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Scattolin D, Maso AD, Ferro A, Frega S, Bonanno L, Guarneri V, Pasello G. The emerging role of Schlafen-11 (SLFN11) in predicting response to anticancer treatments: Focus on small cell lung cancer. Cancer Treat Rev 2024; 128:102768. [PMID: 38797062 DOI: 10.1016/j.ctrv.2024.102768] [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: 04/03/2024] [Revised: 05/16/2024] [Accepted: 05/21/2024] [Indexed: 05/29/2024]
Abstract
Small cell lung cancer (SCLC) is characterized by a dismal prognosis. Many efforts have been made so far for identifying novel biomarkers for a personalized treatment for SCLC patients. Schlafen 11 (SLFN11) is a protein differently expressed in many cancers and recently emerged as a new potential biomarker. Lower expression of SLFN11 correlates with a worse prognosis in SCLC and other tumors. SLFN11 has a role in tumorigenesis, inducing replication arrest in the presence of DNA damage through the block of the replication fork. SLFN11 interacts also with chromatin accessibility, proteotoxic stress and mammalian target of rapamycin signalling pathway. The expression of SLFN11 is regulated by epigenetic mechanisms, including promoter methylation, histone deacetylation, and the histone methylation. The downregulation of SLFN11 correlates with a worse response to topoisomerase I and II inhibitors, alkylating agents, and poly ADP-ribose polymerase inhibitors in different cancer types. Some studies exploring strategies for overcoming drug resistance in tumors with low levels of SLFN11 showed promising results. One of these strategies includes the interaction with the Ataxia Telangiectasia and Rad3-related pathway, constitutively activated and leading to cell survival and tumor growth in the presence of low levels of SLFN11. Furthermore, the expression of SLFN11 is dynamic through time and different anticancer therapy and liquid biopsy seems to be an attractive tool for catching SLFN11 different expressions. Despite this, further investigations exploring SLFN11 as a predictive biomarker, its longitudinal changes, and new strategies to overcome drug resistances are needed.
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Affiliation(s)
- Daniela Scattolin
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | | | - Alessandra Ferro
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Stefano Frega
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - Laura Bonanno
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Valentina Guarneri
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Giulia Pasello
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
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2
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Cai X, Song Q, Meng X, Li K, Shi S, Jin L, Kan H, Wang S. Epigenome-wide association study on ambient PM 2.5 exposure in Han Chinese, the NSPT study. ENVIRONMENTAL RESEARCH 2024; 247:118276. [PMID: 38246299 DOI: 10.1016/j.envres.2024.118276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/02/2024] [Accepted: 01/18/2024] [Indexed: 01/23/2024]
Abstract
Ambient PM2.5 exposure has been recognized as a major health risk and related to aging, cardiovascular, respiratory and neurologic diseases, and cancer. However, underlying mechanism of epigenetic alteration and regulated pathways still remained unclear. The study on methylome effect of PM2.5 exposure was quite limited in Chinese population, and cohort-based study was absent. The study included blood-derived DNA methylation for 3365 Chinese participants from the NSPT cohort. We estimated individual PM2.5 exposure level of short-medium-, medium- and long-term, based on a validated prediction model. We preformed epigenome-wide association studies to estimate the links between PM2.5 exposure and DNA methylation change, as well as stratification and sensitive analysis to examined the robustness of the association models. A systematic review was conducted to obtain the previously published CpGs and examined for replication. We also conducted comparison on the DNA methylation variation corresponding to different time windows. We further conducted gene function analysis and pathway enrichment analysis to reveal related biological response. We identified a total of 177 CpGs and 107 DMRs associated with short-medium-term PM2.5 exposure, at a strict genome-wide significance (P < 5 × 10-8). The effect sizes on most CpGs tended to cease with the exposure of extended time scale. Associated markers and aligned genes were related to aging, immunity, inflammation and carcinogenesis. Enriched pathways were mostly involved in cell cycle and cell division, signal transduction, inflammatory pathway. Our study is the first EWAS on PM2.5 exposure conducted in large-scale Han Chinese cohort and identified associated DNA methylation change on CpGs and regions, as well as related gene functions and pathways.
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Affiliation(s)
- Xiyang Cai
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qinglin Song
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xia Meng
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Kaixuan Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Su Shi
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, and Human Phenome Institute, Fudan University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, 201102, China.
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China; Taizhou Institute of Health Sciences, Fudan University, Taizhou, Jiangsu, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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3
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Feng Y, Castro E, Wei Y, Jin T, Qiu X, Dominici F, Schwartz J. Long-term exposure to ambient PM2.5, particulate constituents and hospital admissions from non-respiratory infection. Nat Commun 2024; 15:1518. [PMID: 38374182 PMCID: PMC10876532 DOI: 10.1038/s41467-024-45776-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 02/05/2024] [Indexed: 02/21/2024] Open
Abstract
The association between PM2.5 and non-respiratory infections is unclear. Using data from Medicare beneficiaries and high-resolution datasets of PM2.5 and its constituents across 39,296 ZIP codes in the U.S between 2000 and 2016, we investigated the associations between annual PM2.5, PM2.5 constituents, source-specific PM2.5, and hospital admissions from non-respiratory infections. Each standard deviation (3.7-μg m-3) increase in PM2.5 was associated with a 10.8% (95%CI 10.8-11.2%) increase in rate of hospital admissions from non-respiratory infections. Sulfates (30.8%), Nickel (22.5%) and Copper (15.3%) contributed the largest weights in the observed associations. Each standard deviation increase in PM2.5 components sourced from oil combustion, coal burning, traffic, dirt, and regionally transported nitrates was associated with 14.5% (95%CI 7.6-21.8%), 18.2% (95%CI 7.2-30.2%), 20.6% (95%CI 5.6-37.9%), 8.9% (95%CI 0.3-18.4%) and 7.8% (95%CI 0.6-15.5%) increases in hospital admissions from non-respiratory infections. Our results suggested that non-respiratory infections are an under-appreciated health effect of PM2.5.
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Affiliation(s)
- Yijing Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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4
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Vozdova M, Kubickova S, Kopecka V, Pauciullo A, Rubes J. Impact of air pollution from different sources on sperm DNA methylation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-12. [PMID: 38282264 DOI: 10.1080/09603123.2024.2310152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
Abstract
Environmental exposure is associated with increased incidence of respiratory and cardiovascular diseases and reduced fertility. Exposure to air pollution can influence gene expression through epigenetic mechanisms. In this study, we analysed gene-specific CpG methylation in spermatozoa of city policemen occupationally exposed to air pollution in two Czech cities differing by sources and composition of the air pollution. In Prague, the pollution is mainly formed by NO2 from heavy traffic. Ostrava is a hotspot of industrial air pollution with high concentrations of particular matter (PM) and benzo[a]pyrene (B[a]P). We performed genome-wide methylation sequencing using the SureSelectXT Human Methyl-Seq system (Agilent Technologies) and next-generation sequencing to reveal differentially methylated CpG sites and regions. We identified differential methylation in the region chr5:662169 - 663376 annotated to genes CEP72 and TPPP. The region was then analysed in sperm DNA from 117 policemen using targeted methylation sequencing, which proved its hypermethylation in sperm of Ostrava policemen.
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Affiliation(s)
- Miluse Vozdova
- Department of Genetics and Reproductive Biotechnologies, Central European Institute of Technology - Veterinary Research Institute, Brno, Czech Republic
| | - Svatava Kubickova
- Department of Genetics and Reproductive Biotechnologies, Central European Institute of Technology - Veterinary Research Institute, Brno, Czech Republic
| | - Vera Kopecka
- Department of Genetics and Reproductive Biotechnologies, Central European Institute of Technology - Veterinary Research Institute, Brno, Czech Republic
| | - Alfredo Pauciullo
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, Torino, Italy
| | - Jiri Rubes
- Department of Genetics and Reproductive Biotechnologies, Central European Institute of Technology - Veterinary Research Institute, Brno, Czech Republic
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5
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Casella C, Kiles F, Urquhart C, Michaud DS, Kirwa K, Corlin L. Methylomic, Proteomic, and Metabolomic Correlates of Traffic-Related Air Pollution in the Context of Cardiorespiratory Health: A Systematic Review, Pathway Analysis, and Network Analysis. TOXICS 2023; 11:1014. [PMID: 38133415 PMCID: PMC10748071 DOI: 10.3390/toxics11121014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/18/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead to cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease and highlight contemporary challenges and opportunities associated with such efforts.
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Affiliation(s)
- Cameron Casella
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Frances Kiles
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Catherine Urquhart
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Dominique S. Michaud
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
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6
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Casella C, Kiles F, Urquhart C, Michaud DS, Kirwa K, Corlin L. Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.30.23296386. [PMID: 37873294 PMCID: PMC10592990 DOI: 10.1101/2023.09.30.23296386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease, and highlight contemporary challenges and opportunities associated with such efforts.
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Affiliation(s)
- Cameron Casella
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Frances Kiles
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Catherine Urquhart
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Dominique S. Michaud
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
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7
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Messingschlager M, Bartel-Steinbach M, Mackowiak SD, Denkena J, Bieg M, Klös M, Seegebarth A, Straff W, Süring K, Ishaque N, Eils R, Lehmann I, Lermen D, Trump S. Genome-wide DNA methylation sequencing identifies epigenetic perturbations in the upper airways under long-term exposure to moderate levels of ambient air pollution. ENVIRONMENTAL RESEARCH 2023; 233:116413. [PMID: 37343754 DOI: 10.1016/j.envres.2023.116413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/30/2023] [Accepted: 06/11/2023] [Indexed: 06/23/2023]
Abstract
While the link between exposure to high levels of ambient particulate matter (PM) and increased incidences of respiratory and cardiovascular diseases is widely recognized, recent epidemiological studies have shown that low PM concentrations are equally associated with adverse health effects. As DNA methylation is one of the main mechanisms by which cells regulate and stabilize gene expression, changes in the methylome could constitute early indicators of dysregulated signaling pathways. So far, little is known about PM-associated DNA methylation changes in the upper airways, the first point of contact between airborne pollutants and the human body. Here, we focused on cells of the upper respiratory tract and assessed their genome-wide DNA methylation pattern to explore exposure-associated early regulatory changes. Using a mobile epidemiological laboratory, nasal lavage samples were collected from a cohort of 60 adults that lived in districts with records of low (Simmerath) or moderate (Stuttgart) PM10 levels in Germany. PM10 concentrations were verified by particle measurements on the days of the sample collection and genome-wide DNA methylation was determined by enzymatic methyl sequencing at single-base resolution. We identified 231 differentially methylated regions (DMRs) between moderately and lowly PM10 exposed individuals. A high proportion of DMRs overlapped with regulatory elements, and DMR target genes were involved in pathways regulating cellular redox homeostasis and immune response. In addition, we found distinct changes in DNA methylation of the HOXA gene cluster whose methylation levels have previously been linked to air pollution exposure but also to carcinogenesis in several instances. The findings of this study suggest that regulatory changes in upper airway cells occur at PM10 levels below current European thresholds, some of which may be involved in the development of air pollution-related diseases.
