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Shaw GM, Gonzalez DJX, Goin DE, Weber KA, Padula AM. Ambient Environment and the Epidemiology of Preterm Birth. Clin Perinatol 2024; 51:361-377. [PMID: 38705646 DOI: 10.1016/j.clp.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Preterm birth (PTB) is associated with substantial mortality and morbidity. We describe environmental factors that may influence PTB risks. We focus on exposures associated with an individual's ambient environment, such as air pollutants, water contaminants, extreme heat, and proximities to point sources (oil/gas development or waste sites) and greenspace. These exposures may further vary by other PTB risk factors such as social constructs and stress. Future examinations of risks associated with ambient environment exposures would benefit from consideration toward multiple exposures - the exposome - and factors that modify risk including variations associated with the structural genome, epigenome, social stressors, and diet.
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Affiliation(s)
- Gary M Shaw
- Epidemiology and Population Health, Obstetrics & Gynecology - Maternal Fetal Medicine, Department of Pediatrics, Stanford University School of Medicine, Center for Academic Medicine (CAM), 453 Quarry Road, Stanford, CA 94304, USA.
| | - David J X Gonzalez
- Division of Environmental Health Sciences, School of Public Health, University of California, 2121 Berkeley Way, CA 94720, USA
| | - Dana E Goin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA
| | - Kari A Weber
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, RAHN 6219, Rock, AR 72205, USA
| | - Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, 490 Illinois Street, #103N, San Francisco, CA 94158, USA
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Merrill AK, Sobolewski M, Susiarjo M. Exposure to endocrine disrupting chemicals impacts immunological and metabolic status of women during pregnancy. Mol Cell Endocrinol 2023; 577:112031. [PMID: 37506868 PMCID: PMC10592265 DOI: 10.1016/j.mce.2023.112031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 07/30/2023]
Affiliation(s)
- Alyssa K Merrill
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA
| | - Marissa Sobolewski
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA
| | - Martha Susiarjo
- Department of Environmental Medicine, University of Rochester School of Medicine, Rochester, NY, USA.
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Enderle I, Costet N, Cognez N, Zaros C, Caudeville J, Garlantezec R, Chevrier C, Nougadere A, De Lauzon-Guillain B, Le Lous M, Beranger R. Prenatal exposure to pesticides and risk of preeclampsia among pregnant women: Results from the ELFE cohort. ENVIRONMENTAL RESEARCH 2021; 197:111048. [PMID: 33766571 DOI: 10.1016/j.envres.2021.111048] [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: 11/01/2020] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Preeclampsia is a pregnancy-specific syndrome caused by abnormal placentation. Although environmental chemicals, including some pesticides, are suspected of impairing placentation and promoting preeclampsia, its relationship with preeclampsia has been insufficiently explored. OBJECTIVES We aimed to investigate the relation between non-occupational exposure to pesticides during pregnancy and the risk of preeclampsia. METHODS The study cohort comprised 195 women with and 17,181 without preeclampsia from the ELFE birth cohort. We used toxicogenomic approaches to select 41 pesticides of interest for their possible influence on preeclampsia. We assessed household pesticide use (self-reported data), environmental exposure to agricultural pesticides (geographic information systems), and dietary exposure (food-frequency questionnaire with data from monitoring pesticide residues in food and water). Dietary exposures to pesticides were grouped into clusters of similar exposures to resolve collinearity issues. For each exposure source, pesticides were mutually adjusted, and odds ratios estimated with logistic regression models. RESULTS The quantity of prochloraz applied within a kilometer of the women's homes was higher in women with than without preeclampsia (fourth quartile vs. others; adjusted odds ratio [aOR] = 1.54; 95%CI: 1.02, 2.35), especially when preeclampsia was diagnosed before 34 weeks of gestation (aOR = 2.25; 95%CI: 1.01, 5.06). The reverse was observed with nearby cypermethrin application (aOR = 0.59, 95%CI: 0.36, 0.96). In sensitivity analyses, women with preeclampsia receiving antihypertensive treatment had a significantly higher probability of using herbicides at home during pregnancy than women without preeclampsia (aOR = 2.20; 95%CI: 1.23, 3.93). No statistically significant association was found between dietary exposure to pesticide residues and preeclampsia. DISCUSSION While the most of the associations examined remained statistically non-significant, our results suggest the possible influence on preeclampsia of residential exposures to prochloraz and some herbicides. These estimations are supported by toxicological and mechanistic data.
