Newborn Metabolomics Linking Prenatal Air Pollution Exposure and Autism Spectrum Disorder Risk in Children

21 Pages Posted: 27 Jul 2024

See all articles by Ni Kang

Ni Kang

University of Southern California

Lauren M. Petrick

Mount Sinai Health System - Department of Environmental Medicine and Public Health; Sheba Medical Center

Jiawen Liao

University of Southern California

Wu Chen

University of Southern California

Md Mostafijur Rahman

University of Southern California - Department of Population and Public Health Sciences

Sarah Carter

University of Southampton - Medical Research Council Life Course Epidemiology Unit

Nathan Pavlovic

Sonoma Technology

Fred Lurmann

Sonoma Technology

Ting Chow

Kaiser Permanente Southern California

Mayra P. Martinez

Kaiser Permanente Southern California

Xin Yu

University of Southern California

Jane C. Lin

Kaiser Permanente Southern California

Sandrah P. Eckel

University of Southern California

Joel Schwartz

Harvard University - Department of Environmental Health

JC Chen

University of Southern California

Rob McConnell

University of Southern California

Anny H. Xiang

University of Southern California - Department of Population and Public Health Sciences

Zhanghua Chen

University of Southern California - Department of Population and Public Health Sciences

Abstract

Autism spectrum disorder (ASD) is the leading cause of disability in children younger than 5 years of age. Prenatal PM2.5 and nonfreeway NOx, have been associated with increased ASD risk in children. However, the key metabolic pathways and corresponding metabolite signatures in children that are altered by air pollution exposure and involved with ASD are unknown. To fill the gaps, an advanced metabolomics approach can be leveraged to investigate metabolic pathways and biological mechanisms linking air pollution exposure and ASD.Using electronic medical records, 50 ASD cases diagnosed before age 5 and 50 controls matched on birth year, medical center, sex, and race/ethnicity were randomly selected from all children born at Kaiser Permanente Southern California between 2007-2009. Weekly PM2.5 and monthly nonfreeway NOx exposures during pregnancy were estimated based on residential history using spatiotemporal prediction and California line-source dispersion models, respectively. Untargeted, high-resolution metabolomics was analyzed in archived newborn dry blood spots, resulting in 26,578 HILIC-positive and 27,614 C18-negative metabolomic features. Conditional logistic regression was used to identify metabolomic features associated with ASD diagnosis. Linear regression was used to investigate associations between prenatal air pollution exposure and metabolomic features. Beyond matching factors, maternal age, education level and household income categories were adjusted in the analyses. Mummichog pathway analysis was performed to identify metabolic pathways associated with air pollution exposures and ASD.Dysregulated aspartate and asparagine metabolism was associated with increased ASD risk (p=0.01) and higher PM2.5 exposure during the 1st trimester and the entire pregnancy (p<0.001). Nonfreeway NOx was associated with aspartate and asparagine metabolism(p=0.003), which also associated with increased ASD risk (p=0.01). Dysregulated metabolism reflected in aspartate and asparagine was associated with prenatal air pollution exposure, increasing our understanding of oxidative stress and inflammation related to ASD under adverse environmental conditions may inform about ASD risk in future studies.

Note:
Funding declaration: This study was supported by National Institutes of Environmental Health Sciences (R01 ES029963 (Xiang, McConnell); R56ES028121 (Xiang); P30ES007048 (McConnell); R00ES027870 (Chen), and by Kaiser Permanente Southern California Direct Community Benefit Funds. Joel Schwartz was supported by EPA grant RD-835872. This project is supported by the pilot project program of Southern California Environmental Health Center (P30ES007048). The funding agencies had no role in the design of the study, the analysis or interpretation of data, or the preparation or approval of the manuscript

Conflict of Interests: The authors declare they have no actual or potential competing interests. Joel Schwartz declares that he has testified on behalf of the U.S. Department of Justice in a case involving a Clean Air Act violation. Frederick Lurmann is employed by Sonoma Technology, Inc., Petaluma, CA.

Ethics statement: Both KPSC and University of Southern California Institutional Review Boards approved this study.

Keywords: dysregulated metabolic pathway, Autism spectrum disorder, Air pollution exposure, oxidative stress and inflammation, Metabolomics

Suggested Citation

Kang, Ni and Petrick, Lauren M. and Liao, Jiawen and Chen, Wu and Rahman, Md Mostafijur and Carter, Sarah and Pavlovic, Nathan and Lurmann, Fred and Chow, Ting and Martinez, Mayra P. and Yu, Xin and Lin, Jane C. and Eckel, Sandrah P. and Schwartz, Joel and Chen, JC and McConnell, Rob and Xiang, Anny H. and Chen, Zhanghua, Newborn Metabolomics Linking Prenatal Air Pollution Exposure and Autism Spectrum Disorder Risk in Children. Available at SSRN: https://ssrn.com/abstract=4902002 or http://dx.doi.org/10.2139/ssrn.4902002

Ni Kang

University of Southern California ( email )

2250 Alcazar Street
Los Angeles, CA 90089
United States

Lauren M. Petrick

Mount Sinai Health System - Department of Environmental Medicine and Public Health ( email )

Sheba Medical Center ( email )

Jiawen Liao

University of Southern California ( email )

2250 Alcazar Street
Los Angeles, CA 90089
United States

Wu Chen

University of Southern California ( email )

2250 Alcazar Street
Los Angeles, CA 90089
United States

Md Mostafijur Rahman

University of Southern California - Department of Population and Public Health Sciences ( email )

Sarah Carter

University of Southampton - Medical Research Council Life Course Epidemiology Unit ( email )

Nathan Pavlovic

Sonoma Technology ( email )

Fred Lurmann

Sonoma Technology ( email )

Petaluma, CA
United States

Ting Chow

Kaiser Permanente Southern California ( email )

Mayra P. Martinez

Kaiser Permanente Southern California ( email )

Xin Yu

University of Southern California ( email )

2250 Alcazar Street
Los Angeles, CA 90089
United States

Jane C. Lin

Kaiser Permanente Southern California ( email )

Sandrah P. Eckel

University of Southern California

2250 Alcazar Street
Los Angeles, CA 90089
United States

Joel Schwartz

Harvard University - Department of Environmental Health

Jc Chen

University of Southern California ( email )

Rob Mcconnell

University of Southern California ( email )

Anny H. Xiang

University of Southern California - Department of Population and Public Health Sciences ( email )

Zhanghua Chen (Contact Author)

University of Southern California - Department of Population and Public Health Sciences ( email )

Los Angeles, CA
United States

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