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Affiliation(s)
- Marey Messingschlager
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Molecular Epidemiology Unit, Charitéplatz 1, 10117, Berlin, Germany; Freie Universität Berlin, Institute for Biology, Königin-Luise-Strasse 12-16, 14195, Berlin, Germany
| | - Martina Bartel-Steinbach
- Fraunhofer Institute for Biomedical Engineering IBMT, Josef-von-Fraunhofer-Weg 1, 66280, Sulzbach, Germany
| | - Sebastian D Mackowiak
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Johanna Denkena
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Bieg
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Klös
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Molecular Epidemiology Unit, Charitéplatz 1, 10117, Berlin, Germany
| | - Anke Seegebarth
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Molecular Epidemiology Unit, Charitéplatz 1, 10117, Berlin, Germany
| | - Wolfgang Straff
- Environmental Medicine and Health Effects Assessment, German Environment Agency, Corrensplatz 1, 14195, Berlin, Germany
| | - Katrin Süring
- Environmental Medicine and Health Effects Assessment, German Environment Agency, Corrensplatz 1, 14195, Berlin, Germany
| | - Naveed Ishaque
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Charitéplatz 1, 10117, Berlin, Germany
| | - Roland Eils
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Charitéplatz 1, 10117, Berlin, Germany; German Center for Lung Research (DZL), Germany; Health Data Science Unit, Heidelberg University Hospital and BioQuant, University of Heidelberg, Germany; Freie Universität Berlin, Department of Mathematics and Computer Science, Arnimallee 14, 14195, Berlin, Germany
| | - Irina Lehmann
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Molecular Epidemiology Unit, Charitéplatz 1, 10117, Berlin, Germany; German Center for Lung Research (DZL), Germany.
| | - Dominik Lermen
- Fraunhofer Institute for Biomedical Engineering IBMT, Josef-von-Fraunhofer-Weg 1, 66280, Sulzbach, Germany
| | - Saskia Trump
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Molecular Epidemiology Unit, Charitéplatz 1, 10117, Berlin, Germany
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8
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Wang C, Amini H, Xu Z, Peralta AA, Yazdi MD, Qiu X, Wei Y, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Baccarelli AA, Schwartz JD. Long-term exposure to ambient fine particulate components and leukocyte epigenome-wide DNA Methylation in older men: the Normative Aging Study. Environ Health 2023; 22:54. [PMID: 37550674 PMCID: PMC10405403 DOI: 10.1186/s12940-023-01007-5] [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: 02/08/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Epigenome-wide association studies of ambient fine particulate matter (PM2.5) have been reported. However, few have examined PM2.5 components (PMCs) and sources or included repeated measures. The lack of high-resolution exposure measurements is the key limitation. We hypothesized that significant changes in DNA methylation might vary by PMCs and the sources. METHODS We predicted the annual average of 14 PMCs using novel high-resolution exposure models across the contiguous U.S., between 2000-2018. The resolution was 50 m × 50 m in the Greater Boston Area. We also identified PM2.5 sources using positive matrix factorization. We repeatedly collected blood samples and measured leukocyte DNAm with the Illumina HumanMethylation450K BeadChip in the Normative Aging Study. We then used median regression with subject-specific intercepts to estimate the associations between long-term (one-year) exposure to PMCs / PM2.5 sources and DNA methylation at individual cytosine-phosphate-guanine CpG sites. Significant probes were identified by the number of independent degrees of freedom approach, using the number of principal components explaining > 95% of the variation of the DNA methylation data. We also performed regional and pathway analyses to identify significant regions and pathways. RESULTS We included 669 men with 1,178 visits between 2000-2013. The subjects had a mean age of 75 years. The identified probes, regions, and pathways varied by PMCs and their sources. For example, iron was associated with 6 probes and 6 regions, whereas nitrate was associated with 15 probes and 3 regions. The identified pathways from biomass burning, coal burning, and heavy fuel oil combustion sources were associated with cancer, inflammation, and cardiovascular diseases, whereas there were no pathways associated with all traffic. CONCLUSIONS Our findings showed that the effects of PM2.5 on DNAm varied by its PMCs and sources.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Heresh Amini
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Public Health, Faculty of Health and Medical Sciences, Section of Environmental Health, University of Copenhagen, Copenhagen, Denmark
| | - Zongli Xu
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
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9
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Shen Y, Kioumourtzoglou MA, Wu H, Vokonas P, Spiro A, Navas-Acien A, Baccarelli AA, Gao F. Cohort Network: A Knowledge Graph toward Data Dissemination and Knowledge-Driven Discovery for Cohort Studies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:8236-8244. [PMID: 37224396 PMCID: PMC10597774 DOI: 10.1021/acs.est.2c08174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Contemporary environmental health sciences draw on large-scale longitudinal studies to understand the impact of environmental exposures and behavior factors on the risk of disease and identify potential underlying mechanisms. In such studies, cohorts of individuals are assembled and followed up over time. Each cohort generates hundreds of publications, which are typically neither coherently organized nor summarized, hence limiting knowledge-driven dissemination. Hence, we propose a Cohort Network, a multilayer knowledge graph approach to extract exposures, outcomes, and their connections. We applied the Cohort Network on 121 peer-reviewed papers published over the past 10 years from the Veterans Affairs (VA) Normative Aging Study (NAS). The Cohort Network visualized connections between exposures and outcomes across different publications and identified key exposures and outcomes, such as air pollution, DNA methylation, and lung function. We demonstrated the utility of the Cohort Network for new hypothesis generation, e.g., identification of potential mediators of exposure-outcome associations. The Cohort Network can be used by investigators to summarize the cohort's research and facilitate knowledge-driven discovery and dissemination.
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Affiliation(s)
- Yike Shen
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Haotian Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Pantel Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Boston, Massachusetts 02130, United States
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts 02118, United States
| | - Avron Spiro
- VA Normative Aging Study, VA Boston Healthcare System, Boston, Massachusetts 02130, United States
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts 02118, United States
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts 02118, United States
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
| | - Feng Gao
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York 10032, United States
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10
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Wang C, Xu Z, Qiu X, Wei Y, Peralta AA, Yazdi MD, Jin T, Li W, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Sparrow D, Amarasiriwardena C, Wright RO, Baccarelli AA, Schwartz JD. Epigenome-wide DNA methylation in leukocytes and toenail metals: The normative aging study. ENVIRONMENTAL RESEARCH 2023; 217:114797. [PMID: 36379232 PMCID: PMC9825663 DOI: 10.1016/j.envres.2022.114797] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/27/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Environmental metal exposures have been associated with multiple deleterious health endpoints. DNA methylation (DNAm) may provide insight into the mechanisms underlying these relationships. Toenail metals are non-invasive biomarkers, reflecting a medium-term time exposure window. OBJECTIVES This study examined variation in leukocyte DNAm and toenail arsenic (As), cadmium (Cd), lead (Pb), manganese (Mn), and mercury (Hg) among elderly men in the Normative Aging Study, a longitudinal cohort. METHODS We repeatedly collected samples of blood and toenail clippings. We measured DNAm in leukocytes with the Illumina HumanMethylation450 K BeadChip. We first performed median regression to evaluate the effects of each individual toenail metal on DNAm at three levels: individual cytosine-phosphate-guanine (CpG) sites, regions, and pathways. Then, we applied a Bayesian kernel machine regression (BKMR) to assess the joint and individual effects of metal mixtures on DNAm. Significant CpGs were identified using a multiple testing correction based on the independent degrees of freedom approach for correlated outcomes. The approach considers the effective degrees of freedom in the DNAm data using the principal components that explain >95% variation of the data. RESULTS We included 564 subjects (754 visits) between 1999 and 2013. The numbers of significantly differentially methylated CpG sites, regions, and pathways varied by metals. For example, we found six significant pathways for As, three for Cd, and one for Mn. The As-associated pathways were associated with cancer (e.g., skin cancer) and cardiovascular disease, whereas the Cd-associated pathways were related to lung cancer. Metal mixtures were also associated with 47 significant CpG sites, as well as pathways, mainly related to cancer and cardiovascular disease. CONCLUSIONS This study provides an approach to understanding the potential epigenetic mechanisms underlying observed relations between toenail metals and adverse health endpoints.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Wenyuan Li
- School of Public Health and Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - David Sparrow
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA; Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Chitra Amarasiriwardena
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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11
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Duan R, Niu H, Dong F, Yu T, Li X, Wu H, Zhang Y, Yang T. Short-term exposure to fine particulate matter and genome-wide DNA methylation in chronic obstructive pulmonary disease: A panel study conducted in Beijing, China. Front Public Health 2023; 10:1069685. [PMID: 36684947 PMCID: PMC9850166 DOI: 10.3389/fpubh.2022.1069685] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/08/2022] [Indexed: 01/07/2023] Open
Abstract
Background Fine particulate matter (PM2.5) is a crucial risk factor for chronic obstructive pulmonary disease (COPD). However, the mechanisms whereby PM2.5 contribute to COPD risk have not been fully elucidated. Accumulating evidence suggests that epigenetics, including DNA methylation, play an important role in this process; however, the association between PM2.5 exposure and genome-wide DNA methylation in patients with COPD has not been studied. Objective To evaluate the association of personal exposure to PM2.5 and genome-wide DNA methylation changes in the peripheral blood of patients with COPD. Methods A panel study was conducted in Beijing, China. We repeatedly measured and collected personal PM2.5 data for 72 h. Genome-wide DNA-methylation of peripheral blood was analyzed using the Illumina Infinium Human Methylation BeadChip (850 k). A linear-mixed effect model was used to identify the differentially methylated probe (DMP) associated with PM2.5. Finally, we performed a functional enrichment analysis of the DMPs that were significantly associated with PM2.5. Results A total of 24 COPD patients were enrolled and 48 repeated DNA methylation measurements were associated in this study. When the false discovery rate was < 0.05, 19 DMPs were significantly associated with PM2.5 and were annotated to corresponding genes. Functional enrichment analysis of these genes showed that they were related to the response to toxic substances, regulation of tumor necrosis factor superfamily cytokine production, regulation of photosensitivity 3-kinase signaling, and other pathways. Conclusion This study provided evidence for a significant relationship between personal PM2.5 exposure and DNA methylation in patients with COPD. Our research also revealed a new biological pathway explaining the adverse effects of PM2.5 exposure on COPD risk.