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Affiliation(s)
- Isabelle Enderle
- CHU Rennes, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000, Rennes, France; Department of Obstetrics and Gynecology and Reproductive Medicine, Anne de Bretagne University Hospital, Rennes, France.
| | - Nathalie Costet
- Univ Rennes, Inserm, EHESP, Irset - UMR_S 1085, F-35000, Rennes, France
| | - Noriane Cognez
- Univ Rennes, Inserm, EHESP, Irset - UMR_S 1085, F-35000, Rennes, France
| | - Cécile Zaros
- French Institute for Demographic Studies (Ined), French Institute for Medical Research and Health (Inserm), French Blood Agency, ELFE Joint Unit, F-75020, Paris, France
| | - Julien Caudeville
- INERIS (French National Institute for Industrial Environment and Risks), 60550, Verneuil-en-Halatte, France
| | - Ronan Garlantezec
- CHU Rennes, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000, Rennes, France
| | - Cécile Chevrier
- Univ Rennes, Inserm, EHESP, Irset - UMR_S 1085, F-35000, Rennes, France
| | - Alexandre Nougadere
- ANSES, Risk Assessment Department, 14 Rue Pierre et Marie Curie, F-94701, Maisons-Alfort, France
| | | | - Maela Le Lous
- Department of Obstetrics and Gynecology and Reproductive Medicine, Anne de Bretagne University Hospital, Rennes, France
| | - Rémi Beranger
- CHU Rennes, Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000, Rennes, France; Department of Obstetrics and Gynecology and Reproductive Medicine, Anne de Bretagne University Hospital, Rennes, France
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Greenspace, Air Pollution, Neighborhood Factors, and Preeclampsia in a Population-Based Case-Control Study in California. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105127. [PMID: 34066190 PMCID: PMC8151979 DOI: 10.3390/ijerph18105127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 12/26/2022]
Abstract
To investigate preeclampsia etiologies, we examined relationships between greenspace, air pollution, and neighborhood factors. Data were from hospital records and geocoded residences of 77,406 women in San Joaquin Valley, California from 2000 to 2006. Preeclampsia was divided into mild, severe, or superimposed onto pre-existing hypertension. Greenspace within 100 and 500 m residential buffers was estimated from satellite data using normalized difference vegetation index (NDVI). Air quality data were averaged over pregnancy from daily 24-h averages of nitrogen dioxide, particulate matter <10 µm (PM10) and <2.5 µm (PM2.5), and carbon monoxide. Neighborhood socioeconomic (SES) factors included living below the federal poverty level and median annual income using 2000 US Census data. Odds of preeclampsia were estimated using logistic regression. Effect modification was assessed using Wald tests. More greenspace (500 m) was inversely associated with superimposed preeclampsia (OR = 0.57). High PM2.5 and low SES were associated with mild and severe preeclampsia. We observed differences in associations between greenspace (500 m) and superimposed preeclampsia by neighborhood income and between greenspace (500 m) and severe preeclampsia by PM10, overall and among those living in higher SES neighborhoods. Less greenspace, high particulate matter, and high-poverty/low-income neighborhoods were associated with preeclampsia, and effect modification was observed between these exposures. Further research into exposure combinations and preeclampsia is warranted.
