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Harvanek ZM, Kudinova AY, Wong SA, Xu K, Brick L, Daniels TE, Marsit C, Burt A, Sinha R, Tyrka AR. Childhood adversity, accelerated GrimAge, and associated health consequences. J Behav Med 2024:10.1007/s10865-024-00496-0. [PMID: 38762606 DOI: 10.1007/s10865-024-00496-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 05/01/2024] [Indexed: 05/20/2024]
Abstract
Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Yale Stress Center, Yale University, New Haven, CT, USA.
| | - Anastacia Y Kudinova
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
| | - Samantha A Wong
- New York University Grossman School of Medicine, New York, USA
| | - Ke Xu
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT, USA
| | - Leslie Brick
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Teresa E Daniels
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Child Study Center, Yale University, New Haven, CT, USA
| | - Audrey R Tyrka
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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Shirai T, Okazaki S, Otsuka I, Miyachi M, Tanifuji T, Shindo R, Okada S, Minami H, Horai T, Mouri K, Hishimoto A. Accelerated epigenetic aging in alcohol dependence. J Psychiatr Res 2024; 173:175-182. [PMID: 38547739 DOI: 10.1016/j.jpsychires.2024.03.025] [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: 12/06/2023] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/17/2024]
Abstract
Alcohol dependence poses a global health threat associated with aging and reduced life expectancy. Recently, aging research through deoxyribonucleic acid (DNA) methylation has gained attention. New epigenetic clocks have been developed; however, no study has investigated GrimAge components, GrimAge2 components and DunedinPACE in patients with alcohol dependence. In this study, we aimed to perform epigenetic clock analysis to evaluate epigenetic age acceleration and DNA methylation-based age-predictive components in patients with alcohol dependence and controls. We utilized publicly available DNA methylation data (GSE98876) for our analysis. Additionally, we compared the values of the same items before and after the patients underwent a treatment program. The dataset comprised 23 controls and 24 patients. We observed that DunedinPACE accelerated more in patients with alcohol dependence. AgeAccelGrim and AgeAccelGrim2 decelerated more after the treatment program than before, and beta-2-microglobulin and Cystatin C decreased after the treatment program than before. These findings are crucial as they affect the cranial nerve area, potentially contributing to cognitive dysfunction and psychiatric symptoms in patients with alcohol dependence.
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Affiliation(s)
- Toshiyuki Shirai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Masao Miyachi
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takaki Tanifuji
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ryota Shindo
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shohei Okada
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Haruka Minami
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kentaro Mouri
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
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Chen H, Yin J, Xiang Y, Zhang N, Huang Z, Zhang Y, Tang D, Wang Z, Baimayangji, Chen L, Jiang X, Xiao X, Zhao X. Alcohol consumption and accelerated biological ageing in middle-aged and older people: A longitudinal study from two cohorts. Addiction 2024. [PMID: 38679855 DOI: 10.1111/add.16501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/13/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND AND AIMS The relationship between alcohol consumption and age-related diseases is inconsistent. Biological age (BA) serves as both a precursor and a predictor of age-related diseases; however, longitudinal associations between alcohol consumption and BA in middle-aged and older people remain unclear. We measured whether there was a longitudinal association between drinking frequency and pure alcohol intake with BA among middle-aged and older people. DESIGN AND SETTING AND PARTICIPANTS This study involved two prospective cohort studies, set in Southwestern China and the United Kingdom. A total of 8046 participants from the China Multi-Ethnic Cohort study (CMEC) and 5412 participants from the UK Biobank (UKB), aged 30-79 years, took part, with complete data from two waves of clinical biomarkers. MEASUREMENTS BA was calculated by the Klemera Doubal's method. Accelerated BA equalled BA minus chronological age. Drinking frequency and pure alcohol intake were obtained through self-reported questionnaires. Drinking frequency in the past year was classified as current non-drinking, occasional (monthly drinking) and regular (weekly drinking). FINDINGS Compared with consistent current non-drinkers, more frequent drinkers [CMEC: β = 0.46, 95% confidence interval (CI) = 0.13-0.80; UKB: β = 0.65, 95% CI = 0.01-1.29)], less frequent drinkers (CMEC: β = 0.62, 95% CI = 0.37-0.87; UKB: β = 0.54, 95% CI = -0.01-1.09), consistent occasional drinkers (CMEC: β = 0.51, 95% CI = 0.23-0.79; UKB: β = 0.63, 95% CI = 0.13-1.13) and consistent regular drinkers (CMEC: β = 0.56, 95% CI = 0.17-0.95; UKB: β = 0.46, 95% CI = 0.00-0.91) exhibited increased accelerated BA. A non-linear relationship between pure alcohol intake and accelerated BA was observed among consistent regular drinkers. CONCLUSIONS In middle-aged and older people, any change in drinking frequency and any amount of pure alcohol intake seem to be positively associated with acceleration of biological ageing, compared with maintaining abstinence.
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Affiliation(s)
- Hongxiang Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, China
| | - Yi Xiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ning Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zitong Huang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yuan Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Dan Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Baimayangji
- School of Medicine, Tibet University, Lhasa, China
| | - Liling Chen
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Institute of Chronic Non-Communicable Disease Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Xiaoman Jiang
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Xiong Xiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Zhu B, Ainsworth RI, Wang Z, Liu Z, Sierra S, Deng C, Callado LF, Meana JJ, Wang W, Lu C, González-Maeso J. Antipsychotic-induced epigenomic reorganization in frontal cortex of individuals with schizophrenia. eLife 2024; 12:RP92393. [PMID: 38648100 PMCID: PMC11034945 DOI: 10.7554/elife.92393] [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] [Indexed: 04/25/2024] Open
Abstract
Genome-wide association studies have revealed >270 loci associated with schizophrenia risk, yet these genetic factors do not seem to be sufficient to fully explain the molecular determinants behind this psychiatric condition. Epigenetic marks such as post-translational histone modifications remain largely plastic during development and adulthood, allowing a dynamic impact of environmental factors, including antipsychotic medications, on access to genes and regulatory elements. However, few studies so far have profiled cell-specific genome-wide histone modifications in postmortem brain samples from schizophrenia subjects, or the effect of antipsychotic treatment on such epigenetic marks. Here, we conducted ChIP-seq analyses focusing on histone marks indicative of active enhancers (H3K27ac) and active promoters (H3K4me3), alongside RNA-seq, using frontal cortex samples from antipsychotic-free (AF) and antipsychotic-treated (AT) individuals with schizophrenia, as well as individually matched controls (n=58). Schizophrenia subjects exhibited thousands of neuronal and non-neuronal epigenetic differences at regions that included several susceptibility genetic loci, such as NRG1, DISC1, and DRD3. By analyzing the AF and AT cohorts separately, we identified schizophrenia-associated alterations in specific transcription factors, their regulatees, and epigenomic and transcriptomic features that were reversed by antipsychotic treatment; as well as those that represented a consequence of antipsychotic medication rather than a hallmark of schizophrenia in postmortem human brain samples. Notably, we also found that the effect of age on epigenomic landscapes was more pronounced in frontal cortex of AT-schizophrenics, as compared to AF-schizophrenics and controls. Together, these data provide important evidence of epigenetic alterations in the frontal cortex of individuals with schizophrenia, and remark for the first time on the impact of age and antipsychotic treatment on chromatin organization.
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Affiliation(s)
- Bohan Zhu
- Department of Chemical Engineering, Virginia TechBlacksburgUnited States
| | - Richard I Ainsworth
- Department of Chemistry and Biochemistry, University of California, San DiegoLa JollaUnited States
| | - Zengmiao Wang
- Department of Chemistry and Biochemistry, University of California, San DiegoLa JollaUnited States
| | - Zhengzhi Liu
- Department of Biomedical Engineering and Mechanics, Virginia TechBlacksburgUnited States
| | - Salvador Sierra
- Department of Physiology and Biophysics, Virginia Commonwealth University School of MedicineRichmondUnited States
| | - Chengyu Deng
- Department of Chemical Engineering, Virginia TechBlacksburgUnited States
| | - Luis F Callado
- Department of Pharmacology, University of the Basque Country UPV/EHU, CIBERSAM, Biocruces Health Research InstituteBizkaiaSpain
| | - J Javier Meana
- Department of Pharmacology, University of the Basque Country UPV/EHU, CIBERSAM, Biocruces Health Research InstituteBizkaiaSpain
| | - Wei Wang
- Department of Chemistry and Biochemistry, University of California, San DiegoLa JollaUnited States
- Department of Cellular and Molecular Medicine, University of California, San DiegoLa JollaUnited States
| | - Chang Lu
- Department of Chemical Engineering, Virginia TechBlacksburgUnited States
| | - Javier González-Maeso
- Department of Physiology and Biophysics, Virginia Commonwealth University School of MedicineRichmondUnited States
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Zillich L, Cetin M, Hummel EM, Poisel E, Fries GR, Frank J, Streit F, Foo JC, Sirignano L, Friske MM, Lenz B, Hoffmann S, Adorjan K, Kiefer F, Bakalkin G, Hansson AC, Lohoff FW, Kärkkäinen O, Kok E, Karhunen PJ, Sutherland GT, Walss-Bass C, Spanagel R, Rietschel M, Moser DA, Witt SH. Biological aging markers in blood and brain tissue indicate age acceleration in alcohol use disorder. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2024; 48:250-259. [PMID: 38276909 PMCID: PMC10922212 DOI: 10.1111/acer.15241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 11/30/2023] [Accepted: 12/05/2023] [Indexed: 01/27/2024]
Abstract
BACKGROUND Alcohol use disorder (AUD) is associated with increased mortality and morbidity risk. A reason for this could be accelerated biological aging, which is strongly influenced by disease processes such as inflammation. As recent studies of AUD show changes in DNA methylation and gene expression in neuroinflammation-related pathways in the brain, biological aging represents a potentially important construct for understanding the adverse effects of substance use disorders. Epigenetic clocks have shown accelerated aging in blood samples from individuals with AUD. However, no systematic evaluation of biological age measures in AUD across different tissues and brain regions has been undertaken. METHODS As markers of biological aging (BioAge markers), we assessed Levine's and Horvath's epigenetic clocks, DNA methylation telomere length (DNAmTL), telomere length (TL), and mitochondrial DNA copy number (mtDNAcn) in postmortem brain samples from Brodmann Area 9 (BA9), caudate nucleus, and ventral striatum (N = 63-94), and in whole blood samples (N = 179) of individuals with and without AUD. To evaluate the association between AUD status and BioAge markers, we performed linear regression analyses while adjusting for covariates. RESULTS The majority of BioAge markers were significantly associated with chronological age in all samples. Levine's epigenetic clock and DNAmTL were indicative of accelerated biological aging in AUD in BA9 and whole blood samples, while Horvath's showed the opposite effect in BA9. No significant association of AUD with TL and mtDNAcn was detected. Measured TL and DNAmTL showed only small correlations in blood and none in brain. CONCLUSIONS The present study is the first to simultaneously investigate epigenetic clocks, telomere length, and mtDNAcn in postmortem brain and whole blood samples in individuals with AUD. We found evidence for accelerated biological aging in AUD in blood and brain, as measured by Levine's epigenetic clock, and DNAmTL. Additional studies of different tissues from the same individuals are needed to draw valid conclusions about the congruence of biological aging in blood and brain.
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Affiliation(s)
- Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Metin Cetin
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Elisabeth M. Hummel
- Department of Genetic Psychology, Faculty of Psychology, Ruhr Universität Bochum, Bochum, Germany
| | - Eric Poisel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gabriel R. Fries
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jerome C. Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marion M. Friske
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Bernd Lenz
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabine Hoffmann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Kristina Adorjan
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Georgy Bakalkin
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Anita C. Hansson
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Falk W. Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland, USA
| | - Olli Kärkkäinen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Eloise Kok
- Department of Pathology, University of Helsinki, Helsinki, Finland and HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pekka J. Karhunen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories Ltd., Pirkanmaa Hospital District, and Finnish Cardiovascular Research Centre Tampere, Tampere, Finland
| | - Greg T Sutherland
- Charles Perkins Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Consuelo Walss-Bass
- Louis A. Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Rainer Spanagel
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Dirk A. Moser
- Department of Genetic Psychology, Faculty of Psychology, Ruhr Universität Bochum, Bochum, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Center for Innovative Psychiatric and Psychotherapeutic Research, Biobank, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Clark SL, McGinnis EW, Zhao M, Xie L, Marks GT, Aberg KA, van den Oord EJCG, Copeland WE. The Impact of Childhood Mental Health and Substance Use on Methylation Aging Into Adulthood. J Am Acad Child Adolesc Psychiatry 2023:S0890-8567(23)02266-9. [PMID: 38157979 DOI: 10.1016/j.jaac.2023.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE To test whether childhood mental health symptoms, substance use, and early adversity accelerate the rate of DNA methylation (DNAm) aging from adolescence to adulthood. METHOD DNAm was assayed from blood samples in 381 participants in both adolescence (mean [SD] age = 13.9 [1.6] years) and adulthood (mean [SD] age = 25.9 [2.7] years). Structured diagnostic interviews were completed with participants and their parents at multiple childhood observations (1,950 total) to assess symptoms of common mental health disorders (attention-deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, anxiety, and depression) and common types of substance use (alcohol, cannabis, nicotine) and early adversities. RESULTS Neither childhood mental health symptoms nor substance use variables were associated with DNAm aging cross-sectionally. In contrast, the following mental health symptoms and substance variables were associated with accelerated DNAm aging from adolescence to adulthood: depressive symptoms (b = 0.314, SE = 0.127, p = .014), internalizing symptoms (b = 0.108, SE = 0.049, p = .029), weekly cannabis use (b =1.665, SE = 0.591, p = .005), and years of weekly cannabis use (b = 0.718, SE = 0.283, p = .012). In models testing all individual variables simultaneously, the combined effect of the variables was equivalent to a potential difference of 3.17 to 3.76 years in DNAm aging. A final model tested a variable assessing cumulative exposure to mental health symptoms, substance use, and early adversities. This cumulative variable was strongly associated with accelerated aging (b = 0.126, SE = 0.044, p = .005). CONCLUSION Mental health symptoms and substance use accelerated DNAm aging into adulthood in a manner consistent with a shared risk mechanism.
