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Prenatal air pollution, maternal immune activation, and autism spectrum disorder.
Yu, Xin; Mostafijur Rahman, Md; Carter, Sarah A; Lin, Jane C; Zhuang, Zimin; Chow, Ting; Lurmann, Frederick W; Kleeman, Michael J; Martinez, Mayra P; van Donkelaar, Aaron; Martin, Randall V; Eckel, Sandrah P; Chen, Zhanghua; Levitt, Pat; Schwartz, Joel; Hackman, Daniel; Chen, Jiu-Chiuan; McConnell, Rob; Xiang, Anny H.
Afiliación
  • Yu X; Spatial Science Institute, University of Southern California, Los Angeles, CA, USA.
  • Mostafijur Rahman M; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Environmental Health Sciences, Tulane University School of Public Health and Tropical Medicine, USA.
  • Carter SA; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Lin JC; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Zhuang Z; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Chow T; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • Lurmann FW; Sonoma Technology, Inc., Petaluma, CA, USA.
  • Kleeman MJ; Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA,USA.
  • Martinez MP; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
  • van Donkelaar A; Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, MO 63130, USA.
  • Martin RV; Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, MO 63130, USA.
  • Eckel SP; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Chen Z; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Levitt P; Department of Pediatrics and Program in Developmental Neuroscience and Neurogenetics, Keck School of Medicine, The Saban Research Institute, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA.
  • Schwartz J; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Hackman D; USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA.
  • Chen JC; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • McConnell R; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Xiang AH; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA. Electronic address: anny.h.xiang@kp.org.
Environ Int ; 179: 108148, 2023 09.
Article en En | MEDLINE | ID: mdl-37595536
BACKGROUND: Autism Spectrum Disorder (ASD) risk is highly heritable, with potential additional non-genetic factors, such as prenatal exposure to ambient particulate matter with aerodynamic diameter < 2.5 µm (PM2.5) and maternal immune activation (MIA) conditions. Because these exposures may share common biological effect pathways, we hypothesized that synergistic associations of prenatal air pollution and MIA-related conditions would increase ASD risk in children. OBJECTIVES: This study examined interactions between MIA-related conditions and prenatal PM2.5 or major PM2.5 components on ASD risk. METHODS: In a population-based pregnancy cohort of children born between 2001 and 2014 in Southern California, 318,751 mother-child pairs were followed through electronic medical records (EMR); 4,559 children were diagnosed with ASD before age 5. Four broad categories of MIA-related conditions were classified, including infection, hypertension, maternal asthma, and autoimmune conditions. Average exposures to PM2.5 and four PM2.5 components, black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-), were estimated at maternal residential addresses during pregnancy. We estimated the ASD risk associated with MIA-related conditions, air pollution, and their interactions, using Cox regression models to adjust for covariates. RESULTS: ASD risk was associated with MIA-related conditions [infection (hazard ratio 1.11; 95% confidence interval 1.05-1.18), hypertension (1.30; 1.19-1.42), maternal asthma (1.22; 1.08-1.38), autoimmune disease (1.19; 1.09-1.30)], with higher pregnancy PM2.5 [1.07; 1.03-1.12 per interquartile (3.73 µg/m3) increase] and with all four PM2.5 components. However, there were no interactions of each category of MIA-related conditions with PM2.5 or its components on either multiplicative or additive scales. CONCLUSIONS: MIA-related conditions and pregnancy PM2.5 were independently associations with ASD risk. There were no statistically significant interactions of MIA conditions and prenatal PM2.5 exposure with ASD risk.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Contaminación del Aire / Trastorno del Espectro Autista / Hipertensión Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Child, preschool / Female / Humans / Pregnancy Idioma: En Revista: Environ Int Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Contaminación del Aire / Trastorno del Espectro Autista / Hipertensión Tipo de estudio: Etiology_studies / Prognostic_studies Límite: Child, preschool / Female / Humans / Pregnancy Idioma: En Revista: Environ Int Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos