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Trees IR, Saha A, Putnick DL, Clayton PK, Mendola P, Bell EM, Sundaram R, Yeung EH. Prenatal exposure to air pollutant mixtures and birthweight in the upstate KIDS cohort. ENVIRONMENT INTERNATIONAL 2024; 187:108692. [PMID: 38677086 DOI: 10.1016/j.envint.2024.108692] [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: 12/13/2023] [Revised: 04/02/2024] [Accepted: 04/23/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Single-pollutant models have linked prenatal PM2.5 exposure to lower birthweight. However, analyzing air pollutant mixtures better captures pollutant interactions and total effects. Unfortunately, strong correlations between pollutants restrict traditional methods. OBJECTIVES We explored the association between exposure to a mixture of air pollutants during different gestational age windows of pregnancy and birthweight. METHODS We included 4,635 mother-infant dyads from a New York State birth cohort born 2008-2010. Air pollution data were sourced from the EPA's Community Multiscale Air Quality model and matched to the census tract centroid of each maternal home address. Birthweight and gestational age were extracted from vital records. We applied linear regression to study the association between prenatal exposure to PM2.5, PM10, NOX, SO2, and CO and birthweight during six sensitive windows. We then utilized Bayesian kernel machine regression to examine the non-linear effects and interactions within this five-pollutant mixture. Final models adjusted for maternal socio-demographics, infant characteristics, and seasonality. RESULTS Single-pollutant linear regression models indicated that most pollutants were associated with a decrement in birthweight, specifically during the two-week window before birth. An interquartile range increase in PM2.5 exposure (IQR: 3.3 µg/m3) from the median during this window correlated with a 34 g decrement in birthweight (95 % CI: -54, -14), followed by SO2 (IQR: 2.0 ppb; β: -31), PM10 (IQR: 4.6 µg/m3; β: -29), CO (IQR: 60.8 ppb; β: -27), and NOX (IQR: 7.9 ppb; β: -26). Multi-pollutant BKMR models revealed that PM2.5, NOX, and CO exposure were negatively and non-linearly linked with birthweight. As the five-pollutant mixture increased, birthweight decreased until the median level of exposure. DISCUSSION Prenatal exposure to air pollutants, notably PM2.5, during the final two weeks of pregnancy may negatively impact birthweight. The non-linear relationships between air pollution and birthweight highlight the importance of studying pollutant mixtures and their interactions.
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Affiliation(s)
- Ian R Trees
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Abhisek Saha
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Diane L Putnick
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Priscilla K Clayton
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, University at Buffalo, United States
| | - Erin M Bell
- Department of Environmental Health Sciences, University at Albany School of Public Health, United States
| | - Rajeshwari Sundaram
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
| | - Edwina H Yeung
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States.
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Zhang J, Cheng H, Zhu Y, Xie S, Shao X, Wang C, Chung SK, Zhang Z, Hao K. Exposure to Airborne PM 2.5 Water-Soluble Inorganic Ions Induces a Wide Array of Reproductive Toxicity. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4092-4103. [PMID: 38373958 DOI: 10.1021/acs.est.3c07532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Water-soluble inorganic ions (WSIIs, primarily NH4+, SO42-, and NO3-) are major components in ambient PM2.5, but their reproductive toxicity remains largely unknown. An animal study was conducted where parental mice were exposed to PM2.5 WSIIs or clean air during preconception and the gestational period. After delivery, all maternal and offspring mice lived in a clean air environment. We assessed reproductive organs, gestation outcome, birth weight, and growth trajectory of the offspring mice. In parallel, we collected birth weight and placenta transcriptome data from 150 mother-infant pairs from the Rhode Island Child Health Study. We found that PM2.5 WSIIs induced a broad range of adverse reproductive outcomes in mice. PM2.5 NH4+, SO42-, and NO3- exposure reduced ovary weight by 24.22% (p = 0.005), 14.45% (p = 0.048), and 16.64% (p = 0.022) relative to the clean air controls. PM2.5 SO42- exposure reduced the weight of testicle by 5.24% (p = 0.025); further, mice in the PM2.5 SO42- exposure group had 1.81 (p = 0.027) fewer offspring than the control group. PM2.5 NH4+, SO42-, and NO3- exposure all led to lower birth than controls. In mice, 557 placenta genes were perturbed by exposure. Integrative analysis of mouse and human data suggested hypoxia response in placenta as an etiological mechanism underlying PM2.5 WSII exposure's reproductive toxicity.
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Affiliation(s)
- Jushan Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai, China 200092
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
- College of Environmental Science and Engineering, Tongji University, Shanghai, China 200092
| | - Haoxiang Cheng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Yujie Zhu
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
| | - Shuanshuan Xie
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
| | - Xiaowen Shao
- Department of Obstetrics and Gynecology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
| | - Changhui Wang
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
| | - Sookja Kim Chung
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macau SAR 999078, China
- Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine; State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR 999077, China
| | - Zhongyang Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Ke Hao
- State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai, China 200092
- Department of Respiratory Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China 200072
- College of Environmental Science and Engineering, Tongji University, Shanghai, China 200092
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Liu Y, Li S, Liu B, Zhang J, Wang C, Feng L. Maternal urban particulate matter (SRM 1648a) exposure disrupted the cellular immune homeostasis during early life: The potential attribution of altered placental transcriptome profile. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169432. [PMID: 38135080 DOI: 10.1016/j.scitotenv.2023.169432] [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: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023]
Abstract
Ambient fine particular matter (PM2.5) exposure has been associated with numerous adverse effects including triggering functional disorders of the placenta and inducing immune imbalance in offspring. However, how maternal PM2.5 exposure impacts immune development during early life is not fully understood. In the current study, we exposed mice with low-, middle-, and high-dose PM2.5 during pregnancy to investigate the potential link between the transcriptional changes in the placenta and immune imbalance in mice offspring induced by PM2.5 exposures. Using flow cytometry, we found that the proportions of B cells, CD3+CD4+ T cells, CD3+CD8+ T cells, and macrophage (Mφ) cells were altered in the blood of PM2.5-exposed mice pups but not dendritic cells (DCs) and natural killer cells (NKs). Using bulk RNA sequencing, we found that PM2.5 exposure altered the transcriptional profile which indicated an inhibition of the complement and coagulation cascades in the placenta. Weighted gene co-expression network analysis (WGCNA) revealed the potential crosstalk between the perturbation of placental gene expression and the changes of immune cell subsets in pups on postnatal day 10 (PND10). Specifically, WGCNA identified a cluster of genes including Defb15, Defb20, Defb25, Cst8, Cst12, and Adam7 that might regulate the core immune cell types in PND10 pups. Although the underlying mechanisms of how maternal PM2.5 exposure induces peripheral lymphocyte disturbance in offspring still remain much unknown, our findings here shed light on the potential role of placental dysfunction in these adverse effects.
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Affiliation(s)
- Yongjie Liu
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China
| | - Shuman Li
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China
| | - Bin Liu
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China
| | - Jun Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China
| | - Cuiping Wang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China; Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, PR China.
| | - Liping Feng
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, PR China; Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, USA.
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Gavito-Covarrubias D, Ramírez-Díaz I, Guzmán-Linares J, Limón ID, Manuel-Sánchez DM, Molina-Herrera A, Coral-García MÁ, Anastasio E, Anaya-Hernández A, López-Salazar P, Juárez-Díaz G, Martínez-Juárez J, Torres-Jácome J, Albarado-Ibáñez A, Martínez-Laguna Y, Morán C, Rubio K. Epigenetic mechanisms of particulate matter exposure: air pollution and hazards on human health. Front Genet 2024; 14:1306600. [PMID: 38299096 PMCID: PMC10829887 DOI: 10.3389/fgene.2023.1306600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/20/2023] [Indexed: 02/02/2024] Open
Abstract
Environmental pollution nowadays has not only a direct correlation with human health changes but a direct social impact. Epidemiological studies have evidenced the increased damage to human health on a daily basis because of damage to the ecological niche. Rapid urban growth and industrialized societies importantly compromise air quality, which can be assessed by a notable accumulation of air pollutants in both the gas and the particle phases. Of them, particulate matter (PM) represents a highly complex mixture of organic and inorganic compounds of the most variable size, composition, and origin. PM being one of the most complex environmental pollutants, its accumulation also varies in a temporal and spatial manner, which challenges current analytical techniques used to investigate PM interactions. Nevertheless, the characterization of the chemical composition of PM is a reliable indicator of the composition of the atmosphere, the quality of breathed air in urbanized societies, industrial zones and consequently gives support for pertinent measures to avoid serious health damage. Epigenomic damage is one of the most promising biological mechanisms of air pollution-derived carcinogenesis. Therefore, this review aims to highlight the implication of PM exposure in diverse molecular mechanisms driving human diseases by altered epigenetic regulation. The presented findings in the context of pan-organic cancer, fibrosis, neurodegeneration and metabolic diseases may provide valuable insights into the toxicity effects of PM components at the epigenomic level and may serve as biomarkers of early detection for novel targeted therapies.
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Affiliation(s)
- Dulcemaría Gavito-Covarrubias
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
| | - Ivonne Ramírez-Díaz
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
- Universidad Popular Autónoma del Estado de Puebla (UPAEP), Puebla, Mexico
| | - Josué Guzmán-Linares
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
| | - Ilhuicamina Daniel Limón
- Laboratory of Neuropharmacology, Faculty of Chemical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Dulce María Manuel-Sánchez
- Laboratory of Neuropharmacology, Faculty of Chemical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Alejandro Molina-Herrera
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
| | - Miguel Ángel Coral-García
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
| | - Estela Anastasio
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
| | - Arely Anaya-Hernández
- Centro de Investigación en Genética y Ambiente, Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico
| | - Primavera López-Salazar
- Centro de Investigaciones en Dispositivos Semiconductores (CIDS), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Gabriel Juárez-Díaz
- Centro de Investigaciones en Dispositivos Semiconductores (CIDS), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Javier Martínez-Juárez
- Centro de Investigaciones en Dispositivos Semiconductores (CIDS), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Julián Torres-Jácome
- Laboratorio de Fisiopatología Cardiovascular, Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Alondra Albarado-Ibáñez
- Laboratorio de Fisiopatología Cardiovascular, Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Ygnacio Martínez-Laguna
- Vicerrectoría de Investigación y Estudios de Posgrado, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Carolina Morán
- Centro de Investigación en Fisicoquímica de Materiales, Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico
| | - Karla Rubio
- International Laboratory EPIGEN, Consejo de Ciencia y Tecnología del Estado de Puebla (CONCYTEP), Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Puebla, Mexico
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Elkin ER, Campbell KA, Lapehn S, Harris SM, Padmanabhan V, Bakulski KM, Paquette AG. Placental single cell transcriptomics: Opportunities for endocrine disrupting chemical toxicology. Mol Cell Endocrinol 2023; 578:112066. [PMID: 37690473 PMCID: PMC10591899 DOI: 10.1016/j.mce.2023.112066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 09/12/2023]
Abstract
The placenta performs essential biologic functions for fetal development throughout pregnancy. Placental dysfunction is at the root of multiple adverse birth outcomes such as intrauterine growth restriction, preeclampsia, and preterm birth. Exposure to endocrine disrupting chemicals during pregnancy can cause placental dysfunction, and many prior human studies have examined molecular changes in bulk placental tissues. Placenta-specific cell types, including cytotrophoblasts, syncytiotrophoblasts, extravillous trophoblasts, and placental resident macrophage Hofbauer cells play unique roles in placental development, structure, and function. Toxicant-induced changes in relative abundance and/or impairment of these cell types likely contribute to placental pathogenesis. Although gene expression insights gained from bulk placental tissue RNA-sequencing data are useful, their interpretation is limited because bulk analysis can mask the effects of a chemical on individual populations of placental cells. Cutting-edge single cell RNA-sequencing technologies are enabling the investigation of placental cell-type specific responses to endocrine disrupting chemicals. Moreover, in situ bioinformatic cell deconvolution enables the estimation of cell type proportions in bulk placental tissue gene expression data. These emerging technologies have tremendous potential to provide novel mechanistic insights in a complex heterogeneous tissue with implications for toxicant contributions to adverse pregnancy outcomes.
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Affiliation(s)
- Elana R Elkin
- School of Public Health, San Diego State University, San Diego, CA, USA.
| | - Kyle A Campbell
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Samantha Lapehn
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA
| | - Sean M Harris
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Vasantha Padmanabhan
- Department of Pediatrics, Michigan Medicine, Ann Arbor, MI, USA; Department of Obstetrics and Gynecology, Michigan Medicine, Ann Arbor, MI, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Alison G Paquette
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA; Department of Pediatrics, University of Washington, Seattle, WA, USA
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Saddiki H, Zhang X, Colicino E, Wilson A, Kloog I, Wright RO, Wright RJ, Lesseur C. DNA methylation profiles reveal sex-specific associations between gestational exposure to ambient air pollution and placenta cell-type composition in the PRISM cohort study. Clin Epigenetics 2023; 15:188. [PMID: 38041176 PMCID: PMC10693032 DOI: 10.1186/s13148-023-01601-x] [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: 08/02/2023] [Accepted: 11/13/2023] [Indexed: 12/03/2023] Open
Abstract
BACKGROUND Gestational exposure to ambient air pollution has been associated with adverse health outcomes for mothers and newborns. The placenta is a central regulator of the in utero environment that orchestrates development and postnatal life via fetal programming. Ambient air pollution contaminants can reach the placenta and have been shown to alter bulk placental tissue DNA methylation patterns. Yet the effect of air pollution on placental cell-type composition has not been examined. We aimed to investigate whether the exposure to ambient air pollution during gestation is associated with placental cell types inferred from DNA methylation profiles. METHODS We leveraged data from 226 mother-infant pairs in the Programming of Intergenerational Stress Mechanisms (PRISM) longitudinal cohort in the Northeastern US. Daily concentrations of fine particulate matter (PM2.5) at 1 km spatial resolution were estimated from a spatiotemporal model developed with satellite data and linked to womens' addresses during pregnancy and infants' date of birth. The proportions of six cell types [syncytiotrophoblasts, trophoblasts, stromal, endothelial, Hofbauer and nucleated red blood cells (nRBCs)] were derived from placental tissue 450K DNA methylation array. We applied compositional regression to examine overall changes in placenta cell-type composition related to PM2.5 average by pregnancy trimester. We also investigated the association between PM2.5 and individual cell types using beta regression. All analyses were performed in the overall sample and stratified by infant sex adjusted for covariates. RESULTS In male infants, first trimester (T1) PM2.5 was associated with changes in placental cell composition (p = 0.03), driven by a decrease [per one PM2.5 interquartile range (IQR)] of 0.037 in the syncytiotrophoblasts proportion (95% confidence interval (CI) [- 0.066, - 0.012]), accompanied by an increase in trophoblasts of 0.033 (95% CI: [0.009, 0.064]). In females, second and third trimester PM2.5 were associated with overall changes in placental cell-type composition (T2: p = 0.040; T3: p = 0.049), with a decrease in the nRBC proportion. Individual cell-type analysis with beta regression showed similar results with an additional association found for third trimester PM2.5 and stromal cells in females (decrease of 0.054, p = 0.024). CONCLUSION Gestational exposure to air pollution was associated with placenta cell composition. Further research is needed to corroborate these findings and evaluate their role in PM2.5-related impact in the placenta and consequent fetal programming.
