1
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Hu Y, Haessler J, Lundin JI, Darst BF, Whitsel EA, Grove M, Guan W, Xia R, Szeto M, Raffield LM, Ratliff S, Wang Y, Wang X, Fohner AE, Lynch MT, Patel YM, Lani Park S, Xu H, Mitchell BD, Bis JC, Sotoodehnia N, Brody JA, Psaty BM, Peloso GM, Tsai MY, Rich SS, Rotter JI, Smith JA, Kardia SLR, Reiner AP, Lange L, Fornage M, Pankow JS, Graff M, North KE, Kooperberg C, Peters U. Methylome-wide association analyses of lipids and modifying effects of behavioral factors in diverse race and ethnicity participants. Clin Epigenetics 2025; 17:54. [PMID: 40176173 PMCID: PMC11967142 DOI: 10.1186/s13148-025-01859-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 03/11/2025] [Indexed: 04/04/2025] Open
Abstract
Circulating lipid concentrations are clinically associated with cardiometabolic diseases. The phenotypic variance explained by identified genetic variants remains limited, highlighting the importance of searching for additional factors beyond genetic sequence variants. DNA methylation has been linked to lipid concentrations in previous studies, although most of the studies harbored moderate sample sizes and exhibited underrepresentation of non-European ancestry populations. In addition, knowledge of nongenetic factors on lipid profiles is extremely limited. In the Population Architecture Using Genomics and Epidemiology (PAGE) Study, we performed methylome-wide association analysis on 9,561 participants from diverse race and ethnicity backgrounds for HDL-c, LDL-c, TC, and TG levels, and also tested interactions between smoking or alcohol intake and methylation in their association with lipid levels. We identified novel CpG sites at 16 loci (P < 1.18E-7) with successful replication on 3,215 participants. One additional novel locus was identified in the self-reported White participants (P = 4.66E-8). Although no additional CpG sites were identified in the genome-wide interaction analysis, 13 reported CpG sites showed significant heterogeneous association across smoking or alcohol intake strata. By mapping novel and reported CpG sites to genes, we identified enriched pathways directly linked to lipid metabolism as well as ones spanning various biological functions. These findings provide new insights into the regulation of lipid concentrations.
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Grants
- N01HC95160 NHLBI NIH HHS
- 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, 75N92021D00005, and S10OD028685 NIH HHS
- 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168, N01-HC-95169, UL1-TR-000040, UL1-TR-001079, UL1-TR-001420, UL1TR001881, DK063491, HL148610, and R01HL105756 NHLBI NIH HHS
- R01 HL087652 NHLBI NIH HHS
- UL1 TR000040 NCATS NIH HHS
- HHSN268201800010I NHLBI NIH HHS
- N01HC85081 NHLBI NIH HHS
- R01 HL103612 NHLBI NIH HHS
- 75N92020D00002 NHLBI NIH HHS
- 75N92021D00002 NHLBI NIH HHS
- HHSN268201500003C NHLBI NIH HHS
- U01HG007397 NHGRI NIH HHS
- HHSN268201800012C NHLBI NIH HHS
- 75N92020D00005 NHLBI NIH HHS
- 75N92021D00005 WHI NIH HHS
- U01HL054457, RC1HL100185, R01HL087660, R01HL119443, R01HL133221 NHLBI NIH HHS
- 75N92022D00001 NIH HHS
- N01HC95163 NHLBI NIH HHS
- U01 HL080295 NHLBI NIH HHS
- UL1 TR001079 NCATS NIH HHS
- DK063491 National Institute of Diabetes and Digestive and Kidney Disease Diabetes Research Center
- HHSN268201800014I NHLBI NIH HHS
- U01CA164973 NCI NIH HHS
- U01 HL130114 NHLBI NIH HHS
- R01 HL087660 NHLBI NIH HHS
- HHSN268200800007C NHLBI NIH HHS
- S10 OD028685 NIH HHS
- 75N92020D00001 NHLBI NIH HHS
- N01HC95169 NHLBI NIH HHS
- N01HC95164 NHLBI NIH HHS
- UL1 TR000124 NCATS NIH HHS
- N01HC55222 NHLBI NIH HHS
- HHSN268201800014C NHLBI NIH HHS
- N01HC95162 NHLBI NIH HHS
- N01HC85086 NHLBI NIH HHS
- 75N92020D00003 NHLBI NIH HHS
- R01 HL119443 NHLBI NIH HHS
- R01 HL105756 NHLBI NIH HHS
- N01HC95168 NHLBI NIH HHS
- K08 HL116640 NHLBI NIH HHS
- 75N92021D00001 NHLBI NIH HHS
- P30 DK063491 NIDDK NIH HHS
- RC1 HL100185 NHLBI NIH HHS
- HHSN268201200036C NHLBI NIH HHS
- HHSN268201800001C NHLBI NIH HHS
- HHSN268201800013I NIMHD NIH HHS
- UL1TR000124 NCATS NIH HHS
- U01 HL054457 NHLBI NIH HHS
- N01HC95165 NHLBI NIH HHS
- N01HC95159 NHLBI NIH HHS
- HHSN268201800012I NHLBI NIH HHS
- 75N92021D00003 WHI NIH HHS
- N01HC95161 NHLBI NIH HHS
- UL1 TR001420 NCATS NIH HHS
- 75N92020D00004 NHLBI NIH HHS
- HHSN268201800011C NHLBI NIH HHS
- 75N92020D00007 NHLBI NIH HHS
- R01AG023629 NIA NIH HHS
- HHSN268201800013I, HHSN268201800014I, HHSN268201800015I, HHSN268201800010I, HHSN268201800011I, and HHSN268201800012I NIMHD NIH HHS
- HHSN268201500003I NHLBI NIH HHS
- R01HL105756, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, R01AG023629, 75N92021D00006, U01HL080295, U01HL130114, K08HL116640, R01HL087652, R01HL092111, R01HL103612, R01HL111089, R01HL116747 and R01HL120393 NHLBI NIH HHS
- R01 HL133221 NHLBI NIH HHS
- 75N92021D00006 NHLBI NIH HHS
- R01HG010297 NHGRI NIH HHS
- N01HC85082 NHLBI NIH HHS
- N01HC95167 NHLBI NIH HHS
- N01HC85083 NHLBI NIH HHS
- HHSN268201800015I NHLBI NIH HHS
- 75N92020D00006 NHLBI NIH HHS
- N01HC85079 NHLBI NIH HHS
- N01HC95166 NHLBI NIH HHS
- R01 AG023629 NIA NIH HHS
- UL1 TR001881 NCATS NIH HHS
- HHSN268201800011I NHLBI NIH HHS
- N01HC85080 NHLBI NIH HHS
- R01 HG010297 NHGRI NIH HHS
- U01 CA164973 NCI NIH HHS
- 75N92021D00004 WHI NIH HHS
- R01 HL111089 NHLBI NIH HHS
- R01 HL116747 NHLBI NIH HHS
- R01 HL092111 NHLBI NIH HHS
- National Institutes of Health
- National Human Genome Research Institute
- National Institute on Minority Health and Health Disparities
- National Heart, Lung, and Blood Institute
- National Institute on Aging
- National Center for Advancing Translational Sciences
- National Cancer Institute
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Affiliation(s)
- Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jessica I Lundin
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Burcu F Darst
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Megan Grove
- School of Public Health, Human Genetics Center, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Weihua Guan
- Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Rui Xia
- McGovern Medical School, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Mindy Szeto
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Scott Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yuxuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Xuzhi Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alison E Fohner
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Megan T Lynch
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yesha M Patel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - S Lani Park
- Population Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Leslie Lange
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Myriam Fornage
- School of Public Health, Human Genetics Center, University of Texas Health Sciences Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mariaelisa Graff
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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2
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Melaram R, Zhang H, Adefisoye J, Arshad H. The Association of Childhood Allergic Diseases with Prenatal Exposure to Pollen Grains Through At-Birth DNA Methylation. EPIGENOMES 2025; 9:9. [PMID: 40136322 PMCID: PMC11940834 DOI: 10.3390/epigenomes9010009] [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: 01/08/2025] [Revised: 03/01/2025] [Accepted: 03/07/2025] [Indexed: 03/27/2025] Open
Abstract
BACKGROUND Pollen exposure in early life is shown to be associated with allergy and asthma. DNA methylation (DNAm), an epigenetic marker, potentially reacts to pollen. However, the role of at-birth DNAm between prenatal pollen grain (PPG) exposure and childhood asthma and allergic rhinitis is unknown. METHODS Data in a birth cohort study on the Isle of Wight, UK, were analyzed (n = 236). Newborn DNAm was measured in cord blood or blood spots on Guthrie cards and screened for potential association with PPG exposure using the R package ttScreening. CpGs that passed screening were further assessed for such associations via linear regressions with adjusting covariates included. Finally, DNAm at PPG-associated CpGs were evaluated for their association with asthma and allergic rhinitis using logistic regressions, adjusting for covariates. The impact of cell heterogeneity on the findings was assessed. Statistical significance was set at p < 0.05. RESULTS In total, 42 CpGs passed screening, with 41 remaining statistically significant after adjusting for covariates and cell types (p < 0.05). High PPG exposure was associated with lower DNAm at cg12318501 (ZNF99, β = -0.029, p = 0.032) and cg00929606 (ADM2, β = -0.023, p = 0.008), which subsequently was associated with decreased odds of asthma (OR = 0.11, 95% CI 0.02-0.53, p = 0.006; OR = 0.14, 95% CI 0.02-1.00, p = 0.049). For rhinitis, cg15790214 (HCG11) was shown to play such a role as a mediator (β = -0.027, p ≤ 0.0001; OR = 0.22, 95% CI 0.07-0.72, p = 0.01). CONCLUSIONS The association of PPG exposure with childhood asthma and allergic rhinitis incidence is potentially mediated by DNAm at birth.