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Affiliation(s)
| | | | - Min Zhao
- Virginia Commonwealth University, Richmond, Virginia
| | - Linying Xie
- Virginia Commonwealth University, Richmond, Virginia
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Guvatova ZG, Kobelyatskaya AA, Pudova EA, Tarasova IV, Kudryavtseva AV, Tkacheva ON, Strazhesko ID, Moskalev AA. Decelerated Epigenetic Aging in Long Livers. Int J Mol Sci 2023; 24:16867. [PMID: 38069189 PMCID: PMC10707056 DOI: 10.3390/ijms242316867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Epigenetic aging is a hot topic in the field of aging research. The present study estimated epigenetic age in long-lived individuals, who are currently actively being studied worldwide as an example of successful aging due to their longevity. We used Bekaert's blood-based age prediction model to estimate the epigenetic age of 50 conditionally "healthy" and 45 frail long-livers over 90 years old. Frailty assessment in long-livers was conducted using the Frailty Index. The control group was composed of 32 healthy individuals aged 20-60 years. The DNA methylation status of 4 CpG sites (ASPA CpG1, PDE4C CpG1, ELOVL2 CpG6, and EDARADD CpG1) included in the epigenetic clock was assessed through pyrosequencing. According to the model calculations, the epigenetic age of long-livers was significantly lower than their chronological age (on average by 21 years) compared with data from the group of people aged 20 to 60 years. This suggests a slowing of epigenetic and potentially biological aging in long livers. At the same time, the obtained results showed no statistically significant differences in delta age (difference between the predicted and chronological age) between "healthy" long livers and long livers with frailty. We also failed to detect sex differences in epigenetic age either in the group of long livers or in the control group. It is possible that the predictive power of epigenetic clocks based on a small number of CpG sites is insufficient to detect such differences. Nevertheless, this study underscores the need for further research on the epigenetic status of centenarians to gain a deeper understanding of the factors contributing to delayed aging in this population.
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Affiliation(s)
- Zulfiya G. Guvatova
- Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia; (I.V.T.); (O.N.T.); (I.D.S.)
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia (E.A.P.); (A.V.K.)
| | - Anastasiya A. Kobelyatskaya
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia (E.A.P.); (A.V.K.)
| | - Elena A. Pudova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia (E.A.P.); (A.V.K.)
| | - Irina V. Tarasova
- Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia; (I.V.T.); (O.N.T.); (I.D.S.)
| | - Anna V. Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia (E.A.P.); (A.V.K.)
| | - Olga N. Tkacheva
- Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia; (I.V.T.); (O.N.T.); (I.D.S.)
| | - Irina D. Strazhesko
- Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia; (I.V.T.); (O.N.T.); (I.D.S.)
| | - Alexey A. Moskalev
- Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia; (I.V.T.); (O.N.T.); (I.D.S.)
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8
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Mir FA, Amanullah A, Jain BP, Hyderi Z, Gautam A. Neuroepigenetics of ageing and neurodegeneration-associated dementia: An updated review. Ageing Res Rev 2023; 91:102067. [PMID: 37689143 DOI: 10.1016/j.arr.2023.102067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 09/01/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023]
Abstract
Gene expression is tremendously altered in the brain during memory acquisition, recall, and forgetfulness. However, non-genetic factors, including environmental elements, epigenetic changes, and lifestyle, have grabbed significant attention in recent years regarding the etiology of neurodegenerative diseases (NDD) and age-associated dementia. Epigenetic modifications are essential in regulating gene expression in all living organisms in a DNA sequence-independent manner. The genes implicated in ageing and NDD-related memory disorders are epigenetically regulated by processes such as DNA methylation, histone acetylation as well as messenger RNA editing machinery. The physiological and optimal state of the epigenome, especially within the CNS of humans, plays an intricate role in helping us adjust to the changing environment, and alterations in it cause many brain disorders, but the mechanisms behind it still need to be well understood. When fully understood, these epigenetic landscapes could act as vital targets for pharmacogenetic rescue strategies for treating several diseases, including neurodegeneration- and age-induced dementia. Keeping this objective in mind, this updated review summarises the epigenetic changes associated with age and neurodegeneration-associated dementia.
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Affiliation(s)
- Fayaz Ahmad Mir
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Zeeshan Hyderi
- Department of Biotechnology, Alagappa University, Karaikudi, India
| | - Akash Gautam
- Centre for Neural and Cognitive Sciences, University of Hyderabad, Hyderabad, India.
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9
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Loyo-Celis V, Patel D, Sanghvi S, Kaur K, Ponnalagu D, Zheng Y, Bindra S, Bhachu HR, Deschenes I, Gururaja Rao S, Singh H. Biophysical characterization of chloride intracellular channel 6 (CLIC6). J Biol Chem 2023; 299:105349. [PMID: 37838179 PMCID: PMC10641671 DOI: 10.1016/j.jbc.2023.105349] [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: 01/11/2023] [Revised: 09/27/2023] [Accepted: 09/30/2023] [Indexed: 10/16/2023] Open
Abstract
Chloride intracellular channels (CLICs) are a family of proteins that exist in soluble and transmembrane forms. The newest discovered member of the family CLIC6 is implicated in breast, ovarian, lung gastric, and pancreatic cancers and is also known to interact with dopamine-(D(2)-like) receptors. The soluble structure of the channel has been resolved, but the exact physiological role of CLIC6, biophysical characterization, and the membrane structure remain unknown. Here, we aimed to characterize the biophysical properties of this channel using a patch-clamp approach. To determine the biophysical properties of CLIC6, we expressed CLIC6 in HEK-293 cells. On ectopic expression, CLIC6 localizes to the plasma membrane of HEK-293 cells. We established the biophysical properties of CLIC6 by using electrophysiological approaches. Using various anions and potassium (K+) solutions, we determined that CLIC6 is more permeable to chloride-(Cl-) as compared to bromide-(Br-), fluoride-(F-), and K+ ions. In the whole-cell configuration, the CLIC6 currents were inhibited after the addition of 10 μM of IAA-94 (CLIC-specific blocker). CLIC6 was also found to be regulated by pH and redox potential. We demonstrate that the histidine residue at 648 (H648) in the C terminus and cysteine residue in the N terminus (C487) are directly involved in the pH-induced conformational change and redox regulation of CLIC6, respectively. Using qRT-PCR, we identified that CLIC6 is most abundant in the lung and brain, and we recorded the CLIC6 current in mouse lung epithelial cells. Overall, we have determined the biophysical properties of CLIC6 and established it as a Cl- channel.
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Affiliation(s)
- Veronica Loyo-Celis
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Devendra Patel
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Shridhar Sanghvi
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA; Department of Molecular Cellular and Developmental Biology, The Ohio State University, Columbus, Ohio, USA
| | - Kamalpreet Kaur
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Devasena Ponnalagu
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA; Department of Pharmacology, The University of Washington, Seattle, Washington, USA
| | - Yang Zheng
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Sahej Bindra
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Harmeet Rireika Bhachu
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Isabelle Deschenes
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | | | - Harpreet Singh
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, Ohio, USA; Department of Molecular Cellular and Developmental Biology, The Ohio State University, Columbus, Ohio, USA.
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10
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Wang M, Li Y, Lai M, Nannini DR, Hou L, Joehanes R, Huan T, Levy D, Ma J, Liu C. Alcohol consumption and epigenetic age acceleration across human adulthood. Aging (Albany NY) 2023; 15:10938-10971. [PMID: 37889500 PMCID: PMC10637803 DOI: 10.18632/aging.205153] [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: 05/21/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023]
Abstract
The alcohol-associated biological aging remains to be studied across adulthood. We conducted linear regression analyses to investigate the associations between alcohol consumption and two DNA methylation-based biological age acceleration metrics in 3823 Framingham Heart Study participants (24-92 years and 53.8% women) adjusting for covariates. We also investigated whether the two epigenetic aging metrics mediated the association of alcohol consumption with hypertension. We found that higher long-term average alcohol consumption was significantly associated with biological age acceleration assessed by GrimAge acceleration (GAA) and PhenoAge acceleration (PAA) in middle-aged (45-64 years, n = 1866) and older (65-92 years, n = 1267) participants while not in young participants (24-44 years, n = 690). For example, one additional standard drink of alcohol (~14 grams of ethanol per day) was associated with a 0.71 ± 0.15-year (p = 2.1e-6) and 0.60 ± 0.18-year (p = 7.5e-4) increase in PAA in middle-aged and older participants, respectively, but the association was not significant in young participants (p = 0.23). One additional standard serving of liquor (~14 grams of ethanol) was associated with a greater increase in GAA (0.82-year, p = 4.8e-4) and PAA (1.45-year, p = 7.4e-5) than beer (GAA: 0.45-year, p = 5.2e-4; PAA: 0.48-year, p = 0.02) and wine (GAA: 0.51-year, p = 0.02; PAA: 0.91-year, p = 0.008) in middle-aged participant group. We observed that up to 28% of the association between alcohol consumption and hypertension was mediated by GAA or PAA in the pooled sample. Our findings suggest that alcohol consumption is associated with greater biological aging quantified by epigenetic aging metrics, which may mediate the association of alcohol consumption with quantitative traits, such as hypertension.
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Affiliation(s)
- Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Meng Lai
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tianxiao Huan
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Framingham Heart Study, Framingham, MA 01702, USA
| | - Jiantao Ma
- Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, MA 01702, USA
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11
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Shindo R, Tanifuji T, Okazaki S, Otsuka I, Shirai T, Mouri K, Horai T, Hishimoto A. Accelerated epigenetic aging and decreased natural killer cells based on DNA methylation in patients with untreated major depressive disorder. NPJ AGING 2023; 9:19. [PMID: 37673891 PMCID: PMC10482893 DOI: 10.1038/s41514-023-00117-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 06/29/2023] [Indexed: 09/08/2023]
Abstract
Major depressive disorder (MDD) is known to cause significant disability. Genome-wide DNA methylation (DNAm) profiles can be used to estimate biological aging and as epigenetic clocks. However, information on epigenetic clocks reported in MDD patients is inconsistent. Since antidepressants are likely confounders, we evaluated biological aging using various DNAm-based predictors in patients with MDD who had never received depression medication. A publicly available dataset consisting of whole blood samples from untreated MDD patients (n = 40) and controls (n = 40) was used. We analyzed five epigenetic clocks (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge), DNAm-based telomere length (DNAmTL), and DNAm-based age-related plasma proteins (GrimAge components), as well as DNAm-based white blood cell composition. The results indicate that patients with untreated MDD were significantly associated with epigenetic aging acceleration in HannumAge and GrimAge. Furthermore, a decrease in natural killer cells, based on DNAm, was observed in patients with untreated MDD.
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Affiliation(s)
- Ryota Shindo
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takaki Tanifuji
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Toshiyuki Shirai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kentaro Mouri
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
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12
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Jones JD, Martinez S, Gonzalez I, Odom GJ, Comer SD. No evidence of accelerated epigenetic aging among black heroin users: A case vs control analysis. ADDICTION NEUROSCIENCE 2023; 7:100096. [PMID: 37388854 PMCID: PMC10305791 DOI: 10.1016/j.addicn.2023.100096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
This study sought to assess the association between illicit opioid use and accelerated epigenetic aging (A.K.A. DNAm Age) among people of African ancestry who use heroin. DNA was obtained from participants with opioid use disorder (OUD) who confirmed heroin as their primary drug of choice. Clinical inventories of drug use included: the Addiction Severity Index (ASI) Drug-Composite Score (range: 0-1), and Drug Abuse Screening Test (DAST-10; range: 0-10). A control group of participants of African ancestry who did not use heroin was recruited and matched to heroin users on sex, age, socioeconomic level, and smoking status. Methylation data were assessed in an epigenetic clock to determined and compare Epigenetic Age to Chronological Age (i.e., age acceleration or deceleration). Data were obtained from 32 controls [mean age 36.3 (±7.5) years] and 64 heroin users [mean age 48.1 (±6.6) years]. The experimental group used heroin for an average of 18.1 (±10.6) years, reported use of 6.4 (±6.1) bags of heroin/day, with a mean DAST-10 score of 7.0 (±2.6) and ASI Score of 0.33 (±0.19). Mean age acceleration for heroin users [+0.56 (± 9.5) years] was significantly (p< 0.05) lower than controls [+5.19 (± 9.1) years]. This study did not find evidence that heroin use causes epigenetic age acceleration.
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Affiliation(s)
- Jermaine D. Jones
- Department of Psychiatry, Division on Substance Use Disorders, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Suky Martinez
- Department of Psychiatry, Division on Substance Use Disorders, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Ingrid Gonzalez
- Department of Biostatistics, Robert Stempel College of Public Health, Florida International University, 1200 SW 8th St, Miami, FL 33174, USA
| | - Gabriel J. Odom
- Department of Biostatistics, Robert Stempel College of Public Health, Florida International University, 1200 SW 8th St, Miami, FL 33174, USA
| | - Sandra D. Comer
- Department of Psychiatry, Division on Substance Use Disorders, New York State Psychiatric Institute, and Columbia University Irving Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
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13
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Navarro C, Salazar J, Díaz MP, Chacin M, Santeliz R, Vera I, D′Marco L, Parra H, Bernal MC, Castro A, Escalona D, García-Pacheco H, Bermúdez V. Intrinsic and environmental basis of aging: A narrative review. Heliyon 2023; 9:e18239. [PMID: 37576279 PMCID: PMC10415626 DOI: 10.1016/j.heliyon.2023.e18239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 06/26/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023] Open
Abstract
Longevity has been a topic of interest since the beginnings of humanity, yet its aetiology and precise mechanisms remain to be elucidated. Aging is currently viewed as a physiological phenomenon characterized by the gradual degeneration of organic physiology and morphology due to the passage of time where both external and internal stimuli intervene. The influence of intrinsic factors, such as progressive telomere shortening, genome instability due to mutation buildup, the direct or indirect actions of age-related genes, and marked changes in epigenetic, metabolic, and mitochondrial patterns constitute a big part of its underlying endogenous mechanisms. On the other hand, several psychosocial and demographic factors, such as diet, physical activity, smoking, and drinking habits, may have an even more significant impact on shaping the aging process. Consequentially, implementing dietary and exercise patterns has been proposed as the most viable alternative strategy for attenuating the most typical degenerative aging changes, thus increasing the likelihood of prolonging lifespan and achieving successful aging.
