1
|
Li T, Chen Y, Xie Y, Tao S, Zou L, Yang Y, Tao F, Wu X. Moderating effects of PER3 gene DNA methylation on the association between problematic mobile phone use and chronotype among Chinese young adults: Focus on gender differences. J Behav Addict 2024; 13:554-564. [PMID: 38829707 PMCID: PMC11220799 DOI: 10.1556/2006.2024.00027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/06/2023] [Accepted: 04/25/2024] [Indexed: 06/05/2024] Open
Abstract
Objective To investigate the rates of problematic mobile phone use (PMPU) and chronotypes in young adults, and examine the associations of PMPU with chronotypes, as well as its gender differences. Furthermore, we explored the moderating role of PER3 gene DNA methylation on the associations. Methods From April to May 2019, a total of 1,179 young adults were selected from 2 universities in Anhui and Jiangxi provinces. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and reduced Morningness-Eveningness Questionnaire (rMEQ) were adopted to investigate PMPU and chronotypes in young adults, respectively. Moreover, 744 blood samples were collected to measure PER3 gene DNA methylation. Multivariate logistic regression models were established to analyze the associations between PMPU and chronotypes. Moderating analysis was used to determine whether PER3 gene DNA methylation moderated the relationships between PMPU and chronotypes. Results The prevalence of PMPU, morning chronotypes (M-types), neutral chronotypes (N-types), and evening chronotypes (E-types) of young adults were 24.6%, 18.4%, 71.1%, and 10.5%, respectively. Multivariate logistic regression results indicated that PMPU was positively correlated with E-types (OR = 3.53, 95%CI: 2.08-6.00), and the association was observed only in females after stratified by gender (OR = 5.36, 95%CI: 2.70-10.67). Furthermore, PER3 gene DNA methylation has a negative moderating role between PMPU and chronotypes and has a sex-based difference. Conclusions This study can provide valuable information for the prevention and control of circadian rhythm disturbance among young adults from the perspective of epidemiology and biological etiology.
Collapse
Affiliation(s)
- Tingting Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yuming Chen
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yang Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Shuman Tao
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health Across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Liwei Zou
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health Across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yajuan Yang
- School of Nursing, Anhui Medical University, 15 Feicui Road, Hefei 230601, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health Across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xiaoyan Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei 230032, Anhui, China
- Anhui Provincial Key Laboratory of Environment and Population Health Across the Life Course, Anhui Medical University, No 81 Meishan Road, Hefei 230032, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei 230032, Anhui, China
| |
Collapse
|
2
|
Richter E, Patel P, Babu JR, Wang X, Geetha T. The Importance of Sleep in Overcoming Childhood Obesity and Reshaping Epigenetics. Biomedicines 2024; 12:1334. [PMID: 38927541 PMCID: PMC11201669 DOI: 10.3390/biomedicines12061334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/10/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
The development of childhood obesity is a complex process influenced by a combination of genetic predisposition and environmental factors, such as sleep, diet, physical activity, and socioeconomic status. Long-term solutions for decreasing the risk of childhood obesity remain elusive, despite significant advancements in promoting health and well-being in school and at home. Challenges persist in areas such as adherence to interventions, addressing underlying social determinants, and individual differences in response to treatment. Over the last decade, there has been significant progress in epigenetics, along with increased curiosity in gaining insights into how sleep and lifestyle decisions impact an individual's health. Epigenetic modifications affect the expression of genes without causing changes to the fundamental DNA sequence. In recent years, numerous research studies have explored the correlation between sleep and the epigenome, giving a better understanding of DNA methylation, histone modification, and non-coding RNAs. Although significant findings have been made about the influence of sleep on epigenetics, a notable gap exists in the literature concerning sleep-related genes specifically associated with childhood obesity. Consequently, it is crucial to delve deeper into this area to enhance our understanding. Therefore, this review primarily focuses on the connection between sleep patterns and epigenetic modifications in genes related to childhood obesity. Exploring the interplay between sleep, epigenetics, and childhood obesity can potentially contribute to improved overall health outcomes. This comprehensive review encompasses studies focusing on sleep-related genes linked to obesity.
Collapse
Affiliation(s)
- Erika Richter
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
| | - Priyadarshni Patel
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
| | - Jeganathan Ramesh Babu
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
| | - Xu Wang
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL 36849, USA
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Thangiah Geetha
- Department of Nutritional Sciences, Auburn University, Auburn, AL 36849, USA
- Boshell Metabolic Diseases and Diabetes Program, Auburn University, Auburn, AL 36849, USA
- Alabama Agricultural Experiment Station, Auburn University, Auburn, AL 36849, USA
| |
Collapse
|
3
|
Eulalio T, Sun MW, Gevaert O, Greicius MD, Montine TJ, Nachun D, Montgomery SB. regionalpcs: improved discovery of DNA methylation associations with complex traits. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.01.590171. [PMID: 38746367 PMCID: PMC11092597 DOI: 10.1101/2024.05.01.590171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
We have developed the regional principal components (rPCs) method, a novel approach for summarizing gene-level methylation. rPCs address the challenge of deciphering complex epigenetic mechanisms in diseases like Alzheimer's disease (AD). In contrast to traditional averaging, rPCs leverage principal components analysis to capture complex methylation patterns across gene regions. Our method demonstrated a 54% improvement in sensitivity over averaging in simulations, offering a robust framework for identifying subtle epigenetic variations. Applying rPCs to the AD brain methylation data in ROSMAP, combined with cell type deconvolution, we uncovered 838 differentially methylated genes associated with neuritic plaque burden-significantly outperforming conventional methods. Integrating methylation quantitative trait loci (meQTL) with genome-wide association studies (GWAS) identified 17 genes with potential causal roles in AD, including MS4A4A and PICALM. Our approach is available in the Bioconductor package regionalpcs, opening avenues for research and facilitating a deeper understanding of the epigenetic landscape in complex diseases.
Collapse
Affiliation(s)
- Tiffany Eulalio
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Min Woo Sun
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Olivier Gevaert
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Michael D Greicius
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | | |
Collapse
|
4
|
Knisely MR, Masese RV, Mathias JG, Yang Q, Hatch D, Lê BM, Luyster F, Garrett ME, Tanabe PJ, Shah NR, Ashley-Koch A. Epigenetic Aging Associations With Psychoneurological Symptoms and Social Functioning in Adults With Sickle Cell Disease. Biol Res Nurs 2024:10998004241250322. [PMID: 38679469 DOI: 10.1177/10998004241250322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Objective: Sickle cell disease (SCD), the most common inherited blood disorder in the United States, is associated with severe psychoneurological symptoms. While epigenetic age acceleration has been linked to psychoneurological symptom burden in other diseases, this connection is unexplored in SCD. This study aimed to assess the association between epigenetic age acceleration and psychoneurological symptom burden in SCD. Methods: In this cross-sectional study, emotional impact, pain impact, sleep impact, social functioning, and cognitive function were assessed in 87 adults living with SCD. DNA methylation data were generated from blood specimens and used to calculate epigenetic age using five clocks (Horvath, Hannum, PhenoAge, GrimAge, & DunedinPACE). Associations between epigenetic age acceleration and symptoms were assessed. Results: The sample (N = 87) had a mean (SD) chronologic age was 30.6 (8.1) years. Epigenetic age acceleration was associated with several symptom outcomes. GrimAge age acceleration (β = -0.49, p = .03) and increased DunedinPACE (β = -2.23, p = .004) were associated with worse emotional impact scores. PhenoAge (β = -0.32, p = .04) and the GrimAge (β = -0.48, p = .05) age acceleration were associated with worse pain impact scores. Increased DunedinPACE (β = -2.07 p = .04) were associated with worse sleep impact scores. Increased DunedinPACE (β = -2.87, p = .005) was associated with worse social functioning scores. We did not find associations between epigenetic age acceleration and cognitive function in this sample. Conclusion: Epigenetic age acceleration was associated with worse symptom experiences, suggesting the potential for epigenetic age acceleration as a biomarker to aid in risk stratification or targets for intervention to mitigate symptom burden in SCD.
