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Petri BJ, Piell KM, Wahlang B, Head KZ, Andreeva K, Rouchka EC, Cave MC, Klinge CM. Polychlorinated biphenyls alter hepatic m6A mRNA methylation in a mouse model of environmental liver disease. ENVIRONMENTAL RESEARCH 2023; 216:114686. [PMID: 36341798 PMCID: PMC10120843 DOI: 10.1016/j.envres.2022.114686] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/30/2022] [Accepted: 10/25/2022] [Indexed: 05/21/2023]
Abstract
Exposure to polychlorinated biphenyls (PCBs) has been associated with liver injury in human cohorts and with nonalcoholic steatohepatitis (NASH) in mice fed a high fat diet (HFD). N (6)-methyladenosine (m6A) modification of mRNA regulates transcript fate, but the contribution of m6A modification on the regulation of transcripts in PCB-induced steatosis and fibrosis is unknown. This study tested the hypothesis that PCB and HFD exposure alters the levels of m6A modification in transcripts that play a role in NASH in vivo. Male C57Bl6/J mice were fed a HFD (12 wks) and administered a single oral dose of Aroclor1260, PCB126, or Aroclor1260 + PCB126. Genome-wide identification of m6A peaks was accomplished by m6A mRNA immunoprecipitation sequencing (m6A-RIP) and the mRNA transcriptome identified by RNA-seq. Exposure of HFD-fed mice to Aroclor1260 decreased the number of m6A peaks and m6A-containing genes relative to PCB vehicle control whereas PCB126 or the combination of Aroclor1260 + PCB126 increased m6A modification frequency. ∼41% of genes had one m6A peak and ∼49% had 2-4 m6A peaks. 117 m6A peaks were common in the four experimental groups. The Aroclor1260 + PCB126 exposure group showed the highest number (52) of m6A-peaks. qRT-PCR confirmed enrichment of m6A-containing fragments of the Apob transcript with PCB exposure. A1cf transcript abundance, m6A peak count, and protein abundance was increased with Aroclor1260 + PCB126 co-exposure. Irrespective of the PCB type, all PCB groups exhibited enriched pathways related to lipid/lipoprotein metabolism and inflammation through the m6A modification. Integrated analysis of m6A-RIP-seq and mRNA-seq identified 242 differentially expressed genes (DEGs) with increased or reduced number of m6A peaks. These data show that PCB exposure in HFD-fed mice alters the m6A landscape offering an additional layer of regulation of gene expression affecting a subset of gene responses in NASH.
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Affiliation(s)
- Belinda J Petri
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Kellianne M Piell
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Banrida Wahlang
- University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA; University of Louisville Hepatobiology and Toxicology Center, USA; The University of Louisville Superfund Research Center, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Louisville School of Medicine, USA
| | - Kimberly Z Head
- University of Louisville Hepatobiology and Toxicology Center, USA
| | - Kalina Andreeva
- KY INBRE Bioinformatics Core, University of Louisville, USA; Department of Genetics, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
| | - Eric C Rouchka
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA; KY INBRE Bioinformatics Core, University of Louisville, USA
| | - Matthew C Cave
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Louisville School of Medicine, USA
| | - Carolyn M Klinge
- Department of Biochemistry & Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA; University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA.