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Affiliation(s)
- Hachem Saddiki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, The Kravis Children's Hospital, New York, NY, USA
- Institute of Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Institute of Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Institute of Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, The Kravis Children's Hospital, New York, NY, USA
- Institute of Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Corina Lesseur
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
- Institute of Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Song S, Gao Z, Zhang X, Zhao X, Chang H, Zhang J, Yu Z, Huang C, Zhang H. Ambient fine particulate matter and pregnancy outcomes: An umbrella review. ENVIRONMENTAL RESEARCH 2023; 235:116652. [PMID: 37451569 DOI: 10.1016/j.envres.2023.116652] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
Abstract
The available evidence on the effects of ambient fine particulate matter (PM2.5) and pregnancy outcomes (birth outcomes and pregnancy complications) has increased substantially. The purpose of this umbrella review is to refine the evidence of the association between birth outcome (birth defects) and PM2.5; and summarize the credibility of existing research on the association between pregnancy complications and PM2.5. We searched PubMed, Web of Science, Embase, and Cochrane databases for relevant systematic reviews and meta-analyses up to March 16, 2022 in accordance with PRISMA guidelines. Two independent investigators conducted data extraction. AMSTAR 2 and GRADE assessment criteria were used to evaluate the methodological and evidence quality. We performed subgroup analyses by trimesters of pregnancy. The review protocol for this study has been registered in PROSPERO (CRD42022325550). This umbrella review identified a total of 41 systematic reviews, including 28 articles evaluating the influence of PM2.5 on birth outcomes and 13 on pregnancy complications. Positive associations between perinatal PM2.5 exposure and adverse birth outcomes were found, including low birth weight, preterm birth, stillbirth, small for gestational age, and birth defects. Pregnant women exposed to PM2.5 had a significantly higher risk of developing hypertensive disorder of pregnancy, gestational diabetes mellitus, gestational hypertension, and preeclampsia. The findings of subgroup analysis demonstrated that the effects of ambient PM2.5 exposure on pregnancy outcomes varied by trimesters. The findings of this extensive umbrella review provide convincing proof that exposure to ambient PM2.5 raises the risks of unfavorable birth outcomes and pregnancy complications. Some associations show considerable disparity between trimesters. These findings have implications for strengthen perinatal health care on air pollution and improving intergenerational equity.
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Affiliation(s)
- Shuaixing Song
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China; College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zengli Yu
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Huanhuan Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China; NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China.
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8
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Xie X, Li K, Liang X, Tian L, Lin B, Yan J, Shi Y, Liu X, Xi Z. Identification and characterization of circular RNA in the model of autism spectrum disorder from PM 2.5 exposure. Front Genet 2023; 14:970465. [PMID: 37229188 PMCID: PMC10203163 DOI: 10.3389/fgene.2023.970465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 04/18/2023] [Indexed: 05/27/2023] Open
Abstract
PM2.5 induces a series of effects on neurological disorders, including autism spectrum disorder (ASD), however, the mechanism is not completely clear yet. Circular RNAs (circRNAs) are a class of closed-loop structures that can be stably expressed in vivo. In our experiments, rats exposed to PM2.5 exhibited autism-like phenotypes, such as anxiety, and memory loss. To explore the etiology, we performed transcriptome sequencing and found significant differences in the expression of circRNA. A total of 7770 circRNAs were identified between the control and experimental groups, 18 of which were differentially expressed, we selected ten circRNAs and performed qRT-PCR and Sanger sequencing to validate them. By GO and KEGG enrichment analysis, we found differentially expressed circRNAs that were mainly enriched in processes related to placental development and reproduction. Finally, using bioinformatics, we predicted miRNAs and mRNAs that circ-Mbd5 and circ-Ash1l might regulate and constructed circRNA-miRNA-mRNA networks involving genes associated with ASD, suggesting that circRNAs might regulate the occurrence of ASD.
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Affiliation(s)
- Xiaoqian Xie
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
- Binzhou Medical University, Yantai, Shandong, China
| | - Kang Li
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | | | - Lei Tian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Bencheng Lin
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Jun Yan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Yue Shi
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Xiaohua Liu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Zhuge Xi
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
- Binzhou Medical University, Yantai, Shandong, China
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9
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Li S, Liu B, Liu Y, Ding YQ, Zhang J, Feng L. Effects of maternal urban particulate matter SRM 1648a exposure on birth outcomes and offspring growth in mice. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:2387-2400. [PMID: 35972609 DOI: 10.1007/s10653-022-01352-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 07/09/2022] [Indexed: 06/15/2023]
Abstract
The association between exposure to particulate matter (PM) during pregnancy and abnormal birth outcomes is still inconclusive. This study aims to provide more evidence for this public health concern by investigating birth outcomes and the growth of offspring in mice exposed to PM during pregnancy. C57BL/6 J pregnant mice were exposed to PM via nasal drip at three doses or solvent control. The dam weight gain was recorded during pregnancy. The number of pups, pup weight, and placental weight were recorded at embryonic day 18.5 (E18.5) necropsy. For mice that gave birth naturally, we calculated the gestation length and measured the body weight of offspring once a week from the 1st to the 6th week after birth. The results showed that there were no significant differences in maternal body weight gain, conception rate, pregnancy duration, and litter size among different groups. There were no significant differences in fetal weight, placental weight, and fetal/placental weight ratio at E18.5. Weight gain in offspring was reduced after birth. The average body weight of offspring in the high-dose group was significantly lower than that in the control group at weeks 5 in female pups. There were no significant differences in the body weight of male offspring among groups from 1st to the 6th. Together, our study indicated that maternal exposure to PM did not significantly impact birth outcomes of C57BL/6 J mice but affected growth trajectories in offspring after birth in a dose- and fetal sex-dependent manner.
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Affiliation(s)
- Shuman Li
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Bin Liu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yongjie Liu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu-Qiang Ding
- Department of Laboratory Animal Science, Fudan University, Shanghai, 200032, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
| | - Liping Feng
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
- Division of Reproductive Science, Department of Obstetrics and Gynecology, Duke University Medical Center, Box 103208, Durham, NC, 27710, USA.