Collapse
Affiliation(s)
| | - Rita V Masese
- Center for Bioethics, Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joacy G Mathias
- Division of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Qing Yang
- Duke University School of Nursing, Durham, NC, USA
| | - Daniel Hatch
- Duke University School of Nursing, Durham, NC, USA
| | - Brandon M Lê
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Faith Luyster
- University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | | | | | - Nirmish R Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Allison Ashley-Koch
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| |
Collapse
|
5
|
Palagini L, Geoffroy PA, Gehrman PR, Miniati M, Gemignani A, Riemann D. Potential genetic and epigenetic mechanisms in insomnia: A systematic review. J Sleep Res 2023; 32:e13868. [PMID: 36918298 DOI: 10.1111/jsr.13868] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 03/16/2023]
Abstract
Insomnia is a stress-related sleep disorder conceptualised within a diathesis-stress framework, which it is thought to result from predisposing factors interacting with precipitating stressful events that trigger the development of insomnia. Among predisposing factors genetics and epigenetics may play a role. A systematic review of the current evidence for the genetic and epigenetic basis of insomnia was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system. A total of 24 studies were collected for twins and family heritability, 55 for genome-wide association studies, 26 about candidate genes for insomnia, and eight for epigenetics. Data showed that insomnia is a complex polygenic stress-related disorder, and it is likely to be caused by a synergy of genetic and environmental factors, with stress-related sleep reactivity being the important trait. Even if few studies have been conducted to date on insomnia, epigenetics may be the framework to understand long-lasting consequences of the interaction between genetic and environmental factors and effects of stress on the brain in insomnia. Interestingly, polygenic risk for insomnia has been causally linked to different mental and medical disorders. Probably, by treating insomnia it would be possible to intervene on the effect of stress on the brain and prevent some medical and mental conditions.
Collapse
Affiliation(s)
- Laura Palagini
- Department of Clinical and Experimental Medicine, Unit of Psychiatry, Azienda Ospedaliero Universitaria Pisana AUOP, Pisa, Italy
| | - Pierre A Geoffroy
- Département de Psychiatrie et D'Addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat - Claude Bernard, Paris, France
- GHU Paris - Psychiatry and Neurosciences, Paris, France
- Université de Paris, NeuroDiderot, INSERM, Paris, France
| | - Philip R Gehrman
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Psychiatry, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mario Miniati
- Department of Clinical and Experimental Medicine, Unit of Psychiatry, Azienda Ospedaliero Universitaria Pisana AUOP, Pisa, Italy
| | - Angelo Gemignani
- Unit of Psychology, Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Azienda Ospedaliero Universitaria Pisana AUOP, Pisa, Italy
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| |
Collapse
|
6
|
Tao Y, Qin Y, Chen S, Xu T, Lin J, Su D, Yu W, Chen X. Emerging trends and hot spots of sleep and genetic research: a bibliometric analysis of publications from 2002 to 2022 in the field. Front Neurol 2023; 14:1264177. [PMID: 38020599 PMCID: PMC10663257 DOI: 10.3389/fneur.2023.1264177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 10/04/2023] [Indexed: 12/01/2023] Open
Abstract
Background Sleep is an important biological process and has been linked to many diseases; however, very little is known about which and how genes control and regulate sleep. Although technology has seen significant development, this issue has still not been adequately resolved. Therefore, we conducted a bibliometric analysis to assess the progress in research on sleep quality and associated genes over the past 2 decades. Through our statistical data and discussions, we aimed to provide researchers with better research directions and ideas, thus promoting the advancement of this field. Methods On December 29, 2022, we utilized bibliometric techniques, such as co-cited and cluster analysis and keyword co-occurrence, using tools such as CiteSpace, VOSviewer, and the Online Analysis Platform of Literature Metrology (http://bibliometric.com/), to conduct a thorough examination of the relevant publications extracted from the Web of Science Core Collection (WoSCC). Our analysis aimed to identify the emerging trends and hot spots in this field while also predicting their potential development in future. Results Cluster analysis of the co-cited literature revealed the most popular terms relating to sleep quality and associated genes in the manner of cluster labels; these included genome-wide association studies (GWAS), circadian rhythms, obstructive sleep apnea (OSA), DNA methylation, and depression. Keyword burst detection suggested that obstructive sleep apnea, circadian clock, circadian genes, and polygenic risk score were newly emergent research hot spots. Conclusion Based on this bibliometric analysis of the publications in the last 20 years, a comprehensive analysis of the literature clarified the contributions, changes in research hot spots, and evolution of research techniques regarding sleep quality and associated genes. This research can provide medical staff and researchers with revelations into future directions of the study on the pathological mechanisms of sleep-related diseases.
Collapse
Affiliation(s)
- Ying Tao
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Yi Qin
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Sifan Chen
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Tian Xu
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Junhui Lin
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Diansan Su
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Weifeng Yu
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| | - Xuemei Chen
- Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Anesthesiology (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China
| |
Collapse
|
7
|
Tang Y, Gan H, Wang B, Wang X, Li M, Yang Q, Geng M, Zhu P, Shao S, Tao F. Mediating effects of DNA methylation in the association between sleep quality and infertility among women of childbearing age. BMC Public Health 2023; 23:1802. [PMID: 37715240 PMCID: PMC10503064 DOI: 10.1186/s12889-023-16681-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/01/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND This study aims to investigate the association between sleep quality and infertility among women and to explore the mediating effects of DNA methylation in this association. METHODS This study is a population-based case-control study. The relationship between sleep quality and infertility was investigated in women with anovulatory infertility (n = 43) and healthy controls (n = 43). Genome-wide DNA methylation was profiled from peripheral blood samples using the Illumina Infinium Human Methylation 850k BeadChip. Differentially methylated CpGs between cases and controls were identified using the ChAMP R package. The mediating effect of DNA methylation between sleep quality and infertility among women was investigated using the Bayesian estimation method provided by the R package "mediation". RESULTS The survey included 86 women of reproductive age, with 43 participants each in the case and control groups. The average age of the women was 27.6 ± 2.8 years (case group: 27.8 ± 3.0 years, control group: 27.4 ± 2.7 years). A total of 262 differentially methylated CpGs corresponding to 185 genes were identified. Difficulty falling asleep was a risk factor for infertility in women (OR = 3.69, 95%CI = 1.14, 11.99), and a causal mediation effect of DNA methylation CpGs was found. The mediating effect coefficient for cg08298632 was 0.10 (95%CI = 0.01-0.22), and the proportion of the total effect mediated by this methylation site increased to 64.3%. CONCLUSION These results suggest that DNA methylation CpGs (cg08298632) play a significant role in the relationship between difficulty falling asleep and infertility in females. These findings contribute to our understanding of the underlying mechanisms that connect difficulty falling asleep and infertility in women. Further studies are necessary to fully understand the biological significance and potential therapeutic applications of these findings. The identified DNA methylation sites provide new and valuable insights and potential targets for future studies aiming to prevent and treat female infertility.
Collapse
Affiliation(s)
- Ying Tang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hong Gan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Baolin Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xiaorui Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Mengdie Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qianhui Yang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Menglong Geng
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Shanshan Shao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, No 81 Meishan Road, Hefei, 230032, Anhui, China.
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, No 81 Meishan Road, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
| |
Collapse
|
8
|
Larsen M, He F, Kawasawa YI, Berg A, Vgontzas AN, Liao D, Bixler EO, Fernandez-Mendoza J. Objective and subjective measures of sleep initiation are differentially associated with DNA methylation in adolescents. Clin Epigenetics 2023; 15:136. [PMID: 37634000 PMCID: PMC10464279 DOI: 10.1186/s13148-023-01553-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 08/14/2023] [Indexed: 08/28/2023] Open
Abstract
INTRODUCTION The onset of puberty is associated with a shift in the circadian timing of sleep, leading to delayed sleep initiation [i.e., later sleep onset time (SOT)] due to later bedtimes and/or longer sleep onset latency (SOL). Several genome-wide association studies (GWAS) have identified genes that may be involved in the etiology of sleep phenotypes. However, circadian rhythms are also epigenetically regulated; therefore, epigenetic biomarkers may provide insight into the physiology of the pubertal sleep onset shift and the pathophysiology of prolonged or delayed sleep initiation. RESULTS The gene-wide analysis indicated differential methylation within or around 1818 unique genes across the sleep initiation measurements using self-report, actigraphy (ACT), and polysomnography (PSG), while GWAS-informed analysis yielded 67 genes. Gene hits were identified for bedtime (PSG), SOL (subjective, ACT and PSG) and SOT (subjective and PSG). DNA methylation within 12 genes was associated with both subjective and PSG-measured SOL, 31 with both ACT- and PSG-measured SOL, 19 with both subjective and ACT-measured SOL, and one gene (SMG1P2) had methylation sites associated with subjective, ACT- and PSG-measured SOL. CONCLUSIONS Objective and subjective sleep initiation in adolescents is associated with altered DNA methylation in genes previously identified in adult GWAS of sleep and circadian phenotypes. Additionally, our data provide evidence for a potential epigenetic link between habitual (subjective and ACT) SOL and in-lab SOT and DNA methylation in and around genes involved in circadian regulation (i.e., RASD1, RAI1), cardiometabolic disorders (i.e., FADS1, WNK1, SLC5A6), and neuropsychiatric disorders (i.e., PRR7, SDK1, FAM172A). If validated, these sites may provide valuable targets for early detection and prevention of disorders involving prolonged or delayed SOT, such as insomnia, delayed sleep phase, and their comorbidity.