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Sherris AR, Baiocchi M, Fendorf S, Luby SP, Yang W, Shaw GM. Nitrate in Drinking Water during Pregnancy and Spontaneous Preterm Birth: A Retrospective Within-Mother Analysis in California. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:57001. [PMID: 33949893 PMCID: PMC8098122 DOI: 10.1289/ehp8205] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
BACKGROUND Nitrate is a widespread groundwater contaminant and a leading cause of drinking water quality violations in California. Associations between nitrate exposure and select adverse birth outcomes have been suggested, but few studies have examined gestational exposures to nitrate and risk of preterm birth (before 37 wk gestation). OBJECTIVE We investigated the association between elevated nitrate in drinking water and spontaneous preterm birth through a within-mother retrospective cohort study of births in California. METHODS We acquired over 6 million birth certificate records linked with Office of Statewide Health Planning and Development hospital discharge data for California births from 2000-2011. We used public water system monitoring records to estimate nitrate concentrations in drinking water for each woman's residence during gestation. After exclusions, we constructed a sample of 1,443,318 consecutive sibling births in order to conduct a within-mother analysis. We used separate conditional logistic regression models to estimate the odds of preterm birth at 20-31 and 32-36 wk, respectively, among women whose nitrate exposure changed between consecutive pregnancies. RESULTS Spontaneous preterm birth at 20-31 wk was increased in association with tap water nitrate concentrations during pregnancy of 5 to <10mg/L [odds ratio (OR)=1.47; 95% confidence interval (CI): 1.29, 1.67] and ≥10mg/L (OR=2.52; 95% CI: 1.49, 4.26) compared with <5mg/L (as nitrogen). Corresponding estimates for spontaneous preterm birth at 32-36 wk were positive but close to the null for 5 to <10mg/L nitrate (OR=1.08; 95% CI: 1.02, 1.15) and for ≥10mg/L nitrate (OR=1.05; 95% CI: 0.85, 1.31) vs. <5mg/L nitrate. Our findings were similar in several secondary and sensitivity analyses, including in a conventional individual-level design. DISCUSSION The results suggest that nitrate in drinking water is associated with increased odds of spontaneous preterm birth. Notably, we estimated modestly increased odds associated with tap water nitrate concentrations of 5 to <10mg/L (below the federal drinking water standard of 10mg/L) relative to <5mg/L. https://doi.org/10.1289/EHP8205.
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Affiliation(s)
- Allison R. Sherris
- Emmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, California, USA
| | - Michael Baiocchi
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Scott Fendorf
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | - Stephen P. Luby
- Department of Medicine, Stanford University, Stanford, California, USA
| | - Wei Yang
- Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University, Stanford, California, USA
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Mekonnen ZK, Oehlert JW, Eskenazi B, Shaw GM, Balmes JR, Padula AM. The relationship between air pollutants and maternal socioeconomic factors on preterm birth in California urban counties. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:503-513. [PMID: 33859340 PMCID: PMC8134052 DOI: 10.1038/s41370-021-00323-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 03/19/2021] [Accepted: 03/19/2021] [Indexed: 05/27/2023]
Abstract
BACKGROUND Preterm birth is the leading cause of perinatal morbidity and mortality in the U.S. and disparities among racial and ethnic groups persist. While etiologies of preterm birth have not been fully elucidated, it is probable that environmental and social factors play a role. OBJECTIVE We hypothesized that there is an interactive association between exposure to fine particulate matter (PM2.5) or ozone (O3) and neighborhood socioeconomic factors that increase the risk of preterm birth. METHODS We conducted a retrospective study using geocoded birth certificate data between 2007 and 2011, daily ambient air quality data on PM2.5 and O3, and American Community Survey (2007-2011 5-year estimates) data to assess census tract-level socioeconomic factors in California urban counties. RESULTS Our study found a small positive association between maternal exposures to PM2.5 and O3 and preterm birth that varied by gestational exposure period. In mixed-effects models, we found an increase in the risk of preterm birth for a one-unit change in PM2.5 averaged across the entire pregnancy (AOR = 1.02, 95% CI: 1.01, 1.02) and O3 during 3-months pre-pregnancy (AOR = 1.03, 95% CI: 1.02, 1.04). Interaction between census tract-level factors and air pollutants showed an increase in the risk of preterm birth among mothers living in higher socioeconomic areas, though, a fixed cohort bias sensitivity analysis showed these associations were not significant. SIGNIFICANCE These findings substantiate previous studies that showed associations between air pollution and preterm birth, even as pollution levels have decreased. This study has important implications for policy decisions and may help inform research on potential mechanisms of preterm birth.
