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Kahwaji M, Duttweiler L, Thurston SW, Harrington D, Miller RK, Murphy SK, Wang C, Brunner J, Ge Y, Lin Y, Hopke PK, O’Connor TG, Zhang JJ, Rich DQ, Barrett ES. Gestational exposure to PM 2.5, NO 2, and sex steroid hormones: Identifying critical windows of exposure in the Rochester UPSIDE Cohort. Environ Epidemiol 2025; 9:e361. [PMID: 39822755 PMCID: PMC11737499 DOI: 10.1097/ee9.0000000000000361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 12/10/2024] [Indexed: 01/19/2025] Open
Abstract
Background Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes. Methods In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants. Since these visits varied by the gestational age at blood draw, values were imputed at 14, 22, and 30 weeks gestation. Daily NO2 and PM2.5 concentrations were estimated using random forest models, with daily concentrations from each 1-km2 grid containing the subject's residence. Associations between gestational week mean NO2 and PM2.5 concentrations and sex steroid concentrations were examined utilizing distributed lag nonlinear models. Results Each interquartile range (IQR = 9 ppb) increase in NO2 during weeks 0-5 was associated with higher early-pregnancy total testosterone levels (cumulative β = 0.45 ln[ng/dl]; 95% CI = 0.07, 0.83), while each IQR increase in NO2 during weeks 12-14 was associated with lower early-pregnancy total testosterone levels (cumulative β = -0.27 ln[ng/dl]; 95% CI = -0.53, -0.01). Similar NO2 increases during gestational weeks 0-14 were associated with higher late-pregnancy estradiol concentrations (cumulative β = 0.29 ln[pg/ml]; 95% CI = 0.10, 0.49), while each IQR increase in NO2 concentrations during gestational weeks 22-30 was associated with lower late-pregnancy estradiol concentrations (cumulative β = -0.18 ln[pg/ml]; 95% CI = -0.34, -0.02). No associations with PM2.5 were observed, except for an IQR increase in PM2.5 concentrations (IQR = 4 µg/m3) during gestational weeks 5-11 which was associated with lower late-pregnancy estriol levels (cumulative β = -0.16 ln[ng/ml]; 95% CI = -0.31, -0.00). Conclusions Residential NO2 exposure was associated with altered sex steroid hormone concentrations during pregnancy with some indication of potential compensatory mechanisms.
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Affiliation(s)
- Mariah Kahwaji
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York
| | - Luke Duttweiler
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York
| | - Sally W. Thurston
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York
| | - Donald Harrington
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York
| | - Richard K. Miller
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York
| | - Susan K. Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center; Nicholas School of the Environment, Duke University, Durham, NC
| | - Christina Wang
- Division of Endocrinology, Department of Medicine and Clinical and Translational Science Institute, The Lundquist Institute at Harbor-University of California, Los Angeles (UCLA) Medical Center, Torrance, California
| | - Jessica Brunner
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York
| | - Yihui Ge
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Yan Lin
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Philip K. Hopke
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York
- Institute for a Sustainable Environment, Clarkson University, Potsdam, New York
| | - Thomas G. O’Connor
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York
- Department of Psychology, University of Rochester, Rochester, New York
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, New York
- Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Junfeng J. Zhang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, North Carolina
| | - David Q. Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York
- Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Emily S. Barrett
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York
- Department of Biostatistics and Epidemiology, Rutgers University School of Public Health, Environmental and Occupational Health Sciences Institute, Piscataway, New Jersey
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Trummer O, Stern C, Reintar S, Mayer-Pickel K, Cervar-Zivkovic M, Dischinger U, Kurlbaum M, Huppertz B, Fluhr H, Obermayer-Pietsch B. Steroid Profiles and Precursor-to-Product Ratios Are Altered in Pregnant Women with Preeclampsia. Int J Mol Sci 2024; 25:12704. [PMID: 39684415 DOI: 10.3390/ijms252312704] [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: 10/30/2024] [Revised: 11/21/2024] [Accepted: 11/22/2024] [Indexed: 12/18/2024] Open
Abstract
Steroid hormone imbalance is associated with the pathogenesis of preeclampsia. However, affected enzymes of steroid metabolism and gene and protein expression in serum and placenta have not been elucidated yet. We aimed to investigate steroid hormone profiles and precursor-to-product ratios in preeclamptic women compared to women with healthy pregnancy (controls) to identify potentially affected steroid hormones and their metabolizing enzymes. Also, we aimed to investigate whether the mRNA expression of these enzymes is different between the study groups and whether levels of serum mRNA expression reflect postnatal placental protein expression. Serum levels of 14 steroid hormones were measured at eight time points throughout pregnancy in nine preeclamptic women and 36 controls. Serum mRNA expression of selected steroid-metabolizing enzymes was assessed, and their protein expression was analyzed in additional nine preeclamptic women. Mean levels of sex steroid and corticosteroid hormones were significantly altered in preeclamptic women. Precursor-to-product ratios of 5α-reductase, aromatase and 11β-hydroxysteroid dehydrogenase 1 were significantly increased, those of steroid 17α-hydroxylase, 17β-hydroxysteroid-dehydrogenase, steroid 11β-hydroxylase and 11β-hydroxysteroid dehydrogenase 2 were significantly decreased. Serum mRNA expression and placenta protein expression were comparable between the groups. Results contribute to understanding the heterogeneity of preeclampsia and can thus promote future research in personalized medicine.