Collapse
Affiliation(s)
- Michael Larsen
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Fan He
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Yuka Imamura Kawasawa
- Departments of Biochemistry and Molecular Biology and Pharmacology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Arthur Berg
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Alexandros N Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Duanping Liao
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Edward O Bixler
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry & Behavioral Health, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA.
| |
Collapse
|
9
|
Gabova AV, Sarkisova KY. Maternal Methyl-Enriched Diet Normalizes Characteristics of the Sleep–Wake Cycle and Sleep Spindles in Adult Offspring of WAG/Rij Rats with Genetic Absence Epilepsy. J EVOL BIOCHEM PHYS+ 2023. [DOI: 10.1134/s0022093023010143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
|
10
|
Gandhi AA, Wilson TA, Sisley S, Elsea SH, Foster RH. Relationships between food-related behaviors, obesity, and medication use in individuals with Smith-Magenis syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2022; 127:104257. [PMID: 35597045 DOI: 10.1016/j.ridd.2022.104257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 04/01/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Smith-Magenis syndrome (SMS) is a complex neurodevelopmental disorder that includes obesity and food-seeking/satiety-related behaviors. AIMS This study examined associations between food-related/hyperphagic behaviors, weight, and medication use in individuals with SMS. METHODS/PROCEDURES Caregivers of individuals with SMS in the Parents and Researchers Interested in SMS (PRISMS) Patient Registry completed a demographic/medication questionnaire, the Hyperphagia Questionnaire for Clinical Trials, and the Food Related Problems Questionnaire. OUTCOMES/RESULTS Among 49 participants (Mage = 16.41 ± 12.73 years, range = 4-69 years, 55% girls/women), individuals with SMS with overweight/obesity (n = 22) had worse overall food-related problems including greater impaired satiety (p < 0.05), maladaptive eating behaviors (p < 0.05), inappropriate response (p < 0.01), and hyperphagia (p < 0.01) compared to individuals of normal/underweight (n = 27). Those taking anti-depressants/anxiolytics (n = 16) had greater maladaptive eating behaviors (p < 0.05), hyperphagic behaviors (p < 0.05), and hyperphagic severity (p < 0.05) than those not taking anti-depressants/anxiolytics (n = 33). Boys/men with SMS had greater maladaptive eating behaviors (p < 0.05), inappropriate response (p < 0.05), and hyperphagic drive (p < 0.01) than girls/women with SMS. CONCLUSIONS/IMPLICATIONS Maladaptive food-related behaviors were higher in individuals with SMS with overweight/obesity, taking anti-depressants/anxiolytics, or who were male. Medications in this population should be chosen with weight-related side effects in mind.
Collapse
Affiliation(s)
- Anusha A Gandhi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Theresa A Wilson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Stephanie Sisley
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Children's Nutrition Research Center, Houston, TX 77030, USA
| | - Sarah H Elsea
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Rebecca H Foster
- Department of Psychology, St. Louis Children's Hospital, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| |
Collapse
|
11
|
Simanek AM, Manansala R, Woo JMP, Meier HCS, Needham BL, Auer PL. Prenatal Socioeconomic Disadvantage and Epigenetic Alterations at Birth Among Children Born to White British and Pakistani Mothers in the Born in Bradford Study. Epigenetics 2022; 17:1976-1990. [PMID: 35837690 DOI: 10.1080/15592294.2022.2098569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Prenatal socioeconomic disadvantage (SD) has been linked to DNA methylation (DNAm) in adulthood, but whether such epigenetic alterations are present at birth remains unclear. We carried out an epigenome-wide analysis of the association between several measures of individual- and area-level prenatal SD and DNAm assessed in neonatal cord blood via the Infinium EpicBeadChip among offspring born to mothers of White British (N = 455) and Pakistani (N = 493) origin in the Born in Bradford Study. Models were adjusted for mother's age, ethnicity, and education level as well as cell-type fractions and then for maternal health behaviours and neonate characteristics, and last, stratified by mother's ethnicity. P-values were corrected for multiple testing and a permutation-based approach was used to account for small cell sizes. Among all children, housing tenure (owning versus renting) as well as father's occupation (manual versus non-manual) were each associated with DNAm of one CpG site and index of multiple deprivation (IMD) was associated with DNAm of 11 CpG sites. Among children born to White British mothers, father's occupation (student or unemployed versus non-manual) was associated with DNAm of 1 CpG site and IMD with DNAm of 3 CpG sites. Among children born to Pakistani mothers, IMD was associated with DNAm of 1 CpG site. Associations were largely unchanged after further adjustment for maternal health behaviours or neonate characteristics and remained statistically significant. Our findings suggest that individual- and area-level prenatal SD may shape alterations to the neonatal epigenome, but associations vary across ethnic groups.
Collapse
Affiliation(s)
- Amanda M Simanek
- University of Wisconsin-Milwaukee Joseph J. Zilber School of Public Health, Milwaukee, WI, USA
| | - Regina Manansala
- Centre for Health Economics Research & Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO) WHO Collaborating Centre, University of Antwerp, Antwerp, Belgium
| | - Jennifer M P Woo
- University of Wisconsin-Milwaukee Joseph J. Zilber School of Public Health, Milwaukee, WI, USA.,Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Helen C S Meier
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Belinda L Needham
- Department of Epidemiology, University of Michigan-School of Public Health, Ann Arbor, MI, USA
| | - Paul L Auer
- Division of Biostatistics and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| |
Collapse
|
12
|
Sammallahti S, Koopman-Verhoeff ME, Binter AC, Mulder RH, Cabré-Riera A, Kvist T, Malmberg ALK, Pesce G, Plancoulaine S, Heiss JA, Rifas-Shiman SL, Röder SW, Starling AP, Wilson R, Guerlich K, Haftorn KL, Page CM, Luik AI, Tiemeier H, Felix JF, Raikkonen K, Lahti J, Relton CL, Sharp GC, Waldenberger M, Grote V, Heude B, Annesi-Maesano I, Hivert MF, Zenclussen AC, Herberth G, Dabelea D, Grazuleviciene R, Vafeiadi M, Håberg SE, London SJ, Guxens M, Richmond RC, Cecil CAM. Longitudinal associations of DNA methylation and sleep in children: a meta-analysis. Clin Epigenetics 2022; 14:83. [PMID: 35790973 PMCID: PMC9258202 DOI: 10.1186/s13148-022-01298-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sleep is important for healthy functioning in children. Numerous genetic and environmental factors, from conception onwards, may influence this phenotype. Epigenetic mechanisms such as DNA methylation have been proposed to underlie variation in sleep or may be an early-life marker of sleep disturbances. We examined if DNA methylation at birth or in school age is associated with parent-reported and actigraphy-estimated sleep outcomes in children. METHODS We meta-analysed epigenome-wide association study results. DNA methylation was measured from cord blood at birth in 11 cohorts and from peripheral blood in children (4-13 years) in 8 cohorts. Outcomes included parent-reported sleep duration, sleep initiation and fragmentation problems, and actigraphy-estimated sleep duration, sleep onset latency and wake-after-sleep-onset duration. RESULTS We found no associations between DNA methylation at birth and parent-reported sleep duration (n = 3658), initiation problems (n = 2504), or fragmentation (n = 1681) (p values above cut-off 4.0 × 10-8). Lower methylation at cg24815001 and cg02753354 at birth was associated with longer actigraphy-estimated sleep duration (p = 3.31 × 10-8, n = 577) and sleep onset latency (p = 8.8 × 10-9, n = 580), respectively. DNA methylation in childhood was not cross-sectionally associated with any sleep outcomes (n = 716-2539). CONCLUSION DNA methylation, at birth or in childhood, was not associated with parent-reported sleep. Associations observed with objectively measured sleep outcomes could be studied further if additional data sets become available.
