Work-related stress and burnout: Is epigenetic aging the missing link?

IF 4.4 2区 医学 Q1 GENETICS & HEREDITY
Julian Eder, Friederike Sophie David, Sabrina Illius, Nicole Rothe, Magdalena Katharina Wekenborg, Andreas Walther, Marlene Penz, Juulia Jylhävä, Robert Miller, Clemens Kirschbaum, Nina Alexander
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引用次数: 0

Abstract

Background: Work-related stress is a well-established contributor to mental health decline, particularly in the context of burnout, a state of prolonged exhaustion. Epigenetic clocks, which estimate biological age based on DNA methylation (DNAm) patterns, have been proposed as potential biomarkers of chronic stress and its impact on biological aging and health. However, their role in mediating the relationship between work-related stress, physiological stress markers, and burnout remains unclear.

Methods: Here, we analyzed DNAm data from 296 employed individuals (nfemale = 202; Mage = 45.4; SDage = 11.3; rangeage = 19.5-67.1) from the longitudinally assessed cohort of the Dresden Burnout Study to investigate whether epigenetic aging mediates the relationship between work-related stress (effort-reward imbalance), hair glucocorticoids (cortisol, cortisone), and burnout symptoms. We examined four epigenetic clocks (DNAm Skin&Blood Age, DNAm PhenoAge, DNAm GrimAge, and DNAm GrimAge2) at baseline and follow-up (one year later). Additional mediation analyses were conducted for depressive symptoms to distinguish their potential effects from those specifically associated with burnout symptoms.

Results: As expected, work-related stress at baseline significantly predicted burnout (β = .47, p < .001) and depressive symptoms (β = .32, p < .001) at follow-up. However, epigenetic aging did not mediate these relationships, neither cross-sectionally (indirect effects of epigenetic age acceleration [EAA]: ßburnout = [-.0008, -.00001]) nor longitudinally (indirect effects of changes in raw clock estimates: ßburnout = [-.002, .007]). Furthermore, work-related stress and hair glucocorticoids were not significantly associated with any epigenetic age markers (all p values > .117), and both EAA and changes in epigenetic aging over time were unrelated to burnout or depressive symptoms (all p values > .190). Sensitivity analyses adjusting for blood cell composition and technical variance confirmed these findings.

Conclusions: Consequently, our results do not support the hypothesis that epigenetic aging serves as a biological mechanism linking work-related stress or biological stress markers to burnout symptoms. While work-related stress significantly predicts burnout and depressive symptoms, its association does not appear to be driven by epigenetic aging pathways in a low to moderately burdened population. These findings underscore the need for longer follow-up studies to explore alternative biological and psychosocial pathways that shape the long-term consequences of work-related stress on mental health.

工作压力和职业倦怠:表观遗传老化是缺失的环节吗?
背景:与工作相关的压力是一个公认的导致心理健康下降的因素,特别是在倦怠的背景下,一种长期疲惫的状态。表观遗传时钟基于DNA甲基化(DNAm)模式估计生物年龄,已被提出作为慢性应激及其对生物衰老和健康影响的潜在生物标志物。然而,它们在工作压力、生理压力标记物和倦怠之间的中介作用尚不清楚。方法:在此,我们分析了来自德累斯登倦怠研究纵向评估队列的296名雇员(男= 202,男= 45.4,年龄= 11.3,年龄= 19.5-67.1)的DNAm数据,以研究表观遗传衰老是否介导工作压力(努力-奖励失衡)、毛发糖皮质激素(皮质醇、可的松)和倦怠症状之间的关系。我们在基线和随访(一年后)检查了四种表观遗传时钟(DNAm Skin&Blood Age, DNAm PhenoAge, DNAm GrimAge和DNAm GrimAge2)。对抑郁症状进行了额外的中介分析,以区分抑郁症状与倦怠症状的潜在影响。结果:正如预期的那样,基线工作压力对职业倦怠有显著的预测作用(β =。47, p burnout =[- 0.008, - 0.00001]),也没有纵向(原始时钟估计变化的间接影响:ßburnout =[- 0.002, 0.007])。此外,工作压力和头发糖皮质激素与任何表观遗传年龄标记均无显著相关(p值均为bb0)。117), EAA和表观遗传老化随时间的变化与倦怠或抑郁症状无关(p值均为>.190)。敏感性分析调整了血细胞组成和技术差异,证实了这些发现。结论:因此,我们的研究结果不支持表观遗传衰老作为一种生物学机制将工作压力或生物压力标志物与倦怠症状联系起来的假设。虽然工作压力显著地预测倦怠和抑郁症状,但在低至中等负荷人群中,其关联似乎不是由表观遗传衰老途径驱动的。这些发现强调需要进行更长时间的后续研究,以探索形成工作压力对心理健康的长期影响的其他生物学和社会心理途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
5.30%
发文量
150
期刊介绍: Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.
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