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2
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Tsuboi Y, Yamada H, Munetsuna E, Fujii R, Yamazaki M, Ando Y, Mizuno G, Hattori Y, Ishikawa H, Ohashi K, Hashimoto S, Hamajima N, Suzuki K. Intake of vegetables and fruits rich in provitamin A is positively associated with aryl hydrocarbon receptor repressor DNA methylation in a Japanese population. Nutr Res 2022; 107:206-217. [PMID: 36334347 DOI: 10.1016/j.nutres.2022.10.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/06/2022]
Abstract
DNA methylation can be affected by numerous lifestyle factors, including diet. Tobacco smoking induces aryl hydrocarbon receptor repressor (AHRR) DNA hypomethylation, which increases the risk of lung and other cancers. However, no lifestyle habits that might increase or restore percentage of AHRR DNA methylation have been identified. We hypothesized that dietary intakes of vegetables/fruits and serum carotenoid concentrations are related to AHRR DNA methylation. A total of 813 individuals participated in this cross-sectional study. A food frequency questionnaire was used to assess dietary intake of vegetables and fruits. AHRR DNA methylation in peripheral blood mononuclear cells were measured using pyrosequencing method. In men, dietary fruit intake was significantly and positively associated with AHRR DNA methylation among current smokers (P for trend = .034). A significant positive association of serum provitamin A with AHRR DNA methylation was observed among current smokers (men: standardized β = 0.141 [0.045 to 0.237], women: standardized β = 0.570 [0.153 to 0.990]). However, compared with never smokers with low provitamin A concentrations, percentages of AHRR DNA methylation were much lower among current smokers, even those with high provitamin A concentrations (men: β = -19.1% [-33.8 to -19.8], women: β = -6.0% [-10.2 to -1.7]). Dietary intake of vegetables and fruits rich in provitamin A may increase percentage of AHRR DNA methylation in current smokers. However, although we found a beneficial effect of provitamin A on AHRR DNA methylation, this beneficial effect could not completely remove the effect of smoking on AHRR DNA demethylation.
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Affiliation(s)
- Yoshiki Tsuboi
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Hiroya Yamada
- Department of Hygiene, Fujita Health University School of Medicine, Toyoake, Aichi, Japan, 470-1192.
| | - Eiji Munetsuna
- Department of Biochemistry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan, 470-1192.
| | - Ryosuke Fujii
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Mirai Yamazaki
- Department of Medical Technology, Kagawa Prefectural University of Health Sciences, Takamatsu, Kagawa, Japan, 761-0123.
| | - Yoshitaka Ando
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Genki Mizuno
- Department of Medical Technology, Tokyo University of Technology School of Health Sciences, Ota, Tokyo, Japan, 144-8535.
| | - Yuji Hattori
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Hiroaki Ishikawa
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Koji Ohashi
- Department of Informative Clinical Medicine, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
| | - Shuji Hashimoto
- Department of Hygiene, Fujita Health University School of Medicine, Toyoake, Aichi, Japan, 470-1192.
| | - Nobuyuki Hamajima
- Department of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan, 466-8550.
| | - Koji Suzuki
- Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, Toyoake, Aichi, Japan, 470-1192.
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Petri BJ, Piell KM, Wahlang B, Head KZ, Andreeva K, Rouchka EC, Pan J, Rai SN, Cave MC, Klinge CM. Multiomics analysis of the impact of polychlorinated biphenyls on environmental liver disease in a mouse model. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 94:103928. [PMID: 35803474 DOI: 10.1016/j.etap.2022.103928] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/27/2022] [Accepted: 07/03/2022] [Indexed: 06/15/2023]
Abstract
Exposure to high fat diet (HFD) and persistent organic pollutants including polychlorinated biphenyls (PCBs) is associated with liver injury in human populations and non-alcoholic fatty liver disease (NAFLD) and steatohepatitis (NASH) in animal models. Previously, exposure of HFD-fed male mice to the non-dioxin-like (NDL) PCB mixture Aroclor1260, dioxin-like (DL) PCB126, or Aroclor1260 + PCB126 co-exposure caused toxicant-associated steatohepatitis (TASH) and differentially altered the liver proteome. Here unbiased mRNA and miRNA sequencing (mRNA- and miRNA- seq) was used to identify biological pathways altered in these liver samples. Fewer transcripts and miRs were up- or down- regulated by PCB126 or Aroclor1260 compared to the combination, suggesting that crosstalk between the receptors activated by these PCBs amplifies changes in the transcriptome. Pathway enrichment analysis identified "positive regulation of Wnt/β-catenin signaling" and "role of miRNAs in cell migration, survival, and angiogenesis" for differentially expressed mRNAs and miRNAs, respectively. We evaluated the five miRNAs increased in human plasma with PCB exposure and suspected TASH and found that miR-192-5p was increased with PCB exposure in mouse liver. Although we observed little overlap between differentially expressed mRNA transcripts and proteins, biological pathway-relevant PCB-induced miRNA-mRNA and miRNA-protein inverse relationships were identified that may explain protein changes. These results provide novel insights into miRNA and mRNA transcriptome changes playing direct and indirect roles in the functional protein pathways in PCB-related hepatic lipid accumulation, inflammation, and fibrosis in a mouse model of TASH and its relevance to human liver disease in exposed populations.