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Affiliation(s)
- Rajesh Melaram
- College of Nursing and Health Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA;
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA;
| | - James Adefisoye
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA;
| | - Hasan Arshad
- David Hide Asthma and Allergy Research Centre, St. Mary’s Hospital, Newport PO30 5TG, UK;
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3
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Bordoni L, Agostinho de Sousa J, Zhuo J, von Meyenn F. Evaluating the connection between diet quality, EpiNutrient intake and epigenetic age: an observational study. Am J Clin Nutr 2024; 120:1143-1155. [PMID: 39510725 DOI: 10.1016/j.ajcnut.2024.08.033] [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: 02/22/2024] [Revised: 08/25/2024] [Accepted: 08/30/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND DNA methylation (DNAm) has unique properties which makes it a potential biomarker for lifestyle-related exposures. Epigenetic clocks, particularly DNAm-based biological age predictors [epigenetic age (EA)], represent an exciting new area of clinical research and deviations of EA from chronological age [epigenetic age acceleration (EAA)] have been linked to overall health, age-related diseases, and environmental exposures. OBJECTIVES This observational study investigates the relationships between biological aging and various dietary factors within the LifeLines-DEEP Cohort. These factors include diet quality, processed food consumption, dietary glycemic load, and intake of vitamins involved in maintaining the epigenetic homeostasis (vitamins B-9, B-12, B-6, B-2, and C). METHODS Dietary records collected using food-frequency questionnaires were used to estimate diet quality [LifeLines Diet Score (LLDS)], measure the intake of unprocessed/ultraprocessed food according to the NOVA food classification system, and the adequacy of the dietary intake of vitamins B-9, B-12, B-2, B-6, and C. EA using Horvath, Hannum, Levine, and Horvath2 epigenetic clock models and DNAm-predicted telomere length (DNAm-TL) were calculated from DNAm data in 760 subjects. Associations between dietary factors and EAA were tested, adjusting for sex, energy intake, and body composition. RESULTS LLDS was associated with EAA (EAA_Horvath: β: -0.148; P = 1 × 10-4; EAA_Hannum: β: -0.148; P = 9 × 10-5; EAA_Levine: β: -0.174; P = 1 × 10-5; and EAA_Horvath2: β: -0.176; P = 4 × 10-6) and DNAm-TL (β: 0.116; P = 0.003). Particularly, EAA was associated with dietary glycemic load (EAA_Horvath: β: 0.476; P = 9 × 10-10; EAA_Hannum: β: 0.565; P = 1 × 10-13; EAA_Levine: β: 0.469; P = 5 × 10-9; EAA_Horvath2: β: 0.569; P = 1 × 10-13; and DNAmTL adjusted for age: β: -0.340; P = 2 × 10-5) and different measures of food processing (NOVA classes 1 and 4). Positive EAA was also associated with inadequate intake of vitamin B-12 (EAA_Horvath: β: -0.167; P = 0.002; EAA_Hannum: β: -0.144; P = 0.007; and EAA_Horvath2: β: -0.126; P = 0.019) and C (EAA_Hannum: β: -0.136; P = 0.010 and EAA_Horvath2: β: -0.151; P = 0.005). CONCLUSIONS Our findings corroborate the hypothesis that nutrition plays a pivotal role in influencing epigenetic homeostasis, especially DNAm, thereby contributing to individual health trajectories and the pace of aging.
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Affiliation(s)
- Laura Bordoni
- Unit of Molecular Biology and Nutrigenomics, School of Pharmacy, University of Camerino, Camerino, Italy.
| | - João Agostinho de Sousa
- Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Switzerland
| | - Jingran Zhuo
- Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Switzerland
| | - Ferdinand von Meyenn
- Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Switzerland.
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4
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Nicoletti CF, Assmann TS, Souza LL, Martinez JA. DNA Methylation and Non-Coding RNAs in Metabolic Disorders: Epigenetic Role of Nutrients, Dietary Patterns, and Weight Loss Interventions for Precision Nutrition. Lifestyle Genom 2024; 17:151-165. [PMID: 39481358 DOI: 10.1159/000541000] [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: 03/21/2024] [Accepted: 08/14/2024] [Indexed: 11/02/2024] Open
Abstract
BACKGROUND Dysregulation of epigenetic processes and abnormal epigenetic profiles are associated with various metabolic disorders. Nutrition, as an environmental factor, can induce epigenetic changes through both direct exposure and transgenerational inheritance, continuously altering gene expression and shaping the phenotype. Nutrients consumed through food or supplementation, such as vitamin B12, folate, vitamin B6, and choline, play a pivotal role in DNA methylation, a critical process for gene regulation. Additionally, there is mounting evidence that the expression of non-coding RNAs (ncRNAs) can be modulated by the intake of specific nutrients and natural compounds, thereby influencing processes involved in the onset and progression of metabolic diseases. SUMMARY Evidence suggests that dietary patterns, weight loss interventions, nutrients and nutritional bioactive compounds can modulate the expression of various microRNA (miRNAs) and DNA methylation levels, contributing to the development of metabolic disorders such as obesity and type 2 diabetes. Furthermore, several studies have proposed that DNA methylation and miRNA expression could serve as biomarkers for the effects of weight loss programs. KEY MESSAGE Despite ongoing debate regarding the effects of nutrient supplementation on DNA methylation levels and the expression of ncRNAs, certain DNA methylation marks and ncRNA expressions might predict the risk of metabolic disorders and act as biomarkers for forecasting the success of therapies within the framework of precision medicine and nutrition. The role of DNA methylation and miRNA expression as potential mediators of the effects of weight loss underscores their potential as biomarkers for the outcomes of weight loss programs. This highlights the influence of dietary patterns and weight loss interventions on the regulation of miRNA expression and DNA methylation levels, suggesting an interaction between these epigenetic factors and the body's response to weight loss.
