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1.重庆市精神卫生中心精神六科,重庆
2.重庆市长寿区精神卫生中心精神五科,重庆
3.重庆市妇幼保健院睡眠心理科,重庆
4.重庆医科大学附属妇女儿童医院睡眠心理科,重庆
5.西南大学心理学部,重庆
张郑,E-mail:zhangzheng220930@gmail.com
沈伊默,E-mail:shenym1980@126.com
收稿:2025-05-06,
修回:2025-09-13,
录用:2025-09-15,
纸质出版:2025-10-15
移动端阅览
李晓梅,任浩,张郑,等.主观睡眠问题与表观遗传年龄加速关联的孟德尔随机化研究[J].陆军军医大学学报,2025,47(19):2437-2444.DOI:10.16016/j.2097-0927.202505006.
LI X M,REN H,ZHANG Z,et al.Subjective sleep problems is associated with epigenetic age acceleration: a Mendelian randomization study[J].J Army Med Univ,2025,47(19):2437-2444.DOI:10.16016/j.2097-0927.202505006.
李晓梅,任浩,张郑,等.主观睡眠问题与表观遗传年龄加速关联的孟德尔随机化研究[J].陆军军医大学学报,2025,47(19):2437-2444.DOI:10.16016/j.2097-0927.202505006. DOI:
LI X M,REN H,ZHANG Z,et al.Subjective sleep problems is associated with epigenetic age acceleration: a Mendelian randomization study[J].J Army Med Univ,2025,47(19):2437-2444.DOI:10.16016/j.2097-0927.202505006. DOI:
目的
2
探讨3种常见主观睡眠问题(白天嗜睡、失眠和睡眠呼吸暂停)与表观遗传年龄加速之间的因果关系。
方法
2
本研究采用两样本孟德尔随机化(mendelian randomization, MR)方法,基于公开的全基因组关联研究(genome-wide association studies, GWAS)数据,评估自评睡眠问题对4种表观遗传年龄加速指标,即内在表观遗传年龄加速(intrinsic epigenetic age acceleration, IEAA)、GrimAge、HannumAge和PhenoAge的潜在因果效应。主要分析方法为逆方差加权法(inverse variance weighting, IVW),并通过MR-Egger回归与加权中位数法(weighted median method, WM)进行敏感性分析,以验证结果的稳健性。
结果
2
IVW显示,白天嗜睡与IEAA(
β
=1.83,95%
CI
:0.17~2.49,
P
=0.031)和HannumAge(
β
=1.81,95%
CI
:0.21~2.42,
P=
0.027)呈显著正相关,提示其可能加速表观遗传衰老进程。失眠亦与IEAA(
β
=1.57,95%
CI
:0.40~2.73,
P
=0.009)和GrimAge(
β
=1.37,95%
CI
:0.18~2.56,
P
=0.024)呈显著正向关联。睡眠呼吸暂停未见与任何表观遗传年龄加速指标存在显著因果关系。
结论
2
白天嗜睡和失眠与表观遗传年龄加速存在因果关联,可能在衰老过程中发挥不利作用,睡眠呼吸暂停未见显著关联。
Objective
2
To investigate the potential causal associations between 3 common subjective sleep problems
daytime sleepiness
insomnia
and sleep apnea
and epigenetic age acceleration.
Methods
2
A two-sample Mendelian randomization (MR) study was conducted the publicly available genome-wide association study (GWAS) data to assess the causal effects of self-reported sleep problems on 4 indicators of epigenetic age acceleration
including intrinsic epigenetic age acceleration (IEAA)
GrimAge acceleration
HannumAge acceleration
and PhenoAge acceleration. The primary analytical method was inverse-variance weighting (IVW)
supplemented by sensitivity analyses using MR-Egger regression and the weighted median (WM) method to examine the robustness of the findings.
