Zhang Ying, Spitzer Brian W, Zhang Yu, Wallace Danielle A, Yu Bing, Qi Qibin, Argos Maria, Avilés-Santa M Larissa, Boerwinkle Eric, Daviglus Martha L, Kaplan Robert, Cai Jianwen, Redline Susan, Sofer Tamar
Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
EBioMedicine. 2025 Jan;111:105507. doi: 10.1016/j.ebiom.2024.105507. Epub 2024 Dec 17.
Sleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep-related phenotypes and blood metabolites.
Utilising data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep-related phenotypes, grouped in several domains (sleep disordered breathing (SDB), sleep duration, sleep timing, self-reported insomnia symptoms, excessive daytime sleepiness (EDS), and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualise and interpret the associations between sleep phenotypes and metabolites.
The patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, primary bile acid metabolism showed the highest cumulative percentage of statistically significant associations across all sleep phenotype domains except for SDB and EDS phenotypes. Several metabolites were associated with multiple sleep phenotypes, from a few domains. Glycochenodeoxycholate, vanillyl mandelate (VMA) and 1-stearoyl-2-oleoyl-GPE (18:0/18:1) were associated with the highest number of sleep phenotypes, while pregnenolone sulfate was associated with all sleep phenotype domains except for sleep duration. N-lactoyl amino acids such as N-lactoyl phenylalanine (lac-Phe), were associated with sleep duration, SDB, sleep timing and heart rate during sleep.
This atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.
R01HL161012, R35HL135818, R01AG80598.
睡眠对于维持个体的健康和幸福至关重要，影响从心理健康到心脏代谢疾病等各种结果。本研究旨在评估各种与睡眠相关的表型与血液代谢物之间的关系。
利用西班牙裔社区健康研究/拉丁裔研究的数据，我们对40种与睡眠相关的表型进行了关联分析，这些表型分为几个领域（睡眠呼吸障碍（SDB）、睡眠时间、睡眠时间、自我报告的失眠症状、白天过度嗜睡（EDS）和睡眠期间的心率），以及通过非靶向代谢组学分析测量的768种代谢物。采用网络分析来可视化和解释睡眠表型与代谢物之间的关联。
睡眠表型与代谢物之间具有统计学意义的关联模式因超级通路而异，并突出了未来研究感兴趣的子通路。例如，除SDB和EDS表型外，初级胆汁酸代谢在所有睡眠表型领域中显示出具有统计学意义的关联的最高累积百分比。几种代谢物与来自几个领域的多种睡眠表型相关。甘氨鹅脱氧胆酸盐、香草扁桃酸（VMA）和1-硬脂酰-2-油酰-GPE（18:0/18:1）与最多数量的睡眠表型相关，而硫酸孕烯醇酮与除睡眠时间外的所有睡眠表型领域相关。N-乳酰氨基酸如N-乳酰苯丙氨酸（lac-Phe）与睡眠时间、SDB、睡眠时间和睡眠期间的心率相关。
这本睡眠-代谢物关联图谱将有助于提出假设并进一步研究睡眠健康的代谢基础。
R01HL161012、R35HL135818、R01AG80598。