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Affiliation(s)
- Zesemayat K Mekonnen
- University of California Berkeley-University of California San Francisco Joint Medical Program, Berkeley, CA, USA
| | - John W Oehlert
- Department of Pediatrics, Division of Neonatology, Stanford University, Stanford, CA, USA
| | - Brenda Eskenazi
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Gary M Shaw
- Department of Pediatrics, Division of Neonatology, Stanford University, Stanford, CA, USA
| | - John R Balmes
- University of California Berkeley-University of California San Francisco Joint Medical Program, Berkeley, CA, USA
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
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Stevenson DK, Wong RJ, Aghaeepour N, Maric I, Angst MS, Contrepois K, Darmstadt GL, Druzin ML, Eisenberg ML, Gaudilliere B, Gibbs RS, Gotlib IH, Gould JB, Lee HC, Ling XB, Mayo JA, Moufarrej MN, Quaintance CC, Quake SR, Relman DA, Sirota M, Snyder MP, Sylvester KG, Hao S, Wise PH, Shaw GM, Katz M. Towards personalized medicine in maternal and child health: integrating biologic and social determinants. Pediatr Res 2021; 89:252-258. [PMID: 32454518 PMCID: PMC8061757 DOI: 10.1038/s41390-020-0981-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 05/13/2020] [Accepted: 05/14/2020] [Indexed: 12/16/2022]
Affiliation(s)
- David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ivana Maric
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Martin S Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Kevin Contrepois
- Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Gary L Darmstadt
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Maurice L Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Michael L Eisenberg
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ronald S Gibbs
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Ian H Gotlib
- Department of Psychology, Stanford University School of Humanities and Science, Stanford, CA, 94305, USA
| | - Jeffrey B Gould
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Henry C Lee
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Xuefeng B Ling
- Department of Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, CA, 94306, USA
| | - Jonathan A Mayo
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mira N Moufarrej
- Departments of Bioengineering and Applied Physics, Stanford University, and Chan Zuckerberg Biohub, Stanford, CA, 94305, USA
| | - Cecele C Quaintance
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Stephen R Quake
- Departments of Bioengineering and Applied Physics, Stanford University, and Chan Zuckerberg Biohub, Stanford, CA, 94305, USA
| | - David A Relman
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, 94306, USA
| | - Marina Sirota
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Michael P Snyder
- Stanford Center for Genomics and Personalized Medicine, Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Karl G Sylvester
- Department of Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Shiying Hao
- Clinical and Translational Research Program, Betty Irene Moore Children's Heart Center, Lucile Packard Children's Hospital, Palo Alto, CA, 94306, USA
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Paul H Wise
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Michael Katz
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Weber KA, Lyons E, Yang W, Stevenson C, Stevenson DK, Shaw GM. Residential proximity to green space and preeclampsia in California. ACTA ACUST UNITED AC 2020; 4:e120. [PMID: 33336135 PMCID: PMC7727466 DOI: 10.1097/ee9.0000000000000120] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/15/2020] [Indexed: 11/25/2022]
Abstract
Background We investigated whether residing near more green space might reduce the risk of preeclampsia. Methods Participants were women who delivered a live, singleton birth between 1998 and 2011 in eight counties of the San Joaquin Valley in California. There were 7276 cases of preeclampsia divided into mild, severe, or superimposed on preexisting hypertension. Controls were 197,345 women who did not have a hypertensive disorder and delivered between 37 and 41 weeks. Green space was estimated from satellite data using Normalized Difference Vegetation Index (NDVI), an index calculated from surface reflectance at the visible and near-infrared wavelengths. Values closer to 1 denote a higher density of green vegetation. Average NDVI was calculated within a 50 m, 100 m, and 500 m buffer around each woman's residence. Odds ratios and 95% confidence intervals were estimated comparing the lowest and highest quartiles of mean NDVI to the interquartile range comparing each preeclampsia phenotype, divided into early (20-31 weeks) and late (32-36 weeks) preterm birth, to full-term controls. Results We observed an inverse association in the 500 m buffer for women in the top quartile of NDVI and a positive association for women in the lowest quartile of NDVI for women with superimposed preeclampsia. There were no associations in the 50 and 100 m buffers. Conclusion Within a 500 m buffer, more green space was inversely associated with superimposed preeclampsia. Future work should explore the mechanism by which green space may protect against preeclampsia.