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Affiliation(s)
- Carolina F Nicoletti
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Taís S Assmann
- Postgraduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Leticia L Souza
- Applied Physiology and Nutrition Research Group - Center of Lifestyle Medicine, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - José Alfredo Martinez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, Madrid, Spain
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5
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Thornburg KL, Valent AM. Maternal Malnutrition and Elevated Disease Risk in Offspring. Nutrients 2024; 16:2614. [PMID: 39203750 PMCID: PMC11357549 DOI: 10.3390/nu16162614] [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: 06/20/2024] [Revised: 07/31/2024] [Accepted: 08/03/2024] [Indexed: 09/03/2024] Open
Abstract
US populations have seen dramatic increases in the prevalence of chronic disease over the past three generations. Rapid increases in type 2 diabetes and obesity have occurred in all the states but have been particularly striking in the Deep South. These increases have contributed to decreases in life expectancy and to painful elevations in health care costs. The causes of worsening population health are complex and incompletely understood. However, there is strong evidence that vulnerability to chronic conditions is determined in early life. Most chronic diseases are developmentally driven. There are specific stressors experienced in early life that influence epigenetic and structural changes during development. These include malnutrition, severe levels of social stress, toxic chemicals, and low oxygen levels. Most US populations have experienced a decrease in the quality of the food they consume as industrial foods have replaced garden-grown foods. Thus, the consumption of too few nutrients before and during pregnancy and during lactation influences the growth of the placenta and fetal organs and their level of resilience when faced with stresses in postnatal life and particularly as adults. Animal studies have shown that the effects of poor nutrition can be passed on to future generations. The most powerful way that the current epidemics of obesity and insulin resistance can be reversed is by providing key nutrients to prospective mothers and those already pregnant.
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Affiliation(s)
- Kent L. Thornburg
- OHSU Bob and Charlee Moore Institute for Nutrition and Wellness, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA;
- Center for Developmental Health, Knight Cardiovascular Institute, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
- Department of Medicine, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
| | - Amy M. Valent
- OHSU Bob and Charlee Moore Institute for Nutrition and Wellness, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA;
- Department of Obstetrics & Gynecology, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA
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6
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Gálvez-Navas JM, Molina-Montes E, Rodríguez-Barranco M, Ramírez-Tortosa MC, Gil Á, Sánchez MJ. Molecular Mechanisms Linking Genes and Vitamins of the Complex B Related to One-Carbon Metabolism in Breast Cancer: An In Silico Functional Database Study. Int J Mol Sci 2024; 25:8175. [PMID: 39125744 PMCID: PMC11311893 DOI: 10.3390/ijms25158175] [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: 06/10/2024] [Revised: 07/15/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Carcinogenesis is closely related to the expression, maintenance, and stability of DNA. These processes are regulated by one-carbon metabolism (1CM), which involves several vitamins of the complex B (folate, B2, B6, and B12), whereas alcohol disrupts the cycle due to the inhibition of folate activity. The relationship between nutrients related to 1CM (all aforementioned vitamins and alcohol) in breast cancer has been reviewed. The interplay of genes related to 1CM was also analyzed. Single nucleotide polymorphisms located in those genes were selected by considering the minor allele frequency in the Caucasian population and the linkage disequilibrium. These genes were used to perform several in silico functional analyses (considering corrected p-values < 0.05 as statistically significant) using various tools (FUMA, ShinyGO, and REVIGO) and databases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG) and GeneOntology (GO). The results of this study showed that intake of 1CM-related B-complex vitamins is key to preventing breast cancer development and survival. Also, the genes involved in 1CM are overexpressed in mammary breast tissue and participate in a wide variety of biological phenomena related to cancer. Moreover, these genes are involved in alterations that give rise to several types of neoplasms, including breast cancer. Thus, this study supports the role of one-carbon metabolism B-complex vitamins and genes in breast cancer; the interaction between both should be addressed in future studies.
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Affiliation(s)
- José María Gálvez-Navas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (J.M.G.-N.); (M.-J.S.)
- Cancer Registry of Granada, Andalusian School of Public Health, Campus Universitario de Cartuja, Cuesta del Observatorio 4, 18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, Av. de Madrid, 18012 Granada, Spain;
- Ph.D. Program in Nutrition and Food Sciences, International Postgraduate School, University of Granada, Av. de Madrid 13, 18012 Granada, Spain
| | - Esther Molina-Montes
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (J.M.G.-N.); (M.-J.S.)
- Instituto de Investigación Biosanitaria ibs. GRANADA, Av. de Madrid, 18012 Granada, Spain;
- Department of Nutrition and Food Sciences, Faculty of Pharmacy, University of Granada, Campus Universitario de Cartuja, 18011 Granada, Spain
| | - Miguel Rodríguez-Barranco
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (J.M.G.-N.); (M.-J.S.)
- Cancer Registry of Granada, Andalusian School of Public Health, Campus Universitario de Cartuja, Cuesta del Observatorio 4, 18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, Av. de Madrid, 18012 Granada, Spain;
| | - MCarmen Ramírez-Tortosa
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Campus Universitario de Cartuja, 18011 Granada, Spain;
| | - Ángel Gil
- Instituto de Investigación Biosanitaria ibs. GRANADA, Av. de Madrid, 18012 Granada, Spain;
- Department of Biochemistry and Molecular Biology II, Faculty of Pharmacy, University of Granada, Campus Universitario de Cartuja, 18011 Granada, Spain;
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
| | - María-José Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain; (J.M.G.-N.); (M.-J.S.)
- Cancer Registry of Granada, Andalusian School of Public Health, Campus Universitario de Cartuja, Cuesta del Observatorio 4, 18011 Granada, Spain
- Instituto de Investigación Biosanitaria ibs. GRANADA, Av. de Madrid, 18012 Granada, Spain;
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7
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Costeira R, Evangelista L, Wilson R, Yan X, Hellbach F, Sinke L, Christiansen C, Villicaña S, Masachs OM, Tsai PC, Mangino M, Menni C, Berry SE, Beekman M, van Heemst D, Slagboom PE, Heijmans BT, Suhre K, Kastenmüller G, Gieger C, Peters A, Small KS, Linseisen J, Waldenberger M, Bell JT. Metabolomic biomarkers of habitual B vitamin intakes unveil novel differentially methylated positions in the human epigenome. Clin Epigenetics 2023; 15:166. [PMID: 37858220 PMCID: PMC10588110 DOI: 10.1186/s13148-023-01578-7] [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: 07/03/2023] [Accepted: 10/04/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND B vitamins such as folate (B9), B6, and B12 are key in one carbon metabolism, which generates methyl donors for DNA methylation. Several studies have linked differential methylation to self-reported intakes of folate and B12, but these estimates can be imprecise, while metabolomic biomarkers can offer an objective assessment of dietary intakes. We explored blood metabolomic biomarkers of folate and vitamins B6 and B12, to carry out epigenome-wide analyses across up to three European cohorts. Associations between self-reported habitual daily B vitamin intakes and 756 metabolites (Metabolon Inc.) were assessed in serum samples from 1064 UK participants from the TwinsUK cohort. The identified B vitamin metabolomic biomarkers were then used in epigenome-wide association tests with fasting blood DNA methylation levels at 430,768 sites from the Infinium HumanMethylation450 BeadChip in blood samples from 2182 European participants from the TwinsUK and KORA cohorts. Candidate signals were explored for metabolite associations with gene expression levels in a subset of the TwinsUK sample (n = 297). Metabolomic biomarker epigenetic associations were also compared with epigenetic associations of self-reported habitual B vitamin intakes in samples from 2294 European participants. RESULTS Eighteen metabolites were associated with B vitamin intakes after correction for multiple testing (Bonferroni-adj. p < 0.05), of which 7 metabolites were available in both cohorts and tested for epigenome-wide association. Three metabolites - pipecolate (metabolomic biomarker of B6 and folate intakes), pyridoxate (marker of B6 and folate) and docosahexaenoate (DHA, marker of B6) - were associated with 10, 3 and 1 differentially methylated positions (DMPs), respectively. The strongest association was observed between DHA and DMP cg03440556 in the SCD gene (effect = 0.093 ± 0.016, p = 4.07E-09). Pyridoxate, a catabolic product of vitamin B6, was inversely associated with CpG methylation near the SLC1A5 gene promoter region (cg02711608 and cg22304262) and with SLC7A11 (cg06690548), but not with corresponding changes in gene expression levels. The self-reported intake of folate and vitamin B6 had consistent but non-significant associations with the epigenetic signals. CONCLUSION Metabolomic biomarkers are a valuable approach to investigate the effects of dietary B vitamin intake on the human epigenome.