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10
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Balmes JR. Can Breathing Poor-quality Air Lead to Poor-quality Sleep in Children? Am J Respir Crit Care Med 2023; 207:510-511. [PMID: 36342427 PMCID: PMC10870902 DOI: 10.1164/rccm.202210-1968ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- John R Balmes
- Department of Medicine University of California San Francisco San Francisco, California
- School of Public Health University of California Berkeley Berkeley, California
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11
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Ke L, Feng G, Zhang Y, Ma X, Zhao B, Sun Y, Dong Z, Xing J, Wang S, Di Q. Causal effects of prenatal and chronic PM 2.5 exposures on cognitive function. ENVIRONMENTAL RESEARCH 2023; 219:115138. [PMID: 36565844 DOI: 10.1016/j.envres.2022.115138] [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: 08/12/2022] [Revised: 11/08/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Growing evidence indicated an association between PM2.5 exposure and cognitive function, but the causal effect and the cognitive effect of prenatal PM2.5 exposure remain elusive. We obtained 15,099 subjects from a nationally representative sample of China and measured their cognitive performance. We ascertained subjects' prenatal PM2.5 exposure and chronic PM2.5 exposure of the recent two years. Using this national sample, we found that PM2.5 exposure during the mid- to late-pregnancy was significantly associated with declined cognition and income; chronic PM2.5 exposure was also independently associated with cognition and income measured at adulthood with greater magnitude. Negative effect modification was observed between prenatal and chronic PM2.5 exposure. Instrumental variable approach and difference-in-difference study verified causal effects: every 1 μg/m3 increase in prenatal and chronic PM2.5 exposures were causally associated with -0.22% (-0.38%, -0.06%) and -0.17% (-0.31%, -0.03%) changes in cognitive function, respectively. People with low cognition and low income were more vulnerable to PM2.5 exposure with greater cognitive and income decline. In the future, although China's improved air quality continues to benefit people and reduce cognitive decline induced by chronic PM2.5 exposure, high prenatal PM2.5 exposure will continue to hurt the overall cognition of Chinese population, since in total 360 million people were born during the 2000-2020 polluted era. Prenatal PM2.5-induced cognitive decline would remain largely unchanged before 2050 and gradually reduce after 2065, regardless of environmental policy scenarios. The long-lasting cognitive impact of PM2.5 is worth considering while enacting environmental policies.
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Affiliation(s)
- Limei Ke
- School of Medicine, Tsinghua University, Beijing, 100084, China.
| | - Guoqing Feng
- School of Medicine, Tsinghua University, Beijing, 100084, China.
| | - Yao Zhang
- Soochow College, Soochow University, Suzhou, 215006, China; Division of Sports Science & Physical Education, Tsinghua University, Beijing, 100084, China.
| | - Xindong Ma
- Division of Sports Science & Physical Education, Tsinghua University, Beijing, 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China.
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
| | - Yisheng Sun
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of environment, Tsinghua University, Beijing, 100084, China.
| | - Zhaoxin Dong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of environment, Tsinghua University, Beijing, 100084, China.
| | - Jia Xing
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China; Institute for Healthy China, Tsinghua University, Beijing, 100084, China.
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12
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Xu R, Li Z, Qian N, Qian Y, Wang Z, Peng J, Zhu X, Guo C, Li X, Xu Q, Wei Y. Air pollution exposure and the risk of macrosomia: Identifying specific susceptible months. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160203. [PMID: 36403833 DOI: 10.1016/j.scitotenv.2022.160203] [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: 08/18/2022] [Revised: 11/08/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Birth weight is an important indicator of future growth and development for newborns. Few studies investigated the potential effects of air pollutants on macrosomia and their susceptible windows. We included 38,971 singleton full-term births from Beijing HaiDian Maternal and Child Health Hospital between 2014 and 2018, and assessed the associations of air pollutants exposure during preconception and pregnancy with macrosomia as well as the corresponding susceptible windows. The concentrations of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) for participants were calculated by the data from the nearest monitoring stations. Distributed lag models (DLM) incorporating logistic regression models were used to estimate the associations between air pollutants exposure during the 3 months before conception and pregnancy period and the risk of macrosomia, identifying susceptible windows of air pollutants. Weighted quantile sum (WQS) regression was applied to estimate the joint effect of air pollutants. A 10 μg/m3 increase in PM2.5 exposure from 3rd to 8th gestational month was positively associated with the risk of macrosomia, with the strongest effect in the 6th month (OR = 1.010, 95 % CI: 1.002-1.019). For a 10 μg/m3 increase in SO2, the windows of significant exposure were from the 1st preconception month to the 3rd gestational month, with the strongest effect in the 2nd month (OR = 1.030, 95 % CI: 1.010-1.049). We also observed the significant positive associations were in the 5th-8th gestational months for PM10, the 8th-9th gestational months for NO2 and the 3rd-7th gestational months for CO respectively. WQS regression also indicated a positive association between co-exposure to air pollutants and macrosomia. Our results suggest air pollution exposure is associated with increased risk of macrosomia. The windows of exposure for susceptibility to the risk of macrosomia vary between air pollutants. The susceptible exposure windows were middle and late pregnancy for PM, CO and NO2, while for SO2, early pregnancy is the window of vulnerability. Our findings provide the evidence that air pollution exposure is an independent risk factor for macrosomia and a basis for targeted environment policy.
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Affiliation(s)
- Rongrong Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China
| | - Zhigang Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Nianfeng Qian
- Hai Dian Maternal & Child Health Hospital, Beijing, China
| | - Yan Qian
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Zhanshan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jianhao Peng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaojing Zhu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaoqian Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Qiujin Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, China.
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13
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Paquette AG, Lapehn S, Freije S, MacDonald J, Bammler T, Day DB, Loftus CT, Kannan K, Alex Mason W, Bush NR, LeWinn KZ, Enquobahrie DA, Marsit C, Sathyanarayana S. Placental transcriptomic signatures of prenatal exposure to Hydroxy-Polycyclic aromatic hydrocarbons. ENVIRONMENT INTERNATIONAL 2023; 172:107763. [PMID: 36689866 PMCID: PMC10211546 DOI: 10.1016/j.envint.2023.107763] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 01/16/2023] [Accepted: 01/17/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants originating from petrogenic and pyrogenic sources. PAH compounds can cross the placenta, and prenatal PAH exposure is linked to adverse infant and childhood health outcomes. OBJECTIVE In this first human transcriptomic assessment of PAHs in the placenta, we examined associations between prenatal PAH exposure and placental gene expression to gain insight into mechanisms by which PAHs may disrupt placental function. METHODS The ECHO PATHWAYS Consortium quantified prenatal PAH exposure and the placental transcriptome from 629 pregnant participants enrolled in the CANDLE study. Concentrations of 12 monohydroxy-PAH (OH-PAH) metabolites were measured in mid-pregnancy urine using high performance liquid chromatography tandem mass spectrometry. Placental transcriptomic data were obtained using paired-end RNA sequencing. Linear models were fitted to estimate covariate-adjusted associations between maternal urinary OH-PAHs and placental gene expression. We performed sex-stratified analyses to evaluate whether associations varied by fetal sex. Selected PAH/gene expression analyses were validated by treating HTR-8/SVneo cells with phenanthrene, and quantifying expression via qPCR. RESULTS Urinary concentrations of 6 OH-PAHs were associated with placental expression of 8 genes. Three biological pathways were associated with 4 OH-PAHs. Placental expression of SGF29 and TRIP13 as well as the vitamin digestion and absorption pathway were positively associated with multiple metabolites. HTR-8/SVneo cells treated with phenanthrene also exhibited 23 % increased TRIP13 expression compared to vehicle controls (p = 0.04). Fetal sex may modify the relationship between prenatal OH-PAHs and placental gene expression, as more associations were identified in females than males (45 vs 28 associations). DISCUSSION Our study highlights novel genes whose placental expression may be disrupted by OH-PAHs. Increased expression of DNA damage repair gene TRIP13 may represent a response to double-stranded DNA breaks. Increased expression of genes involved in vitamin digestion and metabolism may reflect dietary exposures or represent a compensatory mechanism to combat damage related to OH-PAH toxicity. Further work is needed to study the role of these genes in placental function and their links to perinatal outcomes and lifelong health.
