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Fazakas E, Neamtiu IA, Gurzau ES. Health effects of air pollutant mixtures (volatile organic compounds, particulate matter, sulfur and nitrogen oxides) - a review of the literature. REVIEWS ON ENVIRONMENTAL HEALTH 2024; 39:459-478. [PMID: 36932657 DOI: 10.1515/reveh-2022-0252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
The health risks associated with individual air pollutant exposures have been studied and documented, but in real-life, the population is exposed to a multitude of different substances, designated as mixtures. A body of literature on air pollutants indicated that the next step in air pollution research is investigating pollutant mixtures and their potential impacts on health, as a risk assessment of individual air pollutants may actually underestimate the overall risks. This review aims to synthesize the health effects related to air pollutant mixtures containing selected pollutants such as: volatile organic compounds, particulate matter, sulfur and nitrogen oxides. For this review, the PubMed database was used to search for articles published within the last decade, and we included studies assessing the associations between air pollutant mixtures and health effects. The literature search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A number of 110 studies were included in the review from which data on pollutant mixtures, health effects, methods used, and primary results were extracted. Our review emphasized that there are a relatively small number of studies addressing the health effects of air pollutants as mixtures and there is a gap in knowledge regarding the health effects associated with these mixtures. Studying the health effects of air pollutant mixtures is challenging due to the complexity of components that mixtures may contain, and the possible interactions these different components may have.
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Affiliation(s)
- Emese Fazakas
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Iulia A Neamtiu
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Eugen S Gurzau
- Health Department, Environmental Health Center, Cluj-Napoca, Romania
- Research Center for functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Qiao JC, Sun LJ, Zhang MY, Gui SY, Wang XC, Hu CY. Association between ambient particulate matter exposure and mitochondrial DNA copy number: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171423. [PMID: 38442762 DOI: 10.1016/j.scitotenv.2024.171423] [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: 10/27/2023] [Revised: 02/24/2024] [Accepted: 02/29/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Ambient particulate matter (PM) has been recognized as inducing oxidative stress, which could contribute to mitochondrial damage and dysfunction. However, studies investigating the association between ambient PM and mitochondria, particularly mitochondrial DNA copy number (mtDNA-CN), have yielded inconsistent results. METHODS We conducted comprehensive literature searches to identify observational studies published before July 17, 2023, examining the association between ambient PM exposure and mtDNA-CN. Meta-analysis using random effects model was employed to calculate the pooled effect estimates for general individual exposures, as well as for prenatal exposure with specific trimester. Additionally, the quality and level of evidence for each exposure-outcome pair was evaluated. RESULTS A total of 10 studies were included in the systematic review and meta-analysis. The results indicated that general individual exposure to PM2.5 (β = -0.084, 95 % CI: -0.521, 0.353; I2 = 93 %) and PM10 (β = 0.035, 95 % CI: -0.129, 0.199; I2 = 95 %) did not significantly affect mtDNA-CN. Prenatal exposure to PM2.5 (β = 0.023, 95 % CI: -0.087, 0.133; I2 = 0 %) and PM10 (β = 0.006, 95 % CI: -0.135; 0.147; I2 = 51 %) were also not significantly associated with mtDNA-CN in offspring. The level of evidence for each tested exposure-outcome pair was assessed as "inadequate." CONCLUSIONS The findings of this systematic review and meta-analysis indicate that there is an "inadequate" strength of evidence for the association between general individual or prenatal exposure to ambient PM and mtDNA-CN. Future research necessitates studies with more rigorous design, enhanced control of confounding factors, and improved measures of exposure to substantiate our findings.
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Affiliation(s)
- Jian-Chao Qiao
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Liang-Jie Sun
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Meng-Yue Zhang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Si-Yu Gui
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei 230601, China
| | - Xin-Chen Wang
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei 230601, China
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States; Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei 230032, China.