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Affiliation(s)
- Ruirui Duan
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Hongtao Niu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Fen Dong
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Tao Yu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xuexin Li
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Hanna Wu
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yushi Zhang
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
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12
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Jin T, Amini H, Kosheleva A, Danesh Yazdi M, Wei Y, Castro E, Di Q, Shi L, Schwartz J. Associations between long-term exposures to airborne PM 2.5 components and mortality in Massachusetts: mixture analysis exploration. Environ Health 2022; 21:96. [PMID: 36221093 PMCID: PMC9552465 DOI: 10.1186/s12940-022-00907-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 09/14/2022] [Accepted: 10/02/2022] [Indexed: 05/05/2023]
Abstract
BACKGROUND Numerous studies have documented PM2.5's links with adverse health outcomes. Comparatively fewer studies have evaluated specific PM2.5 components. The lack of exposure measurements and high correlation among different PM2.5 components are two limitations. METHODS We applied a novel exposure prediction model to obtain annual Census tract-level concentrations of 15 PM2.5 components (Zn, V, Si, Pb, Ni, K, Fe, Cu, Ca, Br, SO42-, NO3-, NH4+, OC, EC) in Massachusetts from 2000 to 2015, to which we matched geocoded deaths. All non-accidental mortality, cardiovascular mortality, and respiratory mortality were examined for the population aged 18 or over. Weighted quantile sum (WQS) regression models were used to examine the cumulative associations between PM2.5 components mixture and outcomes and each component's contributions to the cumulative associations. We have fit WQS models on 15 PM2.5 components and a priori identified source groups (heavy fuel oil combustion, biomass burning, crustal matter, non-tailpipe traffic source, tailpipe traffic source, secondary particles from power plants, secondary particles from agriculture, unclear source) for the 15 PM2.5 components. Total PM2.5 mass analysis and single component associations were also conducted through quasi-Poisson regression models. RESULTS Positive cumulative associations between the components mixture and all three outcomes were observed from the WQS models. Components with large contribution to the cumulative associations included K, OC, and Fe. Biomass burning, traffic emissions, and secondary particles from power plants were identified as important source contributing to the cumulative associations. Mortality rate ratios for cardiovascular mortality were of greater magnitude than all non-accidental mortality and respiratory mortality, which is also observed in cumulative associations estimated from WQS, total PM2.5 mass analysis, and single component associations. CONCLUSION We have found positive associations between the mixture of 15 PM2.5 components and all non-accidental mortality, cardiovascular mortality, and respiratory mortality. Among these components, Fe, K, and OC have been identified as having important contribution to the cumulative associations. The WQS results also suggests potential source effects from biomass burning, traffic emissions, and secondary particles from power plants.
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Affiliation(s)
- Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Heresh Amini
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mahdieh Danesh Yazdi
- Department of Family, Population, & Preventive Medicine, Program in Public Health, Stony Brook University, New York, NY, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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13
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Poursafa P, Kamali Z, Fraszczyk E, Boezen HM, Vaez A, Snieder H. DNA methylation: a potential mediator between air pollution and metabolic syndrome. Clin Epigenetics 2022; 14:82. [PMID: 35773726 PMCID: PMC9245491 DOI: 10.1186/s13148-022-01301-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/01/2022] [Indexed: 01/19/2023] Open
Abstract
Given the global increase in air pollution and its crucial role in human health, as well as the steep rise in prevalence of metabolic syndrome (MetS), a better understanding of the underlying mechanisms by which environmental pollution may influence MetS is imperative. Exposure to air pollution is known to impact DNA methylation, which in turn may affect human health. This paper comprehensively reviews the evidence for the hypothesis that the effect of air pollution on the MetS is mediated by DNA methylation in blood. First, we present a summary of the impact of air pollution on metabolic dysregulation, including the components of MetS, i.e., disorders in blood glucose, lipid profile, blood pressure, and obesity. Then, we provide evidence on the relation between air pollution and endothelial dysfunction as one possible mechanism underlying the relation between air pollution and MetS. Subsequently, we review the evidence that air pollution (PM, ozone, NO2 and PAHs) influences DNA methylation. Finally, we summarize association studies between DNA methylation and MetS. Integration of current evidence supports our hypothesis that methylation may partly mediate the effect of air pollution on MetS.
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Affiliation(s)
- Parinaz Poursafa
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H Marike Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
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14
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Kim S, Hollinger H, Radke EG. 'Omics in environmental epidemiological studies of chemical exposures: A systematic evidence map. ENVIRONMENT INTERNATIONAL 2022; 164:107243. [PMID: 35551006 DOI: 10.1016/j.envint.2022.107243] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 03/25/2022] [Accepted: 04/10/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Systematic evidence maps are increasingly used to develop chemical risk assessments. These maps can provide an overview of available studies and relevant study information to be used for various research objectives and applications. Environmental epidemiological studies that examine the impact of chemical exposures on various 'omic profiles in human populations provide relevant mechanistic information and can be used for benchmark dose modeling to derive potential human health reference values. OBJECTIVES To create a systematic evidence map of environmental epidemiological studies examining environmental contaminant exposures with 'omics in order to characterize the extent of available studies for future research needs. METHODS Systematic review methods were used to search and screen the literature and included the use of machine learning methods to facilitate screening studies. The Populations, Exposures, Comparators and Outcomes (PECO) criteria were developed to identify and screen relevant studies. Studies that met the PECO criteria after full-text review were summarized with information such as study population, study design, sample size, exposure measurement, and 'omics analysis. RESULTS Over 10,000 studies were identified from scientific databases. Screening processes were used to identify 84 studies considered PECO-relevant after full-text review. Various contaminants (e.g. phthalate, benzene, arsenic, etc.) were investigated in epidemiological studies that used one or more of the four 'omics of interest: epigenomics, transcriptomics, proteomics, and metabolomics . The epidemiological study designs that were used to explore single or integrated 'omic research questions with contaminant exposures were cohort studies, controlled trials, cross-sectional, and case-control studies. An interactive web-based systematic evidence map was created to display more study-related information. CONCLUSIONS This systematic evidence map is a novel tool to visually characterize the available environmental epidemiological studies investigating contaminants and biological effects using 'omics technology and serves as a resource for investigators and allows for a range of applications in chemical research and risk assessment needs.
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Affiliation(s)
- Stephanie Kim
- Superfund and Emergency Management Division, Region 2, U.S. Environmental Protection Agency, NY, USA.
| | - Hillary Hollinger
- Office of Pollution Prevention and Toxics, U.S. Environmental Protection Agency, NC, USA.
| | - Elizabeth G Radke
- Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, D.C, USA.
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15
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Belsky DW, Caspi A, Corcoran DL, Sugden K, Poulton R, Arseneault L, Baccarelli A, Chamarti K, Gao X, Hannon E, Harrington HL, Houts R, Kothari M, Kwon D, Mill J, Schwartz J, Vokonas P, Wang C, Williams BS, Moffitt TE. DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife 2022; 11:e73420. [PMID: 35029144 PMCID: PMC8853656 DOI: 10.7554/elife.73420] [Citation(s) in RCA: 261] [Impact Index Per Article: 130.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/13/2021] [Indexed: 01/09/2023] Open
Abstract
Background Measures to quantify changes in the pace of biological aging in response to intervention are needed to evaluate geroprotective interventions for humans. Previously, we showed that quantification of the pace of biological aging from a DNA-methylation blood test was possible (Belsky et al., 2020). Here, we report a next-generation DNA-methylation biomarker of Pace of Aging, DunedinPACE (for Pace of Aging Calculated from the Epigenome). Methods We used data from the Dunedin Study 1972-1973 birth cohort tracking within-individual decline in 19 indicators of organ-system integrity across four time points spanning two decades to model Pace of Aging. We distilled this two-decade Pace of Aging into a single-time-point DNA-methylation blood-test using elastic-net regression and a DNA-methylation dataset restricted to exclude probes with low test-retest reliability. We evaluated the resulting measure, named DunedinPACE, in five additional datasets. Results DunedinPACE showed high test-retest reliability, was associated with morbidity, disability, and mortality, and indicated faster aging in young adults with childhood adversity. DunedinPACE effect-sizes were similar to GrimAge Clock effect-sizes. In analysis of incident morbidity, disability, and mortality, DunedinPACE and added incremental prediction beyond GrimAge. Conclusions DunedinPACE is a novel blood biomarker of the pace of aging for gerontology and geroscience. Funding This research was supported by US-National Institute on Aging grants AG032282, AG061378, AG066887, and UK Medical Research Council grant MR/P005918/1.
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Affiliation(s)
- Daniel W Belsky
- Department of Epidemiology & Butler Columbia Aging Center, Columbia UniversityNew YorkUnited States
| | - Avshalom Caspi
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Richie Poulton
- Department of Psychology, University of OtagoOtagoNew Zealand
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, King's College LondonLondonUnited Kingdom
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia UniversityNew YorkUnited States
| | - Kartik Chamarti
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Xu Gao
- Department of Occupational and Environmental Health, Peking UniversityBeijingChina
| | - Eilis Hannon
- Complex Disease Epigenetics Group, University of ExeterExeterUnited Kingdom
| | - Hona Lee Harrington
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Meeraj Kothari
- Robert N Butler Columbia Aging Center, Columbia UniversityBrooklynUnited States
| | - Dayoon Kwon
- Robert N Butler Columbia Aging Center, Columbia UniversityNew YorkUnited States
| | - Jonathan Mill
- Complex Disease Epigenetics Group, University of ExeterExeterUnited Kingdom
| | - Joel Schwartz
- Department of Environmental Health Sciences, Harvard TH Chan School of Public Health, Harvard UniversityBostonUnited States
| | - Pantel Vokonas
- Department of Medicine, VA Boston Healthcare SystemBostonUnited States
| | - Cuicui Wang
- Department of Environmental Health Sciences, Harvard TH Chan School of Public Health, Harvard UniversityBostonUnited States
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
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16
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Wang C, Cardenas A, Hutchinson JN, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Koutrakis P, Baccarelli AA, Schwartz JD. Short- and intermediate-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA methylation in older men: the Normative Aging Study. ENVIRONMENT INTERNATIONAL 2022; 158:106955. [PMID: 34717175 PMCID: PMC8710082 DOI: 10.1016/j.envint.2021.106955] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Several epigenome-wide association studies (EWAS) of ambient particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) have been reported. However, EWAS of PM2.5 elements (PEs), reflecting different emission sources, are very limited. OBJECTIVES We performed EWAS of short- and intermediate-term exposure to PM2.5 and 13 PEs. We hypothesized that significant changes in DNAm may vary by PM2.5 mass and its elements. METHODS We repeatedly collected blood samples in the Normative Aging Study and measured leukocyte DNA methylation (DNAm) with the Illumina HumanMethylation450K BeadChip. We collected daily PM2.5 and 13 PEs at a fixed central site. To estimate the associations between each PE and DNAm at individual cytosine-phosphate-guanine (CpG) sites, we incorporated a distributed-lag (0-27 d) term in the setting of median regression with subject-specific intercept and examined cumulative lag associations. We also accounted for selection bias due to loss to follow-up and mortality prior to enrollment. Significantly differentially methylated probes (DMPs) were identified using Bonferroni correction for multiple testing. We further conducted regional and pathway analyses to identify significantly differentially methylated regions (DMRs) and pathways. RESULTS We included 695 men with 1,266 visits between 1999 and 2013. The subjects had a mean age of 75 years. The significant DMPs, DMRs, and pathways varied by to PM2.5 total mass and PEs. For example, PM2.5 total mass was associated with 2,717 DMPs and 10,470 DMRs whereas Pb was associated with 3,173 DMPs and 637 DMRs. The identified pathways by PM2.5 mass were mostly involved in mood disorders, neuroplasticity, immunity, and inflammation, whereas the pathways associated with motor vehicles (BC, Cu, Pb, and Zn) were related with cardiovascular disease and cancer (e.g., "PPARs signaling"). CONCLUSIONS PM2.5 and PE were associated with methylation changes at multiple probes and along multiple pathways, in ways that varied by particle components.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - John N Hutchinson
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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17
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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: 22] [Impact Index Per Article: 7.3] [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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18
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Sun YV, Liu C, Staimez L, Ali MK, Chang H, Kondal D, Patel S, Jones D, Mohan V, Tandon N, Prabhakaran D, Quyyumi AA, Narayan KMV, Agrawal A. Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light? Wellcome Open Res 2021; 5:255. [PMID: 34136649 PMCID: PMC8176264 DOI: 10.12688/wellcomeopenres.16336.2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in South Asia, with rapidly increasing prevalence of hypertension, type 2 diabetes (T2DM) and hyperlipidemia over the last two decades. Atherosclerotic CVD (ASCVD) affects South Asians earlier in life and at lower body weights, which is not fully explained by differential burden of conventional risk factors. Heart failure (HF) is a complex clinical syndrome of heterogeneous structural phenotypes including two major clinical subtypes, HF with preserved (HFpEF) and reduced ejection fraction (HFrEF). The prevalence of HF in South Asians is also rising with other metabolic diseases, and HFpEF develops at younger age and leaner body mass index in South Asians than in Whites. Recent genome-wide association studies, epigenome-wide association studies and metabolomic studies of ASCVD and HF have identified genes, metabolites and pathways associated with CVD traits. However, these findings were mostly driven by samples of European ancestry, which may not accurately represent the CVD risk at the molecular level, and the unique risk profile of CVD in South Asians. Such bias, while formulating hypothesis-driven research studies, risks missing important causal or predictive factors unique to South Asians. Importantly, a longitudinal design of multi-omic markers can capture the life-course risk and natural history related to CVD, and partially disentangle putative causal relationship between risk factors, multi-omic markers and subclinical and clinical ASCVD and HF. In conclusion, combining high-resolution untargeted metabolomics with epigenomics of rigorous, longitudinal design will provide comprehensive unbiased molecular characterization of subclinical and clinical CVD among South Asians. A thorough understanding of CVD-associated metabolomic profiles, together with advances in epigenomics and genomics, will lead to more accurate estimates of CVD progression and stimulate new strategies for improving cardiovascular health.
