Authors
Yanbing Chen, Peiming Su, Qixian Gu, Huili Wei, Jialing Qiu, Guangming Tan
Published in
Scientific reports. Volume 16. Issue 1. Jul 28, 2026. Epub Jul 28, 2026.
Abstract
Limited is known about how the components of particulate matter with aerodynamic diameter < 2.5 μm (PM2.5) are related to congenital heart disease (CHD). We aimed to demonstrate the relationship between exposure to PM2.5 components during early pregnancy and the risk of CHD. This study included 2,601,300 live births and stillbirths in Guangdong, China from 2014 to 2017. Satellite remote sensing data of PM2.5 components were collected, including organic matter (OM), sulfate ([Formula: see text]), nitrate ([Formula: see text]), ammonium ([Formula: see text]), and black carbon (BC). Unconditional logistic regression models were constructed to estimate the relationship of each PM2.5 component to CHD. The quantile g-computation method was used to evaluate the contribution weight of each PM2.5 component in relation to CHD in the exposure mixture. The estimated effect size of each PM2.5 component peaked in the first week of pregnancy. Among them, [Formula: see text] exhibited the strongest estimated effect (OR: 2.23, 95% CI 2.19-2.27), followed by BC (OR: 1.95, 95% CI 1.91-1.98). The joint exposure analysis revealed that the estimated weights of [Formula: see text] and BC were 86.78% and 13.22%, respectively. These findings suggest that exposure to PM2.5 components during early pregnancy increases the risk of CHD in the offspring, and [Formula: see text] may be the primary PM2.5 component responsible for this elevated risk.
PMID:
42686926
Bibliographic data and abstract were imported from PubMed on 03 Sep 2026.
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