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Hong YS, Battle SL, Puiu D, Shi W, Pankratz N, Zhao D, Arking DE, Guallar E. Long-Term Air Pollution Exposure and Mitochondrial DNA Copy Number: An Analysis of UK Biobank Data. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:57703. [PMID: 37192320 DOI: 10.1289/ehp11946] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Affiliation(s)
- Yun Soo Hong
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Stephanie L Battle
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Wen Shi
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Di Zhao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Rehman A, Kumari R, Kamthan A, Tiwari R, Srivastava RK, van der Westhuizen FH, Mishra PK. Cell-free circulating mitochondrial DNA: An emerging biomarker for airborne particulate matter associated with cardiovascular diseases. Free Radic Biol Med 2023; 195:103-120. [PMID: 36584454 DOI: 10.1016/j.freeradbiomed.2022.12.083] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
The association of airborne particulate matter exposure with the deteriorating function of the cardiovascular system is fundamentally driven by the impairment of mitochondrial-nuclear crosstalk orchestrated by aberrant redox signaling. The loss of delicate balance in retrograde communication from mitochondria to the nucleus often culminates in the methylation of the newly synthesized strand of mitochondrial DNA (mtDNA) through DNA methyl transferases. In highly metabolic active tissues such as the heart, mtDNA's methylation state alteration impacts mitochondrial bioenergetics. It affects transcriptional regulatory processes involved in biogenesis, fission, and fusion, often accompanied by the integrated stress response. Previous studies have demonstrated a paradoxical role of mtDNA methylation in cardiovascular pathologies linked to air pollution. A pronounced alteration in mtDNA methylation contributes to systemic inflammation, an etiological determinant for several co-morbidities, including vascular endothelial dysfunction and myocardial injury. In the current article, we evaluate the state of evidence and examine the considerable promise of using cell-free circulating methylated mtDNA as a predictive biomarker to reduce the more significant burden of ambient air pollution on cardiovascular diseases.
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Affiliation(s)
- Afreen Rehman
- 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.
| | - Arunika Kamthan
- 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.
| | | | | | - Pradyumna Kumar Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
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Rahman MM, Carter SA, Lin JC, Chow T, Yu X, Martinez MP, Chen Z, Chen JC, Rud D, Lewinger JP, van Donkelaar A, Martin RV, Eckel SP, Schwartz J, Lurmann F, Kleeman MJ, McConnell R, Xiang AH. Associations of Autism Spectrum Disorder with PM 2.5 Components: A Comparative Study Using Two Different Exposure Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:405-414. [PMID: 36548990 PMCID: PMC10898516 DOI: 10.1021/acs.est.2c05197] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM2.5) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up (N = 4559) were identified by ICD codes. Prenatal exposures to PM2.5, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM2.5, EC/BC, OM, and SO42- exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO3-. EC/BC, OM, and SO42- were generally robust to adjustment for other components and for PM2.5. EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO42- in the third trimester. Future PM2.5 composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.
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Affiliation(s)
- Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Sarah A Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Jane C Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Xin Yu
- Spatial Science Institute, University of Southern California, Los Angeles, California 90089, United States
| | - Mayra P Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Daniel Rud
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Juan P Lewinger
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Aaron van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri 63130, United States
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri 63130, United States
| | - Sandrah Proctor Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Fred Lurmann
- Sonoma Technology, Inc., Petaluma, California 94954, United States
| | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California, Davis, Davis, California 95616, United States
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Anny H Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
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Environmental Chemical Exposures and Mitochondrial Dysfunction: a Review of Recent Literature. Curr Environ Health Rep 2022; 9:631-649. [PMID: 35902457 PMCID: PMC9729331 DOI: 10.1007/s40572-022-00371-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/20/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW Mitochondria play various roles that are important for cell function and survival; therefore, significant mitochondrial dysfunction may have chronic consequences that extend beyond the cell. Mitochondria are already susceptible to damage, which may be exacerbated by environmental exposures. Therefore, the aim of this review is to summarize the recent literature (2012-2022) looking at the effects of six ubiquitous classes of compounds on mitochondrial dysfunction in human populations. RECENT FINDINGS The literature suggests that there are a number of biomarkers that are commonly used to identify mitochondrial dysfunction, each with certain advantages and limitations. Classes of environmental toxicants such as polycyclic aromatic hydrocarbons, air pollutants, heavy metals, endocrine-disrupting compounds, pesticides, and nanomaterials can damage the mitochondria in varied ways, with changes in mtDNA copy number and measures of oxidative damage the most commonly measured in human populations. Other significant biomarkers include changes in mitochondrial membrane potential, calcium levels, and ATP levels. This review identifies the biomarkers that are commonly used to characterize mitochondrial dysfunction but suggests that emerging mitochondrial biomarkers, such as cell-free mitochondria and blood cardiolipin levels, may provide greater insight into the impacts of exposures on mitochondrial function. This review identifies that the mtDNA copy number and measures of oxidative damage are commonly used to characterize mitochondrial dysfunction, but suggests using novel approaches in addition to well-characterized ones to create standardized protocols. We identified a dearth of studies on mitochondrial dysfunction in human populations exposed to metals, endocrine-disrupting chemicals, pesticides, and nanoparticles as a gap in knowledge that needs attention.
