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da Conceição AR, Bressan J, Cuervo M, Mansego ML, Martínez JA, Riezu-Boj JI, Milagro FI. Relationship between blood DNA methylation, diet quality indices and metabolic health: Data from Obekit study. J Nutr Biochem 2025; 136:109805. [PMID: 39571826 DOI: 10.1016/j.jnutbio.2024.109805] [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: 02/14/2024] [Revised: 09/17/2024] [Accepted: 11/07/2024] [Indexed: 11/26/2024]
Abstract
Epigenetic mechanisms, which can be modulated by dietary factors, have been proposed as a possible factor in understanding interindividual differences in disease susceptibility. We aimed to determine the relationships between DNA methylation (DNAm), diet quality, and metabolic health in Spanish individuals. This is a transversal study encompassing 337 male and female participants in the Obekit study. Diet quality was assessed using a validated semiquantitative food frequency questionnaire and seven previously established scores: overall, healthy and unhealthy Plant-Based Diet Index (PDI, hPDI and uPDI, respectively), dietary diversity score (DDS), unprocessed/minimally processed foods (MPF) and ultra-processed foods (UPF) consumption and Mediterranean diet (MD) score. DNAm was analyzed in white blood cells using the Infinium MethylationEPIC v1.0 BeadChip kit. After filtering by a variance >0.36, we have worked with 5,261 CpG sites. We found four false discovery rate (FDR)-significant correlations between nutrients and CpGs sites: cg00167275 (GLUD1) correlated with alcohol, cg05218090 with folic acid, cg16682935 (PAPSS2) with selenium, and cg09821790 (SLC7A6) with fish food. One differentially methylated region (DMR) located at zinc finger protein gene 57 (ZFP57) was closely related to obesity and specific nutrients, food groups, and diet quality indices. The regression models of diet quality based on DNAm demonstrated that the most predictive values were when UPF and hPDI were considered. Also, UPF and hPDI were the best indices for predicting the main cardiometabolic risk factors. Our finding suggests that specific nutrients and diet quality indices may influence the degree of DNAm and putatively, the metabolic health in Spanish individuals.
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Affiliation(s)
| | - Josefina Bressan
- Department of Nutrition and Health, Federal University of Viçosa, Viçosa, Brazil
| | - Marta Cuervo
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Maria Luisa Mansego
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - J Alfredo Martínez
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Carlos III Health Institute, Madrid, Spain
| | - José Ignacio Riezu-Boj
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Fermín I Milagro
- Center for Nutrition Research, Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdiSNA), Pamplona, Spain; Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Carlos III Health Institute, Madrid, Spain.
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Domínguez-Barragán J, Fernández-Sanlés A, Hernáez Á, Llauradó-Pont J, Marrugat J, Robinson O, Tzoulaki I, Elosua R, Lassale C. Blood DNA methylation signature of diet quality and association with cardiometabolic traits. Eur J Prev Cardiol 2024; 31:191-202. [PMID: 37793095 PMCID: PMC10809172 DOI: 10.1093/eurjpc/zwad317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/06/2023]
Abstract
AIMS Diet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine-phosphate-guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). METHODS AND RESULTS Meta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10-7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk. CONCLUSION Diet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.
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Affiliation(s)
- Jorge Domínguez-Barragán
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
| | - Alba Fernández-Sanlés
- MRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Álvaro Hernáez
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo 0463, Norway
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
| | - Joana Llauradó-Pont
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
| | - Jaume Marrugat
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Oliver Robinson
- μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Ioanna Tzoulaki
- Centre for Systems Biology, Biomedical Research Foundation of the Academy of Athens, 115 27 Athens, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Roberto Elosua
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Faculty of Medicine, University of Vic—Central University of Catalunya, Ctra. de Roda, 70, 08500 Vic, Spain
| | - Camille Lassale
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr Aiguader 88, 08003, Barcelona, Spain
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Fujii R, Ando Y, Yamada H, Tsuboi Y, Munetsuna E, Yamazaki M, Mizuno G, Maeda K, Ohashi K, Ishikawa H, Watanabe M, Imaeda N, Goto C, Wakai K, Hashimoto S, Suzuki K. Integration of methylation quantitative trait loci (mQTL) on dietary intake on DNA methylation levels: an example of n-3 PUFA and ABCA1 gene. Eur J Clin Nutr 2023; 77:881-887. [PMID: 37542202 DOI: 10.1038/s41430-023-01315-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 07/18/2023] [Accepted: 07/18/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND Epigenetic studies have reported relationships between dietary nutrient intake and methylation levels. However, genetic variants that may affect DNA methylation (DNAm) pattern, called methylation quantitative loci (mQTL), are usually overlooked in these analyses. We investigated whether mQTL change the relationship between dietary nutrient intake and leukocyte DNAm levels with an example of estimated fatty acid intake and ATP-binding cassette transporter A1 (ABCA1). METHODS A cross-sectional study on 231 participants (108 men, mean age: 62.7 y) without clinical history of cancer and no prescriptions for dyslipidemia. We measured leukocyte DNAm levels of 8 CpG sites within ABCA1 gene by pyrosequencing method and used mean methylation levels for statistical analysis. TaqMan assay was used for genotyping a genetic variant of ABCA1 (rs1800976). Dietary fatty acid intake was estimated with a validated food frequency questionnaire and adjusted for total energy intake by using residual methods. RESULTS Mean ABCA1 DNAm levels were 5% lower with the number of minor alleles in rs1800976 (CC, 40.6%; CG, 35.9%; GG, 30.6%). Higher dietary n-3 PUFA intake was associated with lower ABCA1 DNAm levels (1st (ref) vs. 4th, β [95% CI]: -2.52 [-4.77, -0.28]). After controlling for rs180076, the association between dietary n-3 PUFA intake and ABCA1 DNAm levels was attenuated, but still showed an independent association (1st (ref) vs. 4th, β [95% CI]: -2.00 [-3.84, -0.18]). The interaction of mQTL and dietary n-3 PUFA intake on DNAm levels was not significant. CONCLUSIONS This result suggested that dietary n-3 PUFA intake would be an independent predictor of DNAm levels in ABCA1 gene after adjusting for individual genetic background. Considering mQTL need to broaden into other genes and nutrients for deeper understanding of DNA methylation, which can contribute to personalized nutritional intervention.
