| Literature DB >> 32265751 |
Michael G Gottschalk1, Katharina Domschke1,2, Miriam A Schiele1.
Abstract
Susceptibility and resilience to mental disorders result from a complex choreography of gene-environment interactions with epigenetics at the intersection of external psychological stressors and internal biological systems. Increasing awareness of the growing disease burden influenced by daily life stress ("daily hassles"), work-related stress, and low socioeconomic status (SES) has resulted in a novel interest into their underlying molecular signatures. This review offers a brief outline of psychiatric epigenetics and a comprehensive overview of recent findings exploring the relationship of various occupational stressors and DNA methylation in epigenome-wide association studies (EWAS) and in candidate gene studies including the serotonin transporter (SLC6A4; 5-HTTLPR), melatonin receptor 1A (MTNR1A), brain-derived neurotrophic factor (BDNF), tyrosine hydroxylase (TH), and the protein family of DNA methyltransferases (DNMTs). Conceptual and methodological challenges of epigenetic investigations with a special focus on gene-environment interactions are highlighted and discussed. The findings are integrated into a pathophysiological framework featuring epigenetic plasticity factors and work-related stress as a possible central detrimental component targetable by workplace interventions. Finally, the potential of dynamic epigenetic biomarkers of treatment response to pharmacotherapy or psychotherapy is expanded upon.Entities:
Keywords: candidate risk variants; daily life stress; epigenetics (MeSH); epigenome wide association; resilience (psychological); socioeconomic status (MeSH); susceptibility; work stress
Year: 2020 PMID: 32265751 PMCID: PMC7099635 DOI: 10.3389/fpsyt.2020.00163
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Overview of epigenetic studies relating to daily life stress, work stress, and socioeconomic status.
| Study | Sample | Tissue | Assessment | Gene(s)/scope | Findings |
|---|---|---|---|---|---|
| 105 Caucasian males | Blood | TICS for past 3 months | ↑ total methylation as a function of chronic daily stress in | ||
| 112 Dutch/Belgian psychiatrically healthy individuals, a population-based replication sample of 434 individuals, 85 unaffected siblings of patients with psychosis, 110 patients with psychosis, 126 patients with a MDD lifetime history and residual symptoms | Blood, saliva, or buccal epithelium | Experience sampling method for daily stressful and pleasant events | Association of the minor | ||
| 24 Finnish female nurses reporting high and 25 female nurses reporting low work stress environments | Blood | JCQ | ↓ promoter methylation associated with increased perceived work stress | ||
| 360 Japanese manufacturing company workers | Saliva | JCQ | ↑ overall average / promoter / 5’-regulatory region methylation associated with increased work strain | ||
| 360 Japanese manufacturing company workers | Saliva | JCQ | ↑ overall average methylation associated with increased work strain | ||
| 59 Finnish pilots, flight attendants, and nurses (from Alasaari et al., 2014) | Blood | – | ↑ methylation levels in the | ||
| 178 kindergarten children from mixed ethnic backgrounds | Buccal epithelium | Composite measure of parental income and education used as a proxy of SES | EWAS | Overrepresentation of altered methylation at CpG sites in genes related to immune and developmental regulation functions associated with low SES | |
| 241 Mexican-American maternal–infant pairs | Cord blood | Neighborhood-level characteristics used as a proxy of SES | EWAS | ↑ methylation of LINE1 elements associated with low SES | |
| Meta-analysis of 5,087 samples of independent cohorts from Australia, Ireland, and Italy | Blood | Highest level of educational attainment used as a proxy of SES | Accelerated intrinsic epigenetic aging | Increased accelerated epigenetic aging associated with low SES | |
| 100 late adolescents from mixed ethnic backgrounds | Blood | Hollingshead Measure of SES | ↑ methylation and low SES linked to increased reports of trauma | ||
| 609 maternal–infant pairs from mixed ethnic backgrounds | Cord blood and peripheral blood (3-year follow-up) | Composite measure of individual- and neighborhood-level metrics used as a proxy of SES | EWAS | Altered methylation in CpG sites mapped to | |
| 489 Filipino youth | Blood | Composite measure of income, assets, and education used as a proxy of SES | EWAS | Overrepresentation of altered methylation at CpG sites in genes related to immune functions, skeletal development, and CNS development associated with low SES | |
| 426 infants born <28 weeks of gestation from mixed ethnic backgrounds | Placenta | Composite measure of parental education, marital status, food and nutritional service assistance, and public health insurance used as a proxy of SES | EWAS | Overrepresentation of altered methylation at CpG sites in genes related to cellular immune and stress response associated with low SES | |
| 132 Caucasian adolescents | Saliva | Highest level of parental educational attainment used as a proxy of SES | ↑ methylation change over 2 years associated with low SES and increased threat-related amygdala reactivity | ||
| 77 trauma-exposed controls and 23 PTSD patients, primarily with African-American background | Blood | Highest level of educational attainment used as a proxy of SES | EWAS | Methylation×SES interaction occurred primarily in genes related to nervous system function |
5-HTTLPR, serotonin transporter-linked polymorphic region; ACSF3, acyl-CoA synthetase family member 3 gene; BDNF, brain-derived neurotrophic factor gene; DNMT1, DNA methyltransferase 1 gene; DNMT3A, DNA methyltransferase 3 alpha gene; DNMT3B, DNA methyltransferase 3 beta gene; EWAS, epigenome-wide association study; GWAS, genome-wide association study; JCQ, Karasek’s Job Content Questionnaire; LINE1, L1 long interspersed nuclear elements; LRRN4, leucine-rich repeat neuronal 4 gene; MDD, major depressive disorder; MTHFR, methylenetetrahydrofolate reductase gene; MTMR4, myotubularin-related protein 4 gene; MTNR1A, melatonin receptor 1A gene; SES, socioeconomic status; SLC6A4, serotonin transporter gene; TH, tyrosine hydroxylase gene; TICS, Trier Inventory of Chronic Stress; TNRC6C-AS1, TNRC6C antisense RNA 1 gene. Arrows indicate increased (↑) and decreased (↓) methylation, respectively.