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Liu X, Zhao X, Li X, Lv S, Ma R, Qi Y, Abulikemu A, Duan H, Guo C, Li Y, Sun Z. PM 2.5 triggered apoptosis in lung epithelial cells through the mitochondrial apoptotic way mediated by a ROS-DRP1-mitochondrial fission axis. JOURNAL OF HAZARDOUS MATERIALS 2020; 397:122608. [PMID: 32387827 DOI: 10.1016/j.jhazmat.2020.122608] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 03/24/2020] [Accepted: 03/27/2020] [Indexed: 06/11/2023]
Abstract
Epidemiological studies revealed a sharp increase in respiratory diseases attributed to PM2.5. However, the underlying mechanisms remain unclear. Evidence suggested mitochondrion as a sensitive target upon the stimulus of PM2.5, and the centrality in the pathological processes and clinical characterization of lung diseases. To investigate cell fate and related mechanisms caused by PM2.5, we exposed human lung epithelial cells (BEAS-2B) to PM2.5 (0-100 μg/mL). Consequently, PM2.5 components were found in cytoplasm, and morphological and functional alterations in mitochondria occurred, as evidenced by loss of cristae, vacuolization and even the outer mitochondrial membrane rupture, mitochondrial membrane potential collapse, enhanced reactive oxygen species (ROS)/mtROS level, calcium overload, suppressed cellular respiration and ATP production in PM2.5-treated cells. Further, disturbed dynamics toward fission was clearly observed in PM2.5-treated mitochondria, associated with DRP1 mitochondrial translocation and phosphorylation. Besides, PM2.5 induced mitochondria-mediated apoptosis. More importantly, mechanistic results revealed ROS- and DRP1-mediated mitochondrial fission in a reciprocal way, and DRP1 inhibitor (Mdivi-1) significantly alleviated the pro-apoptotic effect of PM2.5 through reversing the activated mitochondrial apoptotic pathway. In summary, our results firstly revealed PM2.5 induced apoptosis in lung epithelial cells through a ROS-DRP1-mitochodrial fission axis-mediated mitochondrial apoptotic pathway, ultimately contributing to the onset and development of pulmonary diseases.
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Affiliation(s)
- Xiaoying Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xinying Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Xueyan Li
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Songqing Lv
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
| | - Ru Ma
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Yi Qi
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Alimire Abulikemu
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Caixia Guo
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China; Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China.
| | - Yanbo Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, China
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Liu Y, Wu M, Liu B, Song L, Bi J, Wang L, Upadhyaya Khatiwada S, Chen K, Liu Q, Xiong C, Li Y, Xia W, Xu S, Wang Y, Zhou A. Association of prenatal exposure to rare earth elements with newborn mitochondrial DNA content: Results from a birth cohort study. ENVIRONMENT INTERNATIONAL 2020; 143:105863. [PMID: 32683209 DOI: 10.1016/j.envint.2020.105863] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/01/2020] [Accepted: 05/28/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Rare earth elements (REE) have been widely used in industry and agriculture. Mitochondria are susceptible to environmental exposure and the change of mitochondrial DNA (mtDNA) content is a proxy indicator of mitochondrial response to damage. However, no study has explored the associations between prenatal repeated REE exposure and newborn mtDNA content. OBJECTIVES We aimed to investigate the trimester-specific associations between prenatal REE exposure and newborn mtDNA content. METHODS A total of 587 mother-newborn pairs were recruited from Wuhan Children's Hospital between November 2013 and March 2015 in Wuhan, China. Urinary concentrations of REE collected during 3 trimesters were measured by inductively coupled plasma mass spectrometry (ICP-MS). Quantitative real-time polymerase chain reaction (qPCR) was used to measure relative cord blood mtDNA content. We evaluated the trimester-specific associations between prenatal REE exposure and relative cord blood mtDNA content with multiple informant models. False discovery rate (FDR) was used to correct for multiple testing. RESULTS After adjustment for potential confounders, prenatal exposure to REE [gadolinium (Gd), dysprosium (Dy), erbium (Er), praseodymium (Pr)] during the third trimester were positively related to cord blood mtDNA content, and the positive associations with cord blood mtDNA content were still observed in Dy, Er, and Pr after FDR correction. CONCLUSIONS This prospective study demonstrated that maternal REE exposure during the third trimester was associated with the increased newborn mtDNA content, and the third trimester might be a potential window for sensitivity of newborn mtDNA content to REE exposure. The results might provide evidence of the potential health effects of environmental REE exposure.
