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Grineski SE, Renteria RA, Collins TW, Bakian AV, Bilder D, VanDerslice JA, Fraser A, Gomez J, Ramos KD. PM 2.5 threshold exceedances during the prenatal period and risk of intellectual disability. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:861-867. [PMID: 38388655 DOI: 10.1038/s41370-024-00647-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Research demonstrates that chronic exposure to fine particulates (PM2.5) increases risks of neurodevelopmental conditions, such as intellectual disability (ID). Few studies have examined neurodevelopmental health impacts of pollution spikes exceeding 24-h (24-h) PM2.5 guidelines, despite relevance to the regulatory landscape. The current potential for regulatory changes to 24-h PM2.5 standards in the United States makes research on exceedances relevant. OBJECTIVE To examine associations between 24-h PM2.5 exceedances and the risk of ID. METHODS We conducted a retrospective case-control study of a sample of children in Utah, USA. We used generalized estimating equations to predict odds of ID based on the number of 24-h PM2.5 exceedance days during the preconception period and three trimesters of pregnancy. Exceedance days are defined as per current World Health Organization (WHO) [≥15 μg/m3] and current US Environmental Protection Agency (EPA) [≥35 μg/m3] 24-h guidelines. RESULTS PM2.5 exceedances are associated with ID risk during the preconception and first trimester periods and not the second and third trimesters. During the preconception period, each day exceeding 15 μg/m3 or 35 μg/m3 was associated with a 1.023 (CI: 1.011-1.040) or 1.042 (CI: 1.026-1.059, p < 0.001) increase in odds of ID, respectively. During the first trimester, each day exceeding 15 μg/m3 or 35 μg/m3 was associated with a 1.032 (CI: 1.017-1.047) or 1.059 (CI: 1.030-1.088) increase in odds of ID, respectively. IMPACT STATEMENT Potential regulatory movement on the US 24-h PM2.5 standard makes research that explicitly studies exceedances highly relevant. Yet few studies examine health effects of exceeding 24-h guidelines for any air pollutants. This study fills important gaps in the literature by examining associations between odds of intellectual disability and the count of days exceeding current 24-h PM2.5 guidelines, as established by the World Health Organization and US Environmental Protection Agency, during the prenatal period. We find that exceedances of both sets of guidelines, during the preconception and first trimester periods, are associated with ID risk.
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Affiliation(s)
- Sara E Grineski
- Department of Sociology, University of Utah, 380 S. 1530 E., Rm. 301, Salt Lake City, UT, 84112, USA.
| | - Roger A Renteria
- Department of Sociology, University of Utah, 380 S. 1530 E., Rm. 301, Salt Lake City, UT, 84112, USA
| | - Timothy W Collins
- Department of Geography, University of Utah, 260 Central Campus Dr., Rm. 4728, Salt Lake City, UT, 84112, USA
| | - Amanda V Bakian
- Department of Psychiatry, University of Utah School of Medicine, 30 N. 1900 E., Salt Lake City, UT, 84132, USA
| | - Deborah Bilder
- Department of Psychiatry, University of Utah School of Medicine, 30 N. 1900 E., Salt Lake City, UT, 84132, USA
| | - James A VanDerslice
- Department of Family and Preventative Medicine, University of Utah School of Medicine, 375 Chipeta Way Ste. A, Salt Lake City, UT, 84108, USA
| | - Alison Fraser
- Huntsman Cancer Institute, University of Utah, 2000 Cir of Hope Dr Ste 1950, Salt Lake City, UT, 84112, USA
| | - Jaqueline Gomez
- Environmental and Sustainability Studies Program, University of Utah, 260 S Central Campus Drive, Room 4540, Salt Lake City, UT, 84112, USA
| | - Kevin D Ramos
- Department of Geography, University of Utah, 260 Central Campus Dr., Rm. 4728, Salt Lake City, UT, 84112, USA
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Chen Y, Kuang T, Zhang T, Cai S, Colombo J, Harper A, Han TL, Xia Y, Gulliver J, Hansell A, Zhang H, Baker P. Associations of air pollution exposures in preconception and pregnancy with birth outcomes and infant neurocognitive development: analysis of the Complex Lipids in Mothers and Babies (CLIMB) prospective cohort in Chongqing, China. BMJ Open 2024; 14:e082475. [PMID: 38960456 PMCID: PMC11227797 DOI: 10.1136/bmjopen-2023-082475] [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: 11/28/2023] [Accepted: 06/06/2024] [Indexed: 07/05/2024] Open
