五氯酚暴露、血浆代谢组学标志物和妊娠糖尿病:关联和潜在的中介分析

IF 7.3 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Pollution Pub Date : 2025-05-01 Epub Date: 2025-03-14 DOI:10.1016/j.envpol.2025.126069
Juan Wen , Shijie Geng , Juan Mu , Junya Wang , Yongmei Dai , Lingmin Hu
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引用次数: 0

摘要

五氯酚(PCP)是一种普遍存在于环境中的内分泌干扰化合物。有限的研究探讨了PCP暴露对妊娠期糖尿病(GDM)的影响,特别是代谢相关的机制。我们的研究旨在描述PCP暴露、血浆代谢组学标志物和GDM之间的相互关系,旨在阐明介导PCP-GDM关系的代谢组学特征。从中国常州的前瞻性队列中,进行了一项巢式病例对照研究,涉及154例GDM病例和308例对照。我们采集妊娠16周前的空腹血样,采用UPLC-MS/MS检测PCP水平。血浆代谢组学标记物采用非靶向代谢组学鉴定。采用多变量logistic回归和中介分析来检验PCP暴露、代谢组学标志物和GDM之间的关系。使用Mann-Whitney U检验,我们发现GDM患者的血清PCP水平(中位数:0.43 ng/mL, IQR: 0.28-0.77)明显高于对照组(中位数:0.38 ng/mL, IQR: 0.24-0.64;P = 0.041)。在考虑饮食模式的完全调整模型中,血清PCP各分位数GDM的OR (95%CI)值分别为1(参考)、1.24(0.73,2.11)和2.17(1.28,3.68),表明可能存在剂量-反应关系(P趋势= 0.004)。此外,在两组之间鉴定出152种差异代谢物(FDR <;0.05),涉及4种代谢途径:“氮代谢”、“丙氨酸、天冬氨酸和谷氨酸代谢”、“甘油磷脂代谢”和“嘧啶代谢”(FDR <;0.1)。中介分析显示,5种代谢组学标志物(如n -乙酰丙氨酸和4-乙酰氨基丁酸)在PCP与GDM (FDR <;0.05),中间比例为0.15 ~ 0.31。总之,中国东部孕妇普遍暴露于PCP,血清PCP水平与GDM风险呈正相关。PCP暴露相关的代谢组学变化可能部分介导PCP与GDM之间的联系。
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Pentachlorophenol exposure, plasma metabolomic markers, and gestational diabetes mellitus: Association and potential mediation analyses
Pentachlorophenol (PCP) is a pervasive endocrine-disrupting compound present in the environment. Limited research has explored the effects of PCP exposure on gestational diabetes mellitus (GDM), particularly the metabolites-related mechanism. Our study seeks to characterize the interrelationships between PCP exposure, plasma metabolomic markers, and GDM, aiming to elucidate the metabolomic profile mediating PCP-GDM relationship. From a prospective cohort in Changzhou, China, a nested case-control study was conducted, involving 154 GDM cases and 308 controls. We collected fasting blood samples before 16 weeks of gestation and determined PCP levels by UPLC-MS/MS. Plasma metabolomic markers were identified using untargeted metabolomics. Multivariate logistic regression and mediation analysis were used to examine the relationships among PCP exposure, metabolomic markers, and GDM. Using the Mann-Whitney U test, we found that serum PCP levels were significantly higher in GDM cases (median: 0.43 ng/mL, IQR: 0.28–0.77) compared to controls (median: 0.38 ng/mL, IQR: 0.24–0.64; P = 0.041). In the fully adjusted model, which additionally accounted for dietary patterns, the OR (95 %CI) values for GDM across tertiles of serum PCP were 1 (reference), 1.24 (0.73, 2.11), and 2.17 (1.28, 3.68), respectively, indicating a potential dose-response relationship (P trend = 0.004). Furthermore, 152 differential metabolites were identified between groups (FDR <0.05), implicating 4 metabolic pathways: "Nitrogen metabolism", "Alanine, aspartate and glutamate metabolism", "Glycerophospholipid metabolism", and "Pyrimidine metabolism" (FDR <0.1). Mediation analysis revealed that 5 metabolomic markers (such as N-Acetylalanine and 4-Acetamidobutyric acid) significantly mediated the association between PCP and GDM (FDR <0.05), with mediated proportions ranging from 0.15 to 0.31. Together, pregnant women in Eastern China exhibit widespread PCP exposure, with serum PCP levels positively associated with GDM risk. PCP exposure-related metabolomic changes may partially mediate the link between PCP and GDM.
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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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