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Affiliation(s)
- Olivia Trummer
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria
| | - Christina Stern
- Department of Obstetrics and Gynecology, Division of Obstetrics, Medical University of Graz, 8036 Graz, Austria
| | - Sharmaine Reintar
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria
| | - Karoline Mayer-Pickel
- Department of Obstetrics and Gynecology, Division of Obstetrics, Medical University of Graz, 8036 Graz, Austria
| | - Mila Cervar-Zivkovic
- Department of Obstetrics and Gynecology, Division of Obstetrics, Medical University of Graz, 8036 Graz, Austria
| | - Ulrich Dischinger
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, 97080 Würzburg, Germany
- Core Unit Clinical Mass Spectrometry, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Max Kurlbaum
- Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, 97080 Würzburg, Germany
- Core Unit Clinical Mass Spectrometry, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Berthold Huppertz
- Division of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, 8010 Graz, Austria
| | - Herbert Fluhr
- Department of Obstetrics and Gynecology, Division of Obstetrics, Medical University of Graz, 8036 Graz, Austria
| | - Barbara Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria
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India Aldana S, Demateis D, Valvi D, Just AC, Gutiérrez-Avila I, Estrada-Gutierrez G, Téllez Rojo MM, Wright RO, Baccarelli AA, Wu H, Keller KP, Wilson A, Colicino E. Windows of Susceptibility to Air Pollution During and Surrounding Pregnancy in Relation to Longitudinal Maternal Measures of Adiposity and Lipid Profiles. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.23.24317830. [PMID: 39649614 PMCID: PMC11623712 DOI: 10.1101/2024.11.23.24317830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2024]
Abstract
Pregnancy is a critical window for long-term metabolic programming of fetal effects stemming from airborne particulate matter ≤2.5μm (PM 2.5 ) exposure. Yet, little is known about long-term metabolic effects of PM 2.5 exposure during and surrounding pregnancy in mothers. We assessed potential critical windows of PM 2.5 exposure during and surrounding pregnancy with maternal adiposity and lipid measures later in life. We included 517 pregnant women from the PROGRESS cohort with adiposity [body mass index (BMI), waist circumference (WC), % body fat] and lipids [total cholesterol, high-density-lipoprotein (HDL), low-density-lipoprotein (LDL)] measured repeatedly at 4, 6 and 8 years post-delivery. Monthly average PM 2.5 exposure was estimated at each participant's address using a validated spatiotemporal model. We employed distributed lag interaction models (DLIMs) adjusting for socio-demographics and clinical covariates. We found that a 1 μg/m 3 increase in PM 2.5 exposure throughout mid-/late-pregnancy was associated with higher WC at 6-years post-delivery, peaking at 6 months of gestation: 0.04 cm (95%CI: 0.01, 0.06). We also identified critical windows of PM 2.5 exposure during and surrounding pregnancy associated with higher LDL and lower HDL both measured at 4 years post-delivery with peaks at pre-conception for LDL [0.17 mg/dL (95%CI: 0.00, 0.34)] and at the 11 th month after conception for HDL [-0.07 mg/dL (95%CI: -0.11, -0.02)]. Stratified analyses by fetal sex indicated stronger associations with adiposity measures in mothers carrying a male, whereas stronger associations were observed with lipids in mothers carrying a female fetus. Stratified analyses also indicated potential stronger deleterious lagged effects in women with folic acid intake lower than 600mcg/day during pregnancy.