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Affiliation(s)
- Kari A Weber
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, California
| | - Evan Lyons
- Department of Earth System Science, Stanford University, Stanford, California; and
| | - Wei Yang
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, California
| | | | - David K Stevenson
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, California
| | - Gary M Shaw
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, California
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Md Meftaul I, Venkateswarlu K, Dharmarajan R, Annamalai P, Megharaj M. Pesticides in the urban environment: A potential threat that knocks at the door. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 711:134612. [PMID: 31810707 DOI: 10.1016/j.scitotenv.2019.134612] [Citation(s) in RCA: 143] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 09/17/2019] [Accepted: 09/21/2019] [Indexed: 05/26/2023]
Abstract
Pesticides play a pivotal role in controlling pests and disease infestations not only in urban agriculture but also in non-agricultural settings. Several pesticides like herbicides, insecticides, fungicides, rodenticides, etc. are applied unintentionally at higher concentrations even in small urban areas such as lawns, gardens and impermeable surfaces. Consequent to their indiscriminate use, both extensively and intensively, in the urban areas, contamination of pesticides poses a serious threat to the environment, living organisms and food safety. Although the fate and ecological effects of pesticides and their residues have been thoroughly understood in agricultural soils, information available in the literature on the impact of these contaminants in the urban environment is very limited and fragmentary. In fact, the fate and behaviour of pesticide residues in the urban environment are distinct from those in other ecosystems since the soils in urban areas greatly vary in their physico-chemical properties. Development of sustainable and eco-friendly approaches for remediation of even urban soils contaminated with pesticides is therefore greatly warranted. Thus, the present critical review is the first single source that provides updated knowledge on the sources, nature and extent of pesticide pollution in the urban environment, and the ecological and human health effects of pesticides and their residues. The potential of nano-encapsulation of pesticides for their application in urban settings has also been discussed.
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Affiliation(s)
- Islam Md Meftaul
- Global Centre for Environmental Remediation (GCER), Faculty of Science, The University of Newcastle, Callaghan, NSW 2308, Australia; Department of Agricultural Chemistry, Sher-e-Bangla Agricultural University, Dhaka 1207, Bangladesh
| | - Kadiyala Venkateswarlu
- Formerly Department of Microbiology, Sri Krishnadevaraya University, Anantapuramu 515003, India
| | - Rajarathnam Dharmarajan
- Global Centre for Environmental Remediation (GCER), Faculty of Science, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Prasath Annamalai
- Global Centre for Environmental Remediation (GCER), Faculty of Science, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Mallavarapu Megharaj
- Global Centre for Environmental Remediation (GCER), Faculty of Science, The University of Newcastle, Callaghan, NSW 2308, Australia; Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), The University of Newcastle, Callaghan, NSW 2308, Australia.
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Gaston SA, Birnbaum LS, Jackson CL. Synthetic Chemicals and Cardiometabolic Health Across the Life Course Among Vulnerable Populations: a Review of the Literature from 2018 to 2019. Curr Environ Health Rep 2020; 7:30-47. [PMID: 32037478 PMCID: PMC7187897 DOI: 10.1007/s40572-020-00265-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
PURPOSE OF REVIEW Although vulnerable populations are disproportionately exposed to synthetic chemicals with endocrine disrupting properties, few recent reviews have summarized the impact of synthetic chemicals on cardiometabolic health among these groups. RECENT FINDINGS Of 37 eligible epidemiological studies among vulnerable populations published between January 2018 and April 2019 in which over half were prospective, the most investigated populations were pregnant women and children. Racial/ethnic minorities, individuals of low socioeconomic status (SES), and those occupationally exposed were studied the least. The most studied persistent organic pollutants (POPs) were per-/poly-fluoroalkyl substances (PFAS), and the most studied non-POPs were phenols. Across chemical classes, studies found certain POPs (e.g., PFAS) and non-POPs (i.e., phenols, phthalates, and parabens) to be associated with gestational diabetes and dysregulated glucose metabolism. Results for other cardiometabolic health outcomes were inconsistent but suggested certain chemicals may negatively affect cardiometabolic health. Synthetic chemicals likely adversely affect cardiometabolic health, but current findings were inconclusive. Few recent studies focused on racial/ethnic minorities, low SES, and occupationally exposed populations. To address poor cardiometabolic health and related disparities, more studies across vulnerable populations are warranted.