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Affiliation(s)
- Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.,Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Chang Liu
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Lisa Staimez
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.,Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Howard Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | | | - Shivani Patel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Dean Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, 30322, USA
| | | | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Arshed A Quyyumi
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - K M Venkat Narayan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Anurag Agrawal
- Institute of Genomics and Integrative Biology, Council of Scientific and Industrial Research, New Delhi, India
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19
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Liang Y, Hu L, Li J, Liu F, Jones KC, Li D, Liu J, Chen D, You J, Yu Z, Zhang G, Dong G, Ma H. Short-term personal PM 2.5 exposure and change in DNA methylation of imprinted genes: Panel study of healthy young adults in Guangzhou city, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 275:116601. [PMID: 33549891 DOI: 10.1016/j.envpol.2021.116601] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/22/2021] [Accepted: 01/24/2021] [Indexed: 05/28/2023]
Abstract
DNA methylation (DNAm) plays a significant role in deleterious health effects inflicted by fine particulate matter (PM2.5) on the human body. Recent studies have reported that DNAm of imprinted control regions (ICRs) in imprinted genes may be a sensitive biomarker of environmental exposure. Less is known about specific biomarkers of imprinted genes after PM2.5 exposure. The relationship between PM2.5 and its chemical constituents and DNAm of ICRs in imprinted genes after short-term exposure was investigated to determine specific human biomarkers of its adverse health effects. A panel study was carried out in healthy young people in Guangzhou, China. Mixed-effects models were used to evaluate the influence of PM2.5 and its constituent exposure on DNAm while controlling for potential confounders. There was no significant correlation between DNAm and personal PM2.5 exposure mass. DNAm changes in eight ICRs (L3MBTL1, NNAT, PEG10, GNAS Ex1A, MCTS2, SNURF/SNRPN, IGF2R, and RB1) and a non-imprinted gene (CYP1B1) were significantly associated with PM2.5 constituents. Compared to non-imprinted genes, imprinted gene methylation was more susceptible to interference with PM2.5 constituent exposure. Among those genes, L3MBTL1 was the most sensitive to personal PM2.5 constituent exposure. Moreover, transition metals derived from traffic sources (Cd, Fe, Mn, and Ni) significantly influenced DNAm of the imprinted genes, suggesting the importance of more targeted measures to reduce toxic constituents. Bioinformatics analysis indicated that imprinted genes (RB1) may be correlated with pathways and diseases (non-small cell lung cancer, glioma, and bladder cancer). The present study suggests that screening the imprinted gene for DNAm can be used as a sensitive biomarker of PM2.5 exposure. The results will provide data for prevention of PM2.5 exposure and a novel perspective on potential mechanisms on an epigenetic level.
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Affiliation(s)
- Yaohui Liang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liwen Hu
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Fei Liu
- School of Business Administration, South China University of Technology, Guangzhou, 510641, China
| | - Kevin C Jones
- Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom
| | - Daochuan Li
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jing Liu
- Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Duohong Chen
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Jing You
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom.
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20
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Goodrich JM, Furlong MA, Caban-Martinez AJ, Jung AM, Batai K, Jenkins T, Beitel S, Littau S, Gulotta J, Wallentine D, Hughes J, Popp C, Calkins MM, Burgess JL. Differential DNA Methylation by Hispanic Ethnicity Among Firefighters in the United States. Epigenet Insights 2021; 14:25168657211006159. [PMID: 35036834 PMCID: PMC8756104 DOI: 10.1177/25168657211006159] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 03/02/2021] [Indexed: 01/04/2023] Open
Abstract
Firefighters are exposed to a variety of environmental hazards and are at increased risk for multiple cancers. There is evidence that risks differ by ethnicity, yet the biological or environmental differences underlying these differences are not known. DNA methylation is one type of epigenetic regulation that is altered in cancers. In this pilot study, we profiled DNA methylation with the Infinium MethylationEPIC in blood leukocytes from 31 Hispanic white and 163 non-Hispanic white firefighters. We compared DNA methylation (1) at 12 xenobiotic metabolizing genes and (2) at all loci on the array (>740 000), adjusting for confounders. Five of the xenobiotic metabolizing genes were differentially methylated at a raw P-value <.05 when comparing the 2 ethnic groups, yet were not statistically significant at a 5% false discovery rate (q-value <.05). In the epigenome-wide analysis, 76 loci exhibited DNA methylation differences at q < .05. Among these, 3 CpG sites in the promoter region of the biotransformation gene SULT1C2 had lower methylation in Hispanic compared to non-Hispanic firefighters. Other differentially methylated loci included genes that have been implicated in carcinogenesis in published studies (FOXK2, GYLTL1B, ZBTB16, ARHGEF10, and more). In this pilot study, we report differential DNA methylation between Hispanic and non-Hispanic firefighters in xenobiotic metabolism genes and other genes with functions related to cancer. Epigenetic susceptibility by ethnicity merits further study as this may alter risk for cancers linked to toxic exposures.
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Affiliation(s)
- Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA,Jaclyn M Goodrich, Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Melissa A Furlong
- Department of Community, Environment and Policy, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
| | - Alberto J Caban-Martinez
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Alesia M Jung
- Department of Epidemiology and Biostatistics, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
| | - Ken Batai
- Department of Urology, University of Arizona, Tucson, AZ, USA
| | - Timothy Jenkins
- Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT, USA
| | - Shawn Beitel
- Department of Community, Environment and Policy, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
| | - Sally Littau
- Department of Community, Environment and Policy, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
| | | | | | - Jeff Hughes
- Orange County Fire Authority, Irvine, CA, USA
| | | | - Miriam M Calkins
- National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH, USA
| | - Jefferey L Burgess
- Department of Community, Environment and Policy, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, AZ, USA
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21
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Effects of vanadium (sodium metavanadate) and aflatoxin-B1 on cytochrome p450 activities, DNA damage and DNA methylation in human liver cell lines. Toxicol In Vitro 2020; 70:105036. [PMID: 33164849 DOI: 10.1016/j.tiv.2020.105036] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/13/2020] [Accepted: 10/20/2020] [Indexed: 01/15/2023]
Abstract
Vanadium is considered as "possibly carcinogenic to humans" (V2O5, IARC Group 2B), yet uncertainties persist related to the toxicity mechanisms of the multiple forms of vanadium. Exposure to vanadium often co-occurs with other metals or with organic compounds that can be transformed by cytochrome p450 (CYP) enzymes into DNA-reactive carcinogens. Therefore, effects of a soluble form of vanadium (sodium metavanadate, NaVO3) and aflatoxin-B1 (AFB1) were tested separately and together, for induction of CYP activities, DNA damage (γH2AX and DNA alkaline unwinding assays), and DNA methylation changes (global genome and DNA repeats) in HepaRG or HepG2 liver cell lines. NaVO3 (≥ 2.3 μM) reduced CYP1A1 and CYP3A4 activities and induced DNA damage, butcaused important cell proliferation only in HepaRG cells. As a binary mixture, NaVO3 did not modify the effects of AFB1. There was no reproducible effect of NaVO3 (<21 μM) on DNA methylation in AluYb8, satellite-α, satellite-2, and by the luminometric methylation assay, but DNA methylation flow-cytometry signals in HepG2 cells (25-50 μM) increased at the G1 and G2 cell cycle phases. In conclusion, cell lines responded differently to NaVO3 supporting the importance of investigating more than one cell line, and a carcinogenic role of NaVO3 might reside at low concentrations by stimulating the proliferation of tumorigenic cells.
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22
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Sun YV, Liu C, Staimez L, Ali MK, Chang H, Kondal D, Patel S, Jones D, Mohan V, Tandon N, Prabhakaran D, Quyyumi AA, Narayan KMV, Agrawal A. Cardiovascular disease risk and pathophysiology in South Asians: can longitudinal multi-omics shed light? Wellcome Open Res 2020; 5:255. [DOI: 10.12688/wellcomeopenres.16336.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 11/20/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in South Asia, with rapidly increasing prevalence of hypertension, type 2 diabetes and hyperlipidemia over the last two decades. Atherosclerotic CVD (ASCVD) affects South Asians earlier in life and at lower body weights, which is not fully explained by differential burden of conventional risk factors. Heart failure (HF) is a complex clinical syndrome of heterogeneous structural phenotypes including two major clinical subtypes, HF with preserved (HFpEF) and reduced ejection fraction (HFrEF). The prevalence of HF in South Asians is also rising with other metabolic diseases, and HFpEF develops at younger age and leaner body mass index in South Asians than in Whites. Recent genome-wide association studies, epigenome-wide association studies and metabolomic studies of ASCVD and HF have identified genes, metabolites and pathways associated with CVD traits. However, these findings were mostly driven by samples of European ancestry, which may not accurately represent the CVD risk at the molecular level, and the unique risk profile of CVD in South Asians. Such bias, while formulating hypothesis-driven research studies, risks missing important causal or predictive factors unique to South Asians. Importantly, a longitudinal design of multi-omic markers can capture the life-course risk and natural history related to CVD, and partially disentangle putative causal relationship between risk factors, multi-omic markers and subclinical and clinical ASCVD and HF. In conclusion, combining high-resolution untargeted metabolomics with epigenomics of rigorous, longitudinal design will provide comprehensive unbiased molecular characterization of subclinical and clinical CVD among South Asians. A thorough understanding of CVD-associated metabolomic profiles, together with advances in epigenomics and genomics, will lead to more accurate estimates of CVD progression and stimulate new strategies for improving cardiovascular health.