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Affiliation(s)
- Belinda J Petri
- Department of Biochemistry & Molecular Genetics, Center for Genetics and Molecular Medicine University of Louisville, Louisville, KY 40292, USA
| | - Kellianne M Piell
- Department of Biochemistry & Molecular Genetics, Center for Genetics and Molecular Medicine University of Louisville, Louisville, KY 40292, USA
| | - Banrida Wahlang
- University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA; University of Louisville Hepatobiology and Toxicology Center, USA; The University of Louisville Superfund Research Center, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Louisville School of Medicine, USA
| | - Kimberly Z Head
- University of Louisville Hepatobiology and Toxicology Center, USA
| | | | - Eric C Rouchka
- Department of Biochemistry & Molecular Genetics, Center for Genetics and Molecular Medicine University of Louisville, Louisville, KY 40292, USA; KY INBRE Bioinformatics Core, University of Louisville, USA
| | - Jianmin Pan
- Biostatistics and Bioinformatics Facility, Brown Cancer Center, USA
| | - Shesh N Rai
- University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA; University of Louisville Hepatobiology and Toxicology Center, USA; Biostatistics and Bioinformatics Facility, Brown Cancer Center, USA
| | - Matthew C Cave
- Department of Biochemistry & Molecular Genetics, Center for Genetics and Molecular Medicine University of Louisville, Louisville, KY 40292, USA; University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA; University of Louisville Hepatobiology and Toxicology Center, USA; The University of Louisville Superfund Research Center, USA; Division of Gastroenterology, Hepatology & Nutrition, Department of Medicine, University of Louisville School of Medicine, USA
| | - Carolyn M Klinge
- Department of Biochemistry & Molecular Genetics, Center for Genetics and Molecular Medicine University of Louisville, Louisville, KY 40292, USA; University of Louisville Center for Integrative Environmental Health Sciences (CIEHS), USA.
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Laufer BI, Neier K, Valenzuela AE, Yasui DH, Schmidt RJ, Lein PJ, LaSalle JM. Placenta and fetal brain share a neurodevelopmental disorder DNA methylation profile in a mouse model of prenatal PCB exposure. Cell Rep 2022; 38:110442. [PMID: 35235788 PMCID: PMC8941983 DOI: 10.1016/j.celrep.2022.110442] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/19/2021] [Accepted: 02/03/2022] [Indexed: 12/27/2022] Open
Abstract
Polychlorinated biphenyls (PCBs) are developmental neurotoxicants implicated as environmental risk factors for neurodevelopmental disorders (NDDs). Here, we report the effects of prenatal exposure to a human-relevant mixture of PCBs on the DNA methylation profiles of mouse placenta and fetal brain. Thousands of differentially methylated regions (DMRs) distinguish placenta and fetal brain from PCB-exposed mice from sex-matched vehicle controls. In both placenta and fetal brain, PCB-associated DMRs are enriched for functions related to neurodevelopment and cellular signaling and enriched within regions of bivalent chromatin. The placenta and brain PCB DMRs overlap significantly and map to a shared subset of genes enriched for Wnt signaling, Slit/Robo signaling, and genes differentially expressed in NDD models. The consensus PCB DMRs also significantly overlap with DMRs from human NDD brain and placenta. These results demonstrate that PCB-exposed placenta contains a subset of DMRs that overlap fetal brain DMRs relevant to an NDD.
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Affiliation(s)
- Benjamin I Laufer
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA; MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
| | - Kari Neier
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA; MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA; Perinatal Origins of Disparities Center, University of California, Davis, Davis, CA 95616, USA
| | - Anthony E Valenzuela
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Dag H Yasui
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA; MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA
| | - Rebecca J Schmidt
- MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA; Perinatal Origins of Disparities Center, University of California, Davis, Davis, CA 95616, USA; Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Pamela J Lein
- MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA; Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA
| | - Janine M LaSalle
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA; MIND Institute, School of Medicine, University of California, Davis, Sacramento, CA 95817, USA; Perinatal Origins of Disparities Center, University of California, Davis, Davis, CA 95616, USA.