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Affiliation(s)
- Symielle A Gaston
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, 111 TW Alexander Drive, MD A3-05, Research Triangle Park, NC, 27709, USA
| | - Linda S Birnbaum
- Office of the Director, National Institute of Environmental Health Sciences and the National Toxicology Program, Department of Health and Human Services, National Institutes of Health, Research Triangle Park, NC, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, 111 TW Alexander Drive, MD A3-05, Research Triangle Park, NC, 27709, USA.
- Intramural Program, National Institute on Minority Health and Health Disparities, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.
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Varshavsky J, Smith A, Wang A, Hom E, Izano M, Huang H, Padula A, Woodruff TJ. Heightened susceptibility: A review of how pregnancy and chemical exposures influence maternal health. Reprod Toxicol 2020; 92:14-56. [PMID: 31055053 PMCID: PMC6824944 DOI: 10.1016/j.reprotox.2019.04.004] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 03/12/2019] [Accepted: 04/22/2019] [Indexed: 12/19/2022]
Abstract
Pregnancy is a unique period when biological changes can increase sensitivity to chemical exposures. Pregnant women are exposed to multiple environmental chemicals via air, food, water, and consumer products, including flame retardants, plasticizers, and pesticides. Lead exposure increases risk of pregnancy-induced hypertensive disorders, although women's health risks are poorly characterized for most chemicals. Research on prenatal exposures has focused on fetal outcomes and less on maternal outcomes. We reviewed epidemiologic literature on chemical exposures during pregnancy and three maternal outcomes: preeclampsia, gestational diabetes, and breast cancer. We found that pregnancy can heighten susceptibility to environmental chemicals and women's health risks, although variations in study design and exposure assessment limited study comparability. Future research should include pregnancy as a critical period for women's health. Incorporating biomarkers of exposure and effect, deliberate timing and method of measurement, and consistent adjustment of potential confounders would strengthen research on the exposome and women's health.
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Affiliation(s)
- Julia Varshavsky
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA.
| | - Anna Smith
- University of California, Berkeley, School of Public Health, Berkeley, CA, USA
| | - Aolin Wang
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA; University of California, San Francisco, Bakar Computational Health Sciences Institute, San Francisco, CA, USA
| | - Elizabeth Hom
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Monika Izano
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Hongtai Huang
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA; University of California, San Francisco, Bakar Computational Health Sciences Institute, San Francisco, CA, USA
| | - Amy Padula
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Tracey J Woodruff
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
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12
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Choudri BS, Charabi Y. Pesticides and herbicides. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2019; 91:1342-1349. [PMID: 31523896 DOI: 10.1002/wer.1227] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 08/06/2019] [Accepted: 08/19/2019] [Indexed: 06/10/2023]
Abstract
This paper provides a review of some important scientific articles published in the year 2018 about pesticides and herbicides. The literature review presented in this paper cover pesticides and herbicides presence as well as occurrence in the environment. The review is divided into four sections. Each of these sections highlight issues related to pesticides and herbicides on toxicology, ecology, risk assessment, modeling, and treatment strategies.