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Affiliation(s)
- Carla Navarro
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Juan Salazar
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - María P. Díaz
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Maricarmen Chacin
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla 080001, Colombia
| | - Raquel Santeliz
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Ivana Vera
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Luis D′Marco
- Universidad Cardenal Herrera-CEU Medicine Department, CEU Universities, 46115 Valencia, Spain
| | - Heliana Parra
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | | | - Ana Castro
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Daniel Escalona
- Endocrine and Metabolic Diseases Research Center. School of Medicine. University of Zulia. Maracaibo 4001, Venezuela
| | - Henry García-Pacheco
- Universidad del Zulia, Facultad de Medicina, Departamento de Cirugía. Hospital General del Sur “Dr. Pedro Iturbe”. Maracaibo, Venezuela
- Unidad de Cirugía para la Obesidad y Metabolismo (UCOM). Maracaibo, Venezuela
| | - Valmore Bermúdez
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla 080001, Colombia
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14
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Galkin F, Kovalchuk O, Koldasbayeva D, Zhavoronkov A, Bischof E. Stress, diet, exercise: Common environmental factors and their impact on epigenetic age. Ageing Res Rev 2023; 88:101956. [PMID: 37211319 DOI: 10.1016/j.arr.2023.101956] [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: 02/21/2023] [Revised: 05/13/2023] [Accepted: 05/15/2023] [Indexed: 05/23/2023]
Abstract
Epigenetic aging clocks have gained significant attention as a tool for predicting age-related health conditions in clinical and research settings. They have enabled geroscientists to study the underlying mechanisms of aging and assess the effectiveness of anti-aging therapies, including diet, exercise and environmental exposures. This review explores the effects of modifiable lifestyle factors' on the global DNA methylation landscape, as seen by aging clocks. We also discuss the underlying mechanisms through which these factors contribute to biological aging and provide comments on what these findings mean for people willing to build an evidence-based pro-longevity lifestyle.
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Affiliation(s)
| | - Olga Kovalchuk
- Department of Biological Sciences, University of Lethbridge, Canada
| | | | - Alex Zhavoronkov
- Deep Longevity, Hong Kong; Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, CA, USA
| | - Evelyne Bischof
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China; Shanghai University of Medicine and Health Sciences, Shanghai, China; Division of Cardiology, Department of Advanced Biomedical Sciences, Federico II University, Via S. Pansini, 580131, Naples, Italy
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15
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Mead EA, Wang Y, Patel S, Thekkumthala AP, Kepich R, Benn-Hirsch E, Lee V, Basaly A, Bergeson S, Siegelmann HT, Pietrzykowski AZ. miR-9 utilizes precursor pathways in adaptation to alcohol in mouse striatal neurons. ADVANCES IN DRUG AND ALCOHOL RESEARCH 2023; 3:11323. [PMID: 38116240 PMCID: PMC10730111 DOI: 10.3389/adar.2023.11323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
microRNA-9 (miR-9) is one of the most abundant microRNAs in the mammalian brain, essential for its development and normal function. In neurons, it regulates the expression of several key molecules, ranging from ion channels to enzymes, to transcription factors broadly affecting the expression of many genes. The neuronal effects of alcohol, one of the most abused drugs in the world, seem to be at least partially dependent on regulating the expression of miR-9. We previously observed that molecular mechanisms of the development of alcohol tolerance are miR-9 dependent. Since a critical feature of alcohol action is temporal exposure to the drug, we decided to better understand the time dependence of alcohol regulation of miR-9 biogenesis and expression. We measured the effect of intoxicating concentration of alcohol (20 mM ethanol) on the expression of all major elements of miR-9 biogenesis: three pri-precursors (pri-mir-9-1, pri-mir-9-2, pri-mir-9-3), three pre-precursors (pre-mir-9-1, pre-mir-9-2, pre-mir-9-3), and two mature microRNAs: miR-9-5p and miR-9-3p, using digital PCR and RT-qPCR, and murine primary medium spiny neurons (MSN) cultures. We subjected the neurons to alcohol based on an exposure/withdrawal matrix of different exposure times (from 15 min to 24 h) followed by different withdrawal times (from 0 h to 24 h). We observed that a short exposure increased mature miR-9-5p expression, which was followed by a gradual decrease and subsequent increase of the expression, returning to pre-exposure levels within 24 h. Temporal changes of miR-9-3p expression were complementing miR-9-5p changes. Interestingly, an extended, continuous presence of the drug caused a similar pattern. These results suggest the presence of the adaptive mechanisms of miR-9 expression in the presence and absence of alcohol. Measurement of miR-9 pre- and pri-precursors showed further that the primary effect of alcohol on miR-9 is through the mir-9-2 precursor pathway with a smaller contribution of mir-9-1 and mir-9-3 precursors. Our results provide new insight into the adaptive mechanisms of neurons to alcohol exposure. It would be of interest to determine next which microRNA-based mechanisms are involved in a transition from the acute, intoxicating effects of alcohol to the chronic, addictive effects of the drug.
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Affiliation(s)
- Edward Andrew Mead
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Yongping Wang
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Sunali Patel
- Thermo Fisher Scientific Inc., Austin, TX, United States
| | - Austin P. Thekkumthala
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Rebecca Kepich
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Elizabeth Benn-Hirsch
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Victoria Lee
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Azra Basaly
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
| | - Susan Bergeson
- Department of Cell Biology and Biochemistry, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
| | - Hava T. Siegelmann
- Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates
- Biologically Inspired Neural & Dynamical Systems Laboratory, The Manning College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, United States
| | - Andrzej Zbigniew Pietrzykowski
- Laboratory of Adaptation, Reward and Addiction, Department of Animal Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
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16
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Wang Z, Luo C, Zhou EW, Sandhu AF, Yuan X, Williams GE, Cheng J, Sinha B, Akbar M, Bhattacharya P, Zhou S, Song BJ, Wang X. Molecular Toxicology and Pathophysiology of Comorbid Alcohol Use Disorder and Post-Traumatic Stress Disorder Associated with Traumatic Brain Injury. Int J Mol Sci 2023; 24:ijms24108805. [PMID: 37240148 DOI: 10.3390/ijms24108805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
The increasing comorbidity of alcohol use disorder (AUD) and post-traumatic stress disorder (PTSD) associated with traumatic brain injury (TBI) is a serious medical, economic, and social issue. However, the molecular toxicology and pathophysiological mechanisms of comorbid AUD and PTSD are not well understood and the identification of the comorbidity state markers is significantly challenging. This review summarizes the main characteristics of comorbidity between AUD and PTSD (AUD/PTSD) and highlights the significance of a comprehensive understanding of the molecular toxicology and pathophysiological mechanisms of AUD/PTSD, particularly following TBI, with a focus on the role of metabolomics, inflammation, neuroendocrine, signal transduction pathways, and genetic regulation. Instead of a separate disease state, a comprehensive examination of comorbid AUD and PTSD is emphasized by considering additive and synergistic interactions between the two diseases. Finally, we propose several hypotheses of molecular mechanisms for AUD/PTSD and discuss potential future research directions that may provide new insights and translational application opportunities.
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Affiliation(s)
- Zufeng Wang
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Forensic Medicine, Soochow University, Suzhou 215006, China
| | - Chengliang Luo
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Forensic Medicine, Soochow University, Suzhou 215006, China
| | - Edward W Zhou
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Aaron F Sandhu
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Xiaojing Yuan
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - George E Williams
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jialu Cheng
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Bharati Sinha
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Mohammed Akbar
- Division of Neuroscience & Behavior, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20892, USA
| | - Pallab Bhattacharya
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, Gandhinagar 382355, Gujarat, India
| | - Shuanhu Zhou
- Harvard Medical School, Harvard Stem Cell Institute, Boston, MA 02115, USA
| | - Byoung-Joon Song
- Section of Molecular Pharmacology and Toxicology, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Rockville, MD 20892, USA
| | - Xin Wang
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
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17
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Lima CNC, Kovács EHC, Mirza S, Del Favero-Campbell A, Diaz AP, Quevedo J, Argue BMR, Richards JG, Williams A, Wemmie JA, Magnotta VA, Fiedorowicz JG, Soares JC, Gaine ME, Fries GR. Association between the epigenetic lifespan predictor GrimAge and history of suicide attempt in bipolar disorder. Neuropsychopharmacology 2023; 48:954-962. [PMID: 36878995 PMCID: PMC10156727 DOI: 10.1038/s41386-023-01557-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/07/2023] [Accepted: 02/20/2023] [Indexed: 03/08/2023]
Abstract
Bipolar disorder (BD) has been previously associated with premature mortality and aging, including acceleration of epigenetic aging. Suicide attempts (SA) are greatly elevated in BD and are associated with decreased lifespan, biological aging, and poorer clinical outcomes. We investigated the relationship between GrimAge, an epigenetic clock trained on time-to-death and associated with mortality and lifespan, and SA in two independent cohorts of BD individuals (discovery cohort - controls (n = 50), BD individuals with (n = 77, BD/SA) and without (n = 67, BD/non-SA) lifetime history of SA; replication cohort - BD/SA (n = 48) and BD/non-SA (n = 47)). An acceleration index for the GrimAge clock (GrimAgeAccel) was computed from blood DNA methylation (DNAm) and compared between groups with multiple general linear models. Differences in epigenetic aging from the discovery cohort were validated in the independent replication cohort. In the discovery cohort, controls, BD/non-SA, and BD/SA significantly differed on GrimAgeAccel (F = 5.424, p = 0.005), with the highest GrimAgeAccel in BD/SA (p = 0.004, BD/SA vs. controls). Within the BD individuals, BD/non-SA and BD/SA differed on GrimAgeAccel in both cohorts (p = 0.008) after covariate adjustment. Finally, DNAm-based surrogates revealed possible involvement of plasminogen activator inhibitor 1, leptin, and smoking pack-years in driving accelerated epigenetic aging. These findings pair with existing evidence that not only BD, but also SA, may be associated with an accelerated biological aging and provide putative biological mechanisms for morbidity and premature mortality in this population.
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Affiliation(s)
- Camila N C Lima
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
| | - Emese H C Kovács
- Department of Neuroscience and Pharmacology, The University of Iowa, 51 Newton Rd, 52242, Iowa City, IA, USA
| | - Salahudeen Mirza
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
- Institute of Child Development, University of Minnesota, 51 E River Rd, 55455, Minneapolis, MN, USA
| | - Alexandra Del Favero-Campbell
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
| | - Alexandre Paim Diaz
- Center for the Study and Prevention of Suicide, Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Joao Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave, 77030, Houston, TX, USA
| | - Benney M R Argue
- Pharmaceutical Sciences and Experimental Therapeutics, The University of Iowa, 180 South Grand Ave, 52242, Iowa City, IA, USA
| | - Jenny Gringer Richards
- Department of Radiology, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
| | - Aislinn Williams
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, 169 Newton Rd, 52242, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Radiology, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
- Department of Psychiatry, The University of Iowa, 200 Hawkins Dr, 52242, Iowa City, IA, USA
| | - Jess G Fiedorowicz
- University of Ottawa Brain and Mind Research Institute, Ottawa Hospital Research Institute, 501 Smyth, K1H 8L6, Ottawa, ON, Canada
| | - Jair C Soares
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave, 77030, Houston, TX, USA
| | - Marie E Gaine
- Pharmaceutical Sciences and Experimental Therapeutics, The University of Iowa, 180 South Grand Ave, 52242, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, 169 Newton Rd, 52242, Iowa City, IA, USA
| | - Gabriel R Fries
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA.
- Center of Excellence in Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, 77054, Houston, TX, USA.
- Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave, 77030, Houston, TX, USA.
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin, 77030, Houston, TX, USA.
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18
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Mavromatis LA, Rosoff DB, Bell AS, Jung J, Wagner J, Lohoff FW. Multi-omic underpinnings of epigenetic aging and human longevity. Nat Commun 2023; 14:2236. [PMID: 37076473 PMCID: PMC10115892 DOI: 10.1038/s41467-023-37729-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 03/28/2023] [Indexed: 04/21/2023] Open
Abstract
Biological aging is accompanied by increasing morbidity, mortality, and healthcare costs; however, its molecular mechanisms are poorly understood. Here, we use multi-omic methods to integrate genomic, transcriptomic, and metabolomic data and identify biological associations with four measures of epigenetic age acceleration and a human longevity phenotype comprising healthspan, lifespan, and exceptional longevity (multivariate longevity). Using transcriptomic imputation, fine-mapping, and conditional analysis, we identify 22 high confidence associations with epigenetic age acceleration and seven with multivariate longevity. FLOT1, KPNA4, and TMX2 are novel, high confidence genes associated with epigenetic age acceleration. In parallel, cis-instrument Mendelian randomization of the druggable genome associates TPMT and NHLRC1 with epigenetic aging, supporting transcriptomic imputation findings. Metabolomics Mendelian randomization identifies a negative effect of non-high-density lipoprotein cholesterol and associated lipoproteins on multivariate longevity, but not epigenetic age acceleration. Finally, cell-type enrichment analysis implicates immune cells and precursors in epigenetic age acceleration and, more modestly, multivariate longevity. Follow-up Mendelian randomization of immune cell traits suggests lymphocyte subpopulations and lymphocytic surface molecules affect multivariate longevity and epigenetic age acceleration. Our results highlight druggable targets and biological pathways involved in aging and facilitate multi-omic comparisons of epigenetic clocks and human longevity.
