遗传对睡眠模式与慢性肾脏病相关性的影响：一项对 157175 名英国生物库参与者的前瞻性队列研究。

Genetic impact on the association of sleep patterns and chronic kidney disease: A prospective cohort study of 157,175 UK Biobank participants.

机构信息

Kidney Research Institute, Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guo Xue Xiang, Chengdu, Sichuan 610041, China; Med-X Center for Informatics, Sichuan University, 17 Ren Min Nan Road 3(rd) section, Chengdu, Sichuan 610041, China.

School of Biomedical Informatics, The University of Texas Health Science Centre at Houston, 7000 Fannin Street, Houston, TX 77030, USA.

出版信息

J Psychosom Res. 2023 Jun;169:111323. doi: 10.1016/j.jpsychores.2023.111323. Epub 2023 Mar 28.

DOI:10.1016/j.jpsychores.2023.111323

PMID:37037154

Abstract

OBJECTIVES

The association between sleep pattern and chronic kidney disease (CKD) incidence, and whether the association is dependent on the genetic backgrounds has not been addressed. We sought to investigate the association of multidimensional sleep pattern with CKD in consideration of genetic polymorphisms.

METHODS

In this prospective cohort study of 157,175 participants from the UK Biobank, sleep patterns were derived by multiple correspondence analysis (MCA) and k-means clustering of individual sleep traits (sleep duration, insomnia, chronotype, daytime sleepiness, snoring, and night shift status). Cox proportional hazard regression was used to estimate the association between sleep patterns and CKD incidence. Gene-environment-wide interaction study (GEWIS) was performed to detect whether gene polymorphisms were modifiers on this association.

RESULTS

Compared with "healthy sleep" pattern, increased CKD incidence was observed in the clusters with "long sleep duration" (hazard ratios (HR) 1.42, 95% confidence intervals (CI), 1.18-1.72) and "night shift" (HR 1.23, 95% CI, 1.05-1.45) patterns, but not with the "short sleep duration" pattern. By GEWIS, we identified 167 SNPs as suggestive effect modifiers that interacted with unhealthy sleep patterns and affected the risk of CKD.

CONCLUSIONS

Unhealthy sleep patterns, with features of long sleep duration and night shift, may increase the risk of CKD. The study highlights the interaction of sleep and individual genetic risk to affect health outcomes.

摘要

目的

睡眠模式与慢性肾脏病（CKD）发病之间的关系，以及这种关系是否取决于遗传背景，尚未得到解决。我们试图研究多维睡眠模式与 CKD 的相关性，同时考虑遗传多态性。

方法

在英国生物库的 157175 名参与者的前瞻性队列研究中，通过多元对应分析（MCA）和个体睡眠特征（睡眠时间、失眠、昼夜类型、白天嗜睡、打鼾和夜班状态）的 K-均值聚类来得出睡眠模式。使用 Cox 比例风险回归来估计睡眠模式与 CKD 发病之间的关联。进行基因-环境广泛交互研究（GEWIS）以检测基因多态性是否是这种关联的修饰因子。

结果

与“健康睡眠”模式相比，“长睡眠时间”（危险比（HR）1.42，95%置信区间（CI）1.18-1.72）和“夜班”（HR 1.23，95%CI，1.05-1.45）模式的聚类中观察到 CKD 发病率增加，但“短睡眠时间”模式则没有。通过 GEWIS，我们确定了 167 个 SNP 作为提示性效应修饰因子，这些 SNP 与不健康的睡眠模式相互作用，并影响 CKD 的风险。