Mapping the exposome–microbiota–host axis for prenatal origins of infant health

Prenatal exposures influence infant health, yet the microbiota related mechanisms remain unclear. We profiled 776 maternal exposome variables and meconium microbiota in 1,689 mother-infant pairs, establishing a network linking maternal exposures, neonatal microbiota, and 10 infant outcomes. Using multiomics, pathway enrichment, and robust regression, we identified maternal anthropometrics and clinical indicators as key predictors of infant development, and specific metabolic and chemical exposures as major factors associated with microbiota composition. These microbial changes were associated with infant growth, eczema, and neurodevelopment. Notably, maternal metabolites (e.g., cholesterol) and environmental chemicals (e.g., triphenyl phosphate and perfluorobutane sulfonic acid) were associated with microbiota composition, particularly in Firmicutes, Proteobacteria, and Bacteroidetes. Our findings establish a prenatal exposome-microbiota-host axis, offering a scalable framework to understand early-life health determinants and guide preventive strategies.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-08-03
DOI
https://doi.org/10.1073/pnas.2600701123
Primary Topic
Health, Environment, Cognitive Aging
Type
article
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article

Mapping the exposome–microbiota–host axis for prenatal origins of infant health

Rui Huang, Yusheng Guan, Yingtong Jiang, Adrian Covaci et al.
Proceedings of the National Academy of Sciences
Health, Environment, Cognitive Aging
article

Mapping the exposome–microbiota–host axis for prenatal origins of infant health

Rui Huang, Yusheng Guan, Yingtong Jiang, Adrian Covaci, Jiawei Duan, Minjian Chen, Yankai Xia, Heidi Aase, Xinru Wang, Jingjing Zhou, Yuntian Xu, Ziyi Li
article en

Abstract

Prenatal exposures influence infant health, yet the microbiota related mechanisms remain unclear. We profiled 776 maternal exposome variables and meconium microbiota in 1,689 mother-infant pairs, establishing a network linking maternal exposures, neonatal microbiota, and 10 infant outcomes. Using multiomics, pathway enrichment, and robust regression, we identified maternal anthropometrics and clinical indicators as key predictors of infant development, and specific metabolic and chemical exposures as major factors associated with microbiota composition. These microbial changes were associated with infant growth, eczema, and neurodevelopment. Notably, maternal metabolites (e.g., cholesterol) and environmental chemicals (e.g., triphenyl phosphate and perfluorobutane sulfonic acid) were associated with microbiota composition, particularly in Firmicutes, Proteobacteria, and Bacteroidetes. Our findings establish a prenatal exposome-microbiota-host axis, offering a scalable framework to understand early-life health determinants and guide preventive strategies.

Proceedings of the National Academy of SciencesVol. 123(32)
Norwegian Institute of Public Health (NO), University of Antwerp (BE), Ministry of Education (KR), Nanjing Medical University (CN)
Openalex Percentile: Top 10%
Health, Environment, Cognitive Aging
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