Results
2
IVW showed that daytime sleepiness was significantly positively associated with IEAA (
β
=1.83
95%
CI
: 0.17~2.49
P
=0.031) and HannumAge acceleration (
β
=1.81
95%
CI
: 0.21~2.42
P
=0.027)
suggesting a potential accelerating effect on epigenetic aging. Insomnia also showed significant positive associations with IEAA (
β
=1.57
95%
CI
: 0.40~2.73
P
=0.009) and GrimAge a
cceleration (
β
=1.37
95%
CI
: 0.18~2.56
P
=0.024). No significant causal relationship was observed between sleep apnea and any indicator of epigenetic age acceleration (
P
>
0.05).
Conclusion
2
Daytime sleepiness and insomnia may accelerate epigenetic aging
indicating their potential biological role in the aging process. The impact of sleep apnea remains unclear and warrants further investigation.
DZIERZEWSKI J M , PEREZ E , RAVYTS S G , et al . Sleep and cognition: a narrative review focused on older adults [J]. Sleep Med Clin , 2022 , 17 ( 2 ): 205 - 222 . DOI: 10.1016/j.jsmc.2022.02.001 http://dx.doi.org/10.1016/j.jsmc.2022.02.001 .
CAO X L , WANG S B , ZHONG B L , et al . The prevalence of insomnia in the general population in China: a meta-analysis [J]. PLoS One , 2017 , 12 ( 2 ): e0170772 . DOI: 10.1371/journal.pone.0170772 http://dx.doi.org/10.1371/journal.pone.0170772 .
BENJAFIELD A V , AYAS N T , EASTWOOD P R , et al . Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis [J]. Lancet Respir Med , 2019 , 7 ( 8 ): 687 - 698 . DOI: 10.1016/S2213-2600(19)30198-5 http://dx.doi.org/10.1016/S2213-2600(19)30198-5 .
REN J , LIU R , ZHAO T , et al . Prevalence and associated factors of excessive daytime sleepiness in rural older adults: a population-based study [J]. Sleep Breath , 2024 , 28 ( 3 ): 1459 - 1464 . DOI: 10.1007/s11325-024-03004-5 http://dx.doi.org/10.1007/s11325-024-03004-5 .
LI A , KOCH Z , IDEKER T . Epigenetic aging: Biological age prediction and informing a mechanistic theory of aging [J]. J Intern Med , 2022 , 292 ( 5 ): 733 - 744 . DOI: 10.1111/joim. 13533 http://dx.doi.org/10.1111/joim.13533 .
NOROOZI R , GHAFOURI-FARD S , PISAREK A , et al . DNA methylation-based age clocks: From age prediction to age reversion [J]. Ageing Res Rev , 2021 , 68 : 101314 . DOI: 10.1016/j.arr.2021.101314 http://dx.doi.org/10.1016/j.arr.2021.101314 .
BOCKLANDT S , LIN W , SEHL M E , et al . Epigenetic predictor of age [J]. PLoS One , 2011 , 6 ( 6 ): e14821 . DOI: 10.1371/journal.pone.0014821 http://dx.doi.org/10.1371/journal.pone.0014821 .
LEVINE M E , LU A T , QUACH A , et al . An epigenetic biomarker of aging for lifespan and healthspan [J ]. Aging , 2018 , 10 ( 4 ): 573 - 591 . DOI: 10.18632/aging.101414 http://dx.doi.org/10.18632/aging.101414 .
HORVATH S , RAJ K . DNA methylation-based biomarkers and the epigenetic clock theory of ageing [J]. Nat Rev Genet , 2018 , 19 ( 6 ): 371 - 384 . DOI: 10.1038/s41576-018-0004-3 http://dx.doi.org/10.1038/s41576-018-0004-3 .
HORVATH S . DNA methylation age of human tissues and cell types [J]. Genome Biol , 2013 , 14 ( 10 ): R115 . DOI: 10.1186/gb-2013-14-10-r115 http://dx.doi.org/10.1186/gb-2013-14-10-r115 .
