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Short AK, Weber R, Kamei N, Wilcox Thai C, Arora H, Mortazavi A, Stern HS, Glynn L, Baram TZ. Individual longitudinal changes in DNA-methylome identify signatures of early-life adversity and correlate with later outcome. Neurobiol Stress 2024; 31:100652. [PMID: 38962694 PMCID: PMC11219970 DOI: 10.1016/j.ynstr.2024.100652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/02/2024] [Accepted: 05/27/2024] [Indexed: 07/05/2024] Open
Abstract
Adverse early-life experiences (ELA) affect a majority of the world's children. Whereas the enduring impact of ELA on cognitive and emotional health is established, there are no tools to predict vulnerability to ELA consequences in an individual child. Epigenetic markers including peripheral-cell DNA-methylation profiles may encode ELA and provide predictive outcome markers, yet the interindividual variance of the human genome and rapid changes in DNA methylation in childhood pose significant challenges. Hoping to mitigate these challenges we examined the relation of several ELA dimensions to DNA methylation changes and outcome using a within-subject longitudinal design and a high methylation-change threshold. DNA methylation was analyzed in buccal swab/saliva samples collected twice (neonatally and at 12 months) in 110 infants. We identified CpGs differentially methylated across time for each child and determined whether they associated with ELA indicators and executive function at age 5. We assessed sex differences and derived a sex-dependent 'impact score' based on sites that most contributed to methylation changes. Changes in methylation between two samples of an individual child reflected age-related trends and correlated with executive function years later. Among tested ELA dimensions and life factors including income to needs ratios, maternal sensitivity, body mass index and infant sex, unpredictability of parental and household signals was the strongest predictor of executive function. In girls, high early-life unpredictability interacted with methylation changes to presage executive function. Thus, longitudinal, within-subject changes in methylation profiles may provide a signature of ELA and a potential predictive marker of individual outcome.
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Affiliation(s)
- Annabel K. Short
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Ryan Weber
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Noriko Kamei
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
| | - Christina Wilcox Thai
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Hina Arora
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA, 92697, USA
| | - Hal S. Stern
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697, USA
| | - Laura Glynn
- Department of Psychology, Chapman University, Orange, CA, 92866, USA
| | - Tallie Z. Baram
- Department of Anatomy and Neurobiology, ersity of California- Irvine, Irvine, CA, 92697, USA
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697, USA
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Baghaei A, Zoshk MY, Hosseini M, Fasihi H, Nassireslami E, Shayesteh S, Laripour R, Amoli AE, Heidari R, Chamanara M. Prominent genetic variants and epigenetic changes in post-traumatic stress disorder among combat veterans. Mol Biol Rep 2024; 51:325. [PMID: 38393604 DOI: 10.1007/s11033-024-09276-0] [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: 10/22/2023] [Accepted: 01/19/2024] [Indexed: 02/25/2024]
Abstract
Post-traumatic stress disorder (PTSD) is one of the most widespread and disabling psychiatric disorders among combat veterans. Substantial interindividual variability in susceptibility to PTSD suggests the presence of different risk factors for this disorder. Twin and family studies confirm genetic factors as important risk factors for PTSD. In addition to genetic factors, epigenetic factors, especially DNA methylation, can be considered as a potential mechanism in changing the risk of PTSD. So far, many genetic and epigenetic association studies have been conducted in relation to PTSD. In genetic studies, many single nucleotide polymorphisms have been identified as PTSD risk factors. Meanwhile, the variations in catecholamines-related genes, serotonin transporter and receptors, brain-derived neurotrophic factor, inflammatory factors, and apolipoprotein E are the most prominent candidates. CpG methylation in the upstream regions of many genes is also considered a PTSD risk factor. Accurate identification of genetic and epigenetic changes associated with PTSD can lead to the presentation of suitable biomarkers for susceptible individuals to this disorder. This study aimed to delineate prominent genetic variations and epigenetic changes associated with post-traumatic stress disorder in military veterans who have experienced combat, focusing on genetic and epigenetic association studies.
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Affiliation(s)
- Ahmadali Baghaei
- Trauma Research center, AJA university of Medical sciences, Tehran, Iran
| | | | - Mohsen Hosseini
- The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Fasihi
- Biomaterial and Medicinal Chemistry Research Center, AJA University of Medical Science, Tehran, Iran
| | - Ehsan Nassireslami
- Toxicology Research Center, AJA University of Medical Sciences, Tehran, Iran
- Department of Pharmacology and Toxicology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Sevda Shayesteh
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Alborz University of Medical Sciences, Karaj, Iran
| | - Reza Laripour
- Social and Preventive Medicine Department, School of Medicine, AJA University of Medical Sciences, Tehran, Iran
| | - Aynaz Eslami Amoli
- Trauma Research center, AJA university of Medical sciences, Tehran, Iran
| | - Reza Heidari
- Cancer Epidemiology Research Center (AJA-CERTC), AJA University of Medical Sciences, Tehran, Iran.
- Medical Biotechnology Research Center, AJA University of Medical Sciences, Tehran, Iran.
| | - Mohsen Chamanara
- Toxicology Research Center, AJA University of Medical Sciences, Tehran, Iran.
- Student research committee, AJA University of Medical Sciences, Tehran, Iran.