Collapse
Affiliation(s)
- Sara Sammallahti
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.7737.40000 0004 0410 2071Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - M. Elisabeth Koopman-Verhoeff
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5132.50000 0001 2312 1970Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Anne-Claire Binter
- Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Rosa H. Mulder
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alba Cabré-Riera
- grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003 Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tuomas Kvist
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anni L. K. Malmberg
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Giancarlo Pesce
- grid.462844.80000 0001 2308 1657INSERM UMR-S 1136, Team of Epidemiology of Allergic and Respiratory Diseases (EPAR), Institute Pierre Louis of Epidemiology and Public Health (IPLESP), Sorbonne University, Paris, France
| | - Sabine Plancoulaine
- grid.508487.60000 0004 7885 7602CRESS, Inserm, INRAE, Université de Paris Cité, Paris, France
| | - Jonathan A. Heiss
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Sheryl L. Rifas-Shiman
- grid.67104.340000 0004 0415 0102Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA USA
| | - Stefan W. Röder
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Anne P. Starling
- grid.430503.10000 0001 0703 675XDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XCenter for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.10698.360000000122483208Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Rory Wilson
- grid.4567.00000 0004 0483 2525Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria Germany
| | - Kathrin Guerlich
- grid.411095.80000 0004 0477 2585Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Kristine L. Haftorn
- grid.418193.60000 0001 1541 4204Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway ,grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway ,grid.5510.10000 0004 1936 8921Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Christian M. Page
- grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Mathematics, University of Oslo, Oslo, Norway
| | - Annemarie I. Luik
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.38142.3c000000041936754XDepartment of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Janine F. Felix
- grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Katri Raikkonen
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Caroline L. Relton
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gemma C. Sharp
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Melanie Waldenberger
- grid.4567.00000 0004 0483 2525Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria Germany
| | - Veit Grote
- grid.411095.80000 0004 0477 2585Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Barbara Heude
- grid.508487.60000 0004 7885 7602CRESS, Inserm, INRAE, Université de Paris Cité, Paris, France
| | - Isabella Annesi-Maesano
- grid.121334.60000 0001 2097 0141IDESP, University of Montpellier and INSERM, Montpellier, France
| | - Marie-France Hivert
- grid.67104.340000 0004 0415 0102Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA USA
| | - Ana C. Zenclussen
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Perinatal Immunology Group, Saxonian Incubator for Clinical Translation - SIKT, Leipzig University, Leipzig, Germany
| | - Gunda Herberth
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Dana Dabelea
- grid.430503.10000 0001 0703 675XDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XCenter for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XDepartment of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Regina Grazuleviciene
- grid.19190.300000 0001 2325 0545Department of Environmental Science, Vytautas Magnus University, Kaunas, Lithuania
| | - Marina Vafeiadi
- grid.8127.c0000 0004 0576 3437Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete Greece
| | - Siri E. Håberg
- grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J. London
- grid.280664.e0000 0001 2110 5790Epidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC USA
| | - Mònica Guxens
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003 Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Rebecca C. Richmond
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Charlotte A. M. Cecil
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.10419.3d0000000089452978Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands ,grid.13097.3c0000 0001 2322 6764Department of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King’s College London, London, UK
| |
Collapse
|
13
|
Sleight AG, Crowder SL, Skarbinski J, Coen P, Parker NH, Hoogland AI, Gonzalez BD, Playdon MC, Cole S, Ose J, Murayama Y, Siegel EM, Figueiredo JC, Jim HSL. A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care. Cancers (Basel) 2022; 14:cancers14081982. [PMID: 35454890 PMCID: PMC9027717 DOI: 10.3390/cancers14081982] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/12/2022] [Accepted: 04/12/2022] [Indexed: 01/02/2023] Open
Abstract
Simple Summary For the growing number of cancer survivors worldwide, fatigue presents a major hurdle to function and quality of life. Treatment options for cancer-related fatigue are still emerging, and our current understanding of its etiology is limited. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. We propose that the 3P model may be leveraged—particularly using metabolomics, the microbiome, and inflammation in conjunction with behavioral science—to better understand the pathophysiology of cancer-related fatigue. Abstract A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model’s application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.
Collapse
Affiliation(s)
- Alix G. Sleight
- Department of Physical Medicine & Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
- Center for Integrated Research in Cancer and Lifestyle, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sylvia L. Crowder
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94501, USA;
- Department of Infectious Diseases, Oakland Medical Center, Kaiser Permanente Northern California, Oakland, CA 94501, USA
- Physician Researcher Program, Kaiser Permanente Northern California, Oakland, CA 94501, USA
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA 94501, USA
| | - Paul Coen
- AdventHealth Orlando, Translational Research Institute, Orlando, FL 32804, USA;
| | - Nathan H. Parker
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Aasha I. Hoogland
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Brian D. Gonzalez
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
| | - Mary C. Playdon
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84044, USA;
- Department of Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84044, USA
| | - Steven Cole
- Department of Psychiatry & Biobehavioral Sciences and Medicine, University of California, Los Angeles, CA 90001, USA;
| | - Jennifer Ose
- Department of Population Sciences, University of Utah, Salt Lake City, UT 84044, USA;
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84044, USA
| | - Yuichi Murayama
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.M.); (J.C.F.)
| | - Erin M. Siegel
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33601, USA;
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.M.); (J.C.F.)
| | - Heather S. L. Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA; (S.L.C.); (N.H.P.); (A.I.H.); (B.D.G.)
- Correspondence:
| |
Collapse
|
14
|
Paiva T, Canas-Simião H. Sleep and violence perpetration: A review of biological and environmental substrates. J Sleep Res 2022; 31:e13547. [PMID: 35037316 DOI: 10.1111/jsr.13547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 11/27/2022]
Abstract
Violence is a worldwide societal burden that negatively impacts individual health, wellbeing and economic development. Evidence suggests a bidirectional relationship between sleep changes and violence. This review details, evaluates and discusses the biological and demographic substrates linking sleep and violence perpetration, and summarizes the overlap of brain areas, functional neuronal systems and genetic features involved, not including violent behaviours during sleep. Knowledge on the biological variables that affect the individual's susceptibility to violent behaviour may have implications for criminology, management of detentions and rehabilitation strategies.
Collapse
Affiliation(s)
- Teresa Paiva
- Sleep and Medicine Center (CENC), Comprehensive Health Research Center (CHRC), Instituto de Saúde Ambiental - Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Hugo Canas-Simião
- Psychiatry and Mental Health Department, Centro Hospitalar de Lisboa Ocidental (CHLO); Comprehensive Health Research Center (CHRC); Sleep and Medicine Center (CENC), Lisbon, Portugal
| |
Collapse
|
15
|
An YC, Tsai CL, Liang CS, Lin YK, Lin GY, Tsai CK, Liu Y, Chen SJ, Tsai SH, Hung KS, Yang FC. Identification of Novel Genetic Variants Associated with Insomnia and Migraine Comorbidity. Nat Sci Sleep 2022; 14:1075-1087. [PMID: 35698589 PMCID: PMC9188338 DOI: 10.2147/nss.s365988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/01/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Although insomnia and migraine are often comorbid, the genetic association between insomnia and migraine remains unclear. This study aimed to identify susceptibility loci associated with insomnia and migraine comorbidity. PATIENTS AND METHODS We performed a genome-wide association study (GWAS) involving 1063 clinical outpatients at a tertiary hospital in Taiwan. Migraineurs with and without insomnia were genotyped using the Affymetrix Axiom Genome-Wide TWB 2.0. We performed association analyses for the entire cohort and stratified patients into the following subgroups: episodic migraine (EM), chronic migraine (CM), migraine with aura (MA), and migraine without aura (MoA). Potential correlations between SNPs and clinical indices in migraine patients with insomnia were examined using multivariate regression analysis. RESULTS The SNP rs1178326 in the gene HDAC9 was significantly associated with insomnia. In the EM, CM, MA, and MoA subgroups, we identified 30 additional susceptibility loci. Multivariate regression analysis showed that SNP rs1178326 also correlated with higher migraine frequency and the Migraine Disability Assessment (MIDAS) questionnaire score. Finally, two SNPs that had been previously reported in a major insomnia GWAS were also significant in our migraineurs, showing a concordant effect. CONCLUSION In this GWAS, we identified several novel loci associated with insomnia in migraineurs in a Han Chinese population in Taiwan. These results provide insights into the possible genetic basis of insomnia and migraine comorbidity.