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Affiliation(s)
- B S Choudri
- Center for Environmental Studies and Research, Sultan Qaboos University, Muscat, Sultanate of Oman
| | - Yassine Charabi
- Center for Environmental Studies and Research, Sultan Qaboos University, Muscat, Sultanate of Oman
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13
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Ghaemi MS, DiGiulio DB, Contrepois K, Callahan B, Ngo TTM, Lee-McMullen B, Lehallier B, Robaczewska A, Mcilwain D, Rosenberg-Hasson Y, Wong RJ, Quaintance C, Culos A, Stanley N, Tanada A, Tsai A, Gaudilliere D, Ganio E, Han X, Ando K, McNeil L, Tingle M, Wise P, Maric I, Sirota M, Wyss-Coray T, Winn VD, Druzin ML, Gibbs R, Darmstadt GL, Lewis DB, Partovi Nia V, Agard B, Tibshirani R, Nolan G, Snyder MP, Relman DA, Quake SR, Shaw GM, Stevenson DK, Angst MS, Gaudilliere B, Aghaeepour N. Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics 2019; 35:95-103. [PMID: 30561547 PMCID: PMC6298056 DOI: 10.1093/bioinformatics/bty537] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/22/2018] [Accepted: 07/02/2018] [Indexed: 12/12/2022] Open
Abstract
Motivation Multiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy. Modeling the chronology of these adaptations during full-term pregnancy provides the frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia. Results We performed a multiomics analysis of 51 samples from 17 pregnant women, delivering at term. The datasets included measurements from the immunome, transcriptome, microbiome, proteome and metabolome of samples obtained simultaneously from the same patients. Multivariate predictive modeling using the Elastic Net (EN) algorithm was used to measure the ability of each dataset to predict gestational age. Using stacked generalization, these datasets were combined into a single model. This model not only significantly increased predictive power by combining all datasets, but also revealed novel interactions between different biological modalities. Future work includes expansion of the cohort to preterm-enriched populations and in vivo analysis of immune-modulating interventions based on the mechanisms identified. Availability and implementation Datasets and scripts for reproduction of results are available through: https://nalab.stanford.edu/multiomics-pregnancy/. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Mohammad Sajjad Ghaemi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Groupe d’Études et de Recherche en Analyse des Décision (GERAD), Montréal, QC, Canada
- Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), Montréal, QC, Canada
| | - Daniel B DiGiulio
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin Callahan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Thuy T M Ngo
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute and Department of Molecular and Medical Genetics, Oregon Health Sciences University, Portland, OR, USA
| | | | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna Robaczewska
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - David Mcilwain
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Yael Rosenberg-Hasson
- Institute for Immunity, Transplantation and Infection, Human Immune Monitoring Center Stanford, CA, USA
| | - Ronald J Wong
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecele Quaintance
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony Culos
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Natalie Stanley
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Athena Tanada
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy Tsai
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Dyani Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoyuan Han
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Kazuo Ando
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Leslie McNeil
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martha Tingle
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul Wise
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Ivana Maric
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Marina Sirota
- Institute for Computational Health Sciences, University of California San Francisco, San Francisco, CA, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Virginia D Winn
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Maurice L Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald Gibbs
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary L Darmstadt
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David B Lewis
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Vahid Partovi Nia
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Groupe d’Études et de Recherche en Analyse des Décision (GERAD), Montréal, QC, Canada
| | - Bruno Agard
- Département de Mathématiques et de Génie Industriel, École Polytechnique de Montréal, QC, Canada
- Centre Interuniversitaire de Recherche sur les Réseaux d’Entreprise, la Logistique et le Transport (CIRRELT), Montréal, QC, Canada
| | - Robert Tibshirani
- Departments of Biomedical Data Sciences and Statistics, Stanford University, Stanford, CA, USA
- Department of Statistics, Stanford University School of Medicine, Stanford, CA, USA
| | - Garry Nolan
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - David A Relman
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Gary M Shaw
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - David K Stevenson
- Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Martin S Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
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Abstract
PURPOSE OF REVIEW To assess the strength of evidence for associations between environmental toxicants and hypertensive disorders of pregnancy, suggest potential biological mechanisms based on animal and in vitro studies, and highlight avenues for future research. RECENT FINDINGS Evidence is strongest for links between persistent chemicals, including lead, cadmium, organochlorine pesticides, and polycyclic biphenyls, and preeclampsia, although associations are sometimes not detectable at low-exposure levels. Results have been inconclusive for bisphenols, phthalates, and organophosphates. Biological pathways may include oxidative stress, epigenetic changes, endocrine disruption, and abnormal placental vascularization. Additional prospective epidemiologic studies beginning in the preconception period and extending postpartum are needed to assess the life course trajectory of environmental exposures and women's reproductive and cardiovascular health. Future studies should also consider interactions between chemicals and consider nonlinear associations. These results confirm recommendations by the International Federation of Gynecology and Obstetrics, the American Society for Reproductive Medicine, the American Academy of Pediatrics, and the Endocrine Society that providers counsel their pregnant patients to limit exposure to environmental toxicants.
