Gene–environment interaction between circadian clock gene polymorphisms and job stress on the risk of sleep disturbances

Wang, Yuxi; Zhao, Min; Li, Pei-Xin; Wu, Chuancheng; Lv, Yanping; Jiang, Yu

doi:10.1007/s00213-022-06219-0

Cited by 7 publications

(5 citation statements)

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“…Blood samples were taken from every participant between 7 and 9 AM on the same day as part of the health examination. The inclusion and exclusion criteria and control of confounding factors have been previously described ( Wang et al, 2022 ). Specifically, participants were included who had been working in this particular job (front-line railway) for >1 year and were aged between 20 and 60 years.…”

Section: Methodsmentioning

confidence: 99%

“…The Effort-Reward Imbalance (ERI) questionnaire is one of the most widely used instruments to estimate job stress, and it is based on Siegrist’s Effort-Reward Imbalance (ERI) model ( Siegrist et al, 2009 ). The job stress test has been previously described ( Wang et al, 2022 ). Specifically, an ERI ratio >1 represents an imbalance between effort and reward, which is considered job stress ( Wu et al, 2019 ).…”

Section: Methodsmentioning

confidence: 99%

“…A 5-ml fasting venous blood sample was collected from every participant between 07:00 and 09:00 at the workplace. According to the relevant references ( Roy et al, 2010 ; Fudalej et al, 2015 ; Sannes et al, 2020 ; Womersley et al, 2022 ), the genotype information of SNPs in the Chinese Human Genome (CHB) and the gold standard ( i.e., r 2 = 0.8, MAF>15% standard), the HapMap database ( http://hapmap.ncbi.nlm.nih.gov/ ) and Haploview software ( http://www.broad.mit.edu/mpg ) were used to select target tag SNP loci in this study ( Wang et al, 2022 ). Genomic DNA was isolated and purified from the samples using a whole blood genome extraction kit (Beijing Think out Sci-Tech Co., Ltd).…”

Section: Methodsmentioning

confidence: 99%

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Association of job stress, FK506 binding protein 51 (FKBP5) gene polymorphisms and their interaction with sleep disturbance

Li¹,

Wang²,

Liu³

et al. 2023

PeerJ

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Background Sleep disturbance is an outcome of multiple factors including environmental and genetic influences. Job stress, a complex environmental factor, likely affects sleep quality, significantly reducing the quality of life of workers. Additionally, FK506 binding protein 51 (FKBP5) may be a pathogenic factor for sleep disturbance as it regulates hypothalamic–pituitary–adrenal (HPA) axis activity, where HPA axis has been found to be involved in the regulation mechanism of sleep and stress response. Objectives The main aim of this study was to investigate the association between job stress and FKBP5 gene polymorphism as well as their interaction with sleep disturbance in Chinese workers; to date, these relationships have not been explored. Methods This is a cross-sectional study. A total of 675 railway workers (53.8% male) completed a short Effort-Reward Imbalance questionnaire and the Pittsburgh Sleep Quality Index. The SNaPshot single nucleotide polymorphism (SNP) assay was carried out by screening for FKBP5 SNPs in every participant. Generalized multifactor dimensionality reduction (GMDR) was used to identify the strongest G×E interaction combination. Results The findings showed that job stress was significantly associated with sleep disturbance; specifically, scores on the PSQI subscales (sleep disturbance, sleep medication, and daytime dysfunction) exhibited significant differences between the two job stress groups (X2 = 18.10, p = 0.01). Additionally, the FKBP5 SNP rs1360780-TT (adjusted odds ratio [AOR] = 4.98, 95% confidence interval [CI] = 2.80–8.84) and rs3800373-CC genotype (AOR = 2.06, CI = 1.10–3.86) were associated with an increased risk of sleep disturbance. Job stress and rs1360780 and rs3800373 variants showed a high-dimensional interaction with sleep disturbance as determined by the GMDR model. Conclusion The FKBP5 gene may increase susceptibility to job stress and result in sleep disturbance, especially in the presence of negative work-related events. These findings contribute to the field of sleep disturbance prevention and treatment.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Association of job stress, FK506 binding protein 51 (FKBP5) gene polymorphisms and their interaction with sleep disturbance