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Affiliation(s)
- Ryosuke Fujii
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
- Institute for Biomedicine (affiliated to the University of Lübeck), Eurac Research, Via Alessandro Volta 21, Bolzano/Bozen, Italy
| | - Yoshitaka Ando
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Hiroya Yamada
- Department of Hygiene, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Yoshiki Tsuboi
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Eiji Munetsuna
- Department of Biochemistry, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Mirai Yamazaki
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, 281-1 Hara, Mure-cho, Takamatsu, Japan
| | - Genki Mizuno
- Department of Medical Technology, Tokyo University of Technology School of Health Sciences, 5-23-22 Nishi-Kamata, Ota-ku, Japan
| | - Keisuke Maeda
- Department of Clinical Physiology, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Koji Ohashi
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Hiroaki Ishikawa
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Mami Watanabe
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Nahomi Imaeda
- Department of Nutrition, Faculty of Wellness, Shigakkan University, 55 Nakoyama, Yokonemachi, Obu, Japan
| | - Chiho Goto
- Department of Health and Nutrition, Nagoya Bunri University, 365 Maeda, Inazawa-city, Inazawa, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Japan
| | - Shuji Hashimoto
- Department of Hygiene, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan
| | - Koji Suzuki
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Japan.
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Fernández-Carrión R, Sorlí JV, Asensio EM, Pascual EC, Portolés O, Alvarez-Sala A, Francès F, Ramírez-Sabio JB, Pérez-Fidalgo A, Villamil LV, Tinahones FJ, Estruch R, Ordovas JM, Coltell O, Corella D. DNA-Methylation Signatures of Tobacco Smoking in a High Cardiovascular Risk Population: Modulation by the Mediterranean Diet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3635. [PMID: 36834337 PMCID: PMC9964856 DOI: 10.3390/ijerph20043635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Biomarkers based on DNA methylation are relevant in the field of environmental health for precision health. Although tobacco smoking is one of the factors with a strong and consistent impact on DNA methylation, there are very few studies analyzing its methylation signature in southern European populations and none examining its modulation by the Mediterranean diet at the epigenome-wide level. We examined blood methylation smoking signatures on the EPIC 850 K array in this population (n = 414 high cardiovascular risk subjects). Epigenome-wide methylation studies (EWASs) were performed analyzing differential methylation CpG sites by smoking status (never, former, and current smokers) and the modulation by adherence to a Mediterranean diet score was explored. Gene-set enrichment analysis was performed for biological and functional interpretation. The predictive value of the top differentially methylated CpGs was analyzed using receiver operative curves. We characterized the DNA methylation signature of smoking in this Mediterranean population by identifying 46 differentially methylated CpGs at the EWAS level in the whole population. The strongest association was observed at the cg21566642 (p = 2.2 × 10-32) in the 2q37.1 region. We also detected other CpGs that have been consistently reported in prior research and discovered some novel differentially methylated CpG sites in subgroup analyses. In addition, we found distinct methylation profiles based on the adherence to the Mediterranean diet. Particularly, we obtained a significant interaction between smoking and diet modulating the cg5575921 methylation in the AHRR gene. In conclusion, we have characterized biomarkers of the methylation signature of tobacco smoking in this population, and suggest that the Mediterranean diet can increase methylation of certain hypomethylated sites.
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Affiliation(s)
- Rebeca Fernández-Carrión
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Andrea Alvarez-Sala
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Francesc Francès
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Laura V. Villamil
- Department of Physiology, School of Medicine, University Antonio Nariño, Bogotá 111511, Colombia
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29590 Málaga, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Jose M. Ordovas
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
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