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Affiliation(s)
- Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bingqing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shikha Upadhyaya Khatiwada
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kai Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chao Xiong
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Aifen Zhou
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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9
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Wang X, Hart JE, Liu Q, Wu S, Nan H, Laden F. Association of particulate matter air pollution with leukocyte mitochondrial DNA copy number. ENVIRONMENT INTERNATIONAL 2020; 141:105761. [PMID: 32388147 PMCID: PMC7419671 DOI: 10.1016/j.envint.2020.105761] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/07/2020] [Accepted: 04/22/2020] [Indexed: 05/22/2023]
Abstract
BACKGROUND Ambient particulate matter (PM) has been associated with mitochondrial damage and dysfunction caused by excessive oxidative stress, but the associations between long-term PM exposure and leukocyte mitochondrial DNA copy number (mtDNAcn), a biomarker of mitochondrial dysfunction due to oxidative stress, are less studied. OBJECTIVES To investigate the associations between short-, intermediate- and long-term exposure (1-, 3- and 12-months) to different size fractions of PM (PM2.5, PM2.5-10 and PM10) and leukocyte mtDNAcn in a cross-sectional study. METHODS The associations between each of the PM exposure metrics with z scores of log-transformed mtDNAcn were examined using generalized linear regression models in 2758 female participants from the Nurses' Health Study (NHS). Monthly exposures to PM were estimated from spatio-temporal prediction models matched to each participants' address history. Potential effect modification by selected covariates was examined using multiplicative interaction terms and subgroup analyses. RESULTS In single-size fraction models, increases in all size fractions of PM were associated with decreases in mtDNAcn, although only models with longer averages of PM2.5 reached statistical significance. For example, an interquartile range (IQR) increase in 12-month average ambient PM2.5 (5.5 μg/m3) was associated with a 0.07 [95% confidence interval (95% CI): -0.13, -0.01; p-value = 0.02] decrease in mtDNAcn z score in both basic- and multivariable-adjusted models. Associations for PM2.5 were stronger after controlling for PM2.5-10 in two size-fraction models. CONCLUSIONS Our study suggests that long-term exposure to ambient PM2.5 is associated with decreased mtDNAcn in healthy women.
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Affiliation(s)
- Xinmei Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qisijing Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, China.
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA; Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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10
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Di Ciaula A, Portincasa P. The environment as a determinant of successful aging or frailty. Mech Ageing Dev 2020; 188:111244. [PMID: 32335099 DOI: 10.1016/j.mad.2020.111244] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/01/2020] [Accepted: 04/03/2020] [Indexed: 02/07/2023]
Abstract
The number of elderly persons is rising rapidly, and healthspan is a key factor in determining the well-being of individuals and the sustainability of national health systems. Environmental health is crucial for a "successful aging". Complex relationships between environmental factors and non-communicable diseases play a major role, causing or accelerating disabilities. Besides genetic factors, aging results from the concurrence of several environmental factors starting from early (i.e. in utero) life, able to increase susceptibility to diseases in adulthood, and to promote frailty in the elderly. In aged people, an unhealthy environment contributes to a fast and early decline and increases vulnerability. Exposure to pollutants facilitates the onset and progression of cardiovascular, respiratory, metabolic and neurologic diseases through direct effects and epigenetic mechanisms negatively affecting biological age. Healthy diet, healthy environment and constant physical activity could counteract, at least in part, the negative effects of environmental stressors. Almost all environmental factors generating detrimental effects on aging are modifiable, with relevant implications in terms of primary prevention measures potentially leading to decreased frailty, to an increase in the number of years lived without diseases or disability, and to a significant reduction in health expenditure.