Abstract
OBJECTIVES To investigate the associations of traffic-related air pollution exposures in early pregnancy with birth outcomes and infant neurocognitive development. DESIGN Cohort study. SETTING Eligible women attended six visits in the maternity clinics of two centres, the First Affiliated Hospital of Chongqing Medical University and Chongqing Health Centre for Women and Children. PARTICIPANTS Women who were between 20 and 40 years of age and were at 11-14 weeks gestation with a singleton pregnancy were eligible for participation. Women were excluded if they had a history of premature delivery before 32 weeks of gestation, maternal milk allergy or aversion or severe lactose intolerance. 1273 pregnant women enrolled in 2015-2016 and 1174 live births were included in this analysis. EXPOSURES Air pollution concentrations at their home addresses, including particulate matter with diameter ≤2.5 µm (PM2.5) and nitrogen dioxide (NO2), during pre-conception and each trimester period were estimated using land-use regression models. OUTCOME MEASURES Birth outcomes (ie, birth weight, birth length, preterm birth, low birth weight, large for gestational age and small for gestational age (SGA) status) and neurodevelopment outcomes measured by the Chinese version of Bayley Scales of Infant Development. RESULTS An association between SGA and per-IQR increases in NO2 was found in the first trimester (OR: 1.57, 95% CI: 1.06 to 2.32) and during the whole pregnancy (OR: 1.33, 99% CI: 1.01 to 1.75). Both PM2.5 and NO2 exposure in the 90 days prior to conception were associated with lower Psychomotor Development Index scores (β: -6.15, 95% CI: -8.84 to -3.46; β: -2.83, 95% CI: -4.27 to -1.39, respectively). Increased NO2 exposure was associated with an increased risk of psychomotor development delay during different trimesters of pregnancy. CONCLUSIONS Increased exposures to NO2 during pregnancy were associated with increased risks of SGA and psychomotor development delay, while increased exposures to both PM2.5 and NO2 pre-conception were associated with adverse psychomotor development outcomes at 12 months of age. TRIAL REGISTRATION NUMBER ChiCTR-IOR-16007700.
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Affiliation(s)
- Yingxin Chen
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Tao Kuang
- Department of Public Health and Management, Zunyi Medical and Pharmaceutical College, Zunyi, China
| | - Ting Zhang
- Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Samuel Cai
- Department of Health Sciences, University of Leicester, Leicester, Leicestershire, UK
| | | | | | - Ting-Li Han
- University of Auckland Liggins Institute, Auckland, New Zealand
- Canada - China -New Zealand Joint Laboratory of Maternal and Fetal Medicine, Chongqing, China
| | - Yinyin Xia
- School of Public Health, Chongqing Medical University, Chongqing, China
| | | | - Anna Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Philip Baker
- College of Medicine, University of Leicester, Leicester, UK
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Cosemans C, Madhloum N, Sleurs H, Alfano R, Verheyen L, Wang C, Vanbrabant K, Vanpoucke C, Lefebvre W, Nawrot TS, Plusquin M. Prenatal particulate matter exposure is linked with neurobehavioural development in early life. ENVIRONMENTAL RESEARCH 2024; 252:118879. [PMID: 38579996 DOI: 10.1016/j.envres.2024.118879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/22/2024] [Accepted: 04/03/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Early life exposure to ambient particulate matter (PM) may negatively affect neurobehavioral development in children, influencing their cognitive, emotional, and social functioning. Here, we report a study on prenatal PM2.5 exposure and neurobehavioral development focusing on different time points in the first years of life. METHODS This study was part of the ENVIRONAGE birth cohort that follows mother-child pairs longitudinally. First, the Neonatal Behavioral Assessment Scale (NBAS) was employed on 88 newborns aged one to two months to assess their autonomic/physiological regulation, motor organisation, state organisation/regulation, and attention/social interaction. Second, our study included 393 children between the ages of four and six years, for which the Strengths and Difficulties Questionnaire (SDQ) was used to assess the children's emotional problems, hyperactivity, conduct problems, peer relationship, and prosocial behaviour. Prenatal PM2.5 