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5
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Cave MC, Pinkston CM, Rai SN, Wahlang B, Pavuk M, Head KZ, Carswell GK, Nelson GM, Klinge CM, Bell DA, Birnbaum LS, Chorley BN. Circulating MicroRNAs, Polychlorinated Biphenyls, and Environmental Liver Disease in the Anniston Community Health Survey. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:17003. [PMID: 34989596 PMCID: PMC8734566 DOI: 10.1289/ehp9467] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 11/05/2021] [Accepted: 11/10/2021] [Indexed: 05/19/2023]
Abstract
BACKGROUND Polychlorinated biphenyl (PCB) exposures have been associated with liver injury in human cohorts, and steatohepatitis with liver necrosis in model systems. MicroRNAs (miRs) maintain cellular homeostasis and may regulate the response to environmental stress. OBJECTIVES We tested the hypothesis that specific miRs are associated with liver disease and PCB exposures in a residential cohort. METHODS Sixty-eight targeted hepatotoxicity miRs were measured in archived serum from 734 PCB-exposed participants in the cross-sectional Anniston Community Health Survey. Necrotic and other liver disease categories were defined by serum keratin 18 (K18) biomarkers. Associations were determined between exposure biomarkers (35 ortho-substituted PCB congeners) and disease biomarkers (highly expressed miRs or previously measured cytokines), and Ingenuity Pathway Analysis was performed. RESULTS The necrotic liver disease category was associated with four up-regulated miRs (miR-99a-5p, miR-122-5p, miR-192-5p, and miR-320a) and five down-regulated miRs (let-7d-5p, miR-17-5p, miR-24-3p, miR-197-3p, and miR-221-3p). Twenty-two miRs were associated with the other liver disease category or with K18 measurements. Eleven miRs were associated with 24 PCBs, most commonly congeners with anti-estrogenic activities. Most of the exposure-associated miRs were associated with at least one serum hepatocyte death, pro-inflammatory cytokine or insulin resistance bioarker, or with both. Within each biomarker category, associations were strongest for the liver-specific miR-122-5p. Pathways of liver toxicity that were identified included inflammation/hepatitis, hyperplasia/hyperproliferation, cirrhosis, and hepatocellular carcinoma. Tumor protein p53 and tumor necrosis factor α were well integrated within the top identified networks. DISCUSSION These results support the human hepatotoxicity of environmental PCB exposures while elucidating potential modes of PCB action. The MiR-derived liquid liver biopsy represents a promising new technique for environmental hepatology cohort studies. https://doi.org/10.1289/EHP9467.
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Affiliation(s)
- Matthew C. Cave
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky, USA
- Superfund Research Center, University of Louisville, Louisville, Kentucky, USA
- Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- Robley Rex Veterans Affairs Medical Center, Louisville, Kentucky, USA
- Liver Transplant Program at UofL Health–Jewish Hospital Trager Transplant Center, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, Louisville, Kentucky, USA
| | - Christina M. Pinkston
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky, USA
- Department of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Sciences, Louisville, Kentucky, USA
- Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky, USA
| | - Shesh N. Rai
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky, USA
- Superfund Research Center, University of Louisville, Louisville, Kentucky, USA
- Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, Kentucky, USA
- University of Louisville Alcohol Research Center, Louisville, Kentucky, USA
- Department of Bioinformatics and Biostatistics, University of Louisville School of Public Health and Information Sciences, Louisville, Kentucky, USA
- Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky, USA
| | - Banrida Wahlang
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Superfund Research Center, University of Louisville, Louisville, Kentucky, USA
| | - Marian Pavuk
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Kimberly Z. Head
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, School of Medicine, University of Louisville, Louisville, Kentucky, USA
- Hepatobiology and Toxicology Center, University of Louisville, Louisville, Kentucky, USA
| | - Gleta K. Carswell
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Gail M. Nelson
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Carolyn M. Klinge
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, Kentucky, USA
| | - Douglas A. Bell
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Linda S. Birnbaum
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Brian N. Chorley
- United States Environmental Protection Agency, Research Triangle Park, North Carolina, USA
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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: 26] [Impact Index Per Article: 8.7] [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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Rytel MR, Butler R, Eliot M, Braun JM, Houseman EA, Kelsey KT. DNA methylation in the adipose tissue and whole blood of Agent Orange-exposed Operation Ranch Hand veterans: a pilot study. Environ Health 2021; 20:43. [PMID: 33849548 PMCID: PMC8045317 DOI: 10.1186/s12940-021-00717-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 03/08/2021] [Indexed: 05/26/2023]