Li¹,

Wang²,

Liu³

et al. 2023

PeerJ

Self Cite

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“…This indirect interaction is mediated by SIRTUIN1. References [22,27,56,[67][68][69][70][71][72][73][74][75][76][77][78][79][80] are cited in the supplementary materials.…”

Section: Supplementary Materialsmentioning

confidence: 99%

Relationship between APOE, PER2, PER3 and OX2R Genetic Variants and Neuropsychiatric Symptoms in Patients with Alzheimer’s Disease

Lozano-Tovar

Rodríguez-Agudelo

Montellano

et al. 2023

IJERPH

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Alzheimer’s disease (AD) is characterized by the presence of neuropsychiatric or behavioral and psychological symptoms of dementia (BPSD). BPSD have been associated with the APOE_ε4 allele, which is also the major genetic AD risk factor. Although the involvement of some circadian genes and orexin receptors in sleep and behavioral disorders has been studied in some psychiatric pathologies, including AD, there are no studies considering gene–gene interactions. The associations of one variant in PER2, two in PER3, two in OX2R and two in APOE were evaluated in 31 AD patients and 31 cognitively healthy subjects. Genotyping was performed using real-time PCR and capillary electrophoresis from blood samples. The allelic-genotypic frequencies of variants were calculated for the sample study. We explored associations between allelic variants with BPSD in AD patients based on the NPI, PHQ-9 and sleeping disorders questionnaires. Our results showed that the APOE_ε4 allele is an AD risk variant (p = 0.03). The remaining genetic variants did not reveal significant differences between patients and controls. The PER3_rs228697 variant showed a nine-fold increased risk for circadian rhythm sleep–wake disorders in Mexican AD patients, and our gene–gene interaction analysis identified a novel interaction between PERIOD and APOE gene variants. These findings need to be further confirmed in larger samples.

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“…Interactions can more accurately describe and explain how different factors work together to influence an outcome, helping to reveal nonlinear and conditional relationships between variables [ 24 ]. It was demonstrated that job burnout might play a moderating role between occupational stress and depression among doctors, nurses, and teachers [ 25 – 27 ].…”

Section: Introductionmentioning

confidence: 99%

The interaction of occupational stress and job burnout on depressive symptoms in railway workers in Fuzhou city

Yu,

Zhao,

et al. 2024

BMC Public Health

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Background To explore the relationship between occupational stress, burnout and depressive symptoms among railroad workers in Fuzhou, and to analyze the interaction of burnout and occupational stress on depressive symptoms. Methods In this study, 861 railway employees of Fuzhou railway bureau were randomly selected from January to April, 2022. Occupational stress inventory revised edition (OSI-R), China job burnout inventory (CMBI) and Symptom Checklist-90 (SCL-90) were used to investigate the occupational stress, job burnout and depressive symptoms of railway workers. Interactions associated with depressive symptoms were assessed by linear hierarchical regression analysis and SPSS macros (PROCESS). Results Occupational stress, job burnout and depressive symptoms accounted for 50.58%, 93.47%, and 11.19% of the study population, respectively. There were intergroup differences between age, marriage status, and length of service (P < 0.05). Occupational stress and job burnout are the main risk factors for depressive symptoms (OR: 2.01, 95% CI: 1.17–3.45; 1.94, 1.69–2.23, respectively). More importantly, further analysis of the interaction between occupational stress and job burnout showed that those with high levels of job burnout had a high-risk effect on depressive symptoms at high levels of occupational stress. Conclusion Occupational stress and job burnout are risk factors for depressive symptoms among railroad workers in Fuzhou City. The interaction of job burnout and occupational stress increases the risk of depressive symptoms.

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Gene–environment interaction between circadian clock gene polymorphisms and job stress on the risk of sleep disturbances

Cited by 7 publications

References 41 publications

Association of job stress, FK506 binding protein 51 (FKBP5) gene polymorphisms and their interaction with sleep disturbance

Association of job stress, FK506 binding protein 51 (FKBP5) gene polymorphisms and their interaction with sleep disturbance

Relationship between APOE, PER2, PER3 and OX2R Genetic Variants and Neuropsychiatric Symptoms in Patients with Alzheimer’s Disease

The interaction of occupational stress and job burnout on depressive symptoms in railway workers in Fuzhou city

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