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Affiliation(s)
- Agostino Di Ciaula
- Clinica Medica "A. Murri", Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy; Division of Internal Medicine, Hospital of Bisceglie (ASL BAT), Bisceglie, Italy; International Society of Doctors for Environment (ISDE).
| | - Piero Portincasa
- Clinica Medica "A. Murri", Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
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11
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Impairment of mitochondrial function by particulate matter: Implications for the brain. Neurochem Int 2020; 135:104694. [DOI: 10.1016/j.neuint.2020.104694] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/18/2022]
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12
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Zheng Y, Zhang C, Weisskopf MG, Williams PL, Claus Henn B, Parsons PJ, Palmer CD, Buck Louis GM, James-Todd T. Evaluating associations between early pregnancy trace elements mixture and 2nd trimester gestational glucose levels: A comparison of three statistical approaches. Int J Hyg Environ Health 2020; 224:113446. [PMID: 31978739 PMCID: PMC7609138 DOI: 10.1016/j.ijheh.2019.113446] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/11/2019] [Accepted: 12/24/2019] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Studies have shown that individual trace element levels might be associated with abnormal glycemic status, with implications for diabetes. Few studies have considered these trace elements as a mixture and their impact on gestational glucose levels. Comparing three statistical approaches, we assessed the associations between essential trace elements mixture and gestational glucose levels. METHODS We used data from 1720 women enrolled in the Eunice Kennedy Shriver National Institute of Child Health and Human Development's Fetal Growth Study, for whom trace element concentrations (zinc, selenium, copper, molybdenum) were measured by inductively coupled plasma mass spectrometry (ICP-MS) using plasma collected during the 1st trimester. Non-fasting glucose levels were measured during the gestational diabetes mellitus (GDM) screening test in the 2nd trimester. We applied (1) Bayesian Kernel Machine Regression (BKMR); (2) adaptive Least Absolute Shrinkage and Selection Operator (LASSO) in a mutually adjusted linear regression model; and (3) generalized additive models (GAMs) to evaluate the joint associations between trace elements mixture and glucose levels adjusting for potential confounders. RESULTS Using BKMR, we observed a mean 2.7 mg/dL higher glucose level for each interquartile increase of plasma copper (95% credible interval: 0.9, 4.5). The positive association between plasma copper and glucose levels was more pronounced at higher quartiles of zinc. Similar associations were detected using adaptive LASSO and GAM. In addition, results from adaptive LASSO and GAM suggested a super-additive interaction between molybdenum and selenium (both p-values = 0.04). CONCLUSION Employing different statistical methods, we found consistent evidence of higher gestational glucose levels associated with higher copper and potential synergism between zinc and copper on glucose levels.