Abstract
BACKGROUND Between 1962 and 1971, the US Air Force sprayed Agent Orange across Vietnam, exposing many soldiers to this dioxin-containing herbicide. Several negative health outcomes have been linked to Agent Orange exposure, but data is lacking on the effects this chemical has on the genome. Therefore, we sought to characterize the impact of Agent Orange exposure on DNA methylation in the whole blood and adipose tissue of veterans enrolled in the Air Force Health Study (AFHS). METHODS We received adipose tissue (n = 37) and whole blood (n = 42) from veterans in the AFHS. Study participants were grouped as having low, moderate, or high TCDD body burden based on their previously measured serum levels of dioxin. DNA methylation was assessed using the Illumina 450 K platform. RESULTS Epigenome-wide analysis indicated that there were no FDR-significantly methylated CpGs in either tissue with TCDD burden. However, 3 CpGs in the adipose tissue (contained within SLC9A3, LYNX1, and TNRC18) were marginally significantly (q < 0.1) hypomethylated, and 1 CpG in whole blood (contained within PTPRN2) was marginally significantly (q < 0.1) hypermethylated with high TCDD burden. Analysis for differentially methylated DNA regions yielded SLC9A3, among other regions in adipose tissue, to be significantly differentially methylated with higher TCDD burden. Comparing whole blood data to a study of dioxin exposed adults from Alabama identified a CpG within the gene SMO that was hypomethylated with dioxin exposure in both studies. CONCLUSION We found limited evidence of dioxin associated DNA methylation in adipose tissue and whole blood in this pilot study of Vietnam War veterans. Nevertheless, loci in the genes of SLC9A3 in adipose tissue, and PTPRN2 and SMO in whole blood, should be included in future exposure analyses.
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Affiliation(s)
- Matthew R. Rytel
- Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912 USA
| | - Rondi Butler
- Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912 USA
- Department of Pathology and Laboratory Medicine, Brown University School of Public Health, Providence, RI 02912 USA
| | - Melissa Eliot
- Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912 USA
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912 USA
| | - E. Andres Houseman
- Statistical Bioinformatics, GlaxoSmithKline, 1250 S Collegeville Rd, Collegeville, PA 19426 USA
| | - Karl T. Kelsey
- Department of Epidemiology, Brown University School of Public Health, Providence, RI 02912 USA
- Department of Pathology and Laboratory Medicine, Brown University School of Public Health, Providence, RI 02912 USA
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Evans L, Engelman M, Mikulas A, Malecki K. How are social determinants of health integrated into epigenetic research? A systematic review. Soc Sci Med 2021; 273:113738. [PMID: 33610974 PMCID: PMC8034414 DOI: 10.1016/j.socscimed.2021.113738] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 12/26/2020] [Accepted: 01/28/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE We systematically review the literature on social epigenetics, examining how empirical research to date has conceptualized and operationalized social determinants of health (SDOH). METHODS Using comprehensive search procedures, we identified studies that consider the impact of SDOH on DNA methylation (DNAm), the most common measure of epigenetic change in research on human adult populations. We analyzed the studies to determine: 1) which populations and environments have been investigated in the literature; 2) how SDOH are defined and operationalized; 3) which SDOH have been linked to DNAm; and 4) what lessons from the SDOH literature can be better integrated into future studies exploring the social determinants of health and epigenetic outcomes. RESULTS We identified 67 studies, with 39 to 8397 participants. The SDOH most commonly considered were early life socioeconomic exposures and early life trauma or mental health. Our review highlights four broad challenges: a) high dependence on convenience sampling, b) limited racial/ethnic, and geographic diversity in sampling frames, c) overreliance on individual sociodemographic characteristics as proxies for broader stratification processes, and d) a focus on downstream social determinants of health and individualized experiences with social stressors. CONCLUSIONS Future social epigenetics research should prioritize larger, more diverse and representative population-based samples and employ the SDOH framework to better inform the conceptualization of research questions and interpretation of findings. In particular, the simplified depiction of race/ethnicity, gender, and socioeconomic status as individual-level characteristics should be updated with an explicit acknowledgement that these characteristics are more accurately interpreted as cues used by society to differentiate subpopulations. Social epigenetics research can then more clearly elucidate the biological consequences of these social exposures for patterns of gene expression, subsequent disease etiology, and health inequities.