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Affiliation(s)
- Lucas A Mavromatis
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Daniel B Rosoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
- NIH-Oxford-Cambridge Scholars Program, University of Oxford, Oxford, UK
| | - Andrew S Bell
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Jeesun Jung
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Josephin Wagner
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Falk W Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
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19
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Tanifuji T, Okazaki S, Otsuka I, Mouri K, Horai T, Shindo R, Shirai T, Hishimoto A. Epigenetic clock analysis reveals increased plasma cystatin C levels based on DNA methylation in major depressive disorder. Psychiatry Res 2023; 322:115103. [PMID: 36803907 DOI: 10.1016/j.psychres.2023.115103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/01/2023] [Accepted: 02/06/2023] [Indexed: 02/10/2023]
Abstract
Major depressive disorder (MDD) is a common mental illness and a major public health concern worldwide. Depression is associated with epigenetic changes that regulate gene expression, and analyzing these changes may help elucidate the pathophysiology of MDD. Genome-wide DNA methylation (DNAm) profiles can function as 'epigenetic clocks' that can help estimate biological aging. Here, we assessed biological aging in patients with MDD using various DNAm-based indicators of epigenetic aging. We used a publicly available dataset containing data obtained from the whole blood samples of MDD patients (n = 489) and controls (n = 210). We analyzed five epigenetic clocks (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge) and DNAm-based telomere length (DNAmTL). We also investigated seven DNAm-based age-predictive plasma proteins (including cystatin C) and smoking status, which are components of GrimAge. Following adjustment for confounding factors such as age and sex, patients with MDD showed no significant difference in epigenetic clocks and DNAmTL. However, DNAm-based plasma cystatin C levels were significantly higher in patients with MDD than controls. Our findings revealed specific DNAm changes predicting plasma cystatin C levels in MDD. These findings may help elucidate the pathophysiology of MDD, leading to the development of new biomarkers and medications.
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Affiliation(s)
- Takaki Tanifuji
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan.
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Kentaro Mouri
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Ryota Shindo
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Toshiyuki Shirai
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan; Department of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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20
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Lo JO, D’Mello RJ, Watch L, Schust DJ, Murphy SK. An epigenetic synopsis of parental substance use. Epigenomics 2023; 15:453-473. [PMID: 37282544 PMCID: PMC10308258 DOI: 10.2217/epi-2023-0064] [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: 02/21/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023] Open
Abstract
The rate of substance use is rising, especially among reproductive-age individuals. Emerging evidence suggests that paternal pre-conception and maternal prenatal substance use may alter offspring epigenetic regulation (changes to gene expression without modifying DNA) and outcomes later in life, including neurodevelopment and mental health. However, relatively little is known due to the complexities and limitations of existing studies, making causal interpretations challenging. This review examines the contributions and influence of parental substance use on the gametes and potential transmissibility to the offspring's epigenome as possible areas to target public health warnings and healthcare provider counseling of individuals or couples in the pre-conception and prenatal periods to ultimately mitigate short- and long-term offspring morbidity and mortality.
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Affiliation(s)
- Jamie O Lo
- Division of Reproductive & Developmental Sciences, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA; Department of Obstetrics & Gynecology, Maternal Fetal Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Rahul J D’Mello
- Division of Reproductive & Developmental Sciences, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, OR 97006, USA; Department of Obstetrics & Gynecology, Maternal Fetal Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Lester Watch
- Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Danny J Schust
- Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA
- Division of Reproductive Endocrinology & Infertility, Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Susan K Murphy
- Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA
- Division of Reproductive Sciences, Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27701, USA; Division of Environmental Sciences & Policy, Duke Nicholas School of the Environment, Duke University, Durham, NC 27708, USA; Department of Pathology, Duke University Medical Center, Durham, NC, 27710, USA
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21
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Nannini DR, Joyce BT, Zheng Y, Gao T, Wang J, Liu L, Jacobs DR, Schreiner PJ, Liu C, Dai Q, Horvath S, Lu AT, Yaffe K, Greenland P, Lloyd-Jones DM, Hou L. Alcohol consumption and epigenetic age acceleration in young adults. Aging (Albany NY) 2023; 15:371-395. [PMID: 36622282 PMCID: PMC9925681 DOI: 10.18632/aging.204467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 12/16/2022] [Indexed: 01/07/2023]
Abstract
Alcohol is a widely consumed substance in the United States, however its effect on aging remains understudied. In this study of young adults, we examined whether cumulative alcohol consumption, i.e., alcohol years of beer, liquor, wine, and total alcohol, and recent binge drinking, were associated with four measures of age-related epigenetic changes via blood DNA methylation. A random subset of study participants in the Coronary Artery Risk Development in Young Adults Study underwent DNA methylation profiling using the Illumina MethylationEPIC Beadchip. Participants with alcohol consumption and methylation data at examination years 15 (n = 1,030) and 20 (n = 945) were included. Liquor and total alcohol consumption were associated with a 0.31-year (P = 0.002) and a 0.12-year (P = 0.013) greater GrimAge acceleration (GAA) per additional five alcohol years, while beer and wine consumption observed marginal (P = 0.075) and no associations (P = 0.359) with GAA, respectively. Any recent binge drinking and the number of days of binge drinking were associated with a 1.38-year (P < 0.001) and a 0.15-year (P < 0.001) higher GAA, respectively. We observed statistical interactions between cumulative beer (P < 0.001) and total alcohol (P = 0.004) consumption with chronological age, with younger participants exhibiting a higher average in GAA compared to older participants. No associations were observed with the other measures of epigenetic aging. These results suggest cumulative liquor and total alcohol consumption and recent binge drinking may alter age-related epigenetic changes as captured by GAA. With the increasing aging population and widespread consumption of alcohol, these findings may have potential implications for lifestyle modification to promote healthy aging.
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Affiliation(s)
- Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Brian T. Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO 63110, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Qi Dai
- Department of Medicine, Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA
| | - Ake T. Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Kristine Yaffe
- University of California at San Francisco School of Medicine, San Francisco, CA 94143, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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22
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Cabrera-Mendoza B, Stertz L, Najera K, Selvaraj S, Teixeira AL, Meyer TD, Fries GR, Walss-Bass C. Within subject cross-tissue analyzes of epigenetic clocks in substance use disorder postmortem brain and blood. Am J Med Genet B Neuropsychiatr Genet 2023; 192:13-27. [PMID: 36056652 PMCID: PMC9742183 DOI: 10.1002/ajmg.b.32920] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/22/2022] [Accepted: 08/16/2022] [Indexed: 12/14/2022]
Abstract
There is a possible accelerated biological aging in patients with substance use disorders (SUD). The evaluation of epigenetic clocks, which are accurate estimators of biological aging based on DNA methylation changes, has been limited to blood tissue in patients with SUD. Consequently, the impact of biological aging in the brain of individuals with SUD remains unknown. In this study, we evaluated multiple epigenetic clocks (DNAmAge, DNAmAgeHannum, DNAmAgeSkinBlood, DNAmPhenoAge, DNAmGrimAge, and DNAmTL) in individuals with SUD (n = 42), including alcohol (n = 10), opioid (n = 19), and stimulant use disorder (n = 13), and controls (n = 10) in postmortem brain (prefrontal cortex) and blood tissue obtained from the same individuals. We found a higher DNAmPhenoAge (β = 0.191, p-value = 0.0104) and a nominally lower DNAmTL (β = -0.149, p-value = 0.0603) in blood from individuals with SUD compared to controls. SUD subgroup analysis showed a nominally lower brain DNAmTL in subjects with alcohol use disorder, compared to stimulant use disorder and controls (β = 0.0150, p-value = 0.087). Cross-tissue analyzes indicated a lower blood DNAmTL and a higher blood DNAmAge compared to their respective brain values in the SUD group. This study highlights the relevance of tissue specificity in biological aging studies and suggests that peripheral measures of epigenetic clocks in SUD may depend on the specific type of drug used.
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Affiliation(s)
- Brenda Cabrera-Mendoza
- PECEM, Faculty of Medicine, Universidad Nacional
Autónoma de México, Mexico City, 04510, Mexico
| | - Laura Stertz
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
| | - Katherine Najera
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
| | - Sudhakar Selvaraj
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
| | - Antonio L. Teixeira
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
| | - Thomas D. Meyer
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
| | - Gabriel R. Fries
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
- Center for Precision Health, School of Biomedical
Informatics, University of Texas Health Science Center at Houston, Houston, TX,
77054, USA
| | - Consuelo Walss-Bass
- Louis A. Faillace, MD, Department of Psychiatry and
Behavioral Sciences, McGovern Medical School, University of Texas Health Science
Center at Houston, Houston, TX, 77054, USA
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23
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Takemura Y, Tanifuji T, Okazaki S, Shinko Y, Otsuka I, Horai T, Shirai T, Aso K, Yamamoto N, Hishimoto A. Epigenetic clock analysis in methamphetamine dependence. Psychiatry Res 2022; 317:114901. [PMID: 36244160 DOI: 10.1016/j.psychres.2022.114901] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/24/2022] [Accepted: 10/08/2022] [Indexed: 01/05/2023]
Abstract
Methamphetamine (MA) is used worldwide and causes serious public health and social problems. MA affects the central nervous, cardiac, and immune systems, which causes neuropsychiatric and cardiovascular diseases and infection. Epigenetic changes, including DNA methylation (DNAm), are associated with various clinical phenotypes of MA abuse. DNAm is related to biological aging and health risks; hence, we aimed to assess the changes in biological aging in MA dependence using the DNAm age and DNA methylation-based telomere length (DNAmTL). We used five measures of DNAm age (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge), DNAmTL, and DNAm-based age-predictive factors (plasma proteins and blood cell composition). We compared patients with MA dependence and healthy controls (n = 24 each) using the DNAm profiles obtained from whole-blood samples. Patients with MA dependence showed significant acceleration in PhenoAge and GrimAge, as well as a trend for significant acceleration in DNAmTL. Following adjustment for confounding factors, MA dependence was significantly associated with accelerations in PhenoAge, GrimAge, and DNAmTL, as well as alterations in DNAm-based age-predictive factors (beta-2-microglobulin, granulocytes, and naive cluster of differentiation 4+ T cells). Our results suggested an acceleration of biological aging and specific changes in the DNAm of age- predictive factors in MA dependence.
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Affiliation(s)
- Yukihiro Takemura
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan; Department of Psychiatry, Fukko-kai Tarumi Hospital, Kobe, Japan
| | - Takaki Tanifuji
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan.
| | - Yutaka Shinko
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Toshiyuki Shirai
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan
| | - Katsuro Aso
- Department of Psychiatry, Fukko-kai Tarumi Hospital, Kobe, Japan
| | - Noriya Yamamoto
- Department of Psychiatry, Fukko-kai Tarumi Hospital, Kobe, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan; Department of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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24
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Daunay A, Hardy LM, Bouyacoub Y, Sahbatou M, Touvier M, Blanché H, Deleuze JF, How-Kit A. Centenarians consistently present a younger epigenetic age than their chronological age with four epigenetic clocks based on a small number of CpG sites. Aging (Albany NY) 2022; 14:7718-7733. [PMID: 36202132 PMCID: PMC9596211 DOI: 10.18632/aging.204316] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/23/2022] [Indexed: 11/25/2022]
Abstract
Aging is a progressive time-dependent biological process affecting differentially individuals, who can sometimes present exceptional longevity. Epigenetic alterations are one of the hallmarks of aging, which comprise the epigenetic drift and clock at DNA methylation level. In the present study, we estimated the DNA methylation-based age (DNAmage) using four epigenetic clocks based on a small number of CpGs in French centenarians and semi-supercentenarians (CSSC, n=214) as well as nonagenarians' and centenarians' offspring (NCO, n=143) compared to individuals from the French general population (CG, n=149). DNA methylation analysis of the nine CpGs included in the epigenetic clocks showed high correlation with chronological age (-0.66>R>0.54) and also the presence of an epigenetic drift for four CpGs that was only visible in CSSC. DNAmage analysis showed that CSSC and to a lesser extend NCO present a younger DNAmage than their chronological age (15-28.5 years for CSSC, 4.4-11.5 years for NCO and 4.2-8.2 years for CG), which were strongly significant in CSSC compared to CG (p-values<2.2e-16). These differences suggest that epigenetic aging and potentially biological aging are slowed in exceptionally long-lived individuals and that epigenetic clocks based on a small number of CpGs are sufficient to reveal alterations of the global epigenetic clock.
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Affiliation(s)
- Antoine Daunay
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France
| | - Lise M Hardy
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France.,Laboratory of Excellence GenMed, Paris, France
| | - Yosra Bouyacoub
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France.,Laboratory of Excellence GenMed, Paris, France
| | - Mourad Sahbatou
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center Inserm U1153, Inrae U1125, Cnam, University of Paris (CRESS), Bobigny, France
| | - Hélène Blanché
- Laboratory of Excellence GenMed, Paris, France.,Centre de Ressources Biologiques, CEPH Biobank, Foundation Jean Dausset - CEPH, Paris, France
| | - Jean-François Deleuze
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France.,Laboratory of Excellence GenMed, Paris, France.,Centre de Ressources Biologiques, CEPH Biobank, Foundation Jean Dausset - CEPH, Paris, France.,Centre National de Recherche en Génomique Humaine, CEA, Institut François Jacob, Evry, France
| | - Alexandre How-Kit
- Laboratory for Genomics, Foundation Jean Dausset - CEPH, Paris, France
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25
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Carter A, Bares C, Lin L, Reed BG, Bowden M, Zucker RA, Zhao W, Smith JA, Becker JB. Sex-specific and generational effects of alcohol and tobacco use on epigenetic age acceleration in the Michigan longitudinal study. DRUG AND ALCOHOL DEPENDENCE REPORTS 2022; 4. [PMID: 36285173 PMCID: PMC9592053 DOI: 10.1016/j.dadr.2022.100077] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Abstract
Background: Methods: Results: Conclusions:
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26
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Jung J, McCartney DL, Wagner J, Rosoff DB, Schwandt M, Sun H, Wiers CE, de Carvalho LM, Volkow ND, Walker RM, Campbell A, Porteous DJ, McIntosh AM, Marioni RE, Horvath S, Evans KL, Lohoff FW. Alcohol use disorder is associated with DNA methylation-based shortening of telomere length and regulated by TESPA1: implications for aging. Mol Psychiatry 2022; 27:3875-3884. [PMID: 35705636 PMCID: PMC9708583 DOI: 10.1038/s41380-022-01624-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 04/27/2022] [Accepted: 05/11/2022] [Indexed: 02/08/2023]
Abstract
Chronic heavy alcohol consumption is associated with increased mortality and morbidity and often leads to premature aging; however, the mechanisms of alcohol-associated cellular aging are not well understood. In this study, we used DNA methylation derived telomere length (DNAmTL) as a novel approach to investigate the role of alcohol use on the aging process. DNAmTL was estimated by 140 cytosine phosphate guanines (CpG) sites in 372 individuals with alcohol use disorder (AUD) and 243 healthy controls (HC) and assessed using various endophenotypes and clinical biomarkers. Validation in an independent sample of DNAmTL on alcohol consumption was performed (N = 4219). Exploratory genome-wide association studies (GWAS) on DNAmTL were also performed to identify genetic variants contributing to DNAmTL shortening. Top GWAS findings were analyzed using in-silico expression quantitative trait loci analyses and related to structural MRI hippocampus volumes of individuals with AUD. DNAmTL was 0.11-kilobases shorter per year in AUD compared to HC after adjustment for age, sex, race, and blood cell composition (p = 4.0 × 10-12). This association was partially attenuated but remained significant after additionally adjusting for BMI, and smoking status (0.06 kilobases shorter per year, p = 0.002). DNAmTL shortening was strongly associated with chronic heavy alcohol use (ps < 0.001), elevated gamma-glutamyl transferase (GGT), and aspartate aminotransferase (AST) (ps < 0.004). Comparison of DNAmTL with PCR-based methods of assessing TL revealed positive correlations (R = 0.3, p = 2.2 × 10-5), highlighting the accuracy of DNAmTL as a biomarker. The GWAS meta-analysis identified a single nucleotide polymorphism (SNP), rs4374022 and 18 imputed ones in Thymocyte Expressed, Positive Selection Associated 1(TESPA1), at the genome-wide level (p = 3.75 × 10-8). The allele C of rs4374022 was associated with DNAmTL shortening, lower hippocampus volume (p < 0.01), and decreased mRNA expression in hippocampus tissue (p = 0.04). Our study demonstrates DNAmTL-related aging acceleration in AUD and suggests a functional role for TESPA1 in regulating DNAmTL length, possibly via the immune system with subsequent biological effects on brain regions negatively affected by alcohol and implicated in aging.