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Short AK, Weber R, Kamei N, Thai CW, Arora H, Mortazavi A, Stern HS, Glynn L, Baram TZ. Within-subject changes in methylome profile identify individual signatures of early-life adversity, with a potential to predict neuropsychiatric outcome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.16.571594. [PMID: 38187766 PMCID: PMC10769190 DOI: 10.1101/2023.12.16.571594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Background Adverse early-life experiences (ELA), including poverty, trauma and neglect, affect a majority of the world's children. Whereas the impact of ELA on cognitive and emotional health throughout the lifespan is well-established, it is not clear how distinct types of ELA influence child development, and there are no tools to predict for an individual child their vulnerability or resilience to the consequences of ELAs. Epigenetic markers including DNA-methylation profiles of peripheral cells may encode ELA and provide a predictive outcome marker. However, the rapid dynamic changes in DNA methylation in childhood and the inter-individual variance of the human genome pose barriers to identifying profiles predicting outcomes of ELA exposure. Here, we examined the relation of several dimensions of ELA to changes of DNA methylation, using a longitudinal within-subject design and a high threshold for methylation changes in the hope of mitigating the above challenges. Methods We analyzed DNA methylation in buccal swab samples collected twice for each of 110 infants: neonatally and at 12 months. We identified CpGs differentially methylated across time, calculated methylation changes for each child, and determined whether several indicators of ELA associated with changes of DNA methylation for individual infants. We then correlated select dimensions of ELA with methylation changes as well as with measures of executive function at age 5 years. We examined for sex differences, and derived a sex-dependent 'impact score' based on sites that most contributed to the methylation changes. Findings Setting a high threshold for methylation changes, we discovered that changes in methylation between two samples of an individual child reflected age-related trends towards augmented methylation, and also correlated with executive function years later. Among the tested factors and ELA dimensions, including income to needs ratios, maternal sensitivity, body mass index and sex, unpredictability of parental and household signals was the strongest predictor of executive function. In girls, an interaction was observed between a measure of high early-life unpredictability and methylation changes, in presaging executive function. Interpretation These findings establish longitudinal, within-subject changes in methylation profiles as a signature of some types of ELA in an individual child. Notably, such changes are detectable beyond the age-associated DNA methylation dynamics. Future studies are required to determine if the methylation profile changes identified here provide a predictive marker of vulnerabilities to poorer cognitive and emotional outcomes.
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Affiliation(s)
- Annabel K. Short
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697
- Brain Tumour Research Program, Telethon Kids Institute, Nedlands, WA, Australia, 6009 (current)
- Division of Paediatrics/Centre for Child Health Research, Medical School, University of Western Australia, Crawley, WA, Australia, 6009 (current)
| | - Ryan Weber
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Noriko Kamei
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
| | - Christina Wilcox Thai
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Hina Arora
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California-Irvine, Irvine, CA 92697
| | - Hal S. Stern
- Department of Statistics, University of California-Irvine, Irvine, CA, 92697
| | - Laura Glynn
- Department of Psychology, Chapman University, Orange, CA, 92866
| | - Tallie Z. Baram
- Department of Anatomy and Neurobiology, University of California- Irvine, Irvine, CA 92697
- Departments of Pediatrics and Neurology, University of California-Irvine, Irvine, CA, 92697
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Higgins-Chen AT, Thrush KL, Wang Y, Minteer CJ, Kuo PL, Wang M, Niimi P, Sturm G, Lin J, Moore AZ, Bandinelli S, Vinkers CH, Vermetten E, Rutten BPF, Geuze E, Okhuijsen-Pfeifer C, van der Horst MZ, Schreiter S, Gutwinski S, Luykx JJ, Picard M, Ferrucci L, Crimmins EM, Boks MP, Hägg S, Hu-Seliger TT, Levine ME. A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking. NATURE AGING 2022; 2:644-661. [PMID: 36277076 PMCID: PMC9586209 DOI: 10.1038/s43587-022-00248-2] [Citation(s) in RCA: 106] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 06/08/2022] [Indexed: 01/09/2023]
Abstract
Epigenetic clocks are widely used aging biomarkers calculated from DNA methylation data, but this data can be surprisingly unreliable. Here we show technical noise produces deviations up to 9 years between replicates for six prominent epigenetic clocks, limiting their utility. We present a computational solution to bolster reliability, calculating principal components from CpG-level data as input for biological age prediction. Our retrained principal-component versions of six clocks show agreement between most replicates within 1.5 years, improved detection of clock associations and intervention effects, and reliable longitudinal trajectories in vivo and in vitro. This method entails only one additional step compared to traditional clocks, requires no replicates or prior knowledge of CpG reliabilities for training, and can be applied to any existing or future epigenetic biomarker. The high reliability of principal component-based clocks is critical for applications to personalized medicine, longitudinal tracking, in vitro studies, and clinical trials of aging interventions.
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Affiliation(s)
- Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kyra L Thrush
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Yunzhang Wang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Pei-Lun Kuo
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Meng Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Peter Niimi
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Gabriel Sturm
- Departments of Psychiatry and Neurology, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States
- New York State Psychiatric Institute, New York, NY United States
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, United States
| | - Ann Zenobia Moore
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | | | - Christiaan H Vinkers
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Eric Vermetten
- Department Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Bart P F Rutten
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Elbert Geuze
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
- Brain Research & Innovation Centre, Ministry of Defence, Utrecht, the Netherlands
| | - Cynthia Okhuijsen-Pfeifer
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Marte Z van der Horst
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
- Second Opinion Outpatient Clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - Stefanie Schreiter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Stefan Gutwinski
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
- Second Opinion Outpatient Clinic, GGNet Mental Health, Warnsveld, The Netherlands
| | - Martin Picard
- Departments of Psychiatry and Neurology, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, United States
- New York State Psychiatric Institute, New York, NY United States
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Eileen M Crimmins
- Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Marco P Boks
- Department of Psychiatry, Brain Center University Medical Center Utrecht, Utrecht University, The Netherlands
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Morgan E Levine
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
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