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Zhang S, Li J, Zhang S, Dai S, Sun C, Ma H, Huang K, Chen M, Gao G, Hu C, Zhang X. The impact of prenatal exposure to fine particulate matter and its components on maternal and neonatal thyroid function and birth weight: a prospective cohort study. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:520. [PMID: 39560811 DOI: 10.1007/s10653-024-02303-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 11/07/2024] [Indexed: 11/20/2024]
Abstract
Maternal and child health has garnered considerable attention recently. The effects of prenatal exposure to PM2.5 and its components on thyroid function in both mothers and fetuses, as well as on offspring birth weight, remain unexplored. This study involved 446 mother-infant pairs from a cohort study in Ma'anshan, China, during 2021-2022. Air pollution data were obtained from the Tracking Air Pollution (TAP) project. Thyroid hormone levels (FT3, FT4, and TSH) were measured in maternal blood samples taken at various pregnancy stages and in cord blood. We employed multiple analytical methods to evaluate the effects of PM2.5 and its components on maternal thyroid function and birth weight z-score (BWz). The GLR analysis reveals that the effect of PM2.5 and its components on BWz differs according to the pregnancy stage and the specific pollutant involved. During the late pregnancy, increased exposure to PM2.5 and specific components (for instance,NO 3 _ and SO 4 2 - ) was correlated with elevated maternal FT4 levels (p < 0.05) and reduced BWz (p < 0.05). QgC results illustrated a notable negative correlation between heightened PM2.5 exposure and BWz in late pregnancy. BKMR analysis confirmed that overall exposure to PM2.5 and its components negatively impacted BWz during the third trimester. Mediation analysis showed that changes in maternal FT4 levels accounted for approximately 8.52%, 8.05%, and 8.13% of the negative effects on BWz from exposure to NH 4 + , NO 3 _ and SO 4 2 - , respectively (p < 0.05). In healthy pregnancies, exposure to PM2.5 and its components during the late pregnancy is linked to alterations in maternal thyroid hormone levels, potentially leading to reduced birth weight. Maternal FT4 levels may mediate the connection between PM2.5 components exposure and reduced the weight of offspring.
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Affiliation(s)
- Sun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Jiahui Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Siyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Siwei Dai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Chen Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Huiya Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
- Health Management and Checkup Center, the First Affiliated Hospital of Anhui Medical University, 210 Jixi Road, Hefei, 230022, Anhui, China
| | - Kai Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
- The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601, China
| | - Maolin Chen
- Department of Gynecology and Obstetrics, Ma'anshan Maternal and Child Health Hospital, 243000, Ma'anshan, China
| | - Guopeng Gao
- Department of Child Health Care, Ma'anshan Maternal and Child Health Hospital, Ma'anshan, 243000, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, 81 Meishan Road, Hefei, 230032, China.
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5
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Ji N, Eckel SP, Foley H, Yang T, Lurmann F, Grubbs BH, Habre R, Bastain TM, Farzan SF, Breton CV. Prenatal air pollution exposure is associated with inflammatory, cardiovascular, and metabolic biomarkers in mothers and newborns. ENVIRONMENTAL RESEARCH 2024; 252:118797. [PMID: 38555084 PMCID: PMC11156540 DOI: 10.1016/j.envres.2024.118797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/20/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Prenatal air pollution exposure has been associated with individual inflammatory, cardiovascular, and metabolic biomarkers in mothers and neonates. However, studies of air pollution and a comprehensive panel of biomarkers across maternal and cord blood samples remain limited. Few studies used data-driven methods to identify biomarker groupings that converge biomarkers from multiple biological pathways. This study aims to investigate the impacts of prenatal air pollution on groups of biomarkers in maternal and cord blood samples. METHODS In the Maternal And Developmental Risks from Environmental and Social Stressors (MADRES) cohort, 87 biomarkers were quantified from 45 trimester 1 maternal blood and 55 cord blood samples. Pregnancy and trimester 1-averaged concentrations of particulate matter ≤2.5 μm and ≤10 μm in diameter (PM2.5 and PM10), nitrogen dioxide (NO2), and ozone (O3) were estimated, using inverse distance squared weighted spatial interpolation from regulatory air monitoring stations. Traffic-related NOx was assessed using California Line Source Dispersion Model: freeway/highway roads, non-freeway major roads, non-freeway minor roads, and their sum as total NOx. Elastic Net (EN) regression within the rexposome R package was used to group biomarkers and assess their associations with air pollution. RESULTS In maternal samples, trimester 1-averaged PM10 was associated with elevated inflammation biomarkers and lowered cardiovascular biomarkers. NO2 exhibited positive associations with cardiovascular and inflammation markers. O3 was inversely associated with inflammation, metabolic, and cardiovascular biomarkers. In cord blood, pregnancy-averaged PM2.5 was associated with higher cardiovascular biomarkers and lower metabolic biomarkers. PM10 was associated with lower inflammation and higher cardiovascular biomarkers. Total and major road NOx was associated with lower cardiovascular biomarkers. CONCLUSION Prenatal air pollution exposure was associated with changes in biomarkers related to inflammation, cardiovascular, metabolic, cancer, and neurological function in both mothers and neonates. This study shed light on mechanisms by which air pollution can influence biological function during pregnancy.