Collapse
Affiliation(s)
- Yu-Chin An
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chih-Sung Liang
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Yu-Kai Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Guan-Yu Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Yi Liu
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Sy-Jou Chen
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Shih-Hung Tsai
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Kuo-Sheng Hung
- Center for Precision Medicine and Genomics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China
| |
Collapse
|
16
|
Gharipour M, Mani A, Amini Baghbahadorani M, de Souza Cardoso CK, Jahanfar S, Sarrafzadegan N, de Oliveira C, Silveira EA. How Are Epigenetic Modifications Related to Cardiovascular Disease in Older Adults? Int J Mol Sci 2021; 22:9949. [PMID: 34576113 PMCID: PMC8470616 DOI: 10.3390/ijms22189949] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/08/2021] [Accepted: 09/09/2021] [Indexed: 12/16/2022] Open
Abstract
The rate of aging has increased globally during recent decades and has led to a rising burden of age-related diseases such as cardiovascular disease (CVD). At the molecular level, epigenetic modifications have been shown recently to alter gene expression during the life course and impair cellular function. In this regard, several CVD risk factors, such as lifestyle and environmental factors, have emerged as key factors in epigenetic modifications within the cardiovascular system. In this study, we attempted to summarized recent evidence related to epigenetic modification, inflammation response, and CVD in older adults as well as the effect of lifestyle modification as a preventive strategy in this age group. Recent evidence showed that lifestyle and environmental factors may affect epigenetic mechanisms, such as DNA methylation, histone acetylation, and miRNA expression. Several substances or nutrients such as selenium, magnesium, curcumin, and caffeine (present in coffee and some teas) could regulate epigenetics. Similarly, physical inactivity, alcohol consumption, air pollutants, psychological stress, and shift working are well-known modifiers of epigenetic patterns. Understanding the exact ways that lifestyle and environmental factors could affect the expression of genes could help to influence the time of incidence and severity of aging-associated diseases. This review highlighted that a healthy lifestyle throughout the life course, such as a healthy diet rich in fibers, vitamins, and essential elements, and specific fatty acids, adequate physical activity and sleep, smoking cessation, and stress control, could be useful tools in preventing epigenetic changes that lead to impaired cardiovascular function.
Collapse
Affiliation(s)
- Mojgan Gharipour
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 8158388994, Iran;
| | - Arya Mani
- Cardiovascular Research Center, Department of Internal Medicine, and Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA;
| | - Mona Amini Baghbahadorani
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 8158388994, Iran;
| | - Camila Kellen de Souza Cardoso
- School of Social Sciences and Health, Nutrition Course, Pontifical Catholic University of Goias, Goiânia 74605-010, Brazil;
| | - Shayesteh Jahanfar
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MI 02111, USA;
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan 8158388994, Iran;
- Faculty of Medicine, School of Population and Public Health, The University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Cesar de Oliveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London WC1E 6BT, UK;
| | - Erika Aparecida Silveira
- Department of Epidemiology & Public Health, Institute of Epidemiology & Health Care, University College London, London WC1E 6BT, UK;
- Graduate Program in Health Sciences, Faculty of Medicine, Federal University of Goiás, Goiânia 74690-900, Brazil
| |
Collapse
|
17
|
Ramirez K, Fernández R, Collet S, Kiyar M, Delgado-Zayas E, Gómez-Gil E, Van Den Eynde T, T'Sjoen G, Guillamon A, Mueller SC, Pásaro E. Epigenetics Is Implicated in the Basis of Gender Incongruence: An Epigenome-Wide Association Analysis. Front Neurosci 2021; 15:701017. [PMID: 34489625 PMCID: PMC8418298 DOI: 10.3389/fnins.2021.701017] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/30/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction The main objective was to carry out a global DNA methylation analysis in a population with gender incongruence before gender-affirming hormone treatment (GAHT), in comparison to a cisgender population. Methods A global CpG (cytosine-phosphate-guanine) methylation analysis was performed on blood from 16 transgender people before GAHT vs. 16 cisgender people using the Illumina© Infinium Human Methylation 850k BeadChip, after bisulfite conversion. Changes in the DNA methylome in cisgender vs. transgender populations were analyzed with the Partek® Genomics Suite program by a 2-way ANOVA test comparing populations by group and their sex assigned at birth. Results The principal components analysis (PCA) showed that both populations (cis and trans) differ in the degree of global CpG methylation prior to GAHT. The 2-way ANOVA test showed 71,515 CpGs that passed the criterion FDR p < 0.05. Subsequently, in male assigned at birth population we found 87 CpGs that passed both criteria (FDR p < 0.05; fold change ≥ ± 2) of which 22 were located in islands. The most significant CpGs were related to genes: WDR45B, SLC6A20, NHLH1, PLEKHA5, UBALD1, SLC37A1, ARL6IP1, GRASP, and NCOA6. Regarding the female assigned at birth populations, we found 2 CpGs that passed both criteria (FDR p < 0.05; fold change ≥ ± 2), but none were located in islands. One of these CpGs, related to the MPPED2 gene, is shared by both, trans men and trans women. The enrichment analysis showed that these genes are involved in functions such as negative regulation of gene expression (GO:0010629), central nervous system development (GO:0007417), brain development (GO:0007420), ribonucleotide binding (GO:0032553), and RNA binding (GO:0003723), among others. Strengths and Limitations It is the first time that a global CpG methylation analysis has been carried out in a population with gender incongruence before GAHT. A prospective study before/during GAHT would provide a better understanding of the influence of epigenetics in this process. Conclusion The main finding of this study is that the cis and trans populations have different global CpG methylation profiles prior to GAHT. Therefore, our results suggest that epigenetics may be involved in the etiology of gender incongruence.
Collapse
Affiliation(s)
- Karla Ramirez
- Laboratory of Psychobiology, Department of Psychology, Institute Advanced Scientific Research Center (CICA), University of A Coruña, A Coruña, Spain.,Laboratory of Neurophysiology, Center for Biophysics and Biochemistry, Venezuelan Institute for Scientific Research (IVIC), Caracas, Venezuela
| | - Rosa Fernández
- Laboratory of Psychobiology, Department of Psychology, Institute Advanced Scientific Research Center (CICA), University of A Coruña, A Coruña, Spain
| | - Sarah Collet
- Department of Endocrinology, Ghent University, Ghent, Belgium
| | - Meltem Kiyar
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Enrique Delgado-Zayas
- Laboratory of Psychobiology, Department of Psychology, Institute Advanced Scientific Research Center (CICA), University of A Coruña, A Coruña, Spain
| | | | | | - Guy T'Sjoen
- Department of Endocrinology, Ghent University, Ghent, Belgium
| | - Antonio Guillamon
- Department of Psychobiology, Faculty of Psychology, National University of Distance Education (UNED), Madrid, Spain
| | - Sven C Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Eduardo Pásaro
- Laboratory of Psychobiology, Department of Psychology, Institute Advanced Scientific Research Center (CICA), University of A Coruña, A Coruña, Spain
| |
Collapse
|
18
|
Saadatmand F, Gurdziel K, Jackson L, Kwabi-Addo B, Ruden DM. DNA methylation and exposure to violence among African American young adult males. Brain Behav Immun Health 2021; 14:100247. [PMID: 34589758 PMCID: PMC8474503 DOI: 10.1016/j.bbih.2021.100247] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/18/2021] [Accepted: 03/22/2021] [Indexed: 02/02/2023] Open
Abstract
Exposure to violence (ETV) has been linked to epigenomics mechanisms such as DNA methylation (DNAm). We used epigenetic profiling of blood collected from 32 African American young adult males who lived in Washington DC to determine if changes in DNAm at CpG sites affiliated with nervous and immune system were associated with exposure to violence. Pathway analysis of differentially methylated regions comparing high and low ETV groups revealed an enrichment of gene sets annotated to nervous system and immune ontologies. Many of these genes are known to interact with each other which suggests DNAm alters gene function in the nervous and immune system in response to ETV. Using data from a unique age group, young African American adult males, we provide evidence that lifetime ETV could impact DNA methylation in genes impacted at Central Nervous System and Immune Function sites. METHOD Methylation analysis was performed on DNA collected from the blood of participants classified with either high or low lifetime ETV. Illumina®MethylationEPIC Beadchips (~850k CpG sites) were processed on the iScan System to examine whole-genome methylation differences. Differentially methylated CpG-sites between high (n = 19) and low (n = 13) groups were identified using linear regression with violence and substance abuse as model covariates. Gene ontology analysis was used to identify enrichment categories from probes annotated to the nearest gene. RESULTS A total of 595 probes (279 hypermethylated; 316 hypomethylated) annotated to 383 genes were considered differentially methylated in association with ETV. Males with high ETV showed elevated methylation in several signaling pathways but were most impacted at Central Nervous System and Immune Function affiliated sites. Eight candidate genes were identified that play important biological roles in stress response to violence with HDAC4 (10%), NR4A3 (11%), NR4A2 (12%), DSCAML1(12%), and ELAVL3 (13%) exhibiting higher levels in the low ETV group and DLGAP1 (10%), SHANK2 (10%), and NRG1(11%) having increased methylation in the high ETV group. These findings suggest that individuals subjected to high ETV may be at risk for poor health outcomes that have not been reported previously.