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23
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Schuller A, Montrose L. Influence of Woodsmoke Exposure on Molecular Mechanisms Underlying Alzheimer's Disease: Existing Literature and Gaps in Our Understanding. Epigenet Insights 2020; 13:2516865720954873. [PMID: 32974607 PMCID: PMC7493275 DOI: 10.1177/2516865720954873] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 08/10/2020] [Indexed: 12/24/2022] Open
Abstract
Woodsmoke poses a significant health risk as a growing component of ambient air pollution in the United States. While there is a long history of association between woodsmoke exposure and diseases of the respiratory, circulatory, and cardiovascular systems, recent evidence has linked woodsmoke exposure to cognitive dysfunction, including Alzheimer’s disease dementia. Alzheimer’s disease is a progressive neurodegenerative disorder with largely idiopathic origins and no known cure. Here, we explore the growing body of literature which relates woodsmoke-generated and ambient air pollution particulate matter exposure to Alzheimer’s disease (AD) onset or exacerbation, in the context of an inflammation-centric view of AD. Epigenetic modifications, specifically changes in DNA methylation patterns, are well documented following woodsmoke exposure and have been shown to influence disease-favoring inflammatory cascades, induce oxidative stress, and modulate the immune response in vitro, in vivo, and in humans following exposure to air pollution. Though the current status of the literature does not allow us to draw definitive conclusions linking these events, this review highlights the need for additional work to fill gaps in our understanding of the directionality, causality, and susceptibility throughout the life course.
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Affiliation(s)
- Adam Schuller
- Department of Community and Environmental Health, Boise State University, Boise, Idaho, USA
| | - Luke Montrose
- Department of Community and Environmental Health, Boise State University, Boise, Idaho, USA
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24
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Wang B, Li R, Cai Y, Li B, Qin S, Zheng K, Zeng M, Xiao F, Zhang Z, Xu X. Alteration of DNA methylation induced by PM 2.5 in human bronchial epithelial cells. Toxicol Res (Camb) 2020; 9:552-560. [PMID: 32905279 PMCID: PMC7467236 DOI: 10.1093/toxres/tfaa061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 07/14/2020] [Accepted: 07/19/2020] [Indexed: 12/26/2022] Open
Abstract
This current study explored the effects of fine particulate matter (PM2.5) on deoxyribonucleic acid methylation in human bronchial epithelial cells. Human bronchial epithelial cells were exposed to PM2.5 for 24 h after which, deoxyribonucleic acid samples were extracted, and the differences between methylation sites were detected using methylation chips. Subsequent gene ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for the differential methylation sites. Functional epigenetic modules analysis of the overall differential methylation site interactions was also conducted. A total of 127 differential methylation sites in 89 genes were screened in the PM2.5 10 μg/ml group, of which 55 sites demonstrated increased methylation, with methylation levels decreasing in a further 72 sites. Following an exposure of 50 μg/ml PM2.5, a total of 238 differentially methylated sites were screened in 168 genes, of which methylation levels increased in 127 sites, and decreased in 111. KEGG analysis showed that the top 10 enrichment pathways predominantly involve hepatocellular carcinoma pathways and endometrial cancer pathways, whereas functional epigenetic modules analysis screened eight genes (A2M, IL23A, TPIP6, IL27, MYD88, ILE2B, NLRC4, TNF) with the most interactions. Our results indicate that exposure to PM2.5 for 24 h in human bronchial epithelial cells induces marked changes in deoxyribonucleic acid methylation of multiple genes involved in apoptosis and carcinogenesis pathways, these findings can provide a new direction for further study of PM2.5 carcinogenic biomarkers.
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Affiliation(s)
- Bingyu Wang
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Runbing Li
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Ying Cai
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Boru Li
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Shuangjian Qin
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Kai Zheng
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Ming Zeng
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Fang Xiao
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Zhaohui Zhang
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Xinyun Xu
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
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25
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Wang C, Just A, Heiss J, Coull BA, Hou L, Zheng Y, Sparrow D, Vokonas PS, Baccarelli A, Schwartz J. Biomarkers of aging and lung function in the normative aging study. Aging (Albany NY) 2020; 12:11942-11966. [PMID: 32561690 PMCID: PMC7343502 DOI: 10.18632/aging.103363] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/20/2020] [Indexed: 12/17/2022]
Abstract
Elderly individuals who are never smokers but have the same height and chronological age can have substantial differences in lung function. The underlying biological mechanisms are unclear. To evaluate the associations of different biomarkers of aging (BoA) and lung function, we performed a repeated-measures analysis in the Normative Aging Study using linear mixed-effect models. We generated GrimAgeAccel, PhenoAgeAccel, extrinsic and intrinsic epigenetic age acceleration using a publically available online calculator. We calculated Zhang's DNAmRiskScore based on 10 CpGs. We measured telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN) using quantitative real-time polymerase chain reaction. A pulmonary function test was performed measuring forced expiratory volume in 1 second / forced vital capacity (FEV1/FVC), FEV1, and maximum mid-expiratory flow (MMEF). Epigenetic-based BoA were associated with lower lung function. For example, a one-year increase in GrimAgeAccel was associated with a 13.64 mL [95% confidence interval (CI), 5.11 to 22.16] decline in FEV1; a 0.2 increase in Zhang's DNAmRiskScore was associated with a 0.009 L/s (0.005 to 0.013) reduction in MMEF. No association was found between TL/mtDNA-CN and lung function. Overall, this paper shows that epigenetics might be a potential mechanism underlying pulmonary dysfunction in the elderly.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - David Sparrow
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Pantel S Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Andrea Baccarelli
- Department of Epidemiology and Environmental Health Sciences, Columbia University, New York, NY 10027, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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26
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Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL, Gao X, Hannon E, Harrington HL, Rasmussen LJH, Houts R, Huffman K, Kraus WE, Kwon D, Mill J, Pieper CF, Prinz JA, Poulton R, Schwartz J, Sugden K, Vokonas P, Williams BS, Moffitt TE. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. eLife 2020; 9:e54870. [PMID: 32367804 PMCID: PMC7282814 DOI: 10.7554/elife.54870] [Citation(s) in RCA: 214] [Impact Index Per Article: 53.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 04/22/2020] [Indexed: 12/11/2022] Open
Abstract
Biological aging is the gradual, progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the pace of aging are needed as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging. We report a blood-DNA-methylation measure that is sensitive to variation in pace of biological aging among individuals born the same year. We first modeled change-over-time in 18 biomarkers tracking organ-system integrity across 12 years of follow-up in n = 954 members of the Dunedin Study born in 1972-1973. Rates of change in each biomarker over ages 26-38 years were composited to form a measure of aging-related decline, termed Pace-of-Aging. Elastic-net regression was used to develop a DNA-methylation predictor of Pace-of-Aging, called DunedinPoAm for Dunedin(P)ace(o)f(A)ging(m)ethylation. Validation analysis in cohort studies and the CALERIE trial provide proof-of-principle for DunedinPoAm as a single-time-point measure of a person's pace of biological aging.
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Affiliation(s)
- Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public HealthNew YorkUnited States
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Avshalom Caspi
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Xu Gao
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - Eiliss Hannon
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Hona Lee Harrington
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Line JH Rasmussen
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Clinical Research Centre, Copenhagen University Hospital Amager and HvidovreHvidovreDenmark
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Kim Huffman
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - Dayoon Kwon
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Jonathan Mill
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Carl F Pieper
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
- Department of Biostatistics, Duke University School of MedicineDurhamUnited States
| | - Joseph A Prinz
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Richie Poulton
- Department of Psychology and Dunedin Multidisciplinary Health and Development Research Unit, University of OtagoOtagoNew Zealand
| | - Joel Schwartz
- Department of Environmental Health Sciences, Harvard TH Chan School of Public HealthBostonUnited States
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of MedicineBostonUnited States
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Terrie E Moffitt
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
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Wang C, Koutrakis P, Gao X, Baccarelli A, Schwartz J. Associations of annual ambient PM 2.5 components with DNAm PhenoAge acceleration in elderly men: The Normative Aging Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 258:113690. [PMID: 31818625 PMCID: PMC7044052 DOI: 10.1016/j.envpol.2019.113690] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 11/10/2019] [Accepted: 11/27/2019] [Indexed: 05/24/2023]
Abstract
Current studies indicate that long-term exposure to ambient fine particulate matter (PM2.5) is related with global mortality, yet no studies have explored relationships of PM2.5 and its species with DNAm PhenoAge acceleration (DNAmPhenoAccel), a new epigenetic biomarker of phenotypic age. We identified which PM2.5 species had association with DNAmPhenoAccel in a one-year exposure window in a longitudinal cohort. We collected whole blood samples from 683 elderly men in the Normative Aging Study between 1999 and 2013 (n = 1254 visits). DNAm PhenoAge was calculated using 513 CpGs retrieved from the Illumina Infinium HumanMethylation450 BeadChip. Daily concentrations of PM2.5 species were measured at a fixed air-quality monitoring site and one-year moving averages were computed. Linear mixed-effect (LME) regression and Bayesian kernel machine (BKM) regression were used to estimate the associations. The covariates included chronological age, body mass index (BMI), cigarette pack years, smoking status, estimated cell types, batch effects etc. Benjamini-Hochberg false discovery rate at a 5% false positive threshold was used to adjust for multiple comparison. During the study period, the mean DNAm PhenoAge and chronological age in our subjects were 68 and 73 years old, respectively. Using LME model, only lead and calcium were significantly associated with DNAmPhenoAccel. For example, an interquartile range (IQR, 0.0011 μg/m3) increase in lead was associated with a 1.29-year [95% confidence interval (CI): 0.47, 2.11] increase in DNAmPhenoAccel. Using BKM model, we selected PM2.5, lead, and silicon to be predictors for DNAmPhenoAccel. A subsequent LME model showed that only lead had significant effect on DNAmPhenoAccel: 1.45-year (95% CI: 0.46, 2.46) increase in DNAmPhenoAccel following an IQR increase in one-year lead. This is the first study that investigates long-term effects of PM2.5 components on DNAmPhenoAccel. The results demonstrate that lead and calcium contained in PM2.5 was robustly associated with DNAmPhenoAccel.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Xu Gao
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
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Research on PM2.5 Integrated Prediction Model Based on Lasso-RF-GAM. DATA MINING AND BIG DATA 2020. [PMCID: PMC7351685 DOI: 10.1007/978-981-15-7205-0_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Gao X, Colicino E, Shen J, Just AC, Nwanaji-Enwerem JC, Wang C, Coull B, Lin X, Vokonas P, Zheng Y, Hou L, Schwartz J, Baccarelli AA. Accelerated DNA methylation age and the use of antihypertensive medication among older adults. Aging (Albany NY) 2019; 10:3210-3228. [PMID: 30414594 PMCID: PMC6286862 DOI: 10.18632/aging.101626] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/27/2018] [Indexed: 02/07/2023]
Abstract
The discrepancy of DNA methylation age (DNAmAge) with chronological age (termed as age acceleration, AA) has been identified to be associated with many aging-related health outcomes including hypertension. Since taking antihypertensive medication (AHM) could prevent aging-related diseases caused by hypertension, we hypothesized that using AHM could also reduce the AA. We examined this hypothesis among 546 males aged 55–85 years by exploring the associations of AHM use with AA and its change rate (ΔAA) in two visits with a median follow-up of 3.86 years. Horvath DNAmAge was derived from DNA methylation profiles measured by Illumina HumanMethylation450 BeadChip and information on AHM use was collected by physician interview. A general decreasing pattern of AA was observed between the two visits. After the fully adjusting for potential covariates including hypertension, any AHM use showed a cross-sectional significant association with higher AA at each visit, as well as a longitudinal association with increased ΔAA between visits. Particularly, relative to participants who never took any AHM, individuals with continuous AHM use had a higher ΔAA of 0.6 year/chronological year. This finding underlines that DNAmAge and AA may not be able to capture the preventive effects of AHMs that reduce cardiovascular risks and mortality.