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Affiliation(s)
- Nan Ji
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Helen Foley
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Tingyu Yang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, 94954, United States
| | - Brendan H Grubbs
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, United States.
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Saleem A, Awan T, Akhtar MF. A comprehensive review on endocrine toxicity of gaseous components and particulate matter in smog. Front Endocrinol (Lausanne) 2024; 15:1294205. [PMID: 38352708 PMCID: PMC10863453 DOI: 10.3389/fendo.2024.1294205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024] Open
Abstract
Smog is a form of extreme air pollution which comprises of gases such as ozone, sulfur dioxide, nitrogen and carbon oxides, and solid particles including particulate matter (PM2.5 and PM10). Different types of smog include acidic, photochemical, and Polish. Smog and its constituents are hazardaous to human, animals, and plants. Smog leads to plethora of morbidities such as cancer, endocrine disruption, and respiratory and cardiovascular disorders. Smog components alter the activity of various hormones including thyroid, pituitary, gonads and adrenal hormones by altering regulatory genes, oxidation status and the hypothalamus-pituitary axis. Furthermore, these toxicants are responsible for the development of metabolic disorders, teratogenicity, insulin resistance, infertility, and carcinogenicity of endocrine glands. Avoiding fossil fuel, using renewable sources of energy, and limiting gaseous discharge from industries can be helpful to avoid endocrine disruption and other toxicities of smog. This review focuses on the toxic implications of smog and its constituents on endocrine system, their toxicodynamics and preventive measures to avoid hazardous health effects.
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Affiliation(s)
- Ammara Saleem
- Department of Pharmacology, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
| | - Tanzeela Awan
- Department of Pharmacy, The Women University Multan, Multan, Pakistan
| | - Muhammad Furqan Akhtar
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Pakistan
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7
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Colicino E, Cowell W, Pedretti NF, Joshi A, Petrick L, Niedzwiecki M, Wright RO, Wright RJ. Maternal steroids during pregnancy and their associations with exposure to lifetime stressful life events, prenatal stress appraisal and psychological functioning. Psychoneuroendocrinology 2023; 158:106395. [PMID: 37776732 PMCID: PMC10841416 DOI: 10.1016/j.psyneuen.2023.106395] [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: 02/01/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND During pregnancy, steroids enable physiological adaptations in response to many factors, including maternal stress or psychological functioning. While stress and psychological dysfunction can have endocrine-disrupting effects beyond cortisol disruption, associations between prenatal maternal stress or related psychological dysfunction and the broader steroid milieu remain understudied. AIM To assess associations between independent and joint maternal stress and psychological functioning measures and steroid profiles in pregnancy (22-40 gestational weeks) in the Programming of Intergenerational Stress Mechanisms (PRISM) birth cohort (n = 334). METHODS Serum metabolomics detected 42 steroids and their metabolites, which were grouped into five classes (pregnenolone, androgens, estrogens, progestin, and corticosteroids). The Perceived Stress Scale, Life Stressor Checklist-Revised, and Edinburgh Postnatal Depression Scale indexed lifetime traumatic/non-traumatic stressors, global prenatal stress appraisal, and depressive symptoms during pregnancy, respectively. Exposures were categorized as high-low using the corresponding 3rd quartiles. We assessed associations between both individual and joint stress exposures with steroid classes using linear mixed effect models and with individual steroids using linear regressions. We also examined fetal sex-specific effects. RESULTS High prenatal perceived stress was independently associated with lower levels of androgens and estrogens in the overall sample [β (95%CI): androgens: -0.13 (-0.25;-0.01); estrogens: -0.16 (-0.31;-0.01)], particularly among women carrying males [androgens: -0.22 (-0.39;-0.05); estrogens: -0.28 (-0.50;-0.07)]. Results on estrogens were consistent when considering joint exposure to both greater lifetime stressors and higher prenatal perceived stress. We also found a single testosterone metabolite-5alpha-androstan-3alpha,17alpha-diol disulfate-negatively associated with both individual high perceived stress and joint exposure to high lifetime stressors and high perceived stress among women carrying males. CONCLUSIONS Increased maternal perceived stress experienced in pregnancy was independently associated with lower maternal androgen and estrogen levels during pregnancy in the overall sample, particularly among women carrying males. Results on estrogens were consistent when we considered the joint exposure of increased lifetime stressors and higher prenatal perceived stress.