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Affiliation(s)
- Alison G Paquette
- Seattle Children's Research Institute, Seattle, WA, USA; University of Washington, Seattle, WA, USA.
| | | | | | | | | | - Drew B Day
- Seattle Children's Research Institute, Seattle, WA, USA
| | | | | | - W Alex Mason
- University of Tennessee Health Sciences Center, Memphis, TN, USA
| | - Nicole R Bush
- University of California San Francisco, San Francisco CA, USA
| | - Kaja Z LeWinn
- University of California San Francisco, San Francisco CA, USA
| | | | | | - Sheela Sathyanarayana
- Seattle Children's Research Institute, Seattle, WA, USA; University of Washington, Seattle, WA, USA
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14
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Yin F, Ge P, Wei W, Wang H, Cheng Y, Zhao F, Li D. WITHDRAWN: Human placental barrier-brain organoid-on-a-chip for modeling maternal PM2.5 exposure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022:160565. [PMID: 36464052 DOI: 10.1016/j.scitotenv.2022.160565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Affiliation(s)
- Fangchao Yin
- Medical School, Nantong University, Nantong 226001, China; School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China; Key Laboratory for Applied Technology of Sophisticated Analytical Instrument of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Science), Jinan, 250014, China
| | - Pinghua Ge
- Shanghai Yuanhao Environmental Technology Co., Ltd., Shanghai 201100, China
| | - Wenbo Wei
- First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - Hui Wang
- Medical School, Nantong University, Nantong 226001, China; Institute of Cancer Stem Cell, Dalian Medical University, Dalian 116044, China
| | - Yan Cheng
- Medical School, Nantong University, Nantong 226001, China; Institute of Cancer Stem Cell, Dalian Medical University, Dalian 116044, China
| | - Feng Zhao
- College of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China.
| | - Dong Li
- Medical School, Nantong University, Nantong 226001, China.
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15
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Schrott R, Song A, Ladd-Acosta C. Epigenetics as a Biomarker for Early-Life Environmental Exposure. Curr Environ Health Rep 2022; 9:604-624. [PMID: 35907133 DOI: 10.1007/s40572-022-00373-5] [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] [Accepted: 06/27/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW There is interest in evaluating the developmental origins of health and disease (DOHaD) which emphasizes the role of prenatal and early-life environments on non-communicable health outcomes throughout the life course. The ability to rigorously assess and identify early-life risk factors for later health outcomes, including those with childhood onset, in large population samples is often limited due to measurement challenges such as impractical costs associated with prospective studies with a long follow-up duration, short half-lives for some environmental toxicants, and lack of biomarkers that capture inter-individual differences in biologic response to external environments. RECENT FINDINGS Epigenomic patterns, and DNA methylation in particular, have emerged as a potential objective biomarker to address some of these study design and exposure measurement challenges. In this article, we summarize the literature to date on epigenetic changes associated with specific prenatal and early-life exposure domains as well as exposure mixtures in human observational studies and their biomarker potential. Additionally, we highlight evidence for other types of epigenetic patterns to serve as exposure biomarkers. Evidence strongly supports epigenomic biomarkers of exposure that are detectable across the lifespan and across a range of exposure domains. Current and future areas of research in this field seek to expand these lines of evidence to other environmental exposures, to determine their specificity, and to develop predictive algorithms and methylation scores that can be used to evaluate early-life risk factors for health outcomes across the life span.
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Affiliation(s)
- Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ashley Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
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16
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Zheng J, Wang Y, Mao B, Li Y, Li J, Yang J, Meng Z, Luo B. The psychological status mediates the effect of indoor air pollution on recurrent spontaneous abortion. ENVIRONMENTAL RESEARCH 2022; 215:114220. [PMID: 36049508 DOI: 10.1016/j.envres.2022.114220] [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: 01/05/2022] [Revised: 07/30/2022] [Accepted: 08/24/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Indoor air pollution (IAP) exposure and psychological status have been recognized as important risk factors for adverse pregnancy outcomes, but their mediating effects on recurrent spontaneous abortion (RSA) have not been analyzed. Therefore, the purpose of this study is to explore the association between IAP and RSA and to examine the mediating effect of psychological status on their association. METHODS This study included 830 RSA cases and 2156 controls in Gansu province, China. The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) questionnaires were used to collect information on participants' psychological status. The IAP exposure was collected by the survey on cooking fuel use, kitchen ventilation characteristics, cooking styles, and indoor smoking, etc. Multivariable logistic regression was used to examine the associations between IAP exposure and RSA. The mediation analysis was used to evaluate the mediation effects of IAP and psychological status on RSA while controlling for confounding. RESULTS Among these cases, 16.87% cooked with unclean cooking fuel (UCF) and 37.00% lacked cooking ventilation, which was much higher than the controls. Active smoking and the use of UCF were associated with RSA, with an odds ratio (OR) of 3.374 [95% confidence interval (CI): 1.510-7.541] and 1.822 (95% CI: 1.328-2.500), respectively. We found that the use of a range hood was a protective factor for RSA, with an OR of 0.590 (95% CI: 0.463-0.752). There was a significant mediation effect of depression on the association between IAP and RSA, which accounted for 5.61%-9.22% of the total effect of IAP on RSA. CONCLUSION The IAP may be an important risk factor for RSA, which may be intensified by the poor psychological status, and the use of ventilation equipment when cooking is a protective factor for RSA.
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Affiliation(s)
- Jie Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Yanxia Wang
- Department of Scientific Research Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Baohong Mao
- Department of Scientific Research Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Yamei Li
- Department of Scientific Research Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Jing Li
- Department of Scientific Research Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Jie Yang
- Department of Reproductive Medicine Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Zhaoyan Meng
- Department of Reproductive Medicine Center of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China.
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China.