exposure was determined using a high-resolution spatial-temporal method based on the maternal address. Multiple linear and multinomial logistic regression models were used to analyse the relationship between prenatal PM2.5 exposure and neurobehavioral development in newborns and children, respectively. RESULTS A 5 μg/m³ increase in first-trimester PM2.5 concentration was associated with lower NBAS range of state cluster scores (-6.11%; 95%CI: -12.00 to -0.23%; p = 0.04) in one-to-two-month-old newborns. No other behavioural clusters nor the reflexes cluster were found to be associated with prenatal PM2.5 exposure. Furthermore, a 5 μg/m³ increment in first-trimester PM2.5 levels was linked with higher odds of a child experiencing peer problems (Odds Ratio (OR) = 3.89; 95%CI: 1.39 to 10.87; p = 0.01) at ages four to six. Additionally, a 5 μg/m³ increase in second-trimester PM2.5 concentration was linked to abnormal prosocial behaviour (OR = 0.49; 95%CI: 0.25 to 0.98; p = 0.04) at four to six years old. No associations were found between in utero PM2.5 exposure and hyperactivity or conduct problems. CONCLUSIONS Our findings suggest that prenatal exposure to PM may impact neurobehavioural development in newborns and preschool children. We identified sensitive time windows during early-to-mid pregnancy, possibly impacting stage changes in newborns and peer problems and prosocial behaviour in children.
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Affiliation(s)
- Charlotte Cosemans
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Narjes Madhloum
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium; Faculty of Medicine and Life Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Hanne Sleurs
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Lore Verheyen
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Kenneth Vanbrabant
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium
| | - Charlotte Vanpoucke
- Belgian Interregional Environment Agency, IRCEL-CELINE, Gaucheretstraat 92-94, 1030, Brussels, Belgium
| | - Wouter Lefebvre
- Flemish Institute for Technological Research, VITO, Boeretang 200, 2400, Mol, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium; School of Public Health, Occupational & Environmental Medicine, Leuven University, Oude Markt 13, 3000, Leuven, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Agoralaan Building D, 3590, Diepenbeek, Belgium.
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Yan R, Ma D, Liu Y, Wang R, Fan L, Yan Q, Chen C, Wang W, Ren Z, Ku T, Ning X, Sang N. Developmental Toxicity of Fine Particulate Matter: Multifaceted Exploration from Epidemiological and Laboratory Perspectives. TOXICS 2024; 12:274. [PMID: 38668497 PMCID: PMC11054511 DOI: 10.3390/toxics12040274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/29/2024]
Abstract
Particulate matter of size ≤ 2.5 μm (PM2.5) is a critical environmental threat that considerably contributes to the global disease burden. However, accompanied by the rapid research progress in this field, the existing research on developmental toxicity is still constrained by limited data sources, varying quality, and insufficient in-depth mechanistic analysis. This review includes the currently available epidemiological and laboratory evidence and comprehensively characterizes the adverse effects of PM2.5 on developing individuals in different regions and various pollution sources. In addition, this review explores the effect of PM2.5 exposure to individuals of different ethnicities, genders, and socioeconomic levels on adverse birth outcomes and cardiopulmonary and neurological development. Furthermore, the molecular mechanisms involved in the adverse health effects of PM2.5 primarily encompass transcriptional and translational regulation, oxidative stress, inflammatory response, and epigenetic modulation. The primary findings and novel perspectives regarding the association between public health and PM2.5 were examined, highlighting the need for future studies to explore its sources, composition, and sex-specific effects. Additionally, further research is required to delve deeper into the more intricate underlying mechanisms to effectively prevent or mitigate the harmful effects of air pollution on human health.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Tingting Ku
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China; (R.Y.); (D.M.); (Y.L.); (R.W.); (L.F.); (Q.Y.); (C.C.); (W.W.); (Z.R.); (X.N.); (N.S.)
