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Amenyah SD, Hughes CF, Ward M, Rosborough S, Deane J, Thursby SJ, Walsh CP, Kok DE, Strain JJ, McNulty H, Lees-Murdock DJ. Influence of nutrients involved in one-carbon metabolism on DNA methylation in adults—a systematic review and meta-analysis. Nutr Rev 2020; 78:647-666. [DOI: 10.1093/nutrit/nuz094] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Abstract
Context
Aberrant DNA methylation is linked to various diseases. The supply of methyl groups for methylation reactions is mediated by S-adenosylmethionine, which depends on the availability of folate and related B vitamins.
Objectives
To investigate the influence of key nutrients involved in 1-carbon metabolism on DNA methylation in adults.
Data sources
Systematic literature searches were conducted in the Cochrane Library, Medline, Embase, Cumulative Index to Nursing and Allied Health Literature Plus, Scopus, and Web of Science databases. Studies that met the inclusion criteria and were published in English were included.
Data extraction
The first author, study design, sample size, population characteristics, type and duration of intervention, tissue type or cells analyzed, molecular techniques, and DNA methylation outcomes.
Data synthesis
A meta-analysis of randomized, controlled trials (RCTs) was conducted to investigate the effect of 1-carbon metabolism nutrients on global DNA methylation. Functional analysis and visualization were performed using BioVenn software.
Results
From a total of 2620 papers screened by title, 53 studies met the inclusion criteria. Qualitative analysis indicated significant associations between 1-carbon metabolism nutrients and DNA methylation. In meta-analysis of RCTs stratified by method of laboratory analysis, supplementation with folic acid alone or in combination with vitamin B12 significantly increased global DNA methylation in studies using liquid chromatography–mass spectrometry, which had markedly lower heterogeneity (n = 3; Z = 3.31; P = 0.0009; I2 = 0%) in comparison to other methods. Functional analysis highlighted a subset of 12 differentially methylated regions that were significantly related to folate and vitamin B12 biomarkers.
Conclusion
This study supports significant associations between 1-carbon metabolism nutrients and DNA methylation. However, standardization of DNA methylation techniques is recommended to reduce heterogeneity and facilitate comparison across studies.
Systematic Review registration
PROSPERO registration number: CRD42018091898.
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Affiliation(s)
- Sophia D Amenyah
- Genomic Medicine Research Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Catherine F Hughes
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Mary Ward
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Samuel Rosborough
- Genomic Medicine Research Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Jennifer Deane
- Genomic Medicine Research Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Sara-Jayne Thursby
- Genomic Medicine Research Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Colum P Walsh
- Genomic Medicine Research Group, School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Dieuwertje E Kok
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - J J Strain
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Helene McNulty
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
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Dawes K, Andersen A, Vercande K, Papworth E, Philibert W, Beach SR, Gibbons FX, Gerrard M, Philibert R. Saliva DNA Methylation Detects Nascent Smoking in Adolescents. J Child Adolesc Psychopharmacol 2019; 29:535-544. [PMID: 31180231 PMCID: PMC6727474 DOI: 10.1089/cap.2018.0176] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Objectives: Early identification of smoking, essential for the successful implementation of interventions, arrests the escalation of smoking and smoking-associated risk behaviors in adolescents. However, because nascent smoking is typically episodic and infrequent, enzyme-linked immunoassay reagent-based approaches that detect cotinine, a key nicotine metabolite, are not effective in identifying adolescents in the earliest stages of smoking. Epigenetic methods may offer an alternative approach for detecting early-stage smokers. In prior work, we and others have shown that the methylation status of cg05575921 of whole-blood DNA accurately predicts smoking status in regularly smoking adults and is sensitive to nascent smoking. Yet, the blood draws necessary to obtain DNA for this method may be poorly accepted by adolescents. Saliva could be an alternative source of DNA. However, the ability of saliva DNA methylation status to predict smoking status among adolescents is unknown. Methods: To explore the possibility of using salivary DNA for screening purposes, we examined the DNA methylation status at cg05575921 in saliva DNA samples from 162 high school aged subjects for whom we also had paired serum cotinine values. Results: Overall, the reliability of self-report of nicotine/tobacco use in these adolescents was poor with 67% of all subjects whose serum levels of cotinine was ≥2 ng/mL (n = 75) denying any use of nicotine-containing products in the past 6 months. However, the correspondence of the two biological measures of smoking was high, with serum cotinine positivity being strongly correlated with cg05575921 methylation (p < 0.0001). Receiver operating characteristic (ROC) analyses showed that cg05575921 methylation status could be used to classify those with positive serum cotinine values (≥2 ng/mL) from those denying smoking and have undetectable levels of cotinine. Conclusions: We conclude that saliva DNA methylation assessments hold promise as a means of detecting nascent smoking.