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17
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Starling AP, Wood C, Liu C, Kechris K, Yang IV, Friedman C, Thomas DSK, Peel JL, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Dabelea D. Ambient air pollution during pregnancy and DNA methylation in umbilical cord blood, with potential mediation of associations with infant adiposity: The Healthy Start study. ENVIRONMENTAL RESEARCH 2022; 214:113881. [PMID: 35835166 PMCID: PMC10402394 DOI: 10.1016/j.envres.2022.113881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 06/11/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Prenatal exposure to ambient air pollution has been associated with adverse offspring health outcomes. Childhood health effects of prenatal exposures may be mediated through changes to DNA methylation detectable at birth. METHODS Among 429 non-smoking women in a cohort study of mother-infant pairs in Colorado, USA, we estimated associations between prenatal exposure to ambient fine particulate matter (PM2.5) and ozone (O3), and epigenome-wide DNA methylation of umbilical cord blood cells at delivery (2010-2014). We calculated average PM2.5 and O3 in each trimester of pregnancy and the full pregnancy using inverse-distance-weighted interpolation. We fit linear regression models adjusted for potential confounders and cell proportions to estimate associations between air pollutants and methylation at each of 432,943 CpGs. Differentially methylated regions (DMRs) were identified using comb-p. Previously in this cohort, we reported positive associations between 3rd trimester O3 exposure and infant adiposity at 5 months of age. Here, we quantified the potential for mediation of that association by changes in DNA methylation in cord blood. RESULTS We identified several DMRs for each pollutant and period of pregnancy. The greatest number of significant DMRs were associated with third trimester PM2.5 (21 DMRs). No single CpGs were associated with air pollutants at a false discovery rate <0.05. We found that up to 8% of the effect of 3rd trimester O3 on 5-month adiposity may be mediated by locus-specific methylation changes, but mediation estimates were not statistically significant. CONCLUSIONS Differentially methylated regions in cord blood were identified in association with maternal exposure to PM2.5 and O3. Genes annotated to the significant sites played roles in cardiometabolic disease, immune function and inflammation, and neurologic disorders. We found limited evidence of mediation by DNA methylation of associations between third trimester O3 exposure and 5-month infant adiposity.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Cheyret Wood
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Cuining Liu
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA; Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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18
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LeWinn KZ, Karr CJ, Hazlehurst M, Carroll K, Loftus C, Nguyen R, Barrett E, Swan SH, Szpiro AA, Paquette A, Moore P, Spalt E, Younglove L, Sullivan A, Colburn T, Byington N, Sims Taylor L, Moe S, Wang S, Cordeiro A, Mattias A, Powell J, Johnson T, Norona-Zhou A, Mason A, Bush NR, Sathyanarayana S. Cohort profile: the ECHO prenatal and early childhood pathways to health consortium (ECHO-PATHWAYS). BMJ Open 2022; 12:e064288. [PMID: 36270755 PMCID: PMC9594508 DOI: 10.1136/bmjopen-2022-064288] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
PURPOSE Exposures early in life, beginning in utero, have long-term impacts on mental and physical health. The ECHO prenatal and early childhood pathways to health consortium (ECHO-PATHWAYS) was established to examine the independent and combined impact of pregnancy and childhood chemical exposures and psychosocial stressors on child neurodevelopment and airway health, as well as the placental mechanisms underlying these associations. PARTICIPANTS The ECHO-PATHWAYS consortium harmonises extant data from 2684 mother-child dyads in three pregnancy cohort studies (CANDLE [Conditions Affecting Neurocognitive Development and Learning in Early Childhood], TIDES [The Infant Development and Environment Study] and GAPPS [Global Alliance to Prevent Prematurity and Stillbirth]) and collects prospective data under a unified protocol. Study participants are socioeconomically diverse and include a large proportion of Black families (38% Black and 51% White), often under-represented in research. Children are currently 5-15 years old. New data collection includes multimodal assessments of primary outcomes (airway health and neurodevelopment) and exposures (air pollution, phthalates and psychosocial stress) as well as rich covariate characterisation. ECHO-PATHWAYS is compiling extant and new biospecimens in a central biorepository and generating the largest placental transcriptomics data set to date (N=1083). FINDINGS TO DATE Early analyses demonstrate adverse associations of prenatal exposure to air pollution, phthalates and maternal stress with early childhood airway outcomes and neurodevelopment. Placental transcriptomics work suggests that phthalate exposure alters placental gene expression, pointing to mechanistic pathways for the developmental toxicity of phthalates. We also observe associations between prenatal maternal stress and placental corticotropin releasing hormone, a marker of hormonal activation during pregnancy relevant for child health. Other publications describe novel methods for examining exposure mixtures and the development of a national spatiotemporal model of ambient outdoor air pollution. FUTURE PLANS The first wave of data from the unified protocol (child age 8-9) is nearly complete. Future work will leverage these data to examine the combined impact of early life social and chemical exposures on middle childhood health outcomes and underlying placental mechanisms.
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Affiliation(s)
- Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Catherine J Karr
- Department of Environmental and Occupational Health Sciences and Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Marnie Hazlehurst
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Kecia Carroll
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christine Loftus
- Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Ruby Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota System, Minneapolis, Minnesota, USA
| | - Emily Barrett
- Department of Biostatistics and Epidemiology, Environmental and Occupational Health Sciences Institute (EOHSI), Rutgers School of Public Health, Rutgers University, Piscataway, New Jersey, USA
| | - Shanna H Swan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Alison Paquette
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, Washington, USA
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Paul Moore
- Division of Allergy, Immunology, and Pulmonology and the Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elizabeth Spalt
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Lisa Younglove
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Alexis Sullivan
- Center for Health and Community, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Trina Colburn
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Nora Byington
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Lauren Sims Taylor
- Department of Preventive Medicine, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Stacey Moe
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota System, Minneapolis, Minnesota, USA
| | - Sarah Wang
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Alana Cordeiro
- Center for Health and Community, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Aria Mattias
- Department of Envrionmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jennifer Powell
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Tye Johnson
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York, USA
| | - Amanda Norona-Zhou
- Center for Health and Community, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Alex Mason
- Department of Preventive Medicine, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences and the Department of Pediatrics, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Sheela Sathyanarayana
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington, USA
- Department of Environmental and Occupational Health Sciences, School of Public Health; Department of Pediatrics, School of Medicine, University of Washington, Seattle, Washington, USA
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19
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Kaur K, Lesseur C, Deyssenroth MA, Kloog I, Schwartz JD, Marsit CJ, Chen J. PM 2.5 exposure during pregnancy is associated with altered placental expression of lipid metabolic genes in a US birth cohort. ENVIRONMENTAL RESEARCH 2022; 211:113066. [PMID: 35248564 PMCID: PMC9177798 DOI: 10.1016/j.envres.2022.113066] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 05/31/2023]
Abstract
Inhalation of ambient PM2.5, shown to be able to cross the placenta, has been linked to adverse obstetric and postnatal metabolic health outcomes. The placenta regulates fetal growth and influences postnatal development via fetal programming. Placental gene expression may be influenced by intrauterine exposures to PM2.5. Herein, we explore whether maternal PM2.5 exposure during pregnancy alters placental gene expression related to lipid and glucose metabolism in a U.S. birth cohort, the Rhode Island Child Health Study (RICHS). Average PM2.5 exposure level was estimated linking residential addresses and satellite data across the three trimesters using spatio-temporal models. Based on Gene Ontology annotations, we curated a list of 657 lipid and glucose metabolism genes. We conducted a two-staged analysis by leveraging placental RNA-Seq data from 148 subjects to identify top dysregulated metabolic genes associated with PM2.5 (Phase I) and then validated the results in placental samples from 415 participants of the cohort using RT-qPCR (Phase II). Associations between PM2.5 and placental gene expression were explored using multivariable linear regression models in the overall population and in sex-stratified analyses. The average level of PM2.5 exposure across pregnancy was 8.0μg/m3, which is below the national standard of 12μg/m3. Phase I revealed that expression levels of 32 out of the curated list of 657 genes were significantly associated with PM2.5 exposure (FDR P<0.01), 28 genes showed differential expression modified by sex of the infant. Five of these genes (ABHD3, ATP11A, CLTCL1, ST6GALNAC4 and PSCA) were validated using RT-qPCR. Associations were stronger in placentas from male births compared to females, indicating a sex-dependent effect. These genes are involved in inflammation, lipid transport, cell-cell communication or cell invasion. Our results suggest that gestational PM2.5 exposure may alter placental metabolic function. However, whether it confers long-term programming effects postnatally, especially in a sex-specific matter, warrants further studies.