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Zhu Y, Li X, Chen J, Gong W. Perinatal depression trajectories and child development at one year: a study in China. BMC Pregnancy Childbirth 2024; 24:176. [PMID: 38448846 PMCID: PMC10918895 DOI: 10.1186/s12884-024-06330-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 02/07/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND The objective of the current study was to investigate the correlation between trajectories of maternal perinatal depression (PND) spanning from early pregnancy to one year postpartum and developmental delays observed in one-year-old children. METHODS The dataset under examination encompassed 880 women who took part in a mother-child birth study conducted in China. Latent class growth analysis (LCGA) was employed to identify patterns in Edinburgh Postnatal Depression Scale (EPDS) scores of women, spanning from early pregnancy to one year postpartum. To assess the neurodevelopment of one-year-old children, a Chinese version of the Bayley Scale of Infant Development (BSID-CR) was employed. Logistic regression was employed to explore the association between PND trajectories and developmental delays in children, with appropriate covariate adjustments. RESULTS The trajectories of maternal PND identified in this study included a minimal-stable symptom group (n = 155), low-stable symptom group (n = 411), mild-stable symptom group (n = 251), and moderate-stable symptom group (n = 63). Logistic regression analysis revealed that mothers falling into the moderate-stable symptom group exhibited a notably heightened risk of having a child with psychomotor developmental delays at the age of one year. CONCLUSIONS The findings drawn from a representative sample in China provide compelling empirical evidence that bolsters the association between maternal PND and the probability of psychomotor developmental delays in children. It is imperative to develop tailored intervention strategies and meticulously design mother-infant interactive intervention programs for women with PND.
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Affiliation(s)
- Yuan Zhu
- School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiaoyu Li
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Hunan, China
| | - Junyu Chen
- School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Wenjie Gong
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Hunan, China.
- Department of Psychiatry, University of Rochester, Rochester, New York, USA.
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
- Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410006, Hunan, China.
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Fu J, Lin Q, Ai B, Li M, Luo W, Huang S, Yu H, Yang Y, Lin H, Wei J, Su X, Zhang Z. Associations between maternal exposure to air pollution during pregnancy and trajectories of infant growth: A birth cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115792. [PMID: 38064789 DOI: 10.1016/j.ecoenv.2023.115792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE We examined the relationships between infants' growth trajectories and prenatal exposure to air pollution, which is still under-investigated. METHODS A birth cohort study was constructed using medical records of pregnant women and infants born between 2015 and 2019 in Foshan, China. Using satellite-based spatial-temporal models, prenatal exposure to air pollutants including particulate matter with an aerodynamic dimension of < 2.5 µm (PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) was assessed at each woman's residence. Latent class growth modeling was used to identify trajectories of physical (body length and weight) growth and neurodevelopment, which were repeatedly measured within 1 year after birth. Logistic regression models were used to investigate the associations between prenatal exposure to air pollution and the risks of growth disorders, adjusting for an array of potential confounders. RESULTS We identified two growth trajectories for body length [normal: 3829 (93%); retardation: 288 (7%)], three for weight [normal: 2475 (59.6%); retardation: 390 (9.4%); overgrowth: 1287 (31%)], and two for neurodevelopment [normal: 956 (66.1%); retardation: 491 (33.9%)]. For exposure over whole pregnancy, SO2 was associated with an increased risk of body length retardation (OR for per 1 µg/m3 increment: 1.09, 95%CI: 1.01-1.17); PM2.5 (OR: 1.05, 95%CI: 1.03-1.07), SO2 (OR: 1.15, 95%CI: 1.08-1.22), and NO2 (OR: 1.05, 95%CI: 1.03-1.07) were positively associated with neurodevelopmental retardation. Such associations appeared stronger for exposures over the first and second trimesters. No significant associations were detected for weight growth. CONCLUSIONS Maternal exposure to air pollution during pregnancy was associated with higher risks of impairments in both physical growth, particularly body length, and neurodevelopment.
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Affiliation(s)
- Jiaying Fu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qingmei Lin
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meijun Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weidong Luo
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Saijun Huang
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Hong Yu
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Xi Su
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, China.