Collapse
Affiliation(s)
- Forough Saadatmand
- Department of Pediatrics, College of Medicine, Howard University, Washington, DC, USA
| | - Katherine Gurdziel
- Office of the Vice President of Research, Wayne State University, Detroit, MI, USA
| | - Latifa Jackson
- Department of Pediatrics, College of Medicine, Howard University, Washington, DC, USA
- W. Montague Cobb Research Laboratory, College of Arts and Sciences, Howard University, Washington, DC, USA
| | - Bernard Kwabi-Addo
- Department of Biochemistry and Molecular Biology, College of Medicine, Howard University, Washington, DC, USA
| | - Douglas M. Ruden
- Department of Ob/Gyn, CS Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI, USA
- Institutes for Environmental Health Science, Wayne State University School of Medicine, Detroit, MI, USA
| |
Collapse
|
19
|
Abstract
This review summarizes the available data about genetic factors which can link ischemic stroke and sleep. Sleep patterns (subjective and objective measures) are characterized by heritability and comprise up to 38-46%. According to Mendelian randomization analysis, genetic liability for short sleep duration and frequent insomnia symptoms is associated with ischemic stroke (predominantly of large artery subtype). The potential genetic links include variants of circadian genes, genes encoding components of neurotransmitter systems, common cardiovascular risk factors, as well as specific genetic factors related to certain sleep disorders.
Collapse
Affiliation(s)
- Lyudmila Korostovtseva
- Sleep Laboratory, Research Department for Hypertension, Department for Cardiology, Almazov National Medical Research Centre, 2 Akkuratov Str., Saint Petersburg, 197341, Russia.
| |
Collapse
|
20
|
Toxicology of Blister Agents: Is Melatonin a Potential Therapeutic Option? Diseases 2021; 9:diseases9020027. [PMID: 33920224 PMCID: PMC8167553 DOI: 10.3390/diseases9020027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 03/29/2021] [Accepted: 04/07/2021] [Indexed: 02/07/2023] Open
Abstract
Blister or vesicant chemical warfare agents (CWAs) have been widely used in different military conflicts, including World War I and the Iran-Iraq War. However, their mechanism of action is not fully understood. Sulfur and nitrogen mustard exert toxic effects not only through the alkylation of thiol-bearing macromolecules, such as DNA and proteins, but also produce free radicals that can develop direct toxic effects in target organs such as the eyes, skin, and respiratory system. The lack of effective treatments against vesicant CWAs-induced injury makes us consider, in this complex scenario, the use and development of melatonin-based therapeutic strategies. This multifunctional indoleamine could facilitate neutralization of the oxidative stress, modulate the inflammatory response, and prevent the DNA damage, as well as the long-term health consequences mediated by vesicant CWAs-induced epigenetic mechanisms. In this context, it would be essential to develop new galenic formulations for the use of orally and/or topically applied melatonin for the prophylaxis against vesicant CWAs, as well as the development of post-exposure treatments in the near future.
Collapse
|
21
|
Pallesen S, Bjorvatn B, Waage S, Harris A, Sagoe D. Prevalence of Shift Work Disorder: A Systematic Review and Meta-Analysis. Front Psychol 2021; 12:638252. [PMID: 33833721 PMCID: PMC8021760 DOI: 10.3389/fpsyg.2021.638252] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 02/15/2021] [Indexed: 12/11/2022] Open
Abstract
Objectives: No systematic review or meta-analysis concerning the prevalence of shift work disorder (SWD) has been conducted so far. The aim was thus to review prevalence studies of SWD, to calculate an overall prevalence by a random effects meta-analysis approach and investigate correlates of SWD prevalence using a random-effects meta-regression. Methods: Systematic searches were conducted in ISI Web of Science, PsycNET, PubMed, and Google Scholar using the search terms “shift work disorder” and “shift work sleep disorder.” No restrictions in terms of time frame were used. Included studies had to present original data on the prevalence of SWD in an occupational sample published in English. A total of 349 unique hits were made. In all, 29 studies were finally included from which two authors independently extracted data using predefined data fields. The meta-regression included four predictors (diagnostic criteria, study country, type of workers, and sample size). Results: The overall prevalence of SWD was 26.5% (95% confidence interval = 21.0–32.8). Cochran Q was 1,845.4 (df = 28, p < 0.001), and the I2 was 98.5%, indicating very high heterogeneity across the observed prevalence estimates. Diagnostic criteria (International Classification of Sleep Disorders-2 = 0, International Classification of Sleep Disorders-3 = 1) and sample size were inversely related to SWD prevalence. Conclusions: The prevalence of SWD was high across the included studies. The between-study disparity was large and was partly explained by diagnostic criteria and sample size. In order to facilitate comparative research on SWD, there is a need for validation and standardization of assessment methodology as well as agreement in terms of sample restrictions.
Collapse
Affiliation(s)
- Ståle Pallesen
- Department of Psychosocial Science, University of Bergen, Bergen, Norway.,Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.,Optentia, The Vaal Triangle Campus of the North-West University, Vanderbijlpark, South Africa
| | - Bjørn Bjorvatn
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Siri Waage
- Norwegian Competence Center for Sleep Disorders, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Anette Harris
- Department of Psychosocial Science, University of Bergen, Bergen, Norway
| | - Dominic Sagoe
- Department of Psychosocial Science, University of Bergen, Bergen, Norway
| |
Collapse
|
22
|
Lahtinen A, Häkkinen A, Puttonen S, Vanttola P, Viitasalo K, Porkka-Heiskanen T, Härmä M, Paunio T. Differential DNA methylation in recovery from shift work disorder. Sci Rep 2021; 11:2895. [PMID: 33536559 PMCID: PMC7858604 DOI: 10.1038/s41598-021-82627-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/22/2021] [Indexed: 01/07/2023] Open
Abstract
The human DNA methylome is responsive to our environment, but its dynamics remain underexplored. We investigated the temporal changes to DNA methylation (DNAme) in relation to recovery from a shift work disorder (SWD) by performing a paired epigenome-wide analysis in an occupational cohort of 32 shift workers (25 men, age = 43.8 ± 8.8 years, 21 SWD cases). We found that the effect of vacation on DNAme was more prominent in the SWD-group as compared to controls, with respect to the amount of significantly differentially methylated positions (DMPs; Punadj < 0.05) 6.5 vs 3.7%, respectively. The vast majority (78%) of these DMPs were hypomethylated in SWD but not in controls (27%) during the work period. The Gene Ontology Cellular component "NMDA glutamate receptor" (PFDR < 0.05) was identified in a pathway analysis of the top 30 genes in SWD. In-depth pathway analyses revealed that the Reactome pathway "CREB phosphorylation through the activation of CaMKII" might underlie the recovery. Furthermore, three DMPs from this pathway, corresponding to GRIN2C, CREB1, and CAMK2B, correlated with the degree of recovery (Punadj < 0.05). Our findings provide evidence for the dynamic nature of DNAme in relation to the recovery process from a circadian disorder, with biological relevance of the emerging pathways.
