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

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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
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引用次数: 0

摘要

多环芳烃(PAHs)是育龄妇女体内普遍存在的有机污染物。产前多环芳烃暴露与不良妊娠结局有关。然而,它们对妊娠期高血压疾病(HDP)的影响尚不清楚。为了解决这一差距,我们使用高效气相色谱-串联质谱分析了来自遵义出生队列的516名孕妇尿液中10种多环芳烃代谢物的水平。多元逻辑回归评估了个体多环芳烃代谢物与HDP之间的关系,而贝叶斯核机回归(BKMR)用于评估多环芳烃混合物的联合和个体影响。采用加权分位数和(WQS)回归和分位数g-计算(QGC)模型估计综合暴露对HDP风险的影响。10种PAH代谢物中,2-OH-FLU检出率最高(86.82%),4-OH-PHE检出率最低(58.91%)。个体暴露分析显示HDP风险与1-OH-NAP之间存在显著相关性(比值比[OR]: 1.268;95%可信区间[CI]: 1.083-1.484)和4-OH-PHE (OR: 1.666;95% CI: 1.212-2.290)浓度。BKMR模型显示,PAH混合物与HDP总体呈正相关,其中1-OH-NAP和4-OH-PHE的上升趋势最强。在WQS回归中,这两种代谢物对HDP风险贡献最显著的正权重。同样,QGC模型显示了显著的关联(OR: 1.375;95% CI: 1.019-1.855)多环芳烃混合物四分位数增加与HDP风险升高之间的关系。我们的研究结果表明,产前多环芳烃暴露与HDP风险增加有关。需要进一步的研究来证实这些关联并阐明潜在的生物学机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Single and joint associations of exposure to polycyclic aromatic hydrocarbons with hypertensive disorders of pregnancy: a nested case-control study

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.
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
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.
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