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Affiliation(s)
| | - Cuilin Zhang
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Marc G Weisskopf
- Departments of Environmental Health, USA; Departments of Epidemiology, USA
| | - Paige L Williams
- Departments of Epidemiology, USA; Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Birgit Claus Henn
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Patrick J Parsons
- Wadsworth Center, New York State Department of Health, Albany, NY, 12203, USA; Department of Environmental Health Sciences, University at Albany, Rensselaer, NY, 12144, USA
| | - Christopher D Palmer
- Wadsworth Center, New York State Department of Health, Albany, NY, 12203, USA; Department of Environmental Health Sciences, University at Albany, Rensselaer, NY, 12144, USA
| | | | - Tamarra James-Todd
- Departments of Environmental Health, USA; Departments of Epidemiology, USA
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13
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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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14
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Liu B, Song L, Zhang L, Wu M, Wang L, Cao Z, Zhang B, Xu S, Wang Y. Prenatal aluminum exposure is associated with increased newborn mitochondrial DNA copy number. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 252:330-335. [PMID: 31158661 DOI: 10.1016/j.envpol.2019.05.116] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 02/15/2019] [Accepted: 05/22/2019] [Indexed: 05/15/2023]
Abstract
Aluminum is a widely distributed metal that has been reported to have embryotoxicity and fetotoxicity in animal studies. However, there has been no study of the association between prenatal aluminum exposure and newborn mitochondrial DNA copy number (mtDNAcn). We aimed to investigate the effect of prenatal aluminum exposure on newborn mtDNAcn. A total of 762 mother-newborn pairs were recruited between November 2013 and March 2015 in Wuhan city, China. We measured maternal urinary aluminum concentrations at three trimesters of pregnancy. Relative mtDNAcn was measured in DNA extracted from umbilical cord blood samples. We used generalized estimating equations to assess the relationship between prenatal aluminum exposure and newborn mtDNAcn. The geometric means of creatinine corrected aluminum concentrations were 31.0 μg/g Cr (95% CI: 27.6, 34.7), 40.9 μg/g Cr (95% CI: 35.7, 46.8) and 58.4 μg/g Cr (95% CI: 51.2, 67.4) for the first, second and third trimesters, respectively. After adjustment for potential confounding factors, a doubling of maternal urinary aluminum concentrations during the second and third trimesters was related to 3.16% (95% CI: 0.88, 5.49) and 4.20% (95% CI: 1.64, 6.81) increases in newborn mtDNAcn, respectively, while the association between maternal urinary aluminum concentration during the first trimester and newborn mtDNAcn was not significant (percent difference: 0.70%, 95% CI: -2.25, 3.73). Prenatal aluminum exposure during the second and third trimesters was positively associated with newborn mtDNAcn. Further studies are essential to elucidate on the potential health consequences of newborn mtDNAcn.
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Affiliation(s)
- Bingqing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China
| | - Lina Zhang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China
| | - Zhongqiang Cao
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Hongkong Road 100, 430030, Hubei, Wuhan, China
| | - Bin Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Hongkong Road 100, 430030, Hubei, Wuhan, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030, Hubei, Wuhan, China.
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15
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Fong KC, Di Q, Kloog I, Laden F, Coull BA, Koutrakis P, Schwartz JD. Relative toxicities of major particulate matter constituents on birthweight in Massachusetts. Environ Epidemiol 2019; 3:e047. [PMID: 31342007 PMCID: PMC6571180 DOI: 10.1097/ee9.0000000000000047] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 03/13/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Maternal exposure to fine particulate air pollution (PM2.5) during pregnancy has been linked to lower newborn birthweight, making it a toxic exposure because lower birthweight is a risk factor for chronic disease and mortality. However, the toxicity of major constituents of PM2.5 and how they compare to each other remain uncertain. METHODS We assigned address-specific exposure to PM2.5, elemental carbon (EC), organic carbon (OC), nitrate, and sulfate averaged over the entire period of pregnancy for each birth in Massachusetts from 2001 to 2012 using a high-resolution exposure model. Using multivariate regression adjusted for total PM2.5, we estimated the relative toxicity of each constituent on continuous birthweight. RESULTS EC was more toxic per interquartile range increase compared with remaining PM2.5 in single constituent models that estimated the effect of a constituent with adjustment for PM2.5. OC, nitrate, and sulfate were each less toxic than their respective remaining PM2.5 per interquartile range increase. When all constituents and total PM2.5 were included in the same model, EC was most toxic, followed by nitrate, then OC and sulfate with similar toxicities. Sensitivity analyses using term low birth weight and small for gestational age also showed that EC was most detrimental as did averaging exposures over the third trimester of pregnancy. Scaling to unit mass increases also showed EC to be most toxic. CONCLUSION Four major constituents of PM2.5 had different relative toxicities on continuous birthweight. Our findings suggest that EC was most toxic, followed by nitrate, OC, and sulfate.