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Affiliation(s)
- Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Whitney Cowell
- Departments of Pediatrics and Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Nicolo Foppa Pedretti
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anu Joshi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lauren Petrick
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Megan Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for 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, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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8
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Li J, Yang B, Liu L, Gu J, Cao M, Wu L, He J. Relationship between air pollutants and spontaneous abortion in a coal resource valley city: a retrospective cohort study. J Matern Fetal Neonatal Med 2023; 36:2281876. [PMID: 37968927 DOI: 10.1080/14767058.2023.2281876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023]
Abstract
OBJECTIVE Pollutants in the atmosphere have been linked to poor pregnancy outcomes in women. However, such investigations are scarce in metropolitan northern China. The major exposure window of air pollution affecting pregnant women is also unknown. METHODS For the analysis, this retrospective cohort study enrolled 6960 pregnant women recorded at Tongchuan People's Hospital from January 2018 to December 2019. Pollutant concentration values from the nearest monitoring station to the pregnant women were used to estimate exposure doses for each exposure window. Logistic regression models were created to investigate the connection between pollutants and spontaneous abortion while controlling for confounding factors. RESULTS PM2.5 was a risk factor for spontaneous abortion in T3 (30-60 days before the first day of the last menstrual period [LMP]), (OR: 1.305, 95% CI: 1.143-1.490) and T4 (60-90 days before the first day of the LMP),(OR: 1.450, 95% CI: 1.239-1.696) after controlling for covariates. In the same window, PM10 was a risk factor (OR: 1.308, 95% CI: 1.140-1.500), (OR: 1.386, 95% CI: 1.184-1.621). In T2 (30 days before the first day of the LMP), T3, and T4, SO2 was a risk factor for spontaneous abortion (OR: 1.185, 95% CI: 1.025-1.371), (OR: 1.219, 95% CI: 1.071-1.396), (OR: 1.202, 95% CI: 1.040-1.389). In T3 and T4, NO2 was a risk factor (OR: 1.171, 95% CI: 1.019- 1.346), (OR: 1.443, 95% CI: 1.259-1.655). In T1 (from the first day of the LMP to the date of abortion), O3 was found to be a risk factor (OR: 1.366, 95% CI: 1.226-1.521). CONCLUSION Exposure to high levels of air pollutants before and during pregnancy may be a risk factor for spontaneous abortion in pregnant women. This study further illustrates the importance of reducing air pollution emissions.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Boya Yang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lili Wu
- Medical Records Room of Tongchuan People's Hospital, Tongchuan, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China
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Barrett ES, Sharghi S, Thurston SW, Sobolewski Terry M, Loftus CT, Karr CJ, Nguyen RH, Swan SH, Sathyanarayana S. Associations of Exposure to Air Pollution during the Male Programming Window and Mini-Puberty with Anogenital Distance and Penile Width at Birth and at 1 Year of Age in the Multicenter U.S. TIDES Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:117001. [PMID: 37966231 PMCID: PMC10648757 DOI: 10.1289/ehp12627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 09/18/2023] [Accepted: 10/02/2023] [Indexed: 11/16/2023]
Abstract
BACKGROUND Ambient air pollution may be a developmental endocrine disruptor. In animal models, gestational and perinatal exposure to diesel exhaust and concentrated particulate matter alters anogenital distance (AGD), a marker of prenatal androgen activity, in both sexes. Little is known in humans. OBJECTIVES We examined exposure to fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) in relation to human AGD at birth and at 1 year of age, focusing on exposures during critical windows of reproductive development: the male programming window (MPW; gestational weeks 8-14) and mini-puberty (postnatal months 1-3). METHODS The Infant Development and Environment Study (TIDES) recruited first trimester pregnant women (n = 687 ) at four U.S. sites (Minneapolis, Minnesota; Rochester, New York; San Francisco, California; and Seattle, Washington) from 2010 to 2012. We measured anus to clitoris (AGD-AC) and anus to fourchette (AGD-AF) in female infants at birth; in males, we measured anus to penis (AGD-AP), anus to scrotum (AGD-AS), and penile width at birth and at 1 year of age. Using advanced spatiotemporal models, we estimated maternal exposure to PM 2.5 and NO 2 in the MPW and mini-puberty. Covariate-adjusted, sex-stratified linear regression models examined associations between PM 2.5 and