Epidemiology, School of Public Health and Tropical Medicine Tulane University New Orleans LA

5. Department of Nutrition Harvard T.H. Chan School of Public Health Boston MA

6. Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education Beijing China

7. Center for Intelligent Public Health, Academy for Artificial Intelligence Peking University Beijing China

Abstract

Background The evidence is equivocal on the association between meat consumption and ischemic heart disease (IHD) risk. To what extent the variation of individuals' metabolic responses to the same diet may account for this association is not fully understood. We aim to identify metabolomic signatures characterizing consumption of unprocessed red meat and processed meat and whether such signatures are associated with IHD risk. Methods and Results We conducted a cohort study of 92 246 individuals (mean age, 56.1 years; 55.1% women) using the UK Biobank. During the median follow‐up of 8.74 years, 3059 incident IHD events were documented. Unprocessed red meat and processed meat consumption was assessed using a touchscreen dietary questionnaire. Plasma metabolome was profiled by high‐throughput nuclear magnetic resonance spectroscopy. Cox proportional hazards regression model was used to test the association of meat consumption with IHD. Genome‐wide association analysis and 1‐sample Mendelian randomization were performed for metabolomic signatures and causal association of signatures with IHD. Using elastic net regularized regressions, we constructed metabolomic signatures consisting of 157 and 142 metabolites for unprocessed red meat (Spearman correlation coefficient [ r ]=0.223) and processed meat ( r =0.329), respectively. These signatures showed positive associations with incident IHD (red meat related signature: hazard ratio [HR] per SD increment=1.11 [95% CI, 1.06–1.16], P <0.001; processed meat related signature: HR, 1.16 [95% CI, 1.11–1.21], P <0.001). Genome‐wide association studies identified 45 and 4 loci, involved in lipid and lipoprotein metabolism, for red and processed meat related signatures. Mendelian randomization showed that there were casual associations of signatures with risk of incident IHD. Conclusions We identify metabolomic signatures that reflect consumption of unprocessed red meat and processed meat, and these signatures are associated with an increased risk of IHD.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

Reference50 articles.

1. European Society of Cardiology: Cardiovascular Disease Statistics 2017

2. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

3. World Health Organization . Atlas of heart disease and stroke. 2022. Accessed January 30 2023. https://www.who.int/data/gho/publications/world‐health‐statistics

4. Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55 000 vascular deaths

5. Public Health England . The Eatwell Guide. London: Public Health England; 2016. Accessed January 30, 2023. https://www.gov.uk/government/publications/the‐eatwell‐guide

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3