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Affiliation(s)
- Kelsey Dawes
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Allan Andersen
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Kyra Vercande
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Emma Papworth
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | | | - Steven R.H. Beach
- Center for Family Research, University of Georgia, Athens, Georgia
- Department of Psychology, University of Georgia, Athens, Georgia
| | | | - Meg Gerrard
- Department of Psychology, University of Connecticut, Storrs, Connecticut
| | - Robert Philibert
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
- Behavioral Diagnostics, Coralville, Iowa
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Philibert R, Glatt SJ. Optimizing the chances of success in the search for epigenetic biomarkers: Embracing genetic variation. Am J Med Genet B Neuropsychiatr Genet 2017; 174:589-594. [PMID: 28696057 PMCID: PMC5562041 DOI: 10.1002/ajmg.b.32569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 06/16/2017] [Indexed: 01/21/2023]
Abstract
The emphasis on clinical translation in biomedical research continues to grow. This focus has been particularly notable in those investigators using epigenetic approaches to decipher the biology of complex behavioral disorders. As a result of these efforts, reproducible findings for several disorders, such as smoking, have been generated, giving rise to hopes that biomarkers for other behavioral illnesses would be forthcoming. Unfortunately, that biomedical cornucopia has not yet materialized. In this editorial, we review progress to date and discuss barriers to generating epigenetic biomarkers for complex behavioral disorders. We highlight the need to incorporate information on genetic variation and develop more powerful bioinformatics tools in order to optimize the likelihood of success. We emphasize that searches should focus on clearly defined, readily distinguishable behavioral constructs and suggest that some well-intentioned methods, such as correction for cellular heterogeneity, may actually impede the identification of clinically relevant biomarkers in peripheral blood. Finally, we describe how the understanding created by the development of these biomarkers may lead to more valid animal models of neuropsychiatric illness. We conclude that the prospects for epigenetic biomarkers for complex disorders are bright, but emphasize that the journey to the clinical implementation of these findings will be a slow, iterative process.
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Affiliation(s)
- Robert Philibert
- Behavioral Diagnostics, Coralville, Iowa
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Stephen J Glatt
- Psychiatric Genetic Epidemiology and Neurobiology Laboratory (PsychGENe Lab), Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
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Bell CG. The Epigenomic Analysis of Human Obesity. Obesity (Silver Spring) 2017; 25:1471-1481. [PMID: 28845613 DOI: 10.1002/oby.21909] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 05/09/2017] [Accepted: 05/11/2017] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Analysis of the epigenome-the chemical modifications and packaging of the genome that can influence or indicate its activity-enables molecular insight into cell type-specific machinery. It can, therefore, reveal the pathophysiological mechanisms at work in disease. Detected changes can also represent physiological responses to adverse environmental exposures, thus enabling the epigenetic mark of DNA methylation to act as an epidemiological biomarker, even in surrogate tissue. This makes epigenomic analysis an attractive prospect to further understand the pathobiology and epidemiological aspects of obesity. Furthermore, integrating epigenomic data with known obesity-associated common genetic variation can aid in deciphering their molecular mechanisms. METHODS AND CONCLUSIONS This review primarily examines epidemiological or population-based studies of epigenetic modifications in relation to adiposity traits, as opposed to animal or cell models. It discusses recent work exploring the epigenome with respect to human obesity, which to date has predominately consisted of array-based studies of DNA methylation in peripheral blood. It is of note that highly replicated BMI DNA methylation associations are not causal, but strongly driven by coassociations for more precisely measured intertwined outcomes and factors, such as hyperlipidemia, hyperglycemia, and inflammation. Finally, the potential for the future exploration of the epigenome in obesity and related disorders is considered.
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Affiliation(s)
- Christopher G Bell
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK
- Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
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