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Affiliation(s)
- Kirtan Kaur
- Department of Environmental Medicine, School of Medicine, NYU Langone Health, New York, NY, USA
| | - Corina Lesseur
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maya A Deyssenroth
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben Gurion University, Beersheba, 8410501, Israel
| | - Joel D Schwartz
- Department of Environmental Health, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, GA, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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20
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Nyadanu SD, Dunne J, Tessema GA, Mullins B, Kumi-Boateng B, Lee Bell M, Duko B, Pereira G. Prenatal exposure to ambient air pollution and adverse birth outcomes: An umbrella review of 36 systematic reviews and meta-analyses. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119465. [PMID: 35569625 DOI: 10.1016/j.envpol.2022.119465] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 04/12/2022] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Multiple systematic reviews and meta-analyses linked prenatal exposure to ambient air pollutants to adverse birth outcomes with mixed findings, including results indicating positive, negative, and null associations across the pregnancy periods. The objective of this study was to systematically summarise systematic reviews and meta-analyses on air pollutants and birth outcomes to assess the overall epidemiological evidence. Systematic reviews with/without meta-analyses on the association between air pollutants (NO2, CO, O3, SO2, PM2.5, and PM10) and birth outcomes (preterm birth; stillbirth; spontaneous abortion; birth weight; low birth weight, LBW; small-for-gestational-age) up to March 30, 2022 were included. We searched PubMed, CINAHL, Scopus, Medline, Embase, and the Web of Science Core Collection, systematic reviews repositories, grey literature databases, internet search engines, and references of included studies. The consistency in the directions of the effect estimates was classified as more consistent positive or negative, less consistent positive or negative, unclear, and consistently null. Next, the confidence in the direction was rated as either convincing, probable, limited-suggestive, or limited non-conclusive evidence. Final synthesis included 36 systematic reviews (21 with and 15 without meta-analyses) that contained 295 distinct primary studies. PM2.5 showed more consistent positive associations than other pollutants. The positive exposure-outcome associations based on the entire pregnancy period were more consistent than trimester-specific exposure averages. For whole pregnancy exposure, a more consistent positive association was found for PM2.5 and birth weight reductions, particulate matter and spontaneous abortion, and SO2 and LBW. Other exposure-outcome associations mostly showed less consistent positive associations and few unclear directions of associations. Almost all associations showed probable evidence. The available evidence indicates plausible causal effects of criteria air pollutants on birth outcomes. To strengthen the evidence, more high-quality studies are required, particularly from understudied settings, such as low-and-middle-income countries. However, the current evidence may warrant the adoption of the precautionary principle.
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Affiliation(s)
- Sylvester Dodzi Nyadanu
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia; Education, Culture, and Health Opportunities (ECHO) Ghana, ECHO Research Group International, P. O. Box 424, Aflao, Ghana.
| | - Jennifer Dunne
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Gizachew Assefa Tessema
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia; School of Public Health, University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Ben Mullins
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Bernard Kumi-Boateng
- Department of Geomatic Engineering, University of Mines and Technology, P. O. Box 237, Tarkwa, Ghana
| | - Michelle Lee Bell
- School of the Environment, Yale University, New Haven, CT, 06511, USA
| | - Bereket Duko
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, 0473, Oslo, Norway; enAble Institute, Curtin University, Perth, Kent Street, Bentley, Western Australia, 6102, Australia
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21
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Enquobahrie DA, MacDonald J, Hussey M, Bammler TK, Loftus CT, Paquette AG, Byington N, Marsit CJ, Szpiro A, Kaufman JD, LeWinn KZ, Bush NR, Tylavsky F, Karr CJ, Sathyanarayana S. Prenatal exposure to particulate matter and placental gene expression. ENVIRONMENT INTERNATIONAL 2022; 165:107310. [PMID: 35653832 PMCID: PMC9235522 DOI: 10.1016/j.envint.2022.107310] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/13/2022] [Accepted: 05/16/2022] [Indexed: 05/30/2023]
Abstract
BACKGROUND While strong evidence supports adverse maternal and offspring consequences of air pollution, mechanisms that involve the placenta, a key part of the intrauterine environment, are largely unknown. Previous studies of air pollution and placental gene expression were small candidate gene studies that rarely considered prenatal windows of exposure or the potential role of offspring sex. We examined overall and sex-specific associations of prenatal exposure to fine particulate matter (PM2.5) with genome-wide placental gene expression. METHODS Participants with placenta samples, collected at birth, and childhood health outcomes from CANDLE (Memphis, TN) (n = 776) and GAPPS (Seattle, WA) (n = 205) cohorts of the ECHO-PATHWAYS Consortium were included in this study. PM2.5 exposures during trimesters 1, 2, 3, and the first and last months of pregnancy, were estimated using a spatiotemporal model. Cohort-specific linear adjusted models were fit for each exposure window and expression of >11,000 protein coding genes from paired end RNA sequencing data. Models with interaction terms were used to examine PM2.5-offspring sex interactions. False discovery rate (FDR < 0.10) was used to correct for multiple testing. RESULTS Mean PM2.5 estimate was 10.5-10.7 μg/m3 for CANDLE and 6.0-6.3 μg/m3 for GAPPS participants. In CANDLE, expression of 13 (11 upregulated and 2 downregulated), 20 (11 upregulated and 9 downregulated) and 3 (2 upregulated and 1 downregulated) genes was associated with PM2.5 in the first trimester, second trimester, and first month, respectively. While we did not find any statistically significant association, overall, between PM2.5 and gene expression in GAPPS, we found offspring sex and first month PM2.5 interaction for DDHD1 expression (positive association among males and inverse association among females). We did not observe PM2.5 and offspring sex interactions in CANDLE. CONCLUSION In CANDLE, but not GAPPS, we found that prenatal PM2.5 exposure during the first half of pregnancy is associated with placental gene expression.