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Affiliation(s)
- Jeesun Jung
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Josephin Wagner
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Daniel B Rosoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Hui Sun
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Corinde E Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Luana Martins de Carvalho
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Falk W Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
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27
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Unlocking the potential of forensic traces: Analytical approaches to generate investigative leads. Sci Justice 2022; 62:310-326. [PMID: 35598924 DOI: 10.1016/j.scijus.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 03/17/2022] [Accepted: 03/19/2022] [Indexed: 11/21/2022]
Abstract
Forensic investigation involves gathering the information necessary to understand the criminal events as well as linking objects or individuals to an item, location or other individual(s) for investigative purposes. For years techniques such as presumptive chemical tests, DNA profiling or fingermark analysis have been of great value to this process. However, these techniques have their limitations, whether it is a lack of confidence in the results obtained due to cross-reactivity, subjectivity and low sensitivity; or because they are dependent on holding reference samples in a pre-existing database. There is currently a need to devise new ways to gather as much information as possible from a single trace, particularly from biological traces commonly encountered in forensic casework. This review outlines the most recent advancements in the forensic analysis of biological fluids, fingermarks and hair. Special emphasis is placed on analytical methods that can expand the information obtained from the trace beyond what is achieved in the usual practices. Special attention is paid to those methods that accurately determine the nature of the sample, as well as how long it has been at the crime scene, along with individualising information regarding the donor source of the trace.
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28
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Liang X, Sinha R, Justice AC, Cohen MH, Aouizerat BE, Xu K. A new monocyte epigenetic clock reveals nonlinear effects of alcohol consumption on biological aging in three independent cohorts (N = 2242). Alcohol Clin Exp Res 2022; 46:736-748. [PMID: 35257385 PMCID: PMC9117474 DOI: 10.1111/acer.14803] [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] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Assessing the effect of alcohol consumption on biological age is essential for understanding alcohol use-related comorbidities and mortality. Previously developed epigenetic clocks are mainly based on DNA methylation in heterogeneous cell types, which provide limited knowledge on the impacts of alcohol consumption at the individual cellular level. Evidence shows that monocytes play an important role in both alcohol-induced pathophysiology and the aging process. In this study, we developed a novel monocyte-based DNA methylation clock (MonoDNAmAge) to assess the impact of alcohol consumption on monocyte age. METHODS A machine learning method was applied to select a set of chronological age-associated DNA methylation CpG sites from 1202 monocyte methylomes. Pearson correlation was tested between MonoDNAmAge and chronological age in three independent cohorts (Ntotal = 2242). Using the MonoDNAmAge clock and four established clocks (i.e., HorvathDNAmAge, HannumDNAmAge, PhenoDNAmAge, GrimDNAmAge), we then evaluated the effect of alcohol consumption on epigenetic aging in the three cohorts [i.e., Yale Stress Center Community Study (YSCCS), Veteran Aging Cohort Study (VACS), Women's Interagency HIV Study (WIHS)] using linear and quadratic models. RESULTS The MonoDNAmAge, comprised of 186 CpG sites, was moderately to strongly correlated with chronological age in the three cohorts (r = 0.90, p = 3.12E-181 in YSCCS; r = 0.54, p = 1.75E-96 in VACS; r = 0.66, p = 1.50E-60 in WIHS). More importantly, we found a nonlinear association between MonoDNAmAge and alcohol consumption (pmodel = 4.55E-08, px2 = 7.80E-08 in YSCCS; pmodel = 1.85E-02, px2 = 3.46E-02 in VACS). Heavy alcohol consumption increased EAAMonoDNAmAge up to 1.60 years while light alcohol consumption decreased EAAMonoDNAmAge up to 2.66 years. These results were corroborated by the four established epigenetic clocks (i.e., HorvathDNAmAge, HannumDNAmAge, PhenoDNAmAge, GrimDNAmAge). CONCLUSIONS The results suggest a nonlinear relationship between alcohol consumption and its effects on epigenetic age. Considering adverse effects of alcohol consumption on health, nonlinear effects of alcohol use should be interpreted with caution. The findings, for the first time, highlight the complex effects of alcohol consumption on biological aging.
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Affiliation(s)
- Xiaoyu Liang
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA,VA Connecticut Healthcare SystemWest HavenConnecticutUSA,Department of Preventive MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Rajita Sinha
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA,Child Study CenterYale School of MedicineNew HavenConnecticutUSA,Department of NeuroscienceYale School of MedicineNew HavenConnecticutUSA
| | - Amy C. Justice
- VA Connecticut Healthcare SystemWest HavenConnecticutUSA,Yale University School of MedicineNew Haven Veterans Affairs Connecticut Healthcare SystemNew HavenConnecticutUSA
| | - Mardge H. Cohen
- Department of MedicineStroger Hospital of Cook CountyChicagoIllinoisUSA
| | - Bradley E. Aouizerat
- Bluestone Center for Clinical ResearchCollege of DentistryNew York UniversityNew YorkNew YorkUSA,Department of Oral and Maxillofacial SurgeryCollege of DentistryNew York UniversityNew YorkNew YorkUSA
| | - Ke Xu
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA,VA Connecticut Healthcare SystemWest HavenConnecticutUSA
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29
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Cardenas A, Ecker S, Fadadu RP, Huen K, Orozco A, McEwen LM, Engelbrecht HR, Gladish N, Kobor MS, Rosero-Bixby L, Dow WH, Rehkopf DH. Epigenome-wide association study and epigenetic age acceleration associated with cigarette smoking among Costa Rican adults. Sci Rep 2022; 12:4277. [PMID: 35277542 PMCID: PMC8917214 DOI: 10.1038/s41598-022-08160-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 03/03/2022] [Indexed: 12/12/2022] Open
Abstract
Smoking-associated DNA methylation (DNAm) signatures are reproducible among studies of mostly European descent, with mixed evidence if smoking accelerates epigenetic aging and its relationship to longevity. We evaluated smoking-associated DNAm signatures in the Costa Rican Study on Longevity and Healthy Aging (CRELES), including participants from the high longevity region of Nicoya. We measured genome-wide DNAm in leukocytes, tested Epigenetic Age Acceleration (EAA) from five clocks and estimates of telomere length (DNAmTL), and examined effect modification by the high longevity region. 489 participants had a mean (SD) age of 79.4 (10.8) years, and 18% were from Nicoya. Overall, 7.6% reported currently smoking, 35% were former smokers, and 57.4% never smoked. 46 CpGs and five regions (e.g. AHRR, SCARNA6/SNORD39, SNORA20, and F2RL3) were differentially methylated for current smokers. Former smokers had increased Horvath’s EAA (1.69-years; 95% CI 0.72, 2.67), Hannum’s EAA (0.77-years; 95% CI 0.01, 1.52), GrimAge (2.34-years; 95% CI1.66, 3.02), extrinsic EAA (1.27-years; 95% CI 0.34, 2.21), intrinsic EAA (1.03-years; 95% CI 0.12, 1.94) and shorter DNAmTL (− 0.04-kb; 95% CI − 0.08, − 0.01) relative to non-smokers. There was no evidence of effect modification among residents of Nicoya. Our findings recapitulate previously reported and novel smoking-associated DNAm changes in a Latino cohort.
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Affiliation(s)
- Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, 2121 Berkeley Way, #5121, Berkeley, CA, 94720, USA.
| | - Simone Ecker
- UCL Cancer Institute, University College London, London, UK
| | - Raj P Fadadu
- School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Karen Huen
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, 2121 Berkeley Way, #5121, Berkeley, CA, 94720, USA
| | - Allan Orozco
- School of Health Technology, Faculty of Medicine, University of Costa Rica (UCR), San José, San Pedro, Costa Rica
| | - Lisa M McEwen
- Faculty of Human and Social Development, School of Health Information Science, University of Victoria, Victoria, BC, Canada
| | - Hannah-Ruth Engelbrecht
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Nicole Gladish
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Michael S Kobor
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, and BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Luis Rosero-Bixby
- Centro Centroamericano de Población (CCP), Universidad de Costa Rica, San José, Costa Rica
| | - William H Dow
- Division of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - David H Rehkopf
- Department of Epidemiology and Population Health and Department of Medicine, School of Medicine, Stanford University, Palo Alto, CA, USA
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30
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Associations between alcohol consumption and gray and white matter volumes in the UK Biobank. Nat Commun 2022; 13:1175. [PMID: 35246521 PMCID: PMC8897479 DOI: 10.1038/s41467-022-28735-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 01/26/2022] [Indexed: 12/11/2022] Open
Abstract
Heavy alcohol consumption has been associated with brain atrophy, neuronal loss, and poorer white matter fiber integrity. However, there is conflicting evidence on whether light-to-moderate alcohol consumption shows similar negative associations with brain structure. To address this, we examine the associations between alcohol intake and brain structure using multimodal imaging data from 36,678 generally healthy middle-aged and older adults from the UK Biobank, controlling for numerous potential confounds. Consistent with prior literature, we find negative associations between alcohol intake and brain macrostructure and microstructure. Specifically, alcohol intake is negatively associated with global brain volume measures, regional gray matter volumes, and white matter microstructure. Here, we show that the negative associations between alcohol intake and brain macrostructure and microstructure are already apparent in individuals consuming an average of only one to two daily alcohol units, and become stronger as alcohol intake increases.
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31
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Lohoff FW, Clarke TK, Kaminsky ZA, Walker RM, Bermingham ML, Jung J, Morris SW, Rosoff D, Campbell A, Barbu M, Charlet K, Adams M, Lee J, Howard DM, O'Connell EM, Whalley H, Porteous DJ, McIntosh AM, Evans KL. Epigenome-wide association study of alcohol consumption in N = 8161 individuals and relevance to alcohol use disorder pathophysiology: identification of the cystine/glutamate transporter SLC7A11 as a top target. Mol Psychiatry 2022; 27:1754-1764. [PMID: 34857913 PMCID: PMC9095480 DOI: 10.1038/s41380-021-01378-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 09/22/2021] [Accepted: 10/25/2021] [Indexed: 12/23/2022]
Abstract
Alcohol misuse is common in many societies worldwide and is associated with extensive morbidity and mortality, often leading to alcohol use disorders (AUD) and alcohol-related end-organ damage. The underlying mechanisms contributing to the development of AUD are largely unknown; however, growing evidence suggests that alcohol consumption is strongly associated with alterations in DNA methylation. Identification of alcohol-associated methylomic variation might provide novel insights into pathophysiology and novel treatment targets for AUD. Here we performed the largest single-cohort epigenome-wide association study (EWAS) of alcohol consumption to date (N = 8161) and cross-validated findings in AUD populations with relevant endophenotypes, as well as alcohol-related animal models. Results showed 2504 CpGs significantly associated with alcohol consumption (Bonferroni p value < 6.8 × 10-8) with the five leading probes located in SLC7A11 (p = 7.75 × 10-108), JDP2 (p = 1.44 × 10-56), GAS5 (p = 2.71 × 10-47), TRA2B (p = 3.54 × 10-42), and SLC43A1 (p = 1.18 × 10-40). Genes annotated to associated CpG sites are implicated in liver and brain function, the cellular response to alcohol and alcohol-associated diseases, including hypertension and Alzheimer's disease. Two-sample Mendelian randomization confirmed the causal relationship of consumption on AUD risk (inverse variance weighted (IVW) p = 5.37 × 10-09). A methylation-based predictor of alcohol consumption was able to discriminate AUD cases in two independent cohorts (p = 6.32 × 10-38 and p = 5.41 × 10-14). The top EWAS probe cg06690548, located in the cystine/glutamate transporter SLC7A11, was replicated in an independent cohort of AUD and control participants (N = 615) and showed strong hypomethylation in AUD (p < 10-17). Decreased CpG methylation at this probe was consistently associated with clinical measures including increased heavy drinking days (p < 10-4), increased liver function enzymes (GGT (p = 1.03 × 10-21), ALT (p = 1.29 × 10-6), and AST (p = 1.97 × 10-8)) in individuals with AUD. Postmortem brain analyses documented increased SLC7A11 expression in the frontal cortex of individuals with AUD and animal models showed marked increased expression in liver, suggesting a mechanism by which alcohol leads to hypomethylation-induced overexpression of SLC7A11. Taken together, our EWAS discovery sample and subsequent validation of the top probe in AUD suggest a strong role of abnormal glutamate signaling mediated by methylomic variation in SLC7A11. Our data are intriguing given the prominent role of glutamate signaling in brain and liver and might provide an important target for therapeutic intervention.