AMBATIPUDI S , HORVATH S , PERRIER F , et al . DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility [J]. Eur J Cancer , 2017 , 75 : 299 - 307 . DOI: 10.1016/j.ejca.2017.01.014 http://dx.doi.org/10.1016/j.ejca.2017.01.014 .
CARVALHAS-ALMEIDA C , CAVADAS C , ÁLVARO A R . The impact of insomnia on frailty and the hallmarks of aging [J]. Aging Clin Exp Res , 2023 , 35 ( 2 ): 253 - 269 . DOI: 10.1007/s40520-022-02310-w http://dx.doi.org/10.1007/s40520-022-02310-w .
DAVIES N M , HOLMES M V , DAVEY SMITH G . Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians [J]. BMJ , 2018 , 362 : k601 . DOI: 10.1136/bmj.k601 http://dx.doi.org/10.1136/bmj.k601 .
WANG H M , LANE J M , JONES S E , et al . Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes [J]. Nat Commun , 2019 , 10 ( 1 ): 3503 . DOI: 10.1038/s41467-019-11456-7 http://dx.doi.org/10.1038/s41467-019-11456-7 .
LANE J M , JONES S E , DASHTI H S , et al . Biological and clinical insights from genetics of insomnia symptoms [J]. Nat Genet , 2019 , 51 ( 3 ): 387 - 393 . DOI: 10.1038/s41588-019-0361-7 http://dx.doi.org/10.1038/s41588-019-0361-7 .
CAMPOS A I , INGOLD N , HUANG Y R , et al . Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring [J]. Sleep , 2023 , 46 ( 3 ): zsac308 . DOI: 10.1093/sleep/zsac308 http://dx.doi.org/10.1093/sleep/zsac308 .
MCCARTNEY D L , MIN J L , RICHMOND R C , et al . Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging [J]. Genome Biol , 2021 , 22 ( 1 ): 194 . DOI: 10.1186/s13059-021-02398-9 http://dx.doi.org/10.1186/s13059-021-02398-9 .
Shen J , Zhou H , Liu J , et al . A modifiable risk factors atlas of lung cancer: a Mendelian randomization study [J]. Cancer Med , 2021 , 10 ( 13 ): 4587 - 4603 . DOI: 10.1002/cam4.4015 http://dx.doi.org/10.1002/cam4.4015 .
FLATBY H M , RAVI A , DAMÅS J K , et al . Circulating levels of micronutrients and risk of infections: a Mendelian randomization study [J]. BMC Med , 2023 , 21 ( 1 ): 84 . DOI: 10.1186/s12916-023-02780-3 http://dx.doi.org/10.1186/s12916-023-02780-3 .
VISSCHER P M , WRAY N R , ZHANG Q , et al . 10 years of GWAS discovery: biology, function, and translation [J]. Am J Hum Genet , 2017 , 101 ( 1 ): 5 - 22 . DOI: 10.1016/j.ajhg.2017.06.005 http://dx.doi.org/10.1016/j.ajhg.2017.06.005 .
袁昊 , 李霄 , 孙志玉 , 等 . 焦虑、抑郁、神经质与复发性流产的因果关系: 一项孟德尔随机化研究 [J]. 陆军军医大学学报 , 2025 , 47 ( 4 ): 378 - 384 . DOI: 10.16016/j.2097-0927.202405107 http://dx.doi.org/10.16016/j.2097-0927.202405107 .
YUAN H , LI X , SUN Z Y , et al . Causal relationships of anxiety, depression and neuroticism with recurrent spontaneous abortion: a Mendelian randomization analysis [J]. J Army Med Univ , 2025 , 47 ( 4 ): 378 - 384 . DOI: 10.16016/j.2097-0927.202405107 http://dx.doi.org/10.16016/j.2097-0927.202405107 .
