Rui Yu, Cheng Chen, Mingyu Deng, Nian Wu, Yanling Xiao, Songlin An, Lin Tao, Xingting Zheng, Jing Yang, Zhongmei Hu, Pei Xu, Xingyan Liu, Shimin Xiong, Yan Xie, Rong Zeng, Xubo Shen, Yijun Liu, Yuanzhong Zhou
{"title":"暴露于多环芳烃与妊娠高血压疾病的单一和联合关联:一项巢式病例对照研究","authors":"Rui Yu, Cheng Chen, Mingyu Deng, Nian Wu, Yanling Xiao, Songlin An, Lin Tao, Xingting Zheng, Jing Yang, Zhongmei Hu, Pei Xu, Xingyan Liu, Shimin Xiong, Yan Xie, Rong Zeng, Xubo Shen, Yijun Liu, Yuanzhong Zhou","doi":"10.1016/j.envpol.2025.126275","DOIUrl":null,"url":null,"abstract":"Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous organic pollutants frequently detected in women of childbearing age. Prenatal PAH exposure has been associated with adverse pregnancy outcomes. However, their impact on hypertensive disorders of pregnancy (HDP) remains unclear. To address this gap, we analyzed urinary levels of 10 PAH metabolites in 516 pregnant women from the Zunyi Birth Cohort using high-performance gas chromatography-tandem mass spectrometry. Multivariate logistic regression assessed associations between individual PAH metabolites and HDP, while Bayesian Kernel Machine Regression (BKMR) was used to evaluate joint and individual effects of PAH mixtures. Weighted quantile sum (WQS) regression and quantile g-computation (QGC) models were applied to estimate the combined exposure effects on HDP risk. Among the 10 PAH metabolites, 2-OH-FLU had the highest detection rate (86.82%), while 4-OH-PHE had the lowest (58.91%). Individual exposure analysis revealed significant associations between HDP risk and 1-OH-NAP (odds ratio [OR]: 1.268; 95% confidence interval [CI]: 1.083–1.484) and 4-OH-PHE (OR: 1.666; 95% CI: 1.212–2.290) concentrations. The BKMR model indicated a positive overall association between PAH mixtures and HDP, with 1-OH-NAP and 4-OH-PHE showing the strongest upward trends. In WQS regression, these two metabolites contributed the most significant positive weights to HDP risk. Similarly, the QGC model revealed a significant association (OR: 1.375; 95% CI: 1.019–1.855) between a quartile increase in PAH mixtures and elevated HDP risk. Our findings indicate that prenatal PAH exposure is associated with increased HDP risk. Further studies are needed to confirm these associations and elucidate underlying biological mechanisms.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"1 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Single and joint associations of exposure to polycyclic aromatic hydrocarbons with hypertensive disorders of pregnancy: a nested case-control study\",\"authors\":\"Rui Yu, Cheng Chen, Mingyu Deng, Nian Wu, Yanling Xiao, Songlin An, Lin Tao, Xingting Zheng, Jing Yang, Zhongmei Hu, Pei Xu, Xingyan Liu, Shimin Xiong, Yan Xie, Rong Zeng, Xubo Shen, Yijun Liu, Yuanzhong Zhou\",\"doi\":\"10.1016/j.envpol.2025.126275\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous organic pollutants frequently detected in women of childbearing age. Prenatal PAH exposure has been associated with adverse pregnancy outcomes. However, their impact on hypertensive disorders of pregnancy (HDP) remains unclear. To address this gap, we analyzed urinary levels of 10 PAH metabolites in 516 pregnant women from the Zunyi Birth Cohort using high-performance gas chromatography-tandem mass spectrometry. Multivariate logistic regression assessed associations between individual PAH metabolites and HDP, while Bayesian Kernel Machine Regression (BKMR) was used to evaluate joint and individual effects of PAH mixtures. Weighted quantile sum (WQS) regression and quantile g-computation (QGC) models were applied to estimate the combined exposure effects on HDP risk. Among the 10 PAH metabolites, 2-OH-FLU had the highest detection rate (86.82%), while 4-OH-PHE had the lowest (58.91%). Individual exposure analysis revealed significant associations between HDP risk and 1-OH-NAP (odds ratio [OR]: 1.268; 95% confidence interval [CI]: 1.083–1.484) and 4-OH-PHE (OR: 1.666; 95% CI: 1.212–2.290) concentrations. The BKMR model indicated a positive overall association between PAH mixtures and HDP, with 1-OH-NAP and 4-OH-PHE showing the strongest upward trends. In WQS regression, these two metabolites contributed the most significant positive weights to HDP risk. Similarly, the QGC model revealed a significant association (OR: 1.375; 95% CI: 1.019–1.855) between a quartile increase in PAH mixtures and elevated HDP risk. Our findings indicate that prenatal PAH exposure is associated with increased HDP risk. Further studies are needed to confirm these associations and elucidate underlying biological mechanisms.\",\"PeriodicalId\":311,\"journal\":{\"name\":\"Environmental Pollution\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Pollution\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.envpol.2025.126275\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Pollution","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.envpol.2025.126275","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Single and joint associations of exposure to polycyclic aromatic hydrocarbons with hypertensive disorders of pregnancy: a nested case-control study
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous organic pollutants frequently detected in women of childbearing age. Prenatal PAH exposure has been associated with adverse pregnancy outcomes. However, their impact on hypertensive disorders of pregnancy (HDP) remains unclear. To address this gap, we analyzed urinary levels of 10 PAH metabolites in 516 pregnant women from the Zunyi Birth Cohort using high-performance gas chromatography-tandem mass spectrometry. Multivariate logistic regression assessed associations between individual PAH metabolites and HDP, while Bayesian Kernel Machine Regression (BKMR) was used to evaluate joint and individual effects of PAH mixtures. Weighted quantile sum (WQS) regression and quantile g-computation (QGC) models were applied to estimate the combined exposure effects on HDP risk. Among the 10 PAH metabolites, 2-OH-FLU had the highest detection rate (86.82%), while 4-OH-PHE had the lowest (58.91%). Individual exposure analysis revealed significant associations between HDP risk and 1-OH-NAP (odds ratio [OR]: 1.268; 95% confidence interval [CI]: 1.083–1.484) and 4-OH-PHE (OR: 1.666; 95% CI: 1.212–2.290) concentrations. The BKMR model indicated a positive overall association between PAH mixtures and HDP, with 1-OH-NAP and 4-OH-PHE showing the strongest upward trends. In WQS regression, these two metabolites contributed the most significant positive weights to HDP risk. Similarly, the QGC model revealed a significant association (OR: 1.375; 95% CI: 1.019–1.855) between a quartile increase in PAH mixtures and elevated HDP risk. Our findings indicate that prenatal PAH exposure is associated with increased HDP risk. Further studies are needed to confirm these associations and elucidate underlying biological mechanisms.
期刊介绍:
Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health.
Subject areas include, but are not limited to:
• Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies;
• Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change;
• Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects;
• Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects;
• Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest;
• New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.