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Affiliation(s)
- Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
| | - Laila Evangelista
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Xinyu Yan
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Fabian Hellbach
- Epidemiology, Medical Faculty, University Augsburg, University Hospital Augsburg, 86156, Augsburg, Germany
| | - Lucy Sinke
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Colette Christiansen
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Sergio Villicaña
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Olatz M Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan City, Taiwan
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Cristina Menni
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Sarah E Berry
- Department of Nutritional Sciences, King's College London, London, SE1 9NH, UK
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, 2300RC, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 ZC, Leiden, The Netherlands
| | - Karsten Suhre
- Department of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
| | - Annette Peters
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Jakob Linseisen
- Epidemiology, Medical Faculty, University Augsburg, University Hospital Augsburg, 86156, Augsburg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80802, Munich, Germany
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, SE1 7EH, UK.
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8
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Mirza I, Naquiallah D, Mohamed A, Abdulbaseer U, Hassan C, Masrur M, Ali MM, Phillips SA, Mahmoud AM. DNA Hypomethylation as a Potential Link between Excessive Alcohol Intake and Cardiometabolic Dysfunction in Morbidly Obese Adults. Biomedicines 2022; 10:1954. [PMID: 36009501 PMCID: PMC9406007 DOI: 10.3390/biomedicines10081954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/24/2022] Open
Abstract
A large percentage of obese patients in the United States suffer a comorbid substance use disorder, mainly alcohol use. Alcohol consumption interferes with the absorption of dietary methyl donors such as folate required for the one-carbon metabolism pathway and subsequently for DNA methylation. In this study, we assessed the association between alcohol consumption and DNA methylation in obese subjects. We obtained visceral adipose tissue (VAT) biopsies from bariatric patients. DNA methylation of 94 genes implicated in inflammation and immunity were analyzed in VAT in relation to alcohol consumption data obtained via questionnaires. Vasoreactivity was measured in the brachial artery and the VAT-isolated arterioles. Pro-inflammatory genes were significantly hypomethylated in the heavy drinking category correlating with higher levels of circulating inflammatory cytokines. Alcohol consumption correlated positively with body mass index (BMI), fat percentage, insulin resistance, impaired lipid profile, and systemic inflammation and negatively with plasma folate and vitamin B12, inflammatory gene DNA methylation, and vasoreactivity. In conclusion, these data suggest that alcohol intake is associated with lower DNA methylation and higher inflammation and cardiometabolic risk in obese individuals.
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Affiliation(s)
- Imaduddin Mirza
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Dina Naquiallah
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Ariej Mohamed
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Uzma Abdulbaseer
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Chandra Hassan
- Department of Surgery, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Mario Masrur
- Department of Surgery, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Mohamed M. Ali
- Department of Physical Therapy, College of Applied Health Sciences, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Shane A. Phillips
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
- Department of Physical Therapy, College of Applied Health Sciences, The University of Illinois at Chicago, Chicago, IL 60612, USA
- Department of Kinesiology and Nutrition, College of Applied Health Sciences, The University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Abeer M. Mahmoud
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, The University of Illinois at Chicago, Chicago, IL 60612, USA
- Department of Kinesiology and Nutrition, College of Applied Health Sciences, The University of Illinois at Chicago, Chicago, IL 60612, USA
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9
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Dragic D, Chang SL, Ennour-Idrissi K, Durocher F, Severi G, Diorio C. Association between alcohol consumption and DNA methylation in blood: a systematic review of observational studies. Epigenomics 2022; 14:793-810. [PMID: 35762294 DOI: 10.2217/epi-2022-0055] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: We systematically reviewed and evaluated current literature on alcohol consumption and DNA methylation (DNAm) at the genome-wide and probe-wise level in blood of adults. Materials & methods: Five databases (PubMed, Embase, Web of Science, CINAHL and PsycInfo) were searched until 20 December 2020. Studies assessing the effect of alcohol dependence on DNAm were not eligible. Results: 11 cross-sectional studies were included with 88 to 9643 participants. Overall, all studies had a risk of bias criteria unclear or unmet. Epigenome-wide association studies identified between 0 and 5458 differentially methylated positions, and 15 were observed in at least four studies. Conclusion: Potential methylation markers for alcohol consumption have been identified, but further validation in large cohorts is needed.
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Affiliation(s)
- Dzevka Dragic
- Department of Social & Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, G1V 0A6, Canada.,Cancer Research Center, CHU de Québec Research Center, Oncology division, Quebec, QC, G1R 3S3, Canada.,Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome & Heredity" team, Gustave Roussy, Villejuif, 94807, France
| | - Sue-Ling Chang
- Cancer Research Center, CHU de Québec Research Center, Oncology division, Quebec, QC, G1R 3S3, Canada
| | - Kaoutar Ennour-Idrissi
- Department of Social & Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, G1V 0A6, Canada.,Cancer Research Center, CHU de Québec Research Center, Oncology division, Quebec, QC, G1R 3S3, Canada.,Department of Molecular Biology, Medical Biochemistry & Pathology, Faculty of Medicine, Université Laval, Quebec, QC, G1V 0A6, Canada
| | - Francine Durocher
- Cancer Research Center, CHU de Québec Research Center, Oncology division, Quebec, QC, G1R 3S3, Canada.,Department of Molecular Medicine, Faculty of Medicine, Université Laval, Quebec, QC, G1V 0A6, Canada
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, CESP U1018, "Exposome & Heredity" team, Gustave Roussy, Villejuif, 94807, France.,Department of Statistics, Computer Science & Applications "G. Parenti" (DISIA), University of Florence, Florence, 50134, Italy
| | - Caroline Diorio
- Department of Social & Preventive Medicine, Faculty of Medicine, Université Laval, Quebec, QC, G1V 0A6, Canada.,Cancer Research Center, CHU de Québec Research Center, Oncology division, Quebec, QC, G1R 3S3, Canada.,Deschênes-Fabia Center for Breast Diseases, Saint-Sacrement Hospital, Quebec, QC, G1S 4L8, Canada
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10
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Zhao H, Guo P, Zuo Y, Wang Y, Zhao H, Lan T, Xue M, Zhang H, Liang H. Folic acid intervention changes liver Foxp3 methylation and ameliorates the damage caused by Th17/Treg imbalance after long-term alcohol exposure. Food Funct 2022; 13:5262-5274. [PMID: 35438698 DOI: 10.1039/d1fo04267j] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Folic acid, as a key source of methyl donor in DNA methylation, has been proved to play a beneficial role in inflammation modulation, which is usually impaired in alcoholic liver disease (ALD). However, the role of folic acid in alcoholic liver inflammation and injury remain elusive. In this study, we sought to uncover the potential protective mechanism by which folic acid ameliorates alcoholic liver injury. 100 male C57BL/6J mice were randomly divided into 5 groups: normal saline group, folic acid control group (5 mg per kg BW), ethanol model group (56% v/v, 10 mL per kg BW), folic acid + ethanol group, and 5-Aza + ethanol group (0.1 mL per 20 g BW). Liquor (10 mL per kg BW) was orally administered 1 h after the folic acid treatment for 10 consecutive weeks. The results showed that folic acid-inhibited ethanol-induced serum TG, TC, and LDL elevation attenuated hepatic fat accumulation and maintained ALT at a normal level. 10 weeks of ethanol administration simultaneously upregulated the hepatic proportion of Th17 and Treg cells to different extents and broke the homeostasis of liver immunization. Folic acid limited ethanol-induced inflammatory injury by increasing the frequency of hepatic Treg cells. Importantly, this effect may be caused by decreased DNMT3a, which in turn downregulates the methylated levels of CPG2 and CPG3 in the Foxp3 promoter region, changing the abundance of Foxp3 expression and improving the Th17/Treg imbalance. In summary, our findings demonstrated that folic acid supplementation may relieve ethanol-induced Th17/Treg disbalance through altering Foxp3 promoter methylation patterns, suggesting that folic acid may be a feasible preventive strategy for ALD.