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Affiliation(s)
- Falk W Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Zachary A Kaminsky
- Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Mairead L Bermingham
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Jeesun Jung
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Stewart W Morris
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Daniel Rosoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Miruna Barbu
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Katrin Charlet
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Mark Adams
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Jisoo Lee
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - David M Howard
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Emma M O'Connell
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Heather Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
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32
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Shinko Y, Okazaki S, Otsuka I, Horai T, Kim S, Tanifuji T, Hishimoto A. Accelerated epigenetic age and shortened telomere length based on DNA methylation in Nicolaides-Baraitser syndrome. Mol Genet Genomic Med 2022; 10:e1876. [PMID: 35092358 PMCID: PMC8922957 DOI: 10.1002/mgg3.1876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/06/2021] [Accepted: 01/06/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Nicolaides-Baraitser syndrome (NCBRS) is a rare disorder characterized by neurodevelopmental delays, seizures, and diverse physical characteristics. The DNA methylation (DNAm) profile in NCBRS is significantly different. DNAm is linked to the biological aging of cells and the health risks associated with biological aging. In this study, we examined changes in biological ages in NCBRS to provide insights into the prognosis and health risks of NCBRS. METHODS We used a publicly available dataset to examine biological aging in NCBRS using DNAm-based epigenetic ages, such as PhenoAge and GrimAge, as well as DNAm-based estimator of telomere length (DNAmTL). We investigated 12 cases, clinically diagnosed as NCBRS, and 27 controls. RESULTS Compared to controls, NCBRS cases exhibited significantly accelerated PhenoAge and GrimAge as well as significantly shortened DNAmTL. CONCLUSION These results suggest an acceleration of biological aging in NCBRS and provide insights into the prognosis and health risks of NCBRS.
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Affiliation(s)
- Yutaka Shinko
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Saehyeon Kim
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takaki Tanifuji
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.,Department of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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33
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Bøstrand SM, Vaher K, de Nooij L, Harris MA, Cole JH, Cox SR, Marioni RE, McCartney DL, Walker RM, McIntosh AM, Evans KL, Whalley HC, Wootton RE, Clarke TK. Associations between alcohol use and accelerated biological ageing. Addict Biol 2022; 27:e13100. [PMID: 34636470 PMCID: PMC7614236 DOI: 10.1111/adb.13100] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 08/31/2021] [Accepted: 09/13/2021] [Indexed: 12/12/2022]
Abstract
Harmful alcohol use is a leading cause of premature death and is associated with age-related disease. Biological ageing is highly variable between individuals and may deviate from chronological ageing, suggesting that biomarkers of biological ageing (derived from DNA methylation or brain structural measures) may be clinically relevant. Here, we investigated the relationships between alcohol phenotypes and both brain and DNA methylation age estimates. First, using data from UK Biobank and Generation Scotland, we tested the association between alcohol consumption (units/week) or hazardous use (Alcohol Use Disorders Identification Test [AUDIT] scores) and accelerated brain and epigenetic ageing in 20,258 and 8051 individuals, respectively. Second, we used Mendelian randomisation (MR) to test for a causal effect of alcohol consumption levels and alcohol use disorder (AUD) on biological ageing. Alcohol use showed a consistent positive association with higher predicted brain age (AUDIT-C: β = 0.053, p = 3.16 × 10-13 ; AUDIT-P: β = 0.052, p = 1.6 × 10-13 ; total AUDIT score: β = 0.062, p = 5.52 × 10-16 ; units/week: β = 0.078, p = 2.20 × 10-16 ), and two DNA methylation-based estimates of ageing, GrimAge (units/week: β = 0.053, p = 1.48 × 10-7 ) and PhenoAge (units/week: β = 0.077, p = 2.18x10-10 ). MR analyses revealed limited evidence for a causal effect of AUD on accelerated brain ageing (β = 0.118, p = 0.044). However, this result should be interpreted cautiously as the significant effect was driven by a single genetic variant. We found no evidence for a causal effect of alcohol consumption levels on accelerated biological ageing. Future studies investigating the mechanisms associating alcohol use with accelerated biological ageing are warranted.
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Affiliation(s)
- Sunniva M.K. Bøstrand
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, UK
| | - Kadi Vaher
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
- MRC Centre for Reproductive Health, The Queen’s Medical Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Laura de Nooij
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
| | - Matthew A. Harris
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
| | - James H. Cole
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Simon R. Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Daniel L. McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Rosie M. Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Andrew M. McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
| | - Kathryn L. Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, UK
| | - Heather C. Whalley
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
| | - Robyn E. Wootton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Psychological Science, University of Bristol, Bristol, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, Royal Edinburgh Hospital, The University of Edinburgh, Edinburgh, UK
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34
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Salminen LE, Tubi MA, Bright J, Thomopoulos SI, Wieand A, Thompson PM. Sex is a defining feature of neuroimaging phenotypes in major brain disorders. Hum Brain Mapp 2022; 43:500-542. [PMID: 33949018 PMCID: PMC8805690 DOI: 10.1002/hbm.25438] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 03/22/2021] [Accepted: 03/23/2021] [Indexed: 12/12/2022] Open
Abstract
Sex is a biological variable that contributes to individual variability in brain structure and behavior. Neuroimaging studies of population-based samples have identified normative differences in brain structure between males and females, many of which are exacerbated in psychiatric and neurological conditions. Still, sex differences in MRI outcomes are understudied, particularly in clinical samples with known sex differences in disease risk, prevalence, and expression of clinical symptoms. Here we review the existing literature on sex differences in adult brain structure in normative samples and in 14 distinct psychiatric and neurological disorders. We discuss commonalities and sources of variance in study designs, analysis procedures, disease subtype effects, and the impact of these factors on MRI interpretation. Lastly, we identify key problems in the neuroimaging literature on sex differences and offer potential recommendations to address current barriers and optimize rigor and reproducibility. In particular, we emphasize the importance of large-scale neuroimaging initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analyses consortium, the UK Biobank, Human Connectome Project, and others to provide unprecedented power to evaluate sex-specific phenotypes in major brain diseases.
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Affiliation(s)
- Lauren E. Salminen
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Meral A. Tubi
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Joanna Bright
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Sophia I. Thomopoulos
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Alyssa Wieand
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
| | - Paul M. Thompson
- Imaging Genetics CenterMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USCMarina del ReyCaliforniaUSA
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35
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Dupras C, Bunnik EM. Toward a Framework for Assessing Privacy Risks in Multi-Omic Research and Databases. THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2021; 21:46-64. [PMID: 33433298 DOI: 10.1080/15265161.2020.1863516] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
While the accumulation and increased circulation of genomic data have captured much attention over the past decade, privacy risks raised by the diversification and integration of omics have been largely overlooked. In this paper, we propose the outline of a framework for assessing privacy risks in multi-omic research and databases. Following a comparison of privacy risks associated with genomic and epigenomic data, we dissect ten privacy risk-impacting omic data properties that affect either the risk of re-identification of research participants, or the sensitivity of the information potentially conveyed by biological data. We then propose a three-step approach for the assessment of privacy risks in the multi-omic era. Thus, we lay grounds for a data property-based, 'pan-omic' approach that moves away from genetic exceptionalism. We conclude by inviting our peers to refine these theoretical foundations, put them to the test in their respective fields, and translate our approach into practical guidance.
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Piniewska-Róg D, Heidegger A, Pośpiech E, Xavier C, Pisarek A, Jarosz A, Woźniak A, Wojtas M, Phillips C, Kayser M, Parson W, Branicki W. Impact of excessive alcohol abuse on age prediction using the VISAGE enhanced tool for epigenetic age estimation in blood. Int J Legal Med 2021; 135:2209-2219. [PMID: 34405265 PMCID: PMC8523459 DOI: 10.1007/s00414-021-02665-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/06/2021] [Indexed: 12/13/2022]
Abstract
DNA methylation-based clocks provide the most accurate age estimates with practical implications for clinical and forensic genetics. However, the effects of external factors that may influence the estimates are poorly studied. Here, we evaluated the effect of alcohol consumption on epigenetic age prediction in a cohort of extreme alcohol abusers. Blood samples from deceased alcohol abusers and age- and sex-matched controls were analyzed using the VISAGE enhanced tool for age prediction from somatic tissues that enables examination of 44 CpGs within eight age markers. Significantly altered DNA methylation was recorded for alcohol abusers in MIR29B2CHG. This resulted in a mean predicted age of 1.4 years higher compared to the controls and this trend increased in older individuals. The association of alcohol abuse with epigenetic age acceleration, as determined by the prediction analysis performed based on MIR29B2CHG, was small but significant (β = 0.190; P-value = 0.007). However, the observed alteration in DNA methylation of MIR29B2CHG had a non-significant effect on age estimation with the VISAGE age prediction model. The mean absolute error in the alcohol-abusing cohort was 3.1 years, compared to 3.3 years in the control group. At the same time, upregulation of MIR29B2CHG expression may have a biological function, which merits further studies.
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Affiliation(s)
- Danuta Piniewska-Róg
- Jagiellonian University Medical College, Faculty of Medicine, Department of Forensic Medicine, Grzegórzecka 16, 31-531, Krakow, Poland
| | - Antonia Heidegger
- Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria
| | - Ewelina Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland
| | - Catarina Xavier
- Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria
| | - Aleksandra Pisarek
- Malopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland
| | - Agata Jarosz
- Malopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland
| | - Anna Woźniak
- Central Forensic Laboratory of the Police, Aleje Ujazdowskie 7, 00-583, Warsaw, Poland
| | - Marta Wojtas
- Jagiellonian University Medical College, Faculty of Medicine, Department of Forensic Medicine, Grzegórzecka 16, 31-531, Krakow, Poland
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, R/ San Francisco s/n, 15782, Santiago de Compostela, Spain
| | - Manfred Kayser
- Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Muellerstrasse 44, 6020, Innsbruck, Austria
- Forensic Science Program, The Pennsylvania State University, 13 Thomas Building, University Park, PA, 16802, USA
| | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Gronostajowa 7A, 30-348, Krakow, Poland.
- Central Forensic Laboratory of the Police, Aleje Ujazdowskie 7, 00-583, Warsaw, Poland.
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37
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Noroozi R, Ghafouri-Fard S, Pisarek A, Rudnicka J, Spólnicka M, Branicki W, Taheri M, Pośpiech E. DNA methylation-based age clocks: From age prediction to age reversion. Ageing Res Rev 2021; 68:101314. [PMID: 33684551 DOI: 10.1016/j.arr.2021.101314] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 02/25/2021] [Accepted: 03/01/2021] [Indexed: 12/12/2022]
Abstract
Aging as an irretrievable occurrence throughout the entire life is characterized by a progressive decline in physiological functionality and enhanced disease vulnerability. Numerous studies have demonstrated that epigenetic modifications, particularly DNA methylation (DNAm), correlate with aging and age-related diseases. Several investigations have attempted to predict chronological age using the age-related alterations in the DNAm of certain CpG sites. Here we categorize different studies that tracked the aging process in the DNAm landscape to show how epigenetic age clocks evolved from a chronological age estimator to an indicator of lifespan and healthspan. We also describe the health and disease predictive potential of estimated epigenetic age acceleration regarding different clinical conditions and lifestyle factors. Considering the revealed age-related epigenetic changes, the recent age-reprogramming strategies are discussed which are promising methods for resetting the aging clocks.
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Affiliation(s)
- Rezvan Noroozi
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aleksandra Pisarek
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | - Joanna Rudnicka
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | | | - Wojciech Branicki
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
| | - Mohammad Taheri
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Ewelina Pośpiech
- Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
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38
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Tomasi D, Wiers CE, Manza P, Shokri-Kojori E, Michele-Vera Y, Zhang R, Kroll D, Feldman D, McPherson K, Biesecker C, Schwandt M, Diazgranados N, Koob GF, Wang GJ, Volkow ND. Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction. Cereb Cortex 2021; 31:3254-3265. [PMID: 33629726 DOI: 10.1093/cercor/bhab006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/04/2021] [Accepted: 01/07/2021] [Indexed: 02/07/2023] Open
Abstract
Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-based classifier (MC) was developed to identify subcortical volumes that distinguished 32 healthy controls (HCs) from 33 AUD patients, who were scanned twice, during early and later withdrawal, to assess the effect of abstinence on MC-features (Discovery cohort). We validated the novel classifier in an independent Validation cohort (19 AUD patients and 20 HCs). MC-accuracy reached 80% (Discovery) and 72% (Validation). MC features included the hippocampus, amygdala, cerebellum, putamen, corpus callosum, and brain stem, which were smaller and showed stronger age-related decreases in AUD than HCs, and the ventricles and cerebrospinal fluid, which were larger in AUD and older participants. The volume of the amygdala showed a positive association with anxiety and negative urgency in AUD. Repeated imaging during the third week of detoxification revealed slightly larger subcortical volumes in AUD patients, consistent with partial recovery during abstinence. The steeper age-associated volumetric reductions in stress- and reward-related subcortical regions in AUD are consistent with accelerated aging, whereas the amygdalar associations with negative urgency and anxiety in AUD patients support its involvement in the "dark side of addiction".
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Affiliation(s)
- Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | | | - Yonga Michele-Vera
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Danielle Kroll
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dana Feldman
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | | | | | - Melanie Schwandt
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nancy Diazgranados
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - George F Koob
- National Institute on Drug Abuse, Bethesda, MD 21224, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
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39
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Araujo I, Henriksen A, Gamsby J, Gulick D. Impact of Alcohol Abuse on Susceptibility to Rare Neurodegenerative Diseases. Front Mol Biosci 2021; 8:643273. [PMID: 34179073 PMCID: PMC8220155 DOI: 10.3389/fmolb.2021.643273] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 01/14/2021] [Indexed: 12/22/2022] Open
Abstract
Despite the prevalence and well-recognized adverse effects of prenatal alcohol exposure and alcohol use disorder in the causation of numerous diseases, their potential roles in the etiology of neurodegenerative diseases remain poorly characterized. This is especially true of the rare neurodegenerative diseases, for which small population sizes make it difficult to conduct broad studies of specific etiological factors. Nonetheless, alcohol has potent and long-lasting effects on neurodegenerative substrates, at both the cellular and systems levels. This review highlights the general effects of alcohol in the brain that contribute to neurodegeneration across diseases, and then focuses on specific diseases in which alcohol exposure is likely to play a major role. These specific diseases include dementias (alcohol-induced, frontotemporal, and Korsakoff syndrome), ataxias (cerebellar and frontal), and Niemann-Pick disease (primarily a Type B variant and Type C). We conclude that there is ample evidence to support a role of alcohol abuse in the etiology of these diseases, but more work is needed to identify the primary mechanisms of alcohol's effects.
