Habitual sleep quality, plasma metabolites and risk of coronary heart disease in post-menopausal women

Author:

Huang Tianyi12,Zeleznik Oana A1,Poole Elizabeth M1,Clish Clary B3,Deik Amy A3,Scott Justin M3,Vetter Céline4,Schernhammer Eva S15,Brunner Robert6,Hale Lauren7,Manson JoAnn E8,Hu Frank B129,Redline Susan10,Tworoger Shelley S911,Rexrode Kathryn M812

Affiliation:

1. Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

2. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA

3. Broad Institute of MIT and Harvard, Boston, MA, USA

4. Department of Integrative Physiology, University of Colorado at Boulder, Boulder, CO, USA

5. Department of Epidemiology, Center for Public Health, University of Vienna, Vienna, Austria

6. School of Medicine, University of Nevada, Reno, NV, USA

7. Program in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook Medicine, Stony Brook, NY, USA

8. Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

9. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA

10. Departments of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

11. Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA

12. Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA

Abstract

Abstract Background Epidemiologic studies suggest a strong link between poor habitual sleep quality and increased cardiovascular disease risk. However, the underlying mechanisms are not entirely clear. Metabolomic profiling may elucidate systemic differences associated with sleep quality that influence cardiometabolic health. Methods We explored cross-sectional associations between sleep quality and plasma metabolites in a nested case–control study of coronary heart disease (CHD) in the Women’s Health Initiative (WHI; n = 1956) and attempted to replicate the results in an independent sample from the Nurses’ Health Study II (NHSII; n = 209). A sleep-quality score (SQS) was derived from self-reported sleep problems asked in both populations. Plasma metabolomics were assayed using LC–MS with 347 known metabolites. General linear regression was used to identify individual metabolites associated with continuous SQS (false-discovery rate <0.05). Using least absolute shrinkage and selection operator (LASSO) algorithms, a metabolite score was created from replicated metabolites and evaluated with CHD risk in the WHI. Results After adjusting for age, race/ethnicity, body mass index (BMI) and smoking, we identified 69 metabolites associated with SQS in the WHI (59 were lipids). Of these, 16 were replicated in NHSII (15 were lipids), including 6 triglycerides (TAGs), 4 phosphatidylethanolamines (PEs), 3 phosphatidylcholines (PCs), 1 diglyceride (DAG), 1 lysophosphatidylcholine and N6-acetyl-L-lysine (a product of histone acetylation). These metabolites were consistently higher among women with poorer sleep quality. The LASSO selection resulted in a nine-metabolite score (TAGs 45: 1, 48: 1, 50: 4; DAG 32: 1; PEs 36: 4, 38: 5; PCs 30: 1, 40: 6; N6-acetyl-L-lysine), which was positively associated with CHD risk (odds ratio per SD increase in the score: 1.16; 95% confidence interval: 1.05, 1.28; p = 0.0003) in the WHI after adjustment for matching factors and conventional CHD risk factors. Conclusions Differences in lipid metabolites may be an important pathogenic pathway linking poor habitual sleep quality and CHD risk.

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

US Department of Health and Human Services

American Heart Association

NHLBI

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

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