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Affiliation(s)
- Huichao Zhao
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Peiyu Guo
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Yuwei Zuo
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Yanhui Wang
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Hui Zhao
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Tongtong Lan
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Meilan Xue
- Basic Medical College, Qingdao University, Ning Xia Road 308, Qingdao 266071, China
| | - Huaqi Zhang
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
| | - Hui Liang
- Departmnt of Nutrition and Food Hygiene, College of Public Health, Qingdao University, Ning Xia Road 308, Qingdao 266071, China.
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11
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Starska-Kowarska K. Dietary Carotenoids in Head and Neck Cancer-Molecular and Clinical Implications. Nutrients 2022; 14:nu14030531. [PMID: 35276890 PMCID: PMC8838110 DOI: 10.3390/nu14030531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/07/2022] [Accepted: 01/12/2022] [Indexed: 01/27/2023] Open
Abstract
Head and neck cancer (HNC) is one of the most common cancers in the world according to GLOBCAN. In 2018, it was reported that HNC accounts for approximately 3% of all human cancers (51,540 new cases) and is the cause of nearly 1.5% of all cancer deaths (10,030 deaths). Despite great advances in treatment, HNC is indicated as a leading cause of death worldwide. In addition to having a positive impact on general health, a diet rich in carotenoids can regulate stages in the course of carcinogenesis; indeed, strong epidemiological associations exist between dietary carotenoids and HNS, and it is presumed that diets with carotenoids can even reduce cancer risk. They have also been proposed as potential chemotherapeutic agents and substances used in chemoprevention of HNC. The present review discusses the links between dietary carotenoids and HNC. It examines the prospective anticancer effect of dietary carotenoids against intracellular cell signalling and mechanisms, oxidative stress regulation, as well as their impact on apoptosis, cell cycle progression, cell proliferation, angiogenesis, metastasis, and chemoprevention; it also provides an overview of the limited preclinical and clinical research published in this arena. Recent epidemiological, key opinion-forming systematic reviews, cross-sectional, longitudinal, prospective, and interventional studies based on in vitro and animal models of HNC also indicate that high carotenoid content obtained from daily supplementation has positive effects on the initiation, promotion, and progression of HNC. This article presents these results according to their increasing clinical credibility.
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Affiliation(s)
- Katarzyna Starska-Kowarska
- Department of Physiology, Pathophysiology and Clinical Immunology, Department of Clinical Physiology, Medical University of Lodz, Żeligowskiego 7/9, 90-752 Lodz, Poland; ; Tel.: +48-604-541-412
- Department of Otorhinolaryngology, EnelMed Center Expert, Lodz, Drewnowska 58, 91-001 Lodz, Poland
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12
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He L. Editorial: Epigenetic Clock: A Novel Tool for Nutrition Studies of Healthy Ageing. J Nutr Health Aging 2022; 26:316-317. [PMID: 35450985 DOI: 10.1007/s12603-022-1773-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- L He
- Lingxiao He, School of Public Health, Xiamen University, Xiang'an South Road, 361104 Xiamen, China
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13
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Chen T, Tao N, Yang S, Cao D, Zhao X, Wang D, Liu J. Association Between Dietary Intake of One-Carbon Metabolism-Related Nutrients and Fluorosis in Guizhou, China. Front Nutr 2021; 8:700726. [PMID: 34651006 PMCID: PMC8505735 DOI: 10.3389/fnut.2021.700726] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 08/24/2021] [Indexed: 12/01/2022] Open
Abstract
Objective: This study aimed to investigate the associations between dietary one-carbon metabolism-related nutrients (betaine, choline, methionine, folate, vitamin B6, and vitamin B12) and fluorosis among the Chinese population in an area known for coal-burning fluorosis. Methods: A cross-sectional study was conducted, with 653 fluorosis patients and 241 non-fluorosis participants. Dietary intake was acquired using a validated semi-quantitative 75-item food frequency questionnaire. The risk associations were assessed by unconditional logistical regression. Results: We observed a significant inverse association between dietary betaine, total choline, methionine, folate, vitamin B6, and choline species and fluorosis. The adjusted OR (95% CI) in the highest quartile of consumption compared with the lowest were 0.59 (0.37-0.94) (P-trend = 0.010) for betaine intake, 0.45 (0.28-0.73) (P-trend = 0.001) for total choline intake, 0.45 (0.28-0.72) (P-trend < 0.001) for methionine intake, 0.39 (0.24-0.63) (P-trend < 0.001) for folate intake, 0.38 (0.24-0.62) (P-trend < 0.001) for vitamin B6 intake, and 0.46 (0.28-0.75) (P-trend = 0.001) for total choline plus betaine intake. Dietary intakes of choline-containing compounds, phosphatidylcholine, free choline, glycerophosphocholine, and phosphocholine were also inversely associated with lower fluorosis (all P-trend < 0.05). No significant associations were observed between dietary vitamin B12 or sphingomyelin and fluorosis. Conclusion: The present study suggested that the higher dietary intakes of specific one-carbon metabolism-related nutrients, such as betaine, choline, methionine, folate, and vitamin B6, are associated with lower fluorosis prevalence.
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Affiliation(s)
- Ting Chen
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Na Tao
- Department of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Sheng Yang
- Department of Surveillance in Public Health, Center for Disease Control and Prevention of Renhuai City, Renhuai, China
| | - Dafang Cao
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Xun Zhao
- Department of Chronic Diseases, Center for Diseases Control and Prevention of Zhijin County, Zhijin, China
| | - Donghong Wang
- Department of Gynaecology and Obstetrics, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Jun Liu
- Department of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, China
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14
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Wu Y, Qie R, Cheng M, Zeng Y, Huang S, Guo C, Zhou Q, Li Q, Tian G, Han M, Zhang Y, Wu X, Li Y, Zhao Y, Yang X, Feng Y, Liu D, Qin P, Hu D, Hu F, Xu L, Zhang M. Air pollution and DNA methylation in adults: A systematic review and meta-analysis of observational studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 284:117152. [PMID: 33895575 DOI: 10.1016/j.envpol.2021.117152] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 04/04/2021] [Accepted: 04/05/2021] [Indexed: 05/24/2023]
Abstract
This systematic review and meta-analysis aimed to investigate the association between air pollution and DNA methylation in adults from published observational studies. PubMed, Web of Science and Embase databases were systematically searched for available studies on the association between air pollution and DNA methylation published up to March 9, 2021. Three DNA methylation approaches were considered: global methylation, candidate-gene, and epigenome-wide association studies (EWAS). Meta-analysis was used to summarize the combined estimates for the association between air pollutants and global DNA methylation levels. Heterogeneity was assessed with the Cochran Q test and quantified with the I2 statistic. In total, 38 articles were included in this study: 16 using global methylation, 18 using candidate genes, and 11 using EWAS, with 7 studies using more than one approach. Meta-analysis revealed an imprecise but inverse association between exposure to PM2.5 and global DNA methylation (for each 10-μg/m3 PM2.5, combined estimate: 0.39; 95% confidence interval: 0.97 - 0.19). The candidate-gene results were consistent for the ERCC3 and SOX2 genes, suggesting hypermethylation in ERCC3 associated with benzene and that in SOX2 associated with PM2.5 exposure. EWAS identified 201 CpG sites and 148 differentially methylated regions that showed differential methylation associated with air pollution. Among the 307 genes investigated in 11 EWAS, a locus in nucleoredoxin gene was found to be positively associated with PM2.5 in two studies. Current meta-analysis indicates that PM2.5 is imprecisely and inversely associated with DNA methylation. The candidate-gene results consistently suggest hypermethylation in ERCC3 associated with benzene exposure and that in SOX2 associated with PM2.5 exposure. The Kyoto Encyclopedia of Genes and Genomes (KEGG) network analyses revealed that these genes were associated with African trypanosomiasis, Malaria, Antifolate resistance, Graft-versus-host disease, and so on. More evidence is needed to clarify the association between air pollution and DNA methylation.