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Christensen GM, Marcus M, Vanker A, Eick SM, Malcolm-Smith S, Smith ADAC, Dunn EC, Suglia SF, Chang HH, Zar HJ, Stein DJ, Hüls A. Sensitive periods for exposure to indoor air pollutants and psychosocial factors in association with symptoms of psychopathology at school-age in a South African birth cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.08.23293825. [PMID: 37609236 PMCID: PMC10441486 DOI: 10.1101/2023.08.08.23293825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Background Gestation and the first few months of life are important periods for brain development. During these periods, exposure to environmental toxicants and psychosocial stressors are particularly harmful and may impact brain development. Specifically, exposure to indoor air pollutants (IAP) and psychosocial factors (PF) during these sensitive periods has been shown to predict childhood psychopathology. Objectives This study aims to investigate sensitive periods for the individual and joint effects of IAP and PF on childhood psychopathology at 6.5 years. Methods We analyzed data from the Drakenstein Child Health Study (N=599), a South African birth cohort. Exposure to IAP and PF was measured during the second trimester of pregnancy and 4 months postpartum. The outcome of childhood psychopathology was assessed at 6.5 years old using the Childhood Behavior Checklist (CBCL). We investigated individual effects of either pre-or postnatal exposure to IAP and PF on CBCL scores using adjusted linear regression models, and joint effects of these exposures using quantile g-computation and self-organizing maps (SOM). To identify possible sensitive periods, we used a structured life course modeling approach (SLCMA) as well as exposure mixture methods (quantile g-computation and SOM). Results Prenatal exposure to IAP or PFs, as well as the total prenatal mixture assessed using quantile g-computation, were associated with increased psychopathology. SLCMA and SOM models also indicated that the prenatal period is a sensitive period for IAP exposure on childhood psychopathology. Depression and alcohol were associated in both the pre-and postnatal period, while CO was associated with the postnatal period. Discussion Pregnancy may be a sensitive period for the effect of indoor air pollution on childhood psychopathology. Exposure to maternal depression and alcohol in both periods was also associated with psychopathology. Determining sensitive periods of exposure is vital to ensure effective interventions to reduce childhood psychopathology.
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Lin LZ, Chen JH, Yu YJ, Dong GH. Ambient air pollution and infant health: a narrative review. EBioMedicine 2023:104609. [PMID: 37169689 PMCID: PMC10363448 DOI: 10.1016/j.ebiom.2023.104609] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/26/2023] [Accepted: 04/24/2023] [Indexed: 05/13/2023] Open
Abstract
The extensive evidence regarding the effects of ambient air pollution on child health is well documented, but limited review summarized their health effects during infancy. Symptoms or health conditions attributed to ambient air pollution in infancy could result in the progression of severe diseases during childhood. Here, we reviewed previous empirical epidemiological studies and/or reviews for evaluating the linkages between ambient air pollution and various infant outcomes including adverse birth outcomes, infant morbidity and mortality, early respiratory health, early allergic symptoms, early neurodevelopment, early infant growth and other relevant outcomes. Patterns of the associations varied by different pollutants (i.e., particles and gaseous pollutants), exposure periods (i.e., pregnancy and postpartum) and exposure lengths (i.e., long-term and short-term). Protection of infant health requires that paediatricians, researchers, and policy makers understand to what extent infants are affected by ambient air pollution, and a call for action is still necessary to reduce ambient air pollution.
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Affiliation(s)
- Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jin-Hui Chen
- School of Public Policy and Management, Tsinghua University, Beijing, 100084, China; High-Tech Research and Development Center, Ministry of Science and Technology, Beijing, 100044, China
| | - Yun-Jiang Yu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China.