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Affiliation(s)
- Iskra Araujo
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
| | - Amy Henriksen
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
| | - Joshua Gamsby
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
- Department of Molecular Medicine, Morsani College of Medicine, University of South FL, Tampa, FL, United States
| | - Danielle Gulick
- Gulick Laboratory, Byrd Neuroscience Institute, University of South Florida Health, Tampa, FL, United States
- Department of Molecular Medicine, Morsani College of Medicine, University of South FL, Tampa, FL, United States
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40
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Lohoff FW, Roy A, Jung J, Longley M, Rosoff DB, Luo A, O'Connell E, Sorcher JL, Sun H, Schwandt M, Hodgkinson CA, Goldman D, Momenan R, McIntosh AM, Adams MJ, Walker RM, Evans KL, Porteous D, Smith AK, Lee J, Muench C, Charlet K, Clarke TK, Kaminsky ZA. Epigenome-wide association study and multi-tissue replication of individuals with alcohol use disorder: evidence for abnormal glucocorticoid signaling pathway gene regulation. Mol Psychiatry 2021; 26:2224-2237. [PMID: 32398718 PMCID: PMC7658001 DOI: 10.1038/s41380-020-0734-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 03/13/2020] [Accepted: 04/14/2020] [Indexed: 12/12/2022]
Abstract
Alcohol use disorder (AUD) is a chronic debilitating disorder with limited treatment options and poorly defined pathophysiology. There are substantial genetic and epigenetic components; however, the underlying mechanisms contributing to AUD remain largely unknown. We conducted the largest DNA methylation epigenome-wide association study (EWAS) analyses currently available for AUD (total N = 625) and employed a top hit replication (N = 4798) using a cross-tissue/cross-phenotypic approach with the goal of identifying novel epigenetic targets relevant to AUD. Results show that a network of differentially methylated regions in glucocorticoid signaling and inflammation-related genes were associated with alcohol use behaviors. A top probe consistently associated across all cohorts was located in the long non-coding RNA growth arrest specific five gene (GAS5) (p < 10-24). GAS5 has been implicated in regulating transcriptional activity of the glucocorticoid receptor and has multiple functions related to apoptosis, immune function and various cancers. Endophenotypic analyses using peripheral cortisol levels and neuroimaging paradigms showed that methylomic variation in GAS5 network-related probes were associated with stress phenotypes. Postmortem brain analyses documented increased GAS5 expression in the amygdala of individuals with AUD. Our data suggest that alcohol use is associated with differential methylation in the glucocorticoid system that might influence stress and inflammatory reactivity and subsequently risk for AUD.
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Affiliation(s)
- Falk W Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Arunima Roy
- Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Canada
| | - Jeesun Jung
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Martha Longley
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Daniel B Rosoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Audrey Luo
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Emma O'Connell
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Jill L Sorcher
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Hui Sun
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Colin A Hodgkinson
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - David Goldman
- Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Reza Momenan
- Clinical Neuroimaging Research Core, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Rosie M Walker
- Medical Genetic Section, Centre for Genomic and Experimental Medicine, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Medical Genetic Section, Centre for Genomic and Experimental Medicine, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - David Porteous
- Medical Genetic Section, Centre for Genomic and Experimental Medicine, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, Georgia, USA
- Department of Psychiatry & Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Jisoo Lee
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Christine Muench
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Katrin Charlet
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Toni-Kim Clarke
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Zachary A Kaminsky
- Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Canada
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41
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Kresovich JK, Martinez Lopez AM, Garval EL, Xu Z, White AJ, Sander DP, Taylor JA. Alcohol consumption and methylation-based measures of biological age. J Gerontol A Biol Sci Med Sci 2021; 76:2107-2111. [PMID: 34038541 DOI: 10.1093/gerona/glab149] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Indexed: 12/12/2022] Open
Abstract
Epigenetic age acceleration is considered a measure of biological aging based on genome-wide patterns of DNA methylation. Although age acceleration has been associated with incidence of diseases and death, less is known about how it is related to lifestyle behaviors. Among 2,316 women, we evaluate associations between self-reported alcohol consumption and various metrics of epigenetic age acceleration. Recent average alcohol consumption was defined as the mean number of drinks consumed per week within the past year; lifetime average consumption was estimated as the mean number of drinks per year drinking. Whole blood genome-wide DNA methylation was measured with HumanMethylation450 BeadChips and used to assess four epigenetic clocks (Hannum, Horvath, PhenoAge, GrimAge) and their corresponding metrics of epigenetic age acceleration (Hannum AgeAccel, Horvath AgeAccel, PhenoAgeAccel, GrimAgeAccel). Although alcohol consumption showed little association with most age acceleration metrics, both lifetime and recent average consumption measures were positively associated with GrimAgeAccel (lifetime, per additional 135 drinks/year: β=0.30 years, 95% CI: 0.11, 0.48, p=0.002; recent, per additional 5 drinks/week: β=0.19 years, 95% CI: 0.01, 0.37, p=0.04). In a mutually adjusted model, only average lifetime alcohol consumption remained associated with GrimAgeAccel (lifetime, per additional 135 drinks/year: β=0.27 years, 95% CI: 0.04, 0.50, p=0.02; recent, per 5 additional drinks/week: β=0.05 years, 95% CI: -0.16, 0.26, p=0.64). Although alcohol use does not appear to be strongly associated with biological age measured by most epigenetic clocks, lifetime average consumption is associated with higher biological age assessed by the GrimAge epigenetic clock.
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Affiliation(s)
- Jacob K Kresovich
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | | | - Emma L Garval
- Keck Science Department, Scripps College, Claremont, CA
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | - Dale P Sander
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC.,Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
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42
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Combined healthy lifestyle score and risk of epigenetic aging: a discordant monozygotic twin study. Aging (Albany NY) 2021; 13:14039-14052. [PMID: 34032609 PMCID: PMC8202852 DOI: 10.18632/aging.203022] [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: 01/14/2021] [Accepted: 04/02/2021] [Indexed: 01/24/2023]
Abstract
We investigated whether lifestyle influences epigenetic aging in 143 monozygotic twin pairs discordant for the combined healthy lifestyle score. Twins were scored for four lifestyle factors as unhealthy or healthy; non-smoker, moderate drinker, adequate fruit and vegetable intake, and sufficient physical activity. The combined healthy lifestyle score was calculated for each participant by summing the binary score for each factor. Individual and co-twin analyses were used to assess the relationship between single or combined lifestyle scores, along with DNA methylation age acceleration (AA) calculated using Horvath’s and Li’s epigenetic clocks, focusing on AA and intrinsic epigenetic age acceleration (IEAA) measures. Compared with the twins that scored no or one healthy lifestyle point, those who scored four healthy lifestyle points had lower Li_IEAA with similar results observed in the co-twin analysis. No significant relationships were found in analyses based on Horvath’s clock, although the direction of correlations was consistent with that determined using Li’s clock. Smoking and drinking did not significantly affect DNA methylation AA; however, physical activity and intake of vegetables and fruits did, although the influence varied depending on the epigenetic clock. Our findings suggest that a healthy lifestyle may be an important way to delay aging and prevent age-related diseases.
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43
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Xiao C, Beitler JJ, Peng G, Levine ME, Conneely KN, Zhao H, Felger JC, Wommack EC, Chico CE, Jeon S, Higgins KA, Shin DM, Saba NF, Burtness BA, Bruner DW, Miller AH. Epigenetic age acceleration, fatigue, and inflammation in patients undergoing radiation therapy for head and neck cancer: A longitudinal study. Cancer 2021; 127:3361-3371. [PMID: 34027995 DOI: 10.1002/cncr.33641] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/12/2021] [Accepted: 03/22/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND The authors measured epigenetic age acceleration (EAA) during and after cancer treatment and its association with inflammation and fatigue, which is a debilitating symptom in patients with cancer. METHODS Patients who had head and neck cancer without distant metastases were assessed before, immediately after, and at 6 months and 12 months postradiotherapy. Blood DNA methylation was assessed using a proprietary bead chip (the Illumina MethylationEPIC BeadChip). EAA was calculated using the Levine epigenetic clock (DNAmPhenoAge), adjusted for chronological age. Fatigue was assessed using the Multidimensional Fatigue Inventory-20. Inflammatory markers were measured using standard techniques. RESULTS Most patients (N = 133) were men, White, had advanced disease, and received concurrent chemoradiation. EAA changes over time were significant, with the largest increase (4.9 years) observed immediately after radiotherapy (P < .001). Increased EAA was associated with elevated fatigue (P = .003) over time, and patients who had severe fatigue experienced 3.1 years higher EAA than those who had low fatigue (P < .001), which was more prominent (5.6 years; P = .018) for patients who had human papillomavirus-unrelated disease at 12 months posttreatment. EAA was also positively associated with inflammatory markers, including C-reactive protein (CRP) and interleukin-6 (IL-6), over time (P < .001), and patients who had high CRP and IL-6 levels exhibited increases of 4.6 and 5.9 years, respectively, in EAA compared with those who had low CRP and IL-6 levels (P < .001). CRP and IL-6 mediated the association between EAA and fatigue (CRP: 95% CI, 0.060-0.279; IL-6: 95% CI, 0.024-0.220). CONCLUSIONS Patients with head and neck cancer experienced increased EAA, especially immediately after treatment completion. EAA was associated with greater fatigue and inflammation, including 1 year after treatment. Inflammation may be a target to reduce the impact of age acceleration on poor functional outcomes.
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Affiliation(s)
- Canhua Xiao
- Emory University School of Nursing, Atlanta, Georgia
| | | | - Gang Peng
- Yale University School of Medicine, New Haven, Connecticut
| | | | | | - Hongyu Zhao
- Yale School of Public Health, New Haven, Connecticut
| | | | | | | | - Sangchoon Jeon
- Yale University School of Nursing, New Haven, Connecticut
| | | | - Dong M Shin
- Emory University School of Medicine, Atlanta, Georgia
| | - Nabil F Saba
- Emory University School of Medicine, Atlanta, Georgia
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44
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Rackova L, Mach M, Brnoliakova Z. An update in toxicology of ageing. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 84:103611. [PMID: 33581363 DOI: 10.1016/j.etap.2021.103611] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 01/17/2021] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
The field of ageing research has been rapidly advancing in recent decades and it had provided insight into the complexity of ageing phenomenon. However, as the organism-environment interaction appears to significantly affect the organismal pace of ageing, the systematic approach for gerontogenic risk assessment of environmental factors has yet to be established. This puts demand on development of effective biomarker of ageing, as a relevant tool to quantify effects of gerontogenic exposures, contingent on multidisciplinary research approach. Here we review the current knowledge regarding the main endogenous gerontogenic pathways involved in acceleration of ageing through environmental exposures. These include inflammatory and oxidative stress-triggered processes, dysregulation of maintenance of cellular anabolism and catabolism and loss of protein homeostasis. The most effective biomarkers showing specificity and relevancy to ageing phenotypes are summarized, as well. The crucial part of this review was dedicated to the comprehensive overview of environmental gerontogens including various types of radiation, certain types of pesticides, heavy metals, drugs and addictive substances, unhealthy dietary patterns, and sedentary life as well as psychosocial stress. The reported effects in vitro and in vivo of both recognized and potential gerontogens are described with respect to the up-to-date knowledge in geroscience. Finally, hormetic and ageing decelerating effects of environmental factors are briefly discussed, as well.
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Affiliation(s)
- Lucia Rackova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia.