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Affiliation(s)
- Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Min Cheng
- Department of Cardiology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yunhong Zeng
- Center for Health Management, The Affiliated Shenzhen Hospital of University of Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chunmei Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Quanman Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Gang Tian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xingjin Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Pei Qin
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Lidan Xu
- Department of Nutrition, The Second Affiliated Hospital, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
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15
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Fu H, Zeng J, Liu C, Gu Y, Zou Y, Chang H. Folate Intake and Risk of Pancreatic Cancer: A Systematic Review and Updated Meta-Analysis of Epidemiological Studies. Dig Dis Sci 2021; 66:2368-2379. [PMID: 32770489 DOI: 10.1007/s10620-020-06525-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 07/29/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Pancreatic cancer is one of the most fatal malignancies and primary prevention strategies are limited. Epidemiological studies focusing on the association between folate intake and pancreatic cancer risk have reported inconsistent findings. METHODS A systematic search of the literature was conducted using the PubMed and EMBASE databases. A systematic review and meta-analysis of eligible studies was performed to assess the association between folate intake and risk of pancreatic cancer. RESULTS A total of 16 studies involving 5654 cases and 1,009,374 individuals were included. The result showed a significant association of folate intake with a decreased risk of pancreatic cancer, with a pooled OR of 0.82 (95% CI: 0.69-0.97, P = 0.019) for the highest category of intake vs. the lowest. The data suggested that high intake of folate may contribute to the prevention of pancreatic cancer. However, the association was observed only in case-control studies (OR = 0.78, 95% CI: 0.65-0.93, P = 0.006), but not in cohort studies (RR = 0.85, 95% CI: 0.66-1.09, P = 0.244). Dose-response meta-analysis showed that an increment of folate intake (100 μg/day) was marginally associated with the risk of pancreatic cancer, with a pooled OR of 0.97 (95% CI: 0.93-1.00, P = 0.053). CONCLUSION High folate intake might be inversely associated with pancreatic cancer risk, which needs to be confirmed.
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Affiliation(s)
- Hongjuan Fu
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China
| | - Jie Zeng
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China
| | - Chang Liu
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China
| | - Yi Gu
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China
| | - Yixin Zou
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China
| | - Hui Chang
- College of Food Science, Southwest University, No. 2 Tiansheng Road, Beibei District, Chongqing, 400715, China.
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16
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Awada Z, Bouaoun L, Nasr R, Tfayli A, Cuenin C, Akika R, Boustany RM, Makoukji J, Tamim H, Zgheib NK, Ghantous A. LINE-1 methylation mediates the inverse association between body mass index and breast cancer risk: A pilot study in the Lebanese population. ENVIRONMENTAL RESEARCH 2021; 197:111094. [PMID: 33839117 DOI: 10.1016/j.envres.2021.111094] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 02/28/2021] [Accepted: 03/24/2021] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Lebanon is among the top countries worldwide in combined incidence and mortality of breast cancer, which raises concern about risk factors peculiar to this country. The underlying molecular mechanisms of breast cancer require elucidation, particularly epigenetics, which is recognized as a molecular sensor to environmental exposures. PURPOSE We aim to explore whether DNA methylation levels of AHRR (marker of cigarette smoking), SLC1A5 and TXLNA (markers of alcohol consumption), and LINE-1 (a genome-wide repetitive retrotransposon) can act as molecular mediators underlying putative associations between breast cancer risk and pertinent extrinsic (tobacco smoking and alcohol consumption) and intrinsic factors [age and body mass index (BMI)]. METHODS This is a cross-sectional pilot study which includes breast cancer cases (N = 65) and controls (N = 54). DNA methylation levels were measured using bisulfite pyrosequencing on available peripheral blood samples (N = 119), and Multivariate Imputation by Chained Equations (MICE) was used to impute missing DNA methylation values in remaining samples. Multiple mediation analysis was performed to assess direct and indirect (via DNA methylation) effects of intrinsic and extrinsic factors on breast cancer risk. RESULTS In relation to exposure, AHRR hypo-methylation was associated with cigarette but not waterpipe smoking, suggesting potentially different biomarkers of these two forms of tobacco use; SLC1A5 and TXLNA methylation were not associated with alcohol consumption; LINE-1 methylation was inversely associated with BMI (β-value [95% confidence interval (CI)] = -0.04 [-0.07, -0.02]), which remained significant after adjustment for age, smoking and alcohol consumption. In relation to breast cancer, there was no detectable association between AHRR, SLC1A5 or TXLNA methylation and cancer risk, but LINE-1 methylation was significantly higher in breast cancer cases when compared to controls (mean ± SD: 72.00 ± 0.66 versus 70.89 ± 0.73, P = 4.67 × 10-14). This difference remained significant after adjustment for confounders (odds ratio (OR) [95% CI] = 9.75[3.74, 25.39]). Moreover, LINE-1 hypo-methylation mediated 83% of the inverse effect of BMI on breast cancer risk. CONCLUSION This pilot study demonstrates that alterations in blood LINE-1 methylation mediate the inverse effect of BMI on breast cancer risk. This warrants large scale studies and stratification based on clinic-pathological types of breast cancer.
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Affiliation(s)
- Zainab Awada
- Department of Pharmacology and Toxicology, American University of Beirut Faculty of Medicine, Beirut, Lebanon; International Agency for Research on Cancer, Lyon, France
| | | | - Rihab Nasr
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Arafat Tfayli
- Division of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Cyrille Cuenin
- International Agency for Research on Cancer, Lyon, France
| | - Reem Akika
- Department of Pharmacology and Toxicology, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Rose-Mary Boustany
- Department of Biochemistry and Molecular Genetics, American University of Beirut Faculty of Medicine, Beirut, Lebanon; Department of Neurology, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Joelle Makoukji
- Department of Biochemistry and Molecular Genetics, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Hani Tamim
- Department of Internal Medicine and Clinical Research Institute, American University of Beirut Faculty of Medicine, Beirut, Lebanon
| | - Nathalie K Zgheib
- Department of Pharmacology and Toxicology, American University of Beirut Faculty of Medicine, Beirut, Lebanon.
| | - Akram Ghantous
- International Agency for Research on Cancer, Lyon, France.