NO 2 and AGD. RESULTS In males, a 1 - μ g / m 3 increase in PM 2.5 exposure during the MPW was associated with shorter AGD at birth, but a longer AGD at 1 year of age (e.g., birth AGD-AP: β = - 0.35 mm ; 95% CI: - 0.62 , - 0.07 ; AGD-AS: β = 0.37 mm ; 95% CI: 0.02, 0.73). Mini-pubertal PM 2.5 exposure was also associated with shorter male AGD-AP (β = - 0.50 mm ; 95% CI: - 0.89 , - 0.11 ) at 1 year of age. Although not associated with male AGD measures, 1 -ppb increases in NO 2 exposure during the MPW (β = - 0.07 mm ; 95% CI: - 0.02 , - 0.12 ) and mini-puberty (β = - 0.04 mm ; 95% CI: - 0.08 , 0.01) were both associated with smaller penile width at 1 year of age. Results were similar in multipollutant models, where we also observed that in females AGD-AC was inversely associated with PM 2.5 exposure, but positively associated with NO 2 exposure. DISCUSSION PM 2.5 and NO 2 exposures during critical pre- and postnatal windows may disrupt reproductive development. More work is needed to confirm these novel results and clarify mechanisms. https://doi.org/10.1289/EHP12627.
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Affiliation(s)
- Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
- Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey, USA
| | - Sima Sharghi
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Sally W. Thurston
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Marissa Sobolewski Terry
- Department of Environmental Medicine, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Christine T. Loftus
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Catherine J. Karr
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Ruby H.N. Nguyen
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Shanna H. Swan
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sheela Sathyanarayana
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Pediatrics, University of Washington, Seattle, Washington, USA
- Seattle Children’s Research Institute, University of Washington, Seattle, Washington, USA
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Plusquin M, Wang C, Cosemans C, Roels HA, Vangeneugden M, Lapauw B, Fiers T, T'Sjoen G, Nawrot TS. The association between newborn cord blood steroids and ambient prenatal exposure to air pollution: findings from the ENVIRONAGE birth cohort. Environ Health 2023; 22:63. [PMID: 37674219 PMCID: PMC10483875 DOI: 10.1186/s12940-023-01010-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/16/2023] [Indexed: 09/08/2023]
Abstract
Knowledge of whether prenatal exposure to ambient air pollution disrupts steroidogenesis is currently lacking. We investigated the association between prenatal ambient air pollution and highly accurate measurements of cord blood steroid hormones from the androgenic pathway.This study included 397 newborns born between the years 2010 and 2015 from the ENVIRONAGE cohort in Belgium of whom six cord blood steroid levels were measured: 17α-hydroxypregnenolone, 17α-hydroxyprogesterone, dehydroepiandrosterone, pregnenolone, androstenedione, and testosterone. Maternal ambient exposure to PM2.5 (particles with aerodynamic diameter ≤ 2.5 μm), NO2, and black carbon (BC) were estimated daily during the entire pregnancy using a high-resolution spatiotemporal model. The associations between the cord blood steroids and the air pollutants were tested and estimated by first fitting linear regression models and followed by fitting weekly prenatal exposures to distributed lag models (DLM). These analyses accounted for possible confounders, coexposures, and an interaction effect between sex and the exposure. We examined mixture effects and critical exposure windows of PM2.5, NO2 and BC on cord blood steroids via the Bayesian kernel machine regression distributed lag model (BKMR-DLM).An interquartile range (IQR) increment of 7.96 µg/m3 in PM2.5 exposure during pregnancy trimester 3 was associated with an increase of 23.01% (99% confidence interval: 3.26-46.54%) in cord blood levels of 17α-hydroxypregnenolone, and an IQR increment of 0.58 µg/m³ in BC exposure during trimester 1 was associated with a decrease of 11.00% (99% CI: -19.86 to -0.012%) in cord blood levels of androstenedione. For these two models, the DLM statistics identified sensitive gestational time windows for cord blood steroids and ambient air pollution exposures, in particular for 17α-hydroxypregnenolone and PM2.5 exposure during trimester 3 (weeks 28-36) and for androsterone and BC exposure during early pregnancy (weeks 2-13) as well as during mid-pregnancy (weeks 18-26). We identified interaction effects between pollutants, which has been suggested especially for NO2.Our results suggest that prenatal exposure to ambient air pollutants during pregnancy interferes with steroid levels in cord blood. Further studies should investigate potential early-life action mechanisms and possible later-in-life adverse effects of hormonal disturbances due to air pollution exposure.