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Grineski S, Alexander C, Renteria R, Collins TW, Bilder D, VanDerslice J, Bakian A. Trimester-specific ambient PM 2.5 exposures and risk of intellectual disability in Utah. ENVIRONMENTAL RESEARCH 2023; 218:115009. [PMID: 36495968 PMCID: PMC9845186 DOI: 10.1016/j.envres.2022.115009] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
Prenatal fine particulate matter (PM2.5) exposure is an understudied risk factor for neurodevelopmental outcomes, including intellectual disability (ID). Associations among prenatal exposures and neurodevelopmental outcomes may vary depending on the timing of exposure. Limited numbers of studies examining PM2.5 and neurodevelopmental outcomes have considered exposures occurring during the preconception period. To address these gaps, we conducted a case-control study of children born in Utah between 2002 and 2008 (n = 1032). Cases were identified using methods developed by the Centers for Disease Control and Prevention's Autism and Developmental Disabilities Monitoring Network and matched with controls on birth year, sex, and birth county. We estimated the daily average PM2.5 concentration during a period spanning 12 weeks before the estimated conception date, as well as during each of the three trimesters at the maternal residential address listed on the child's birth certificate. In a multivariable model, the third (OR: 2.119, CI: 1.123-3.998, p = .021) and fourth (OR: 2.631, CI: 1.750-3.956, p < .001) quartiles for preconception average PM2.5 demonstrated significantly increased risk of ID relative to the first quartile. Second quartile preconception exposure was also associated with increased risk, though it did not reach significance (OR: 1.385, CI: 0.979-1.959, p = .07). The fourth quartile of first trimester average PM2.5 was positive and significant (OR: 2.278, CI: 1.522-3.411, p < .001); the third quartile was positive, but not significant (OR: 1.159, CI: 0.870-1.544, p = .312). Quartiles of second and third trimester were not associated with higher risk of ID. These findings from Utah, which were robust to a variety of sensitivity analyses, provide initial evidence that preconception and prenatal PM2.5 exposure may be associated with ID. Future studies are needed across other geographic locations and populations.
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Dong X, Zhou A. Associations of maternal pre-pregnancy body mass index and gestational weight gain with risk of offspring neurodevelopment at 2 years: A Chinese birth cohort study. Front Pediatr 2023; 11:1165743. [PMID: 37144148 PMCID: PMC10151668 DOI: 10.3389/fped.2023.1165743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/21/2023] [Indexed: 05/06/2023] Open
Abstract
Introduction In recent decades, there has been a surge in both obesity and developmental impairments. Only a few research have looked at the relationship between gestational weight growth and pre-pregnancy BMI in mothers and the neurobehavioral development of their infants. The current research investigates the associations among maternal pre-pregnancy BMI, GWG, and the risk of child neural development at 2 years of age depending on a Chinese birth prospective study. Methods The study population was 3,115 mother-infant pairs were registered in the Wuhan Health Baby cohort between September 2013 and October 2018, and data from this cohort was used in this investigation. The Chinese classification was used to group maternal BMI before conception. Based on the 2019 Life Cycle Project-Maternal Obesity and Childhood Outcomes Study Group, categories for GWG were created. The outcome was an assessment of child neural development at age 2 which was measured by employing a Chinese translation of the Bayley scales (BSID-CR). The multivariate regression models were used to calculate the beta (β) coefficients and 95% confidence intervals (CIs) for estimating the associations between continuous Bayley scores and maternal pre-pregnancy BMI categories, as same as in GWG categories. Results Infants of overweight and obese moms exhibited lower MDI scores than those of mothers with normal pre-pregnancy BMI (β = -2.510, 95%CI = -4.821 to -0.200) in the entire sample. Meanwhile, we find among the normal pre-pregnancy BMI mothers, infants of inadequate GWG mothers had lower MDI scores (β = -3.952, 95%CI = -7.809 to -0.094) compared with the referenced adequate GWG mothers, as well as the infants of excessive GWG mothers among the underweight pre-pregnancy BMI mothers (β = -5.173, 95%CI = -9.803 to -0.543). The PDI scores of the infants were not affected by the maternal pre-pregnancy BMI or GWG. Conclusion For Chinese babies aged 2 in this nationally representative sample, aberrant pre-pregnancy BMI and GWG can impair infants' mental development, but not psychomotor development. Such results are significant given the incidence of overweight and obesity as well as the long-term effects of early brain development. In this study we found optimal GWG recommendations proposed by 2019 Life Cycle Project-Maternal Obesity and Childhood Outcomes Study Group were more suitable for Chinese women than 2009 Institute of Medicine(IOM) guidelines. Additionally, women should be given general advice on how to achieve their ideal pre-pregnancy BMI and GWG.