| | - Mojmir Mach
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
| | - Zuzana Brnoliakova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
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45
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Hanson BM, Tao X, Zhan Y, Jenkins TG, Morin SJ, Scott RT, Seli EU. Young women with poor ovarian response exhibit epigenetic age acceleration based on evaluation of white blood cells using a DNA methylation-derived age prediction model. Hum Reprod 2021; 35:2579-2588. [PMID: 33049778 DOI: 10.1093/humrep/deaa206] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 07/22/2020] [Indexed: 12/14/2022] Open
Abstract
STUDY QUESTION Is poor ovarian response associated with a change in predicted age based on a DNA methylation-derived age prediction model (the Horvath algorithm) in white blood cells (WBCs) or cumulus cells (CCs)? SUMMARY ANSWER In young women, poor ovarian response is associated with epigenetic age acceleration within WBC samples but is not associated with age-related changes in CC. WHAT IS KNOWN ALREADY The majority of human tissues follow predictable patterns of methylation which can be assessed throughout a person's lifetime. DNA methylation patterns may serve as informative biomarkers of aging within various tissues. Horvath's 'epigenetic clock', which is a DNA methylation-derived age prediction model, accurately predicts a subject's true chronologic age when applied to WBC but not to CC. STUDY DESIGN, SIZE, DURATION A prospective cohort study was carried out involving 175 women undergoing ovarian stimulation between February 2017 and December 2018. Women were grouped according to a poor (≤5 oocytes retrieved) or good (>5 oocytes) response to ovarian stimulation. Those with polycystic ovary syndrome (PCOS) (n = 35) were placed in the good responder group. PARTICIPANTS/MATERIALS, SETTING, METHODS DNA methylation patterns from WBC and CC were assessed for infertile patients undergoing ovarian stimulation at a university-affiliated private practice. DNA was isolated from peripheral blood samples and CC. Bisulfite conversion was then performed and a DNA methylation array was utilized to measure DNA methylation levels throughout the genome. Likelihood ratio tests were utilized to assess the relationship between predicted age, chronologic age and ovarian response. MAIN RESULTS AND THE ROLE OF CHANCE The Horvath-predicted age for WBC samples was consistent with patients' chronologic age. However, predicted age from analysis of CC was younger than chronologic age. In subgroup analysis of women less than 38 years of age, poor ovarian response was associated with an accelerated predicted age in WBC (P = 0.017). Poor ovarian response did not affect the Horvath-predicted age based on CC samples (P = 0.502). No alternative methylation-based calculation was identified to be predictive of age for CC. LIMITATIONS, REASONS FOR CAUTION To date, analyses of CC have failed to identify epigenetic changes that are predictive of the aging process within the ovary. Despite the poor predictive nature of both the Horvath model and the novel methylation-based age prediction model described here, it is possible that our efforts failed to identify appropriate sites which would result in a successful age-prediction model derived from the CC epigenome. Additionally, lower DNA input for CC samples compared to WBC samples was a methodological limitation. We acknowledge that a universally accepted definition of poor ovarian response is lacking. Furthermore, women with PCOS were included and therefore the group of good responders in the current study may not represent a population with entirely normal methylation profiles. WIDER IMPLICATIONS OF THE FINDINGS The process of ovarian and CC aging continues to be poorly understood. Women who demonstrate poor ovarian response to stimulation represent a common clinical challenge, so clarifying the exact biological changes that occur within the ovary over time is a worthwhile endeavor. The data from CC support a view that hormonally responsive tissues may possess distinct epigenetic aging patterns when compared with other tissue types. Future studies may be able to determine whether alternative DNA methylation sites can accurately predict chronologic age or ovarian response to stimulation from CC samples. Going forward, associations between epigenetic age acceleration and reproductive and general health consequences must also be clearly defined. STUDY FUNDING/COMPETING INTEREST(S) No external funding was obtained for the study and there are no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Brent M Hanson
- IVI-Reproductive Medicine Associates of New Jersey, Basking Ridge, NJ, USA
- Department of Obstetrics & Gynecology, Division of Reproductive Endocrinology and Infertility Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Xin Tao
- Foundation for Embryonic Competence, Basking Ridge, NJ, USA
| | - Yiping Zhan
- Foundation for Embryonic Competence, Basking Ridge, NJ, USA
| | - Timothy G Jenkins
- Department of Surgery, Division of Urology University of Utah School of Medicine, Salt Lake City, UT, USA
- Department of Physiology & Developmental Biology, Brigham Young University, Provo, UT, USA
| | - Scott J Morin
- IVI-Reproductive Medicine Associations of Northern California, San Francisco, CA, USA
| | - Richard T Scott
- IVI-Reproductive Medicine Associates of New Jersey, Basking Ridge, NJ, USA
- Department of Obstetrics & Gynecology, Division of Reproductive Endocrinology and Infertility Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA
| | - Emre U Seli
- IVI-Reproductive Medicine Associates of New Jersey, Basking Ridge, NJ, USA
- Department of Obstetrics & Gynecology, Division of Reproductive Endocrinology & Infertility Yale University School of Medicine, New Haven, CT, USA
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Wolf EJ, Chen CD, Zhao X, Zhou Z, Morrison FG, Daskalakis NP, Stone A, Schichman S, Grenier JG, Fein-Schaffer D, Huber BR, Abraham CR, Miller MW, Logue MW. Klotho, PTSD, and advanced epigenetic age in cortical tissue. Neuropsychopharmacology 2021; 46:721-730. [PMID: 33096543 PMCID: PMC8027437 DOI: 10.1038/s41386-020-00884-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/12/2020] [Accepted: 09/29/2020] [Indexed: 01/04/2023]
Abstract
This study examined the klotho (KL) longevity gene polymorphism rs9315202 and psychopathology, including posttraumatic stress disorder (PTSD), depression, and alcohol-use disorders, in association with advanced epigenetic age in three postmortem cortical tissue regions: dorsolateral and ventromedial prefrontal cortices and motor cortex. Using data from the VA National PTSD Brain Bank (n = 117), we found that rs9315202 interacted with PTSD to predict advanced epigenetic age in motor cortex among the subset of relatively older (>=45 years), white non-Hispanic decedents (corrected p = 0.014, n = 42). An evaluation of 211 additional common KL variants revealed that only variants in linkage disequilibrium with rs9315202 showed similarly high levels of significance. Alcohol abuse was nominally associated with advanced epigenetic age in motor cortex (p = 0.039, n = 114). The rs9315202 SNP interacted with PTSD to predict decreased KL expression via DNAm age residuals in motor cortex among older white non-Hispanics decedents (indirect β = -0.198, p = 0.027). Finally, in dual-luciferase enhancer reporter system experiments, we found that inserting the minor allele of rs9315202 in a human kidney cell line HK-2 genomic DNA resulted in a change in KL transcriptional activities, likely operating via long noncoding RNA in this region. This was the first study to examine multiple forms of psychopathology in association with advanced DNA methylation age across several brain regions, to extend work concerning the association between rs9315202 and advanced epigenetic to brain tissue, and to identify the effects of rs9315202 on KL gene expression. KL augmentation holds promise as a therapeutic intervention to slow the pace of cellular aging, disease onset, and neuropathology, particularly in older, stressed populations.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA.
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA.
| | - Ci-Di Chen
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Zhenwei Zhou
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Filomene G Morrison
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | | | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven Schichman
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Jaclyn Garza Grenier
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA, USA
| | - Dana Fein-Schaffer
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
| | - Bertrand R Huber
- Pathology and Laboratory Medicine, VA Boston Healthcare System, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Carmela R Abraham
- Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA
- Department of Pharmacology and Experimental Therapeutics, Boston University School of Medicine, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
| | - Mark W Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
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47
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Chiavellini P, Canatelli-Mallat M, Lehmann M, Gallardo MD, Herenu CB, Cordeiro JL, Clement J, Goya RG. Aging and rejuvenation - a modular epigenome model. Aging (Albany NY) 2021; 13:4734-4746. [PMID: 33627519 PMCID: PMC7950254 DOI: 10.18632/aging.202712] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/08/2021] [Indexed: 12/21/2022]
Abstract
The view of aging has evolved in parallel with the advances in biomedical sciences. Long considered as an irreversible process where interventions were only aimed at slowing down its progression, breakthrough discoveries like animal cloning and cell reprogramming have deeply changed our understanding of postnatal development, giving rise to the emerging view that the epigenome is the driver of aging. The idea was significantly strengthened by the converging discovery that DNA methylation (DNAm) at specific CpG sites could be used as a highly accurate biomarker of age defined by an algorithm known as the Horvath clock. It was at this point where epigenetic rejuvenation came into play as a strategy to reveal to what extent biological age can be set back by making the clock tick backwards. Initial evidence suggests that when the clock is forced to tick backwards in vivo, it is only able to drag the phenotype to a partially rejuvenated condition. In order to explain the results, a bimodular epigenome is proposed, where module A represents the DNAm clock component and module B the remainder of the epigenome. Epigenetic rejuvenation seems to hold the key to arresting or even reversing organismal aging.
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Affiliation(s)
- Priscila Chiavellini
- Institute for Biochemical Research (INIBIOLP) - Histology B and Pathology B, School of Medicine, National University of La Plata, La Plata, Argentina
| | - Martina Canatelli-Mallat
- Institute for Biochemical Research (INIBIOLP) - Histology B and Pathology B, School of Medicine, National University of La Plata, La Plata, Argentina
| | - Marianne Lehmann
- Institute for Biochemical Research (INIBIOLP) - Histology B and Pathology B, School of Medicine, National University of La Plata, La Plata, Argentina
| | - Maria D Gallardo
- Institute for Biochemical Research (INIBIOLP) - Histology B and Pathology B, School of Medicine, National University of La Plata, La Plata, Argentina
| | - Claudia B Herenu
- Institute for Experimental Pharmacology (IFEC), School of Chemical Sciences, National University of Cordoba, Cordoba, Argentina
| | - Jose L Cordeiro
- World Academy of Art and Science (WAAS), Napa, CA 94558, USA
| | | | - Rodolfo G Goya
- Institute for Biochemical Research (INIBIOLP) - Histology B and Pathology B, School of Medicine, National University of La Plata, La Plata, Argentina
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Okazaki S, Otsuka I, Shinko Y, Horai T, Hirata T, Yamaki N, Sora I, Hishimoto A. Epigenetic Clock Analysis in Children With Fetal Alcohol Spectrum Disorder. Alcohol Clin Exp Res 2021; 45:329-337. [PMID: 33296097 DOI: 10.1111/acer.14532] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 11/24/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Fetal alcohol spectrum disorder (FASD) is characterized by severe clinical impairment, considerable social burden, and high mortality and morbidity, which are due to various malformations, sepsis, and cancer. As >50% of deaths from FASD occur during the first year of life, we hypothesized that there is the acceleration of biological aging in FASD. Several recent studies have established genome-wide DNA methylation (DNAm) profiles as "epigenetic clocks" that can estimate biological aging, and FASD has been associated with differential DNAm patterns. Therefore, we tested this hypothesis using epigenetic clocks. METHODS We investigated 5 DNAm-based measures of epigenetic age (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge) and telomere length (DNAmTL) using 4 independent publicly available DNAm datasets; 2 datasets were derived from buccal epithelium, and the other 2 datasets were derived from peripheral blood. RESULTS Compared with controls, children with FASD exhibited an acceleration of GrimAge in 1 buccal and 2 blood datasets. No significant difference was found in other DNAm ages and DNAmTL. Meta-analyses showed a significant acceleration of GrimAge in the blood samples but not in the buccal samples. CONCLUSIONS This study provides novel evidence regarding accelerated epigenetic aging in children with FASD.
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Affiliation(s)
- Satoshi Okazaki
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ikuo Otsuka
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yutaka Shinko
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tadasu Horai
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takashi Hirata
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Naruhisa Yamaki
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ichiro Sora
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan
| | - Akitoyo Hishimoto
- From, Department of Psychiatry, (SO, IO, YS, THo, THi, NY, IS, AH), Kobe University Graduate School of Medicine, Kobe, Japan.,Department of Psychiatry, (AH), Yokohama City University Graduate School of Medicine, Yokohama, Japan
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49
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Garali I, Sahbatou M, Daunay A, Baudrin LG, Renault V, Bouyacoub Y, Deleuze JF, How-Kit A. Improvements and inter-laboratory implementation and optimization of blood-based single-locus age prediction models using DNA methylation of the ELOVL2 promoter. Sci Rep 2020; 10:15652. [PMID: 32973211 PMCID: PMC7515898 DOI: 10.1038/s41598-020-72567-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 09/02/2020] [Indexed: 01/21/2023] Open
Abstract
Several blood-based age prediction models have been developed using less than a dozen to more than a hundred DNA methylation biomarkers. Only one model (Z-P1) based on pyrosequencing has been developed using DNA methylation of a single locus located in the ELOVL2 promoter, which is considered as one of the best age-prediction biomarker. Although multi-locus models generally present better performances compared to the single-locus model, they require more DNA and present more inter-laboratory variations impacting the predictions. Here we developed 17,018 single-locus age prediction models based on DNA methylation of the ELOVL2 promoter from pooled data of four different studies (training set of 1,028 individuals aged from 0 and 91 years) using six different statistical approaches and testing every combination of the 7 CpGs, aiming to improve the prediction performances and reduce the effects of inter-laboratory variations. Compared to Z-P1 model, three statistical models with the optimal combinations of CpGs presented improved performances (MAD of 4.41–4.77 in the testing set of 385 individuals) and no age-dependent bias. In an independent testing set of 100 individuals (19–65 years), we showed that the prediction accuracy could be further improved by using different CpG combinations and increasing the number of technical replicates (MAD of 4.17).
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Affiliation(s)
- Imene Garali
- Laboratory for Bioinformatics, Foundation Jean Dausset-CEPH, Paris, France.,Laboratory of Excellence GenMed, Paris, France
| | - Mourad Sahbatou
- Laboratory for Human Genetics, Foundation Jean Dausset-CEPH, Paris, France
| | - Antoine Daunay
- Laboratory for Genomics, Foundation Jean Dausset-CEPH, 75010, Paris, France
| | - Laura G Baudrin
- Laboratory of Excellence GenMed, Paris, France.,Laboratory for Genomics, Foundation Jean Dausset-CEPH, 75010, Paris, France
| | - Victor Renault
- Laboratory for Bioinformatics, Foundation Jean Dausset-CEPH, Paris, France
| | - Yosra Bouyacoub
- Laboratory of Excellence GenMed, Paris, France.,Laboratory for Genomics, Foundation Jean Dausset-CEPH, 75010, Paris, France
| | - Jean-François Deleuze
- Laboratory for Bioinformatics, Foundation Jean Dausset-CEPH, Paris, France.,Laboratory of Excellence GenMed, Paris, France.,Laboratory for Human Genetics, Foundation Jean Dausset-CEPH, Paris, France.,Laboratory for Genomics, Foundation Jean Dausset-CEPH, 75010, Paris, France.,Centre National de Recherche en Génomique Humaine, CEA, Institut François Jacob, Evry, France
| | - Alexandre How-Kit
- Laboratory for Genomics, Foundation Jean Dausset-CEPH, 75010, Paris, France.
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50
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Barrere-Cain R, Allard P. An Understudied Dimension: Why Age Needs to Be Considered When Studying Epigenetic-Environment Interactions. Epigenet Insights 2020; 13:2516865720947014. [PMID: 32864568 PMCID: PMC7430070 DOI: 10.1177/2516865720947014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 07/06/2020] [Indexed: 02/02/2023] Open
Abstract
We live in a complex chemical environment where there are an estimated 350 000 chemical compounds or mixtures commercially produced. A strong body of literature shows that there are time points during early development when an organism’s epigenome is particularly sensitive to chemicals in its environment. What is less understood is how gene-environment and epigenetic-environment interactions change with age. This question is bidirectional: (1) how do chemicals in the environment affect the aging process and (2) how does aging affect an organism’s response to its chemical environment? The study of gene-environment interactions with age is especially important because, in many parts of the world, older individuals are a large and rapidly growing proportion of the population and because aging is a process universal to most of the animal kingdom. Epigenetics has emerged as a crucial framework for studying aging as epigenetic pathways, often triggered by environmental stimuli, have been shown to be essential regulators of the aging process. In this perspective article, we delineate the connection between aging, epigenetics, and environmental exposures. We discuss why it is essential to consider age when researching how an organism interacts with its environment. We describe recent advances in understanding how the chemical environment affects aging and the gap in research on how age affects an organism’s response to the environment. Finally, we highlight how model organisms and network approaches can help fill this crucial gap. Taken together, systemic changes that occur in the epigenome with age indicate that adult organisms cannot be treated as a homogeneous population and that there are discrete mechanisms modulating the aging epigenome that we do not yet understand.
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Affiliation(s)
- Rio Barrere-Cain
- Institute for Society & Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Patrick Allard
- Institute for Society & Genetics, University of California, Los Angeles, Los Angeles, CA, USA.,Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
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