학술논문

Associations of stress and stress-related psychiatric disorders with GrimAge acceleration: review and suggestions for future work.
Document Type
article
Source
Translational psychiatry. 13(1)
Subject
Humans
Psychophysiologic Disorders
Alcohol Drinking
Mental Disorders
DNA Methylation
Epigenesis
Genetic
Aging
Acceleration
Adult
Mental Health
Behavioral and Social Science
Brain Disorders
Post-Traumatic Stress Disorder (PTSD)
Aetiology
2.3 Psychological
social and economic factors
Generic health relevance
Mental health
Good Health and Well Being
Clinical Sciences
Public Health and Health Services
Psychology
Language
Abstract
The notion of "biological aging" as distinct from chronological aging has been of increasing interest in psychiatry, and many studies have explored associations of stress and psychiatric illness with accelerated biological aging. The "epigenetic clocks" are one avenue of this research, wherein "biological age" is estimated using DNA methylation data from specific CpG dinucleotide sites within the human genome. Many iterations of the epigenetic clocks have been developed, but the GrimAge clock continues to stand out for its ability to predict morbidity and mortality. Several studies have now explored associations of stress, PTSD, and MDD with GrimAge acceleration (GrimAA). While stress, PTSD, and MDD are distinct psychiatric entities, they may share common mechanisms underlying accelerated biological aging. Yet, no one has offered a review of the evidence on associations of stress and stress-related psychopathology with GrimAA. In this review, we identify nine publications on associations of stress, PTSD, and MDD with GrimAA. We find that results are mixed both within and across each of these exposures. However, we also find that analytic methods - and specifically, the choice of covariates - vary widely between studies. To address this, we draw upon popular methods from the field of clinical epidemiology to offer (1) a systematic framework for covariate selection, and (2) an approach to results reporting that facilitates analytic consensus. Although covariate selection will differ by the research question, we encourage researchers to consider adjustment for tobacco, alcohol use, physical activity, race, sex, adult socioeconomic status, medical comorbidity, and blood cell composition.