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Affiliation(s)
| | - Congrong Wang
- Centre for Environmental Sciences, UHasselt, Diepenbeek, Belgium
| | | | - Harry A Roels
- Centre for Environmental Sciences, UHasselt, Diepenbeek, Belgium
| | | | - Bruno Lapauw
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Tom Fiers
- Department of Clinical Pathology, Ghent University Hospital, Ghent, Belgium
| | - Guy T'Sjoen
- Department of Endocrinology, Ghent University Hospital, Ghent, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, UHasselt, Diepenbeek, Belgium
- Department of Public Health & Primary Care, Leuven University, Leuven, Belgium
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Li C, Ni S, Sun H, Zhu S, Feng Y, Yang X, Huang Q, Jiang S, Tang N. Effects of PM 2.5 and high-fat diet interaction on blood glucose metabolism in adolescent male Wistar rats: A serum metabolomics analysis based on ultra-high performance liquid chromatography/mass spectrometry. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115200. [PMID: 37392662 DOI: 10.1016/j.ecoenv.2023.115200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/06/2023] [Accepted: 06/26/2023] [Indexed: 07/03/2023]
Abstract
Fine particulate matter (PM2.5) and high-fat diet (HFD) are known to contribute to blood glucose metabolic disorders. However, limited research has investigated the combined impact of PM2.5 and HFD on blood glucose metabolism. This study aimed to explore the joint effects of PM2.5 and HFD on blood glucose metabolism in rats using serum metabolomics and to identify involved metabolites and metabolic pathways. The 32 male Wistar rats were exposed to filtered air (FA) or PM2.5 (real-world inhaled, concentrated PM2.5, 8 times the ambient level, ranging from 131.42 to 773.44 μg/m3) and fed normal diet (ND) or HFD for 8 weeks. The rats were divided into four groups (n = 8/group): ND-FA, ND-PM2.5, HFD-FA and HFD-PM2.5 groups. Blood samples were collected to determine fasting glucose (FBG), plasma insulin and glucose tolerance test and HOMA Insulin Resistance (HOMA-IR) index was calculated. Finally, the serum metabolism of rats was analyzed by ultra-high performance liquid chromatography/mass spectrometry (UHPLC-MS). Then we constructed the partial least squares discriminant analysis (PLS-DA) model to screen the differential metabolites, and performed pathway analysis to screen the main metabolic pathways. Results showed that combined effect of PM2.5 and HFD caused changes in glucose tolerance, increased FBG levels and HOMA-IR in rats and there were interactions between PM2.5 and HFD in FBG and insulin. By metabonomic analysis, the serum differential metabolites pregnenolone and progesterone, which involved in steroid hormone biosynthesis, were two different metabolites in the ND groups. In the HFD groups, the serum differential metabolites were L-tyrosine and phosphorylcholine, which involved in glycerophospholipid metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis. When PM2.5 and HFD coexist, they may lead to more severe and complex effects on glucose metabolism by affecting lipid metabolism and amino acid metabolism. Therefore, reducing PM2.5 exposure and controlling dietary structure are important measures for preventing and reducing glucose metabolism disorders.
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Affiliation(s)
- Chen Li
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Shu Ni
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Hongyue Sun
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Shanhui Zhu
- Department of Occupational and Environmental Health, Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Yanan Feng
- Department of Occupational and Environmental Health, Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Qingyu Huang
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Shoufang Jiang
- Department of Occupational and Environmental Health, Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063210, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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