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Affiliation(s)
- Xu Gao
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jincheng Shen
- Department of Population Health Sciences, University of Utah, School of Medicine, Salt Lake City, UT 84132, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jamaji C Nwanaji-Enwerem
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
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Saenen ND, Martens DS, Neven KY, Alfano R, Bové H, Janssen BG, Roels HA, Plusquin M, Vrijens K, Nawrot TS. Air pollution-induced placental alterations: an interplay of oxidative stress, epigenetics, and the aging phenotype? Clin Epigenetics 2019; 11:124. [PMID: 31530287 PMCID: PMC6749657 DOI: 10.1186/s13148-019-0688-z] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 05/27/2019] [Indexed: 01/04/2023] Open
Abstract
According to the "Developmental Origins of Health and Disease" (DOHaD) concept, the early-life environment is a critical period for fetal programming. Given the epidemiological evidence that air pollution exposure during pregnancy adversely affects newborn outcomes such as birth weight and preterm birth, there is a need to pay attention to underlying modes of action to better understand not only these air pollution-induced early health effects but also its later-life consequences. In this review, we give an overview of air pollution-induced placental molecular alterations observed in the ENVIRONAGE birth cohort and evaluate the existing evidence. In general, we showed that prenatal exposure to air pollution is associated with nitrosative stress and epigenetic alterations in the placenta. Adversely affected CpG targets were involved in cellular processes including DNA repair, circadian rhythm, and energy metabolism. For miRNA expression, specific air pollution exposure windows were associated with altered miR-20a, miR-21, miR-146a, and miR-222 expression. Early-life aging markers including telomere length and mitochondrial DNA content are associated with air pollution exposure during pregnancy. Previously, we proposed the air pollution-induced telomere-mitochondrial aging hypothesis with a direct link between telomeres and mitochondria. Here, we extend this view with a potential co-interaction of different biological mechanisms on the level of placental oxidative stress, epigenetics, aging, and energy metabolism. Investigating the placenta is an opportunity for future research as it may help to understand the fundamental biology underpinning the DOHaD concept through the interactions between the underlying modes of action, prenatal environment, and disease risk in later life. To prevent lasting consequences from early-life exposures of air pollution, policy makers should get a basic understanding of biomolecular consequences and transgenerational risks.
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Affiliation(s)
- N. D. Saenen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - D. S. Martens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - K. Y. Neven
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - R. Alfano
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - H. Bové
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - B. G. Janssen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - H. A. Roels
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - M. Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - K. Vrijens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - T. S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
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31
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Bhargava A, Shukla A, Bunkar N, Shandilya R, Lodhi L, Kumari R, Gupta PK, Rahman A, Chaudhury K, Tiwari R, Goryacheva IY, Mishra PK. Exposure to ultrafine particulate matter induces NF-κβ mediated epigenetic modifications. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 252:39-50. [PMID: 31146237 DOI: 10.1016/j.envpol.2019.05.065] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/13/2019] [Accepted: 05/13/2019] [Indexed: 06/09/2023]
Abstract
Exposure to ultrafine particulate matter (PM0.1) is positively associated with the etiology of different acute and chronic disorders; however, the in-depth biological imprints that link these submicron particles with the disturbances in the epigenomic machinery are not well defined. Earlier, we showed that exposure to these particles causes significant disturbances in the mitochondrial machinery and triggers PI-3-kinase mediated DNA damage responses. In the present study, we aimed to further understand the epigenomic insights of the ultrafine PM exposure. The higher levels of intracellular reactive oxygen species and depleted Nrf-2 in ultrafine PM exposed cells reconfirmed its potential to induce oxidative stress. Importantly, the observed increase in the levels of NF-κβ and associated cytokines among exposed cells suggested the activation of NF-κβ mediated inflammatory loop which potentially serves as a platform for initiating epigenetic insinuations. This fact was strongly supported by the altered miRNA expression profile of the ultrafine PM exposed cells. These NF-κβ induced miRNA alterations were also found to be associated with other epigenetic targets as the exposed cells showed higher expression levels of DNA methyltransferases which positively corresponded with the global changes in DNA methylation levels. Upon further analysis, significant alterations in histone code were also reported in ultrafine PM exposed cells. Conclusively our results suggested that NF-κβ acts as an inflammatory switch that possesses the potential to induce genome-wide epigenetic modification upon ultrafine PM exposure.
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Affiliation(s)
- Arpit Bhargava
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Anushi Shukla
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Neha Bunkar
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Ruchita Shandilya
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Lalit Lodhi
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Roshani Kumari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Pushpendra Kumar Gupta
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Akhlaqur Rahman
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Koel Chaudhury
- School of Medical Science & Technology, Indian Institute of Technology, Kharagpur, India
| | - Rajnarayan Tiwari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Irina Yu Goryacheva
- Department of General and Inorganic Chemistry, Saratov State University, Saratov, Russia
| | - Pradyumna Kumar Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
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Yang X, Zhao T, Feng L, Shi Y, Jiang J, Liang S, Sun B, Xu Q, Duan J, Sun Z. PM 2.5-induced ADRB2 hypermethylation contributed to cardiac dysfunction through cardiomyocytes apoptosis via PI3K/Akt pathway. ENVIRONMENT INTERNATIONAL 2019; 127:601-614. [PMID: 30986742 DOI: 10.1016/j.envint.2019.03.057] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Long-term exposure to fine particulate matter (PM2.5) can causally contribute to progression of atherosclerosis, risk of ischemic heart disease and death, but the underlying mechanism is little known. Since DNA methylation impacts the process of heart disease, it might be useful in exploring potential mechanistic pathways linking PM2.5 exposure and heart disease. OBJECTIVES Here, we investigated the PM2.5-induced ADRB2 hypermethylation and the involving epigenetic mechanism of PM2.5-induced cardiomyocytes apoptosis and cardiac dysfunction. METHODS AND RESULTS In vitro, PM2.5 markedly augmented cardiotoxicity including oxidative damage and apoptosis in cardiomyocytes AC16 as well as epigenetic alteration. DNA methylation profiling revealed a significant gene-ADRB2 was involved in the cardiac relative GO and KEGG pathways. Methylation chip and Bisulfite Sequencing PCR (BSP) both identified the hypermethylation status of ADRB2 which encodes β2-Adrenergic receptor (β2AR). Mechanistic study showed ADRB2 hypermethylation-induced down-regulation of β2AR inhibited PI3K/Akt and then activated Bcl-2/BAX and p53 pathway in AC16. The transgenic cell lines showed over-expression of ADRB2 weakened the PM2.5-induced cardiomyocytes apoptosis in opposite way, but was augmented by PI3K inhibitor (LY294002). In vivo, echocardiography showed the heart contractile function was decreased after SD rats intratracheal instillation of PM2.5 for 30 days. The myocardial interstitial edema, myocardial gap expansion and myofibril disorder in PM2.5 treated group were observed in rats heart tissue. What's more, basal expression of β2AR and VEGFR2 decreased in heart tissue as the dosage of PM2.5 increasing, meanwhile PM2.5 markedly attenuated PI3K/Akt pathway followed by augmented Bcl-2/BAX and p53 pathway, thus caused a greater number of TUNEL positive cardiomyocytes resulted in cardiac dysfunction in vivo. CONCLUSIONS PM2.5 exposure could cause the myocardial ADRB2 hypermethylation and activate the β2AR/PI3K/Akt pathway, resulted in PM2.5-induced cardiomyocytes apoptosis and cardiac dysfunction. Our study suggested that the ADRB2 demethylation or ADRB2/β2AR activation may serve as a potential pathway to prevent cardiac dysfunction induced by PM2.5 exposure.
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Affiliation(s)
- Xiaozhe Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tong Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Lin Feng
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yanfeng Shi
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Jinjin Jiang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Shuang Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Baiyang Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Qing Xu
- Core Facilities for Electrophysiology, Core Facilities Center, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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Cortés-Pereira E, Fernández-Tajes J, Fernández-Moreno M, Vázquez-Mosquera ME, Relaño S, Ramos-Louro P, Durán-Sotuela A, Dalmao-Fernández A, Oreiro N, Blanco FJ, Rego-Pérez I. Differential Association of Mitochondrial DNA Haplogroups J and H With the Methylation Status of Articular Cartilage: Potential Role in Apoptosis and Metabolic and Developmental Processes. Arthritis Rheumatol 2019; 71:1191-1200. [PMID: 30747498 DOI: 10.1002/art.40857] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 02/07/2019] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To analyze the influence of mitochondrial genome variation on the DNA methylome of articular cartilage. METHODS DNA methylation profiling was performed using data deposited in the NCBI Gene Expression Omnibus database (accession no. GSE43269). Data were obtained for 14 cartilage samples from subjects with haplogroup J and 20 cartilage samples from subjects with haplogroup H. Subsequent validation was performed in an independent subset of 7 subjects with haplogroup J and 9 with haplogroup H by RNA-seq. Correlated genes were validated by real-time polymerase chain reaction in an independent cohort of 12 subjects with haplogroup J and 12 with haplogroup H. Appropriate analyses were performed using R Bioconductor and qBasePlus software, and gene ontology analysis was conducted using DAVID version 6.8. RESULTS DNA methylation profiling revealed 538 differentially methylated loci, while whole-transcriptome profiling identified 2,384 differentially expressed genes, between cartilage samples from subjects with haplogroup H and those with haplogroup J. Seventeen genes showed an inverse correlation between methylation and expression. In terms of gene ontology, differences in correlations between methylation and expression were also detected between cartilage from subjects with haplogroup H and those with haplogroup J, highlighting a significantly enhanced apoptotic process in cartilage from subjects with haplogroup H (P = 0.007 for methylation and P = 0.019 for expression) and repressed apoptotic process in cartilage from subjects with haplogroup J (P = 0.021 for methylation), as well as a significant enrichment of genes related to metabolic processes (P = 1.93 × 10-4 for methylation and P = 6.79 x 10-4 for expression) and regulation of gene expression (P = 0.012 for methylation) in cartilage from subjects with haplogroup H, and to developmental processes (P = 0.015 for methylation and P = 8.25 x 10-12 for expression) in cartilage from subjects with haplogroup J. CONCLUSION Mitochondrial DNA variation differentially associates with the methylation status of articular cartilage by acting on key mechanisms involved in osteoarthritis, such as apoptosis and metabolic and developmental processes.