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Affiliation(s)
- Kelvin C. Fong
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- School of Forestry and Environmental Studies, Yale University, New Haven, CT
| | - Qian Di
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
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16
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Kupsco A, Sanchez-Guerra M, Amarasiriwardena C, Brennan KJM, Estrada-Gutierrez G, Svensson K, Schnaas L, Pantic I, Téllez-Rojo MM, Baccarelli AA, Wright RO. Prenatal manganese and cord blood mitochondrial DNA copy number: Effect modification by maternal anemic status. ENVIRONMENT INTERNATIONAL 2019; 126:484-493. [PMID: 30849576 PMCID: PMC6471611 DOI: 10.1016/j.envint.2019.02.029] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 02/11/2019] [Accepted: 02/11/2019] [Indexed: 05/06/2023]
Abstract
INTRODUCTION Manganese (Mn) is an essential nutrient but also a toxicant at high exposures, when it can induce oxidative stress (OS). Mn uptake is inversely correlated with iron status, therefore anemic individuals may be more susceptible to Mn overload induced-OS, which can manifest as changes in mitochondrial DNA copy number (mtDNA CN). Our objectives were to: 1) determine stage-specific associations of prenatal Mn exposure with cord blood MtDNA CN; and 2) investigate effect modification by maternal anemia, ferritin, and mean corpuscular volume (MCV). MATERIALS AND METHODS We measured whole blood Mn, hemoglobin, serum ferritin, and MCV in the 2nd and 3rd trimester, in maternal blood at birth, and in cord blood from a prospective birth cohort in Mexico City, Mexico (n = 485). We then extracted DNA from cord blood leukocytes to determine mtDNA CN. We used robust regression to measure associations between Mn and mtDNA CN at each trimester and at birth. Anemia (hemoglobin ≤11 g/dL), iron deficiency (ferritin ≤15 ng/mL) and MCV (stratified at median), were examined as effect modifiers. RESULTS Mn levels increased throughout pregnancy, and Mn was inversely correlated with ferritin. We observed a positive association between Mn in the 3rd trimester and Mn in cord blood and mtDNA CN (β = 0.04-0.05; 95% CI = 0.01, 0.08). Anemia significantly modified the association between mtDNA CN and Mn in the 2nd trimester. We found a positive association between 2nd trimester Mn and mtDNA CN in mothers with normal hemoglobin, and a negative association in those with low hemoglobin. (βhigh = 0.06; 95% CI = 0.01, 0.11; p = 0.01 and βlow = -0.06; 95% CI = 0.03, -0.13; p = 0.06). No associations were detected between anemia, iron deficiency and MCV and mtDNA CN. CONCLUSIONS Maternal blood Mn in the 3rd trimester and in cord blood was positively associated with mtDNA CN, suggesting that higher late pregnancy prenatal Mn exposures can impact newborn mitochondria by promoting OS. Furthermore, 2nd trimester Mn was positively associated with mtDNA in non-anemic mother-child pairs but inversely associated in anemic individuals, indicating potential interactions between Mn and chronic anemia.
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Affiliation(s)
- Allison Kupsco
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA.
| | | | - Chitra Amarasiriwardena
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kasey J M Brennan
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | | | - Katherine Svensson
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Ivan Pantic
- National Institute of Perinatology, Mexico City, Mexico
| | - Martha María Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Medical Center, 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
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17
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Nwanaji-Enwerem JC, Weisskopf MG, Baccarelli AA. Multi-tissue DNA methylation age: Molecular relationships and perspectives for advancing biomarker utility. Ageing Res Rev 2018; 45:15-23. [PMID: 29698722 PMCID: PMC6047923 DOI: 10.1016/j.arr.2018.04.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/29/2018] [Accepted: 04/18/2018] [Indexed: 12/31/2022]
Abstract
The multi-tissue DNA methylation estimator of chronological age (DNAm-age) has been associated with a wide range of exposures and health outcomes. Still, it is unclear how DNAm-age can have such broad relationships and how it can be best utilized as a biomarker. Understanding DNAm-age's molecular relationships is a promising approach to address this critical knowledge gap. In this review, we discuss the existing literature regarding DNAm-age's molecular relationships in six major categories: animal model systems, cancer processes, cellular aging processes, immune system processes, metabolic processes, and nucleic acid processes. We also present perspectives regarding the future of DNAm-age research, including the need to translate a greater number of ongoing research efforts to experimental and animal model systems.
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Affiliation(s)
- Jamaji C Nwanaji-Enwerem
- Department of Environmental Health, Harvard T.H. Chan School of Public Health and MD-PhD Program, Harvard Medical School, Boston, MA, USA.
| | - Marc G Weisskopf
- Department of Environmental Health and Department of Epidemiology, 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
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