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Affiliation(s)
- Daniel A Enquobahrie
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.
| | - James MacDonald
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Michael Hussey
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States
| | - Theo K Bammler
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Christine T Loftus
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Alison G Paquette
- Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA, United States; Seattle Children's Research Institute, Seattle, WA, United States
| | - Nora Byington
- Seattle Children's Research Institute, Seattle, WA, United States
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Adam Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States
| | - Joel D Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, San Francisco, San Francisco, CA, United States; Department of Pediatrics, School of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Frances Tylavsky
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Catherine J Karr
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States; Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA, United States
| | - Sheela Sathyanarayana
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, United States; Department of Pediatrics, School of Medicine, University of Washington, Seattle, WA, United States; Seattle Children's Research Institute, Seattle, WA, United States
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22
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Multiomics to elucidate inflammatory bowel disease risk factors and pathways. Nat Rev Gastroenterol Hepatol 2022; 19:399-409. [PMID: 35301463 PMCID: PMC9214275 DOI: 10.1038/s41575-022-00593-y] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/21/2022] [Indexed: 02/07/2023]
Abstract
Inflammatory bowel disease (IBD) is an immune-mediated disease of the intestinal tract, with complex pathophysiology involving genetic, environmental, microbiome, immunological and potentially other factors. Epidemiological data have provided important insights into risk factors associated with IBD, but are limited by confounding, biases and data quality, especially when pertaining to risk factors in early life. Multiomics platforms provide granular high-throughput data on numerous variables simultaneously and can be leveraged to characterize molecular pathways and risk factors for chronic diseases, such as IBD. Herein, we describe omics platforms that can advance our understanding of IBD risk factors and pathways, and available omics data on IBD and other relevant diseases. We highlight knowledge gaps and emphasize the importance of birth, at-risk and pre-diagnostic cohorts, and neonatal blood spots in omics analyses in IBD. Finally, we discuss network analysis, a powerful bioinformatics tool to assemble high-throughput data and derive clinical relevance.
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23
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Lapehn S, Paquette AG. The Placental Epigenome as a Molecular Link Between Prenatal Exposures and Fetal Health Outcomes Through the DOHaD Hypothesis. Curr Environ Health Rep 2022; 9:490-501. [PMID: 35488174 PMCID: PMC9363315 DOI: 10.1007/s40572-022-00354-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2022] [Indexed: 12/31/2022]
Abstract
Purpose of Review The developmental origins of health and disease (DOHaD) hypothesis posits that the perinatal environment can impact fetal and later life health. The placenta is uniquely situated to assess prenatal exposures in the context of DOHaD because it is an essential ephemeral fetal organ that manages the transport of oxygen, nutrients, waste, and endocrine signals between the mother and fetus. The purpose of this review is to summarize recent studies that evaluated the DOHaD hypothesis in human placentas using epigenomics, including DNA methylation and transcriptomic studies of mRNA, lncRNA, and microRNAs. Recent Findings Between 2016 and 2021, 28 articles evaluated associations between prenatal exposures and placental epigenomics across broad exposure categories including maternal smoking, psychosocial stressors, chemicals, air pollution, and metals. Sixteen of these studies connected exposures to health outcome such as birth weight, fetal growth, or infant neurobehavior through mediation analysis, identification of shared associations between exposure and outcome, or network analysis. These aspects of infant and childhood health serve as a foundation for future studies that aim to use placental epigenetics to understand relationships between the prenatal environment and perinatal complications (such as preterm birth or fetal growth restriction) or later life childhood health. Summary Placental DNA methylation and RNA expression have been linked to numerous prenatal exposures, such as PM2.5 air pollution, metals, and maternal smoking, as well as infant and childhood health outcomes, including fetal growth and birth weight. Placental epigenomics provides a unique opportunity to expand the DOHaD premise, particularly if research applies novel methodologies such as multi-omics analysis, sequencing of non-coding RNAs, mixtures analysis, and assessment of health outcomes beyond early childhood.
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Affiliation(s)
- Samantha Lapehn
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, 1900 9th Avenue, Seattle, WA, 98101, USA
| | - Alison G Paquette
- Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, 1900 9th Avenue, Seattle, WA, 98101, USA. .,Department of Pediatrics, University of Washington, Seattle, WA, USA.
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24
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Abstract
In this interview, Professor Karl Kelsey speaks with Storm Johnson, Commissioning Editor for Epigenomics, on his work to date in the field of environmental epigenomics and epidemiology. Dr Karl Kelsey, MD, MOH is a Professor of Epidemiology and Pathology and Laboratory Medicine at Brown University. He is the Founding Director of the Center for Environmental Health and Technology and Head of the Environmental Health Section at the Department of Epidemiology. Dr Kelsey is interested in the application of laboratory-based biomarkers in environmental disease, with experience in chronic disease epidemiology and tumor biology. The goals of his work include a mechanistic understanding of individual susceptibility to exposure-related cancers. In addition, his laboratory is interested in tumor biology, investigating somatic alterations in tumor tissue from the patients who have developed exposure-related cancers. This work involves the use of an epidemiologic approach to characterize epigenetic and genetic alteration of genes in the causal pathway for malignancy. Active work includes several studies of individual susceptibility to cancer. Dr Kelsey's laboratory mainly investigates susceptibility to smoking-related lung cancer and studies multi-racial and ethnic populations. In addition, the laboratory is also involved with the study of inherited susceptibility to brain tumors and pancreatic cancer. Major case control studies that are ongoing in the laboratory include studies designed to understand inherited and acquired susceptibility in head and neck cancers. The laboratory is also involved in a case control study of asbestos-associated mesothelioma, arsenic exposure, cigarette smoking and bladder cancer. Considerable work is being devoted to understanding the mechanisms of action of both asbestos and arsenic including their ability to affect promoter methylation and gene silencing in carcinogenesis. Recent laboratory studies includes an interest in using newly developed DNA methylation biomarkers to probe immune profiles from archived blood. Dr Kelsey received his MD from the University of Minnesota and Masters of Occupational Health from Harvard University.
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Affiliation(s)
- Karl Kelsey
- Department of Epidemiology, Pathology & Laboratory Medicine, Brown University, RI 02912, USA
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25
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Rosenfeld CS. Transcriptomics and Other Omics Approaches to Investigate Effects of Xenobiotics on the Placenta. Front Cell Dev Biol 2021; 9:723656. [PMID: 34631709 PMCID: PMC8497882 DOI: 10.3389/fcell.2021.723656] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 08/31/2021] [Indexed: 12/25/2022] Open
Abstract
The conceptus is most vulnerable to developmental perturbation during its early stages when the events that create functional organ systems are being launched. As the placenta is in direct contact with maternal tissues, it readily encounters any xenobiotics in her bloodstream. Besides serving as a conduit for solutes and waste, the placenta possesses a tightly regulated endocrine system that is, of itself, vulnerable to pharmaceutical agents, endocrine disrupting chemicals (EDCs), and other environmental toxicants. To determine whether extrinsic factors affect placental function, transcriptomics and other omics approaches have become more widely used. In casting a wide net with such approaches, they have provided mechanistic insights into placental physiological and pathological responses and how placental responses may impact the fetus, especially the developing brain through the placenta-brain axis. This review will discuss how such omics technologies have been utilized to understand effects of EDCs, including the widely prevalent plasticizers bisphenol A (BPA), bisphenol S (BPS), and phthalates, other environmental toxicants, pharmaceutical agents, maternal smoking, and air pollution on placental gene expression, DNA methylation, and metabolomic profiles. It is also increasingly becoming clear that miRNA (miR) are important epigenetic regulators of placental function. Thus, the evidence to date that xenobiotics affect placental miR expression patterns will also be explored. Such omics approaches with mouse and human placenta will assuredly provide key biomarkers that may be used as barometers of exposure and can be targeted by early mitigation approaches to prevent later diseases, in particular neurobehavioral disorders, originating due to placental dysfunction.
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Affiliation(s)
- Cheryl S Rosenfeld
- Biomedical Sciences, University of Missouri, Columbia, MO, United States.,MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.,Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, MO, United States.,Genetics Area Program, University of Missouri, Columbia, MO, United States
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