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Affiliation(s)
- Linnea Evans
- Center for Health Equity Research, Northern Arizona University, USA.
| | - Michal Engelman
- Department of Sociology, University of Wisconsin-Madison, USA
| | - Alex Mikulas
- Department of Sociology, University of Wisconsin-Madison, USA
| | - Kristen Malecki
- Department of Population Health Sciences, University of Wisconsin-Madison, USA
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Pittman GS, Wang X, Campbell MR, Coulter SJ, Olson JR, Pavuk M, Birnbaum LS, Bell DA. Dioxin-like compound exposures and DNA methylation in the Anniston Community Health Survey Phase II. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 742:140424. [PMID: 32629249 PMCID: PMC7574543 DOI: 10.1016/j.scitotenv.2020.140424] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/30/2020] [Accepted: 06/20/2020] [Indexed: 05/26/2023]
Abstract
The Anniston Community Health Survey (ACHS-I) was initially conducted from 2005 to 2007 to assess polychlorinated biphenyl (PCB) exposures in Anniston, Alabama residents. In 2014, a follow-up study (ACHS-II) was conducted to measure the same PCBs as in ACHS-I and additional compounds e.g., polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and dioxin-like non-ortho (cPCBs) substituted PCBs. In this epigenome-wide association study (EWAS), we examined the associations between PCDD, PCDF, and PCB exposures and DNA methylation. Whole blood DNA methylation was measured using Illumina EPIC arrays (n=292). We modeled lipid-adjusted toxic equivalencies (TEQs) for: ΣDioxins (sum of 28 PCDDs, PCDFs, cPCBs, and mPCBs), PCDDs, PCDFs, cPCBs, and mPCBs using robust multivariable linear regression adjusting for age, race, sex, smoking, bisulfite conversion batch, and estimated percentages of six blood cell types. Among all exposures we identified 10 genome-wide (Bonferroni p≤6.74E-08) and 116 FDR (p≤5.00E-02) significant associations representing 10 and 113 unique CpGs, respectively. Of the 10 genome-wide associations, seven (70%) occurred in the PCDDs and four (40%) of these associations had an absolute differential methylation ≥1.00%, based on the methylation difference between the highest and lowest exposure quartiles. Most of the associations (six, 60%) represented hypomethylation changes. Of the 10 unique CpGs, eight (80%) were in genes shown to be associated with dioxins and/or PCBs based on data from the 2019 Comparative Toxicogenomics Database. In this study, we have identified a set of CpGs in blood DNA that may be particularly susceptible to dioxin, furan, and dioxin-like PCB exposures.
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Affiliation(s)
- Gary S Pittman
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America
| | - Xuting Wang
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America.
| | - Michelle R Campbell
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America.
| | - Sherry J Coulter
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America.
| | - James R Olson
- University at Buffalo, Buffalo, NY 14214, United States of America.
| | - Marian Pavuk
- Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention, Atlanta, GA 30341, United States of America.
| | - Linda S Birnbaum
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America.
| | - Douglas A Bell
- National Institute of Environmental Health Sciences-National Institutes of Health, Research Triangle Park, NC 27709, United States of America.
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