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17
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Liang X, Justice AC, So-Armah K, Krystal JH, Sinha R, Xu K. DNA methylation signature on phosphatidylethanol, not on self-reported alcohol consumption, predicts hazardous alcohol consumption in two distinct populations. Mol Psychiatry 2021; 26:2238-2253. [PMID: 32034291 PMCID: PMC8440221 DOI: 10.1038/s41380-020-0668-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Revised: 12/20/2019] [Accepted: 01/28/2020] [Indexed: 12/28/2022]
Abstract
The process of diagnosing hazardous alcohol drinking (HAD) is based on self-reported data and is thereby vulnerable to bias. There has been an interest in developing epigenetic biomarkers for HAD that might complement clinical assessment. Because alcohol consumption has been previously linked to DNA methylation (DNAm), we aimed to select DNAm signatures in blood to predict HAD from two demographically and clinically distinct populations (Ntotal = 1,549). We first separately conducted an epigenome-wide association study (EWAS) for phosphatidylethanol (PEth), an objective measure of alcohol consumption, and for self-reported alcohol consumption in Cohort 1. We identified 83 PEth-associated CpGs, including 23 CpGs previously associated with alcohol consumption or alcohol use disorder. In contrast, no CpG reached epigenome-wide significance on self-reported alcohol consumption. Using a machine learning approach, two CpG subsets from EWAS on PEth and on self-reported alcohol consumption from Cohort 1 were separately tested for the prediction of HAD in Cohort 2. We found that a subset of 143 CpGs selected from the EWAS on PEth showed an excellent prediction of HAD with the area under the receiver operating characteristic curve (AUC) of 89.4% in training set and 73.9% in validation set of Cohort 2. However, CpGs preselected from the EWAS on self-reported alcohol consumption showed a poor prediction of HAD with AUC 75.2% in training set and 57.6% in validation set. Our results demonstrate that an objective measure for alcohol consumption is a more informative phenotype than self-reported data for revealing epigenetic mechanisms. The PEth-associated DNAm signature in blood could serve as a robust biomarker for alcohol consumption.
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Affiliation(s)
- Xiaoyu Liang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Amy C Justice
- VA Connecticut Healthcare System, West Haven, CT, USA
- Yale School of Medicine, New Haven, CT, USA
| | - Kaku So-Armah
- Boston University School of Medicine, Boston, MA, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, USA
- Stress Center, Yale School of Medicine, New Haven, CT, USA
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
- VA Connecticut Healthcare System, West Haven, CT, USA.
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18
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Lu M, Xueying Q, Hexiang P, Wenjing G, Hägg S, Weihua C, Chunxiao L, Canqing Y, Jun L, Zengchang P, Liming C, Hua W, Xianping W, Yunzhang W, Liming L. Genome-wide associations between alcohol consumption and blood DNA methylation: evidence from twin study. Epigenomics 2021; 13:939-951. [PMID: 33993705 DOI: 10.2217/epi-2021-0039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Alcohol intake alters DNA methylation profiles and methylation might mediate the association between alcohol and disease, but limited number of positive CpG sites repeatedly replicated. Materials & methods: In total, 57 monozygotic (MZ) twin pairs discordant for alcohol drinking from the Chinese National Twin Registry and 158 MZ and dizygotic twin pairs in the Swedish Adoption/Twin Study of Aging were evaluated. DNA methylation was detected using the Infinium HumanMethylation450 BeadChip. Results: Among candidate CpG sites, cg07326074 was significantly correlated with drinking after adjusting for covariates in MZ twins in both datasets but not in the entire sample or dizygotic twins. Conclusion: The hypermethylation of cg07326074, located in the tumor-promoting gene C16orf59, was associated with alcohol consumption.
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Affiliation(s)
- Meng Lu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Qin Xueying
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.,Department of Medical Epidemiology & Biostatistics, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Peng Hexiang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Gao Wenjing
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Sara Hägg
- Department of Medical Epidemiology & Biostatistics, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Cao Weihua
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Li Chunxiao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Yu Canqing
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Lv Jun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Pang Zengchang
- Qingdao Center for Disease Control & Prevention, Qingdao 266033, PR China
| | - Cong Liming
- Zhejiang Center for Disease Control & Prevention, Hangzhou 310051, PR China
| | - Wang Hua
- Jiangsu Center for Disease Control & Prevention, Nanjing 210009, PR China
| | - Wu Xianping
- Sichuan Center for Disease Control & Prevention, Chengdu 610041, PR China
| | - Wang Yunzhang
- Department of Medical Epidemiology & Biostatistics, Karolinska Institute, 171 76 Stockholm, Sweden
| | - Li Liming
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
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19
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Costanzo S, Virgili F, Panico S. Will guidelines on alcohol consumption be personalized by a genetic approach? GENES & NUTRITION 2021; 16:2. [PMID: 33494697 PMCID: PMC7830050 DOI: 10.1186/s12263-021-00682-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 01/11/2021] [Indexed: 11/13/2022]
Affiliation(s)
- Simona Costanzo
- Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, IS, Italy.
| | - Fabio Virgili
- Council for Agricultural Research and Economics, Research Centre for Food and Nutrition, Rome, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy.
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20
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Kandaswamy R, Hannon E, Arseneault L, Mansell G, Sugden K, Williams B, Burrage J, Staley JR, Pishva E, Dahir A, Roberts S, Danese A, Mill J, Fisher HL, Wong CCY. DNA methylation signatures of adolescent victimization: analysis of a longitudinal monozygotic twin sample. Epigenetics 2020; 16:1169-1186. [PMID: 33371772 PMCID: PMC8813077 DOI: 10.1080/15592294.2020.1853317] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Accumulating evidence suggests that individuals exposed to victimization at key developmental stages may have different epigenetic fingerprints compared to those exposed to no/minimal stressful events, however results are inconclusive. This study aimed to strengthen causal inference regarding the impact of adolescent victimization on the epigenome by controlling for genetic variation, age, gender, and shared environmental exposures. We conducted longitudinal epigenome-wide association analyses (EWAS) on DNA methylation (DNAm) profiles of 118 monozygotic (MZ) twin pairs from the Environmental Risk study with and without severe adolescent victimization generated using buccal DNA collected at ages 5, 10 and 18, and the Illumina EPIC array. Additionally, we performed cross-sectional EWAS on age-18 blood and buccal DNA from the same individuals to elucidate tissue-specific signatures of severe adolescent victimization. Our analyses identified 20 suggestive differentially methylated positions (DMPs) (P < 5e-05), with altered DNAm trajectories between ages 10–18 associated with severe adolescent victimization (∆Beta range = −5.5%−5.3%). Age-18 cross-sectional analyses revealed 72 blood (∆Beta range = −2.2%−3.4%) and 42 buccal (∆Beta range = −3.6%−4.6%) suggestive severe adolescent victimization-associated DMPs, with some evidence of convergent signals between these two tissue types. Downstream regional analysis identified significant differentially methylated regions (DMRs) in LGR6 and ANK3 (Šidák P = 5e-09 and 4.07e-06), and one upstream of CCL27 (Šidák P = 2.80e-06) in age-18 blood and buccal EWAS, respectively. Our study represents the first longitudinal MZ twin analysis of DNAm and severe adolescent victimization, providing initial evidence for altered DNA methylomic signatures in individuals exposed to adolescent victimization.
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Affiliation(s)
- Radhika Kandaswamy
- King's College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Louise Arseneault
- King's College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK.,ESRC Centre for Society & Mental Health, King's College London, London, UK
| | - Georgina Mansell
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Benjamin Williams
- Department of Psychology and Neuroscience, Duke University, Durham, NC, USA
| | - Joe Burrage
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - James R Staley
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ehsan Pishva
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Aisha Dahir
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Susanna Roberts
- King's College London, Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, London UK
| | - Andrea Danese
- King's College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK.,King's College London, Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, London UK.,National & Specialist CAMHS Clinic for Trauma, Anxiety and Depression, South London & Maudsley NHS Foundation Trust, London, UK
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Helen L Fisher
- King's College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK.,ESRC Centre for Society & Mental Health, King's College London, London, UK
| | - Chloe C Y Wong
- King's College London, Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
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21
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Moody L, Crowder SL, Fruge AD, Locher JL, Demark-Wahnefried W, Rogers LQ, Delk-Licata A, Carroll WR, Spencer SA, Black M, Erdman JW, Chen H, Pan YX, Arthur AE. Epigenetic stratification of head and neck cancer survivors reveals differences in lycopene levels, alcohol consumption, and methylation of immune regulatory genes. Clin Epigenetics 2020; 12:138. [PMID: 32917280 PMCID: PMC7488769 DOI: 10.1186/s13148-020-00930-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 09/01/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Inflammation has been associated with higher rates of recurrence and mortality in head and neck cancer (HNC). While the biological mechanisms predisposing patients to heightened inflammatory states remain largely unknown, DNA methylation has been proposed to reflect systemic inflammation. In this analysis, we attempt to identify meaningful epigenetic patterns in HNC survivors by stratifying individuals based on DNA methylation profiles in leukocytes. RESULTS We used hierarchical clustering to uncover three distinct methylation patterns among HNC survivors. Each group displayed a unique methylation signature in inflammatory pathways including cytokine and B-cell receptor signaling. Additionally, we examined physiological, clinical, and lifestyle parameters related to inflammation, such as circulating carotenoid and cytokine levels, cancer treatment type, and alcohol consumption. Specifically, we identified one group of survivors who had significant differential methylation of transcriptional and translational regulators as well as genes in the T-cell receptor signaling pathway, including hypermethylation of CD40 ligand (CD40LG) and Tec protein tyrosine kinase (TEC) and hypomethylation of CD8A. This group also displayed high circulating lycopene levels. We identified another group that had distinctive methylation in the toll-like receptor (TLR) signaling pathway, including hypomethylation of TLR5, a component of the inhibitor of nuclear factor-kappa B kinase complex (CHUK), and two mitogen-activated protein kinases (MAP3K8 and MAP2K3). This group also had hypermethylation of mitochondrial ribosomal genes along with higher rates of alcohol consumption. CONCLUSION The correlation between lycopene, alcohol consumption, DNA methylation, and inflammation warrants further investigation and may have implications in future recommendations and interventions to impact health outcomes in HNC survivors.