Collapse
Affiliation(s)
- Alexandra Lahtinen
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland. .,Genomics and Biobank UnitDepartment of Public Health Solutions, Finnish Institute for Health and Welfare (THL), PO Box 30, 00271, Helsinki, Finland.
| | - Antti Häkkinen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sampsa Puttonen
- Work Ability and Working Careersareers, Finnish Institute of Occupational Health, PO Box 40, 00032, Helsinki, Finland
| | - Päivi Vanttola
- Work Ability and Working Careersareers, Finnish Institute of Occupational Health, PO Box 40, 00032, Helsinki, Finland
| | | | - Tarja Porkka-Heiskanen
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland
| | - Mikko Härmä
- Work Ability and Working Careersareers, Finnish Institute of Occupational Health, PO Box 40, 00032, Helsinki, Finland
| | - Tiina Paunio
- Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, University of Helsinki and Helsinki University Central Hospital, Biomedicum 1, Haartmaninkatu 8, 00290, Helsinki, Finland. .,Genomics and Biobank UnitDepartment of Public Health Solutions, Finnish Institute for Health and Welfare (THL), PO Box 30, 00271, Helsinki, Finland.
| |
Collapse
|
23
|
Koopman‐Verhoeff ME, Mulder RH, Saletin JM, Reiss I, van der Horst GT, Felix JF, Carskadon MA, Tiemeier H, Cecil CA. Genome-wide DNA methylation patterns associated with sleep and mental health in children: a population-based study. J Child Psychol Psychiatry 2020; 61:1061-1069. [PMID: 32361995 PMCID: PMC7586967 DOI: 10.1111/jcpp.13252] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/01/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND DNA methylation (DNAm) has been implicated in the biology of sleep. Yet, how DNAm patterns across the genome relate to different sleep outcomes, and whether these associations overlap with mental health is currently unknown. Here, we investigated associations of DNAm with sleep and mental health in a pediatric population. METHODS This cross-sectional study included 465 10-year-old children (51.3% female) from the Generation R Study. Genome-wide DNAm levels were measured using the Illumina 450K array (peripheral blood). Sleep problems were assessed from self-report and mental health outcomes from maternal questionnaires. Wrist actigraphy was used in 188 11-year-old children to calculate sleep duration and midpoint sleep. Weighted gene co-expression network analysis was used to identify highly comethylated DNAm 'modules', which were tested for associations with sleep and mental health outcomes. RESULTS We identified 64 DNAm modules, one of which associated with sleep duration after covariate and multiple testing adjustment. This module included CpG sites spanning 9 genes on chromosome 17, including MAPT - a key regulator of Tau proteins in the brain involved in neuronal function - as well as genes previously implicated in sleep duration. Follow-up analyses suggested that DNAm variation in this region is under considerable genetic control and shows strong blood-brain concordance. DNAm modules associated with sleep did not overlap with those associated with mental health. CONCLUSIONS We identified one DNAm region associated with sleep duration, including genes previously reported by recent GWAS studies. Further research is warranted to examine the functional role of this region and its longitudinal association with sleep.
Collapse
Affiliation(s)
- Maria Elisabeth Koopman‐Verhoeff
- Department of Child and Adolescent PsychiatryErasmus University Medical CenterSophia Children’s HospitalRotterdamThe Netherlands,The Generation R Study GroupErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,EP Bradley Hospital Sleep LaboratoryAlpert Medical School of Brown UniversityProvidenceRIUSA
| | - Rosa H. Mulder
- Department of Child and Adolescent PsychiatryErasmus University Medical CenterSophia Children’s HospitalRotterdamThe Netherlands,The Generation R Study GroupErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Institute of Education and Child StudiesLeiden UniversityLeidenThe Netherlands
| | - Jared M. Saletin
- EP Bradley Hospital Sleep LaboratoryAlpert Medical School of Brown UniversityProvidenceRIUSA
| | - Irwin Reiss
- Department of PediatricsErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | | | - Janine F. Felix
- The Generation R Study GroupErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of PediatricsErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Mary A. Carskadon
- EP Bradley Hospital Sleep LaboratoryAlpert Medical School of Brown UniversityProvidenceRIUSA
| | - Henning Tiemeier
- Department of Child and Adolescent PsychiatryErasmus University Medical CenterSophia Children’s HospitalRotterdamThe Netherlands,Department of Social and Behavioral ScienceHarvard TH Chan School of Public HealthBostonMAUSA
| | - Charlotte A.M. Cecil
- Department of Child and Adolescent PsychiatryErasmus University Medical CenterSophia Children’s HospitalRotterdamThe Netherlands,The Generation R Study GroupErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of EpidemiologyErasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| |
Collapse
|
24
|
Semyachkina-Glushkovskaya O, Postnov D, Penzel T, Kurths J. Sleep as a Novel Biomarker and a Promising Therapeutic Target for Cerebral Small Vessel Disease: A Review Focusing on Alzheimer's Disease and the Blood-Brain Barrier. Int J Mol Sci 2020; 21:ijms21176293. [PMID: 32878058 PMCID: PMC7504101 DOI: 10.3390/ijms21176293] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 08/14/2020] [Accepted: 08/26/2020] [Indexed: 12/12/2022] Open
Abstract
Cerebral small vessel disease (CSVD) is a leading cause of cognitive decline in elderly people and development of Alzheimer’s disease (AD). Blood–brain barrier (BBB) leakage is a key pathophysiological mechanism of amyloidal CSVD. Sleep plays a crucial role in keeping health of the central nervous system and in resistance to CSVD. The deficit of sleep contributes to accumulation of metabolites and toxins such as beta-amyloid in the brain and can lead to BBB disruption. Currently, sleep is considered as an important informative platform for diagnosis and therapy of AD. However, there are no effective methods for extracting of diagnostic information from sleep characteristics. In this review, we show strong evidence that slow wave activity (SWA) (0–0.5 Hz) during deep sleep reflects glymphatic pathology, the BBB leakage and memory deficit in AD. We also discuss that diagnostic and therapeutic targeting of SWA in AD might lead to be a novel era in effective therapy of AD. Moreover, we demonstrate that SWA can be pioneering non-invasive and bed–side technology for express diagnosis of the BBB permeability. Finally, we review the novel data about the methods of detection and enhancement of SWA that can be biomarker and a promising therapy of amyloidal CSVD and CSVD associated with the BBB disorders.
Collapse
Affiliation(s)
- Oxana Semyachkina-Glushkovskaya
- Department of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia; (D.P.); (T.P.); (J.K.)
- Physics Department, Humboldt University, Newtonstrasse 15, 12489 Berlin, Germany
- Correspondence: ; Tel.: +7-927-115-5157
| | - Dmitry Postnov
- Department of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia; (D.P.); (T.P.); (J.K.)
| | - Thomas Penzel
- Department of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia; (D.P.); (T.P.); (J.K.)
- Advanced Sleep Research GmbH, 12489 Berlin, Germany
- Charité-Universitätsmedizin Berlin, Sleep Medicine Center, Charitéplatz 1, 10117 Berlin, Germany
| | - Jürgen Kurths
- Department of Human and Animal Physiology, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia; (D.P.); (T.P.); (J.K.)