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Affiliation(s)
- Estefanía Cortés-Pereira
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | | | | | - María E Vázquez-Mosquera
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Sara Relaño
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Paula Ramos-Louro
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Alejandro Durán-Sotuela
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Andrea Dalmao-Fernández
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Natividad Oreiro
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Francisco J Blanco
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
| | - Ignacio Rego-Pérez
- Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), and Universidade da Coruña, A Coruña, Spain
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Shukla A, Bunkar N, Kumar R, Bhargava A, Tiwari R, Chaudhury K, Goryacheva IY, Mishra PK. Air pollution associated epigenetic modifications: Transgenerational inheritance and underlying molecular mechanisms. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 656:760-777. [PMID: 30530146 DOI: 10.1016/j.scitotenv.2018.11.381] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 10/23/2018] [Accepted: 11/25/2018] [Indexed: 05/28/2023]
Abstract
Air pollution is one of the leading causes of deaths in Southeast Asian countries including India. Exposure to air pollutants affects vital cellular mechanisms and is intimately linked with the etiology of a number of chronic diseases. Earlier work from our laboratory has shown that airborne particulate matter disturbs the mitochondrial machinery and causes significant damage to the epigenome. Mitochondrial reactive oxygen species possess the ability to trigger redox-sensitive signaling mechanisms and induce irreversible epigenomic changes. The electrophilic nature of reactive metabolites can directly result in deprotonation of cytosine at C-5 position or interfere with the DNA methyltransferases activity to cause alterations in DNA methylation. In addition, it also perturbs level of cellular metabolites critically involved in different epigenetic processes like acetylation and methylation of histone code and DNA hypo or hypermethylation. Interestingly, these modifications may persist through downstream generations and result in the transgenerational epigenomic inheritance. This phenomenon of subsequent transfer of epigenetic modifications is mainly associated with the germ cells and relies on the germline stability of the epigenetic states. Overall, the recent literature supports, and arguably strengthens, the contention that air pollution might contribute to transmission of epimutations from gametes to zygotes by involving mitochondrial DNA, parental allele imprinting, histone withholding and non-coding RNAs. However, larger prospective studies using innovative, integrated epigenome-wide metabolomic strategy are highly warranted to assess the air pollution induced transgenerational epigenetic inheritance and associated human health effects.
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Affiliation(s)
- Anushi Shukla
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Neha Bunkar
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Rajat Kumar
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Arpit Bhargava
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Rajnarayan Tiwari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India
| | - Koel Chaudhury
- School of Medical Science & Technology, Indian Institute of Technology, Kharagpur, India
| | - Irina Y Goryacheva
- Department of General and Inorganic Chemistry, Saratov State University, Saratov, Russia
| | - Pradyumna K Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
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Shi Y, Zhao T, Yang X, Sun B, Li Y, Duan J, Sun Z. PM 2.5-induced alteration of DNA methylation and RNA-transcription are associated with inflammatory response and lung injury. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 650:908-921. [PMID: 30308865 DOI: 10.1016/j.scitotenv.2018.09.085] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 08/09/2018] [Accepted: 09/06/2018] [Indexed: 06/08/2023]
Abstract
The mechanisms of systemic pulmonary inflammation and toxicity of fine particulate matter (PM2.5) exposure remains unclear. The current study investigated the inflammatory response and lung toxicity of PM2.5 in rats following intratracheal instillation of PM2.5. After repeated (treated every 3 days for 30 days) PM2.5 exposure, total protein (TP), lactate dehydrogenase (LDH) activity and inflammatory cytokines including interleukin 6 (IL-6), interleukin 1β (IL-1β) and tumor necrosis factor α (TNF-α) levels in bronchoalveolar lavage fluid (BALF) were markedly elevated. The expression levels of IL-6, IL-1β, TNF-α and NF-κB in rat lung tissue and BEAS-2B cells were significantly upregulated after PM2.5 exposure. Histopathological evaluation suggested that the major pathological changes were alveolar wall thickening and inflammatory cell infiltration of the lungs. Genome wide DNA methylation and RNA-transcription analysis was performed on human bronchial epithelial cells (BEAS-2B) to explore the potential mechanisms in vitro. PM2.5 induced genome wide DNA methylation and transcription changes. Differentially methylated CpGs were located in gene promoter region linked with CpG islands. Integrated analysis with DNA methylation and transcription data indicated a clear bias toward transcriptional alteration by differential methylation. Disease ontology of differentially methylated and expressed genes addressed their prominent role in respiratory disease. Functional enrichment revealed their involvement in inflammation or immune response, cellular community, cellular motility, cell growth, development and differentiation, signal transduction and responses to exogenous stimuli. Gene expression validation of ACTN4, CXCL1, MARK2, ABR, PSEN1, PSMA3, PSMD1 verified their functional participation in critical biological processes and supported the microarray bioinformatics analysis. Collectively, our data shows that PM2.5 induced genome wide methylome and transcriptome alterations that could be involved in pulmonary toxicity and pathological process of respiratory disease, providing new insight into the toxicity mechanisms of PM2.5.
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Affiliation(s)
- Yanfeng Shi
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tong Zhao
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Xiaozhe Yang
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Baiyang Sun
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yang Li
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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Yang X, Feng L, Zhang Y, Shi Y, Liang S, Zhao T, Sun B, Duan J, Sun Z. Integrative analysis of methylome and transcriptome variation of identified cardiac disease-specific genes in human cardiomyocytes after PM 2.5 exposure. CHEMOSPHERE 2018; 212:915-926. [PMID: 30286548 DOI: 10.1016/j.chemosphere.2018.09.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 07/29/2018] [Accepted: 09/02/2018] [Indexed: 06/08/2023]
Abstract
PM2.5 exposure is strongly linked to cardiac disease. Subtle epigenetic or transcriptional alterations induced by PM2.5 might contribute to pathogenesis and disease susceptibility of cardiac disease. It is still a major challenge to identify biological targets in human genetics. Human cardiomyocytes AC16 was chosen as cell model. Epigenetic effect of PM2.5 in AC16 was analyzed using Illumina HumanMethylation 450 K BeadChip. Meanwhile the transcriptomic profiling was performed by Affymetrix® microarray. PM2.5 induced genome wide variation of DNA methylation pattern, including differentially methylated CpGs in promoter region. Then gene ontology analysis demonstrated differentially methylated genes were significantly clustered in pathways in regulation of apoptotic process, cell death and metabolic pathways, or associated with ion binding and shuttling. Correlation of the methylome and transcriptome revealed a clear bias toward transcriptional suppression by hypermethylation or activation by hypomethylation. Identified 386 genes which exhibited both differential methylation and expression were functionally associated with pathways including cardiovascular system development, regulation of blood vessel size, vasculature development, p53 pathway, AC-modulating/inhibiting GPCRs pathway and cellular response to metal ion/inorganic substance. Disease ontology demonstrated their prominent role in cardiac diseases and identified 14 cardiac-specific genes (ANK2, AQP1 et al.). PPI network analysis revealed 6 novel genes (POLR2I, LEP, BRIX1, ADCY6, INSL3, RARS). Those genes were then verified by qRT-PCR. Thus, in AC16, PM2.5 alters the methylome and transcriptome of genes might be relevant for PM2.5-/heart-associated diseases. Result gives additional insight in PM2.5 relative cardiac diseases/associated genes and the potential mechanisms that contribute to PM2.5 related cardiac disease.
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Affiliation(s)
- Xiaozhe Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Lin Feng
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yannan Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yanfeng Shi
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Shuang Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tong Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Baiyang Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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Alfano R, Herceg Z, Nawrot TS, Chadeau-Hyam M, Ghantous A, Plusquin M. The Impact of Air Pollution on Our Epigenome: How Far Is the Evidence? (A Systematic Review). Curr Environ Health Rep 2018; 5:544-578. [PMID: 30361985 DOI: 10.1007/s40572-018-0218-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW This systematic review evaluated existing evidence linking air pollution exposure in humans to major epigenetic mechanisms: DNA methylation, microRNAs, long noncoding RNAs, and chromatin regulation. RECENT FINDINGS Eighty-two manuscripts were eligible, most of which were observational (85%), conducted in adults (66%) and based on DNA methylation (79%). Most observational studies, except panel, demonstrated modest effects of air pollution on the methylome. Panel and experimental studies revealed a relatively large number of significant methylome alterations, though based on smaller sample sizes. Particulate matter levels were positively associated in several studies with global or LINE-1 hypomethylation, a hallmark of several diseases, and with decondensed chromatin structure. Several air pollution species altered the DNA methylation clock, inducing accelerated biological aging. The causal nature of identified associations is not clear, however, especially that most originate from countries with low air pollution levels. Existing evidence, gaps, and perspectives are highlighted herein.
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Affiliation(s)
- Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), 150 Cours Albert-Thomas, 69008, Lyon, France
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Environment & Health Unit, Leuven University, Leuven, Belgium
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer (IARC), 150 Cours Albert-Thomas, 69008, Lyon, France.
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.
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Li H, Chen R, Cai J, Cui X, Huang N, Kan H. Short-term exposure to fine particulate air pollution and genome-wide DNA methylation: A randomized, double-blind, crossover trial. ENVIRONMENT INTERNATIONAL 2018; 120:130-136. [PMID: 30081103 DOI: 10.1016/j.envint.2018.07.041] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/16/2018] [Accepted: 07/27/2018] [Indexed: 05/21/2023]
Abstract
BACKGROUND Previous studies have associated fine particulate (PM2.5) exposure with changes in gene-specific DNA methylation. However, the evidence was still limited and inconsistent in genome-wide DNA methylation. OBJECTIVE To examine the impact of short-term PM2.5 exposure on genome-wide DNA methylation. METHODS We designed a randomized, double-blind, crossover trial among 36 healthy young adults in Shanghai, China. A two-stage intervention with alternative use of real and sham air purifiers in dormitory rooms for consecutive 9 days were conducted to create natural low and high exposure scenarios of PM2.5. Blood genome-wide DNA methylation was analyzed using the Illumina Infinium Human Methylation EPIC BeadChip (850k). Mixed-effect models were used to evaluate the impacts of changes in PM2.5 levels on genome-wide DNA methylation. RESULTS There was a drastic contrast for PM2.5 exposure levels in the two scenarios (24-h averages: 53.1 and 24.3 μg/m3). Between the high and low exposure groups, methylation levels were changed significantly with a false discovery rate < 0.01 at 49 CpG loci, of which 31 CpG sites were annotated to the specific genes. DNA methylation of these annotated genes were elevated in response to increased PM2.5 exposure, which were implicated in insulin resistance, glucose and lipid metabolism, inflammation, oxidative stress, platelet activation, and cell survival and apoptosis. CONCLUSIONS Our results provided novel biological pathways linking ambient PM2.5 exposure to systemic adverse response through variations in DNA methylation and reinforced the hypothesized role of epigenetics in the development of cardiometabolic diseases induced by PM2.5 exposure.