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Affiliation(s)
- Laura Moody
- Division of Nutritional Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
| | - Sylvia L. Crowder
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
| | - Andrew D. Fruge
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849 USA
| | - Julie L. Locher
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - Wendy Demark-Wahnefried
- Department of Nutrition Science, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - Laura Q. Rogers
- Department of Nutrition Science, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - Ashley Delk-Licata
- Department of Nutrition Science, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - William R. Carroll
- Department of Otolaryngology, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - Sharon A. Spencer
- Department of Radiation Oncology, University of Alabama at Birmingham, Birmingham, AL 35294 USA
| | - Molly Black
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
| | - John W. Erdman
- Division of Nutritional Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
| | - Hong Chen
- Division of Nutritional Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
| | - Yuan-Xiang Pan
- Division of Nutritional Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
- Illinois Informatics Institute, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
| | - Anna E. Arthur
- Division of Nutritional Sciences, University of Illinois at Urbana–Champaign, Urbana, IL 61801 USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana–Champaign, 386A Bevier Hall, MC-182, 905 South Goodwin Avenue, Urbana, IL 61801 USA
- Carle Cancer Center, Carle Foundation Hospital, Urbana, IL 61801 USA
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22
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Amenyah SD, Ward M, Strain JJ, McNulty H, Hughes CF, Dollin C, Walsh CP, Lees-Murdock DJ. Nutritional Epigenomics and Age-Related Disease. Curr Dev Nutr 2020; 4:nzaa097. [PMID: 32666030 PMCID: PMC7335360 DOI: 10.1093/cdn/nzaa097] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/27/2020] [Accepted: 05/21/2020] [Indexed: 12/24/2022] Open
Abstract
Recent advances in epigenetic research have enabled the development of epigenetic clocks, which have greatly enhanced our ability to investigate molecular processes that contribute to aging and age-related disease. These biomarkers offer the potential to measure the effect of environmental exposures linked to dynamic changes in DNA methylation, including nutrients, as factors in age-related disease. They also offer a compelling insight into how imbalances in the supply of nutrients, particularly B-vitamins, or polymorphisms in regulatory enzymes involved in 1-carbon metabolism, the key pathway that supplies methyl groups for epigenetic reactions, may influence epigenetic age and interindividual disease susceptibility. Evidence from recent studies is critically reviewed, focusing on the significant contribution of the epigenetic clock to nutritional epigenomics and its impact on health outcomes and age-related disease. Further longitudinal studies and randomized nutritional interventions are required to advance the field.
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Affiliation(s)
- Sophia D Amenyah
- Genomic Medicine Research Group , School of Biomedical Sciences, Ulster University, Northern Ireland, United Kingdom. BT52 1SA
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom. BT52 1SA
| | - Mary Ward
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom. BT52 1SA
| | - J J Strain
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom. BT52 1SA
| | - Helene McNulty
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom. BT52 1SA
| | - Catherine F Hughes
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, United Kingdom. BT52 1SA
| | - Caitlin Dollin
- Genomic Medicine Research Group , School of Biomedical Sciences, Ulster University, Northern Ireland, United Kingdom. BT52 1SA
| | - Colum P Walsh
- Genomic Medicine Research Group , School of Biomedical Sciences, Ulster University, Northern Ireland, United Kingdom. BT52 1SA
| | - Diane J Lees-Murdock
- Genomic Medicine Research Group , School of Biomedical Sciences, Ulster University, Northern Ireland, United Kingdom. BT52 1SA
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23
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Chung FFL, Herceg Z. The Promises and Challenges of Toxico-Epigenomics: Environmental Chemicals and Their Impacts on the Epigenome. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:15001. [PMID: 31950866 PMCID: PMC7015548 DOI: 10.1289/ehp6104] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 12/15/2019] [Accepted: 12/16/2019] [Indexed: 05/02/2023]
Abstract
BACKGROUND It has been estimated that a substantial portion of chronic and noncommunicable diseases can be caused or exacerbated by exposure to environmental chemicals. Multiple lines of evidence indicate that early life exposure to environmental chemicals at relatively low concentrations could have lasting effects on individual and population health. Although the potential adverse effects of environmental chemicals are known to the scientific community, regulatory agencies, and the public, little is known about the mechanistic basis by which these chemicals can induce long-term or transgenerational effects. To address this question, epigenetic mechanisms have emerged as the potential link between genetic and environmental factors of health and disease. OBJECTIVES We present an overview of epigenetic regulation and a summary of reported evidence of environmental toxicants as epigenetic disruptors. We also discuss the advantages and challenges of using epigenetic biomarkers as an indicator of toxicant exposure, using measures that can be taken to improve risk assessment, and our perspectives on the future role of epigenetics in toxicology. DISCUSSION Until recently, efforts to apply epigenomic data in toxicology and risk assessment were restricted by an incomplete understanding of epigenomic variability across tissue types and populations. This is poised to change with the development of new tools and concerted efforts by researchers across disciplines that have led to a better understanding of epigenetic mechanisms and comprehensive maps of epigenomic variation. With the foundations now in place, we foresee that unprecedented advancements will take place in the field in the coming years. https://doi.org/10.1289/EHP6104.
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Affiliation(s)
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
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Kader F, Ghai M, Olaniran AO. Characterization of DNA methylation-based markers for human body fluid identification in forensics: a critical review. Int J Legal Med 2019; 134:1-20. [PMID: 31713682 DOI: 10.1007/s00414-019-02181-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 10/15/2019] [Indexed: 02/07/2023]
Abstract
Body fluid identification in crime scene investigations aids in reconstruction of crime scenes. Several studies have identified and reported differentially methylated sites (DMSs) and regions (DMRs) which differ between forensically relevant tissues (tDMRs) and body fluids. Diverse factors affect methylation patterns such as the environment, diets, lifestyle, disease, ethnicity, genetic variation, amongst others. Thus, it is important to analyse the stability of markers employed for forensic identification. Furthermore, even though epigenetic modifications are described as stable and heritable, epigenetic inheritance of potential markers for body fluid identification needs to be assessed in the long term. Here, we discuss the current status of reported DNA methylation-based markers and their verification studies. Such thorough investigation is crucial to develop a stable panel of DNA methylation-based markers for accurate body fluid identification.
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Affiliation(s)
- Farzeen Kader
- Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa
| | - Meenu Ghai
- Discipline of Genetics, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa.
| | - Ademola O Olaniran
- Discipline of Microbiology, School of Life Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal (Westville Campus), Private Bag X54001, Durban, Republic of South Africa
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