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Affiliation(s)
- Xiaohan Dong
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Aifen Zhou
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
- Correspondence: Aifen Zhou
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Lei X, Zhang Y, Wang Z, Lu Z, Pan C, Zhang S, Chen Q, Yuan T, Zhang J, Gao Y, Tian Y. Effects of prenatal exposure to PM 2.5 and its composition on cognitive and motor functions in children at 12 months of age: The Shanghai Birth Cohort Study. ENVIRONMENT INTERNATIONAL 2022; 170:107597. [PMID: 36327589 DOI: 10.1016/j.envint.2022.107597] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 09/30/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Prenatal fine particulate matter (PM2.5) exposure has been linked to infant cognitive and motor functions, but the effects of PM2.5 chemical composition remain unclear. OBJECTIVES We aimed to explore the associations of prenatal PM2.5 and its composition exposure with infant cognitive and motor functions. METHODS We studied 2,435 mother-infant pairs in the Shanghai Birth Cohort Study. PM2.5 and its seven compositions [primary particles (black carbon, mineral dust and sea salts) and secondary particles (NH4+, NO3-, SO42- and organic matter)] during thethreetrimesters ofpregnancy were retrieved from the V4.CH.03 product developed by using a combined geoscience-statistical method. At the 12-month-old follow-up, infant cognitive and motor functions in five domains were assessed using the Ages and Stages Questionnaire (ASQ). We used multivariable linear regressions to estimate the effects of PM2.5 and its composition on the ASQ scores, for all infants and stratifying by sex and breastfeeding duration. RESULTS PM2.5 exposure was negatively associated with gross motor, problem-solving and personal-social scores for all infants. PM2.5 compositions were inversely associated with ASQ scores in all five domains, and the effects of different compositions varied across domains. Specifically, all compositions except organic matter were correlated with lower problem-solving scores [e.g., ( [Formula: see text] = - 10.79, 95 % CI: -17.40, -4.18) ∼ ( [Formula: see text] = - 4.68, 95 % CI: -7.84, -1.53); for each 10 μg/m3 increase in PM2.5 compositions during the third trimester]. Primary and some secondary particles (organic matter, NO3-) were related to lower gross motor scores. Secondary particles were also inversely associated with communication (organic matter and NO3-), fine motor (NH4+, NO3-, SO42-) and personal-social (NH4+) scores. Additionally, boys and infants breastfed for < 6 months appeared to be more susceptible. CONCLUSIONS We found negative associations of PM2.5 and its compositions with infant cognitive and motor functions over a range of domains, especially the problem-solving domain.
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Affiliation(s)
- Xiaoning Lei
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yan Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zixia Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhenping Lu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chengyu Pan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Shanyu Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Tao Yuan
- State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yu Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Ying Tian
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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Wang P, Zhou Y, Zhao Y, Zhao W, Wang H, Li J, Zhang L, Wu M, Xiao X, Shi H, Ma W, Zhang Y. Prenatal fine particulate matter exposure associated with placental small extracellular vesicle derived microRNA and child neurodevelopmental delays. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 841:156747. [PMID: 35716750 DOI: 10.1016/j.scitotenv.2022.156747] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/12/2022] [Accepted: 06/13/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND AIMS Prenatal fine particulate matter (PM2.5) exposure has been linked to adverse neurodevelopment. However, epidemiological evidence remains inconclusive and little information about the effects of various PM2.5 components on child neurodevelopment is currently known. The underlying mechanism was also not elucidated. The study aimed to evaluate the effects of PM2.5 and components exposure on child neurodevelopmental delays and the role of placental small extracellular vesicles (sEVs)-derived miRNAs in the associations. METHODS We included 267 mother-child pairs in this analysis. Prenatal PM2.5 and components (i.e. elements, water-soluble ions, and PAHs) exposure during three trimesters were monitored through personal PM2.5 sampling. Child neurodevelopment at 2, 6, and 12 months old were evaluated by Ages and Stages Questionnaire (ASQ). We isolated sEVs from placental tissue to analyze the change of sEVs-derived miRNAs in response to PM2.5. Associations between the PM2.5-associated miRNAs and child neurodevelopment were evaluated using multivariate linear regression models. RESULTS The PM2.5 exposure levels in the three trimesters range from 2.51 to 185.21 μg/m3. Prenatal PM2.5 and the components of Pb, Al, V and Ti exposure in the second and third trimester were related to decreased ASQ scores communication, problem-solving and personal-social domains in children aged 2 or 6 months. RNA sequencing identified fifteen differentially expressed miRNAs. The miR-101-3p and miR-520d-5p were negatively associated with PM2.5 and Pb component. miR-320a-3p expression was positively associated with PM2.5 and V component. Meanwhile, the miR-320a-3p was associated with decreased ASQ scores, as reflected by ASQ-T (β: -2.154, 95 % CI: -4.313, -0.516) and problem-solving domain (β: -0.605, 95 % CI: -1.111, -0.099) in children aged 6 months. CONCLUSION Prenatal exposure to PM2.5 and its Pb, Al, V & Ti component were associated with infant neurodevelopmental delays. The placenta sEVs derived miRNAs, especially miR-320a-3p, might contribute to an increased risk of neurodevelopmental delays.