- Physics Department, Humboldt University, Newtonstrasse 15, 12489 Berlin, Germany
- Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany
| |
Collapse
|
25
|
Riemann D, Krone LB, Wulff K, Nissen C. Sleep, insomnia, and depression. Neuropsychopharmacology 2020; 45:74-89. [PMID: 31071719 PMCID: PMC6879516 DOI: 10.1038/s41386-019-0411-y] [Citation(s) in RCA: 330] [Impact Index Per Article: 82.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 04/21/2019] [Accepted: 04/23/2019] [Indexed: 12/23/2022]
Abstract
Since ancient times it is known that melancholia and sleep disturbances co-occur. The introduction of polysomnography into psychiatric research confirmed a disturbance of sleep continuity in patients with depression, revealing not only a decrease in Slow Wave Sleep, but also a disinhibition of REM (rapid eye movement) sleep, demonstrated as a shortening of REM latency, an increase of REM density, as well as total REM sleep time. Initial hopes that these abnormalities of REM sleep may serve as differential-diagnostic markers for subtypes of depression were not fulfilled. Almost all antidepressant agents suppress REM sleep and a time-and-dose-response relationship between total REM sleep suppression and therapeutic response to treatment seemed apparent. The so-called Cholinergic REM Induction Test revealed that REM sleep abnormalities can be mimicked by administration of cholinomimetic agents. Another important research avenue is the study of chrono-medical timing of sleep deprivation and light exposure for their positive effects on mood in depression. Present day research takes the view on insomnia, i.e., prolonged sleep latency, problems to maintain sleep, and early morning awakening, as a transdiagnostic symptom for many mental disorders, being most closely related to depression. Studying insomnia from different angles as a transdiagnostic phenotype has opened many new perspectives for research into mechanisms but also for clinical practice. Thus, the question is: can the early and adequate treatment of insomnia prevent depression? This article will link current understanding about sleep regulatory mechanisms with knowledge about changes in physiology due to depression. The review aims to draw the attention to current and future strategies in research and clinical practice to the benefits of sleep and depression therapeutics.
Collapse
Affiliation(s)
- Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Lukas B Krone
- Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK
| | - Katharina Wulff
- Departments of Radiation Sciences & Molecular Biology, Umea University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine (WCMM), Umea University, Umeå, Sweden
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, Bern, Switzerland
| |
Collapse
|
26
|
Meng M, Jiang Y, Zhu L, Wang G, Lin Q, Sun W, Song Y, Dong S, Deng Y, Rong T, Zhu Q, Mei H, Jiang F. Effect of maternal sleep in late pregnancy on leptin and lipid levels in umbilical cord blood. Sleep Med 2019; 77:376-383. [PMID: 32839086 DOI: 10.1016/j.sleep.2019.11.1194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To study the impact of maternal sleep in late pregnancy on birth weight (BW) and leptin and lipid levels in umbilical cord blood. STUDY DESIGN A total of 277 healthy and singleton pregnancy women were recruited for participation in the Shanghai Sleep Birth Cohort Study (SSBC) during their 36-38 weeks of pregnancy, from May 2012 to July 2013. Maternal night sleep time (NST), sleep efficiency (SE), sleep onset latency (SOL) and the percentage of wake after sleep onset (WASO) in NST and midpoint of sleep (MSF) were measured by actigraphy for seven consecutive days. The leptin and lipid levels were determined in cord blood samples collected from the umbilical vein immediately after delivery. Birth information (birth weight, gender, delivery type, etc.) was extracted from medical records. A multivariable linear regression model was applied to examine the effect of maternal sleep in late pregnancy on newborn leptin and lipid levels in umbilical cord blood. RESULTS A total of 177 women and their infants were included in the analysis. Maternal mean NST was 7.03 ± 1.10 h in late pregnancy, and 48% had a shorter sleep time (NST < 7 h). The average maternal SE was 72.54% ± 9.66%. The mean percentage WASO/NST was 21.62% ± 9.98%; the average MSF was about 3:34 (0:53); and the SOL was 46.78 ± 36.00 min. After adjustment for confounders, both maternal NST and SE were found to be significantly associated with triglyceride levels (β = -0.219, p = 0.006; β = -0.224, p = 0.006) in umbilical cord blood; and maternal NST was also observed to have positive association with newborn leptin levels (β = 0.146, p = 0.047). However, we did not find significant association between other maternal sleep parameters in late pregnancy and leptin and lipid levels and birth weight. CONCLUSIONS Short sleep duration and poor sleep quality during late pregnancy were associated with newborn leptin and lipid levels, and efforts on improving maternal sleep during late pregnancy should be advocated for children's health.
Collapse
Affiliation(s)
- Min Meng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Lixia Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yuanjin Song
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Tingyu Rong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Hao Mei
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China.
| |
Collapse
|
27
|
Gaine ME, Seifuddin F, Sabunciyan S, Lee RS, Benke KS, Monson ET, Zandi PP, Potash JB, Willour VL. Differentially methylated regions in bipolar disorder and suicide. Am J Med Genet B Neuropsychiatr Genet 2019; 180:496-507. [PMID: 31350827 PMCID: PMC8375453 DOI: 10.1002/ajmg.b.32754] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/24/2019] [Accepted: 07/15/2019] [Indexed: 12/29/2022]
Abstract
The addition of a methyl group to, typically, a cytosine-guanine dinucleotide (CpG) creates distinct DNA methylation patterns across the genome that can regulate gene expression. Aberrant DNA methylation of CpG sites has been associated with many psychiatric disorders including bipolar disorder (BD) and suicide. Using the SureSelectXT system, Methyl-Seq, we investigated the DNA methylation status of CpG sites throughout the genome in 50 BD individuals (23 subjects who died by suicide and 27 subjects who died from other causes) and 31 nonpsychiatric controls. We identified differentially methylated regions (DMRs) from three analyses: (a) BD subjects compared to nonpsychiatric controls (BD-NC), (b) BD subjects who died by suicide compared to nonpsychiatric controls (BDS-NC), and (c) BDS subjects compared to BD subjects who died from other causes (BDS-BDNS). One DMR from the BDS-NC analysis, located in ARHGEF38, was significantly hypomethylated (23.4%) in BDS subjects. This finding remained significant after multiple testing (PBootstrapped = 9.0 × 10-3 ), was validated using pyrosequencing, and was more significant in males. A secondary analysis utilized Ingenuity Pathway Analysis to identify enrichment in nominally significant DMRs. This identified an association with several pathways including axonal guidance signaling, calcium signaling, β-adrenergic signaling, and opioid signaling. Our comprehensive study provides further support that DNA methylation alterations influence the risk for BD and suicide. However, further investigation is required to confirm these associations and identify their functional consequences.
Collapse
Affiliation(s)
- Marie E. Gaine
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Fayaz Seifuddin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Sarven Sabunciyan
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, Maryland,Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Richard S. Lee
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Kelly S. Benke
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Eric T. Monson
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| | - Peter P. Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - James B. Potash
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Virginia L. Willour
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa
| |
Collapse
|
28
|
Samblas M, Milagro FI, Martínez A. DNA methylation markers in obesity, metabolic syndrome, and weight loss. Epigenetics 2019; 14:421-444. [PMID: 30915894 DOI: 10.1080/15592294.2019.1595297] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The fact that not all individuals exposed to the same environmental risk factors develop obesity supports the hypothesis of the existence of underlying genetic and epigenetic elements. There is suggestive evidence that environmental stimuli, such as dietary pattern, particularly during pregnancy and early life, but also in adult life, can induce changes in DNA methylation predisposing to obesity and related comorbidities. In this context, the DNA methylation marks of each individual have emerged not only as a promising tool for the prediction, screening, diagnosis, and prognosis of obesity and metabolic syndrome features, but also for the improvement of weight loss therapies in the context of precision nutrition. The main objectives in this field are to understand the mechanisms involved in transgenerational epigenetic inheritance, and featuring the nutritional and lifestyle factors implicated in the epigenetic modifications. Likewise, DNA methylation modulation caused by diet and environment may be a target for newer therapeutic strategies concerning the prevention and treatment of metabolic diseases.
Collapse
Affiliation(s)
- Mirian Samblas
- a Department of Nutrition, Food Science and Physiology; Centre for Nutrition Research , University of Navarra , Pamplona , Spain
| | - Fermín I Milagro
- a Department of Nutrition, Food Science and Physiology; Centre for Nutrition Research , University of Navarra , Pamplona , Spain.,b CIBERobn, CIBER Fisiopatología de la Obesidad y Nutrición , Instituto de Salud Carlos III. Madrid , Spain.,c IdiSNA, Instituto de Investigación Sanitaria de Navarra (IdiSNA) , Pamplona , Spain
| | - Alfredo Martínez
- a Department of Nutrition, Food Science and Physiology; Centre for Nutrition Research , University of Navarra , Pamplona , Spain.,b CIBERobn, CIBER Fisiopatología de la Obesidad y Nutrición , Instituto de Salud Carlos III. Madrid , Spain.,c IdiSNA, Instituto de Investigación Sanitaria de Navarra (IdiSNA) , Pamplona , Spain.,d IMDEA, Research Institute on Food & Health Sciences , Madrid , Spain
| |
Collapse
|