BOWDEN J , DAVEY SMITH G , BURGESS S . Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression [J]. Int J Epidemiol , 2015 , 44 ( 2 ): 512 - 525 . DOI: 10.1093/ije/dyv080 http://dx.doi.org/10.1093/ije/dyv080 .
VERBANCK M , CHEN C Y , NEALE B , et al . Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases [J]. Nat Genet , 2018 , 50 ( 5 ): 693 - 698 . DOI: 10.1038/s41588-018-0099-7 http://dx.doi.org/10.1038/s41588-018-0099-7 .
YAVORSKA O O , BURGESS S . MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data [J]. Int J Epidemiol , 2017 , 46 ( 6 ): 1734 - 1739 . DOI: 10.1093/ije/dyx034 http://dx.doi.org/10.1093/ije/dyx034 .
KUSTERS C D J , KLOPACK E T , CRIMMINS E M , et al . Short sleep and insomnia are associated with accelerated epigenetic age [J]. Psychosom Med , 2024 , 86 ( 5 ): 453 - 462 . DOI: 10.1097/PSY.0000000000001243 http://dx.doi.org/10.1097/PSY.0000000000001243 .
MCCRORY C , FIORITO G , HERNANDEZ B , et al . GrimAge outperforms other epigenetic clocks in the prediction of age-related clinical phenotypes and all-cause mortality [J]. J Gerontol Ser A , 2021 , 76 ( 5 ): 741 - 749 . DOI: 10.1093/gerona/glaa286 http://dx.doi.org/10.1093/gerona/glaa286 .
LEI M K , GIBBONS F X , SIMONS R L , et al . The effect of tobacco smoking differs across indices of DNA methylation-based aging in an African American sample: DNA methylation-based indices of smoking capture these effects [J]. Genes , 2020 , 11 ( 3 ): 311 . DOI: 10.3390/genes11030311 http://dx.doi.org/10.3390/genes11030311 .
CARROLL J E , IRWIN M R , LEVINE M , et al . Epigenetic aging and immune senescence in women with insomnia symptoms: findings from the women’s health initiative study [J]. Biol Psychiatry , 2017 , 81 ( 2 ): 136 - 144 . DOI: 10.1016/j.biopsych.2016.07.008 http://dx.doi.org/10.1016/j.biopsych.2016.07.008 .
LI X Y , JOEHANES R , HOESCHELE I , et al . Association between sleep disordered breathing and epigenetic age acceleration: Evidence from the Multi-Ethnic Study of Atherosclerosis [J]. EBioMedicine , 2019 , 50 : 387 - 394 . DOI: 10.1016/j.ebiom.2019.11.020 http://dx.doi.org/10.1016/j.ebiom.2019.11.020 .
CARROLL J E , IRWIN M R , LEVINE M , et al . Epigenetic aging and immune senescence in women with insomnia symptoms: findings from the women’s health initiative study [J]. Biol Psychiatry , 2017 , 81 ( 2 ): 136 - 144 . DOI: 10.1016/j.biopsych.2016.07.008 http://dx.doi.org/10.1016/j.biopsych.2016.07.008 .
DIAO T Y , LIU K , ZHOU L , et al . Sleep patterns and DNA methylation age acceleration in middle-aged and older Chinese adults [J]. Clin Epigenetics , 2025 , 17 ( 1 ): 87 . DOI: 10.1186/s13148-025-01898-w http://dx.doi.org/10.1186/s13148-025-01898-w .
NOROOZI R , RUDNICKA J , PISAREK A , et al . Analysis of epigenetic clocks links Yoga , sleep, education, reduced meat intake, coffee, and a SOCS 2 gene variant to slower epigenetic aging [J]. Geroscience , 2024 , 46 ( 2 ): 2583 - 2604 . DOI: 10.1007/s11357-023-01029-4 http://dx.doi.org/10.1007/s11357-023-01029-4 .
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