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Ling C, Liew Z, von Ehrenstein OS, Heck JE, Park AS, Cui X, Cockburn M, Wu J, Ritz B. Prenatal Exposure to Ambient Pesticides and Preterm Birth and Term Low Birthweight in Agricultural Regions of California. TOXICS 2018; 6:E41. [PMID: 30037110 PMCID: PMC6160921 DOI: 10.3390/toxics6030041] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 07/17/2018] [Accepted: 07/19/2018] [Indexed: 12/29/2022]
Abstract
Findings from studies of prenatal exposure to pesticides and adverse birth outcomes have been equivocal so far. We examined prenatal exposure to agricultural pesticides in relation to preterm birth and term low birthweight, respectively, in children born between 1998 and 2010, randomly selected from California birth records. We estimated residential exposure to agriculturally applied pesticides within 2 km of residential addresses at birth by pregnancy trimester for 17 individual pesticides and three chemical classes (organophosphates, pyrethroids, and carbamates). Among maternal addresses located within 2 km of any agricultural pesticide application, we identified 24,693 preterm and 220,297 term births, and 4412 term low birthweight and 194,732 term normal birthweight infants. First or second trimester exposure to individual pesticides (e.g., glyphosates, paraquat, imidacloprid) or exposure to 2 or more pesticides in the three chemical classes were associated with a small increase (3⁻7%) in risk for preterm birth; associations were stronger for female offspring. We did not find associations between term low birthweight and exposure to pesticides other than myclobutanil (OR: 1.11; 95% CI: 1.04⁻1.20) and possibly the pyrethroids class. Our improved exposure assessment revealed that first and second trimester exposure to pesticides is associated with preterm delivery but is rarely linked with term low birthweight.
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Affiliation(s)
- Chenxiao Ling
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Zeyan Liew
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Ondine S von Ehrenstein
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
- Department of Community Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Julia E Heck
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Andrew S Park
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Xin Cui
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
| | - Myles Cockburn
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA.
- Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO 80045, USA.
- Colorado Comprehensive Cancer Center, University of Colorado, Aurora, CO 80045, USA.
| | - Jun Wu
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA 92697, USA.
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA 90095, USA.
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16
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Rosen EM, Muñoz MI, McElrath T, Cantonwine DE, Ferguson KK. Environmental contaminants and preeclampsia: a systematic literature review. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2018; 21:291-319. [PMID: 30582407 PMCID: PMC6374047 DOI: 10.1080/10937404.2018.1554515] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Preeclampsia is a medical condition specific to pregnancy characterized by high blood pressure and protein in the woman's urine, indicating kidney damage. It is one of the most serious reproductive conditions, posing substantial risks to the baby and potentially fatal for the mother. The causes of preeclampsia are largely unknown and environmental contaminants merit further investigation. The aim of this review was to determine the association between environmental chemical exposures and preeclampsia. PubMed was searched for articles examining a priori chemical exposures and preeclampsia through April 2018. Studies were included in our review if they included at least 10 cases, evaluated preeclampsia independent of gestational hypertension, and used either measured or modeled exposure assessments. Our review contained 28 investigations examining persistent organic pollutants (POP) (6 studies), drinking water contaminants (1 study), atmospheric pollutants (11 studies), metals and metalloids (6 studies), and other environmental contaminants (4 studies). There were an insufficient number of investigations on most chemicals to draw definitive conclusions, but strong evidence existed for an association between preeclampsia and cadmium (Cd). There is suggestive evidence for associations between nitrogen dioxide (NO2), particulate matter (PM)2.5, and traffic exposure with preeclampsia. There is evidence for an association between preeclampsia and Cd but insufficient literature to evaluate many other environmental chemicals. Additional studies using repeated measures, appropriate biological matrices, and mixtures methods are needed to expand this area of research and address the limitations of previous studies.
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Affiliation(s)
- Emma M Rosen
- a Epidemiology Branch , National Institute of Environmental Health Sciences, Research Triangle Park , NC , USA
| | - Mg Isabel Muñoz
- a Epidemiology Branch , National Institute of Environmental Health Sciences, Research Triangle Park , NC , USA
| | - Thomas McElrath
- b Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology , Brigham and Women's Hospital , Boston , MA , USA
| | - David E Cantonwine
- b Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology , Brigham and Women's Hospital , Boston , MA , USA
| | - Kelly K Ferguson
- a Epidemiology Branch , National Institute of Environmental Health Sciences, Research Triangle Park , NC , USA
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