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Affiliation(s)
- Pengpeng Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yuhan Zhou
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yingya Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wenxuan Zhao
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Hang Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jinhong Li
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Liyi Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Min Wu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xirong Xiao
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China
| | - Huijing Shi
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Wenjuan Ma
- Minhang Hospital, Fudan University, Shanghai 201199, China.
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
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Zeng Z, Xu X, Wang Q, Zhang Z, Meng P, Huo X. Maternal exposure to atmospheric PM 2.5 and fetal brain development: Associations with BAI1 methylation and thyroid hormones. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 308:119665. [PMID: 35738517 DOI: 10.1016/j.envpol.2022.119665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/13/2022] [Accepted: 06/18/2022] [Indexed: 02/05/2023]
Abstract
Maternal exposure to atmospheric fine particulate matter (PM2.5) during pregnancy is associated with adverse fetal development, including abnormal brain development. However, the underlying mechanisms and influencing factors remain uncertain. This study investigated the roles of DNA methylation in genes involving neurodevelopment and thyroid hormones (THs) in fetal brain development after maternal exposure to PM2.5 from e-waste. Among 939 healthy pregnant women recruited from June 2011 to September 2012, 101 e-waste-exposed and 103 reference mother-infant pairs (204 pairs totally) were included. Annual ground-level PM2.5 concentrations over e-waste-exposed area (116.38°E, 23.29°N) and reference area (116.67°E, 23.34°N) in 2011, 2012 were obtained by estimates and maternal exposure was evaluated by calculating individual chronic daily intakes (CDIs) of PM2.5. Methylation and THs including thyroid-stimulating hormone (TSH), free triiodothyronine (FT3) and free thyroxine (FT4) level were measured in umbilical cord blood collected shortly after delivery. We found higher ground-level PM2.5 concentrations led to greater individual CDI of PM2.5 in e-waste-exposed pregnant women. After adjustment for gender and birth BMI, significant mediation effects on the adverse associations of maternal PM2.5 exposure with birth head circumference were observed for methylations at positions +13 and + 32 (respectively mediated proportion of 9.8% and 5.3%, P < 0.05 and P < 0.01) in the brain-specific angiogenesis inhibitor 1 (BAI1) gene, but not for methylations in the catenin cadherin-associated protein, alpha 2 (CTNNA2) gene. BAI1 (position +13) methylation was also significantly correlated with FT3 levels (rs = -0.156, P = 0.032), although maternal CDI of PM2.5 was positively associated with higher odds of abnormal TSH levels (OR = 5.03, 95% CI: 1.00, 25.20, P = 0.05) rather than FT3 levels. Our findings suggest that methylation (likely linked to THs) in neonates may play mediation roles associated with abnormal brain development risk due to maternal exposure to atmospheric PM2.5 from e-waste.
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Affiliation(s)
- Zhijun Zeng
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Xijin Xu
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, Shantou, 515041, Guangdong, China; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Qihua Wang
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Zhuxia Zhang
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Peipei Meng
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China
| | - Xia Huo
- Laboratory of Environmental Medicine and Developmental Toxicology, Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, Guangdong, China.
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