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Affiliation(s)
- Huichu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Xiao Cui
- Unilever Research and Development Centre, Shanghai, Shanghai 200335, China
| | - Nan Huang
- Unilever Research and Development Centre, Shanghai, Shanghai 200335, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Parenthood Research, Institute of Reproduction and Development, Fudan University, Shanghai 200032, China.
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39
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Sun B, Shi Y, Yang X, Zhao T, Duan J, Sun Z. DNA methylation: A critical epigenetic mechanism underlying the detrimental effects of airborne particulate matter. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2018; 161:173-183. [PMID: 29883871 DOI: 10.1016/j.ecoenv.2018.05.083] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 05/20/2018] [Accepted: 05/29/2018] [Indexed: 06/08/2023]
Abstract
Exposure to airborne particulate matter (PM) does great harm to the health of human beings. To date, PM exposure has been closely associated with respiratory and cardiovascular diseases, as well as some types of cancer. As the associations of PM with the adverse health effects are well documented in literatures, the underlying mechanisms have not been completely clarified. With the field of epigenetics rising in recent years, PM-associated epigenetic alterations have gradually turned into the hot research topic. DNA methylation is one of the earliest-discovered and best-studied epigenetic mechanisms, of which the alteration can influence the transcription initiation of genes. A number of studies have been published to demonstrate that PM exposure is linked with DNA methylation patterns in the human genome. DNA methylation is the potential regulator of the biological effects of PM exposure. In the present review, DNA methylation related to PM exposure was elaborated on genome-wide and gene-specific methylation. In particular, genome-wide DNA methylation was composed of the alterations in global methylation content and genome-wide methylation profile; gene-specific methylation included the methylation changes in mechanism-related and disease-specific genes. Representative epidemiological and experimental studies were cited to elucidate the viewpoints, focusing on both PM-related methylation changes and the mediating effects of DNA methylation between PM and the health impacts. This review will provide advantageous clues for subsequent studies on the DNA methylation in relation to PM exposure.
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Affiliation(s)
- Baiyang Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yanfeng Shi
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Xiaozhe Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tong Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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40
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Meehan RR, Thomson JP, Lentini A, Nestor CE, Pennings S. DNA methylation as a genomic marker of exposure to chemical and environmental agents. Curr Opin Chem Biol 2018; 45:48-56. [PMID: 29505975 DOI: 10.1016/j.cbpa.2018.02.006] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 02/07/2018] [Accepted: 02/12/2018] [Indexed: 02/06/2023]
Abstract
Recent progress in interpreting comprehensive genetic and epigenetic profiles for human cellular states has contributed new insights into the developmental origins of disease, elucidated novel signalling pathways and enhanced drug discovery programs. A similar comprehensive approach to decoding the epigenetic readouts from chemical challenges in vivo would yield new paradigms for monitoring and assessing environmental exposure in model systems and humans.
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Affiliation(s)
- Richard R Meehan
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK.
| | - John P Thomson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK
| | - Antonio Lentini
- Department of Clinical and Experimental Medicine, Linköping University, Linköping SE 58183, Sweden
| | - Colm E Nestor
- Department of Clinical and Experimental Medicine, Linköping University, Linköping SE 58183, Sweden.
| | - Sari Pennings
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, EH16 4TJ, UK.
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Guillaume B, Wang C, Poh J, Shen MJ, Ong ML, Tan PF, Karnani N, Meaney M, Qiu A. Improving mass-univariate analysis of neuroimaging data by modelling important unknown covariates: Application to Epigenome-Wide Association Studies. Neuroimage 2018; 173:57-71. [PMID: 29448075 DOI: 10.1016/j.neuroimage.2018.01.073] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 01/03/2018] [Accepted: 01/28/2018] [Indexed: 10/18/2022] Open
Abstract
Statistical inference on neuroimaging data is often conducted using a mass-univariate model, equivalent to fitting a linear model at every voxel with a known set of covariates. Due to the large number of linear models, it is challenging to check if the selection of covariates is appropriate and to modify this selection adequately. The use of standard diagnostics, such as residual plotting, is clearly not practical for neuroimaging data. However, the selection of covariates is crucial for linear regression to ensure valid statistical inference. In particular, the mean model of regression needs to be reasonably well specified. Unfortunately, this issue is often overlooked in the field of neuroimaging. This study aims to adopt the existing Confounder Adjusted Testing and Estimation (CATE) approach and to extend it for use with neuroimaging data. We propose a modification of CATE that can yield valid statistical inferences using Principal Component Analysis (PCA) estimators instead of Maximum Likelihood (ML) estimators. We then propose a non-parametric hypothesis testing procedure that can improve upon parametric testing. Monte Carlo simulations show that the modification of CATE allows for more accurate modelling of neuroimaging data and can in turn yield a better control of False Positive Rate (FPR) and Family-Wise Error Rate (FWER). We demonstrate its application to an Epigenome-Wide Association Study (EWAS) on neonatal brain imaging and umbilical cord DNA methylation data obtained as part of a longitudinal cohort study. Software for this CATE study is freely available at http://www.bioeng.nus.edu.sg/cfa/Imaging_Genetics2.html.
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Affiliation(s)
- Bryan Guillaume
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | - Changqing Wang
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | - Joann Poh
- Department of Biomedical Engineering, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Mo Jun Shen
- Department of Biomedical Engineering, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Mei Lyn Ong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Pei Fang Tan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Neerja Karnani
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Michael Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Canada; Sackler Program for Epigenetics and Psychobiology at McGill University, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; Clinical Imaging Research Centre, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore.
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Lei X, Muscat JE, Zhang B, Sha X, Xiu G. Differentially DNA methylation changes induced in vitro by traffic-derived nanoparticulate matter. Toxicology 2018; 395:54-62. [DOI: 10.1016/j.tox.2017.11.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 10/16/2017] [Accepted: 11/02/2017] [Indexed: 12/12/2022]
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Nwanaji-Enwerem JC, Colicino E, Dai L, Di Q, Just AC, Hou L, Vokonas P, De Vivo I, Lemos B, Lu Q, Weisskopf MG, Baccarelli AA, Schwartz JD. miRNA processing gene polymorphisms, blood DNA methylation age and long-term ambient PM 2.5 exposure in elderly men. Epigenomics 2017; 9:1529-1542. [PMID: 29106301 PMCID: PMC5704092 DOI: 10.2217/epi-2017-0094] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 09/06/2017] [Indexed: 01/26/2023] Open
Abstract
AIM We tested whether genetic variation in miRNA processing genes modified the association of PM2.5 with DNA methylation (DNAm) age. PATIENTS & METHODS We conducted a repeated measures study based on 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). Address-level 1-year PM2.5 exposures were estimated using the GEOS-chem model. DNAm-age and a panel of 14 SNPs in miRNA processing genes were measured from participant blood samples. RESULTS & CONCLUSION In fully adjusted linear mixed-effects models, having at least one copy of the minor rs4961280 [AGO2] allele was associated with a lower DNAm-age (β = -1.13; 95% CI: -2.26 to -0.002). However, the association of PM2.5 with DNAm-age was significantly (Pinteraction = 0.01) weaker in homozygous carriers of the major rs4961280 [AGO2] allele (β = 0.38; 95% CI: -0.20 to 0.96) when compared with all other participants (β = 1.58; 95% CI: 0.76 to 2.39). Our results suggest that miRNA processing impacts DNAm-age relationships. Graphical abstract: miRNA processing AGO2 polymorphism (rs4961280) modifies the association of long-term ambient fine particle exposure with blood DNA methylation age [Formula: see text] The graph depicts lines from a fully adjusted linear regression model with fine particle exposure levels ranging from the tenth to the ninetieth percentile, all other continuous variables held constant at their means, and all other categorical variables held at their most frequent level.
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Affiliation(s)
| | - Elena Colicino
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Lingzhen Dai
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qian Di
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Allan C Just
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lifang Hou
- Center for Population Epigenetics, Department of Preventive Medicine, Robert H Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pantel Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System & the Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bernardo Lemos
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Quan Lu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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44
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Nwanaji-Enwerem JC, Colicino E, Dai L, Cayir A, Sanchez-Guerra M, Laue HE, Nguyen VT, Di Q, Just AC, Hou L, Vokonas P, Coull BA, Weisskopf MG, Baccarelli AA, Schwartz JD. Impacts of the Mitochondrial Genome on the Relationship of Long-Term Ambient Fine Particle Exposure with Blood DNA Methylation Age. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:8185-8195. [PMID: 28636816 PMCID: PMC5555236 DOI: 10.1021/acs.est.7b02409] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The mitochondrial genome has long been implicated in age-related disease, but no studies have examined its role in the relationship of long-term fine particle (PM2.5) exposure and DNA methylation age (DNAm-age)-a novel measure of biological age. In this analysis based on 940 observations between 2000 and 2011 from 552 Normative Aging Study participants, we determined the roles of mitochondrial DNA haplogroup variation and mitochondrial genome abundance in the relationship of PM2.5 with DNAm-age. We used the GEOS-chem transport model to estimate address-specific, one-year PM2.5 levels for each participant. DNAm-age and mitochondrial DNA markers were measured from participant blood samples. Nine haplogroups (H, I, J, K, T, U, V, W, and X) were present in the population. In fully adjusted linear mixed-effects models, the association of PM2.5 with DNAm-age (in years) was significantly diminished in carriers of haplogroup V (Pinteraction = 0.01; β = 0.18, 95%CI: -0.41, 0.78) compared to noncarriers (β = 1.25, 95%CI: 0.58, 1.93). Mediation analysis estimated that decreases in mitochondrial DNA copy number, a measure of mitochondrial genome abundance, mediated 12% of the association of PM2.5 with DNAm-age. Our data suggests that the mitochondrial genome plays a role in DNAm-age relationships particularly in the context of long-term PM2.5 exposure.
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Affiliation(s)
- Jamaji C. Nwanaji-Enwerem
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Elena Colicino
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA, 10032
| | - Lingzhen Dai
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Akin Cayir
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
- Vocational Health College, Canakkale Onsekiz Mart University, Canakkale, Turkey, 17100
| | - Marco Sanchez-Guerra
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
- Department of Developmental Neurobiology, National Institute of Perinatology, Mexico City, Mexico, 11000
| | - Hannah E. Laue
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA, 10032
| | - Vy T. Nguyen
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Qian Di
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA, 10029
| | - Lifang Hou
- Center for Population Epigenetics, Department of Preventive Medicine, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA, 60611
| | - Pantel Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA, 02118
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Marc G. Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA, 10032
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA, 02115
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