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颗粒物成分对中国孕妇妊娠期糖尿病的影响:维生素B的潜在调节作用

Effects of PM constituents on gestational diabetes mellitus in Chinese pregnant women: The potential modifying role of vitamin B.

作者信息

Li Chen, Zhang Dongfang, Li Xiang, Zhang Yibin, Sun Guangbin, Zhou Hongyu, Xi Rui, Yuan Haoyang, Zhang Liwen, Zhang Xumei, Li Shuying, Zhang Qiang, Yang Xueli

机构信息

Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China.

Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.

出版信息

Environ Res. 2025 Oct 1;282:122003. doi: 10.1016/j.envres.2025.122003. Epub 2025 May 29.

Abstract

Associations of PM and its constituents with gestational diabetes mellitus (GDM) are still unclear, and little is known about the impact of vitamin B. The Gene-Environment-Nutrient-Epigenetics interaction on Maternal and Children health study (GENEMaC) cohort was conducted during 2017-2018 in Tianjin, China, and 1396 eligible women were included in the final analysis. Spatiotemporal models were used to estimate PM exposure levels and its constituents, including sulfate (SO), ammonium (NH), nitrate (NO), organic matter (OM), black carbon (BC). Logistic regression and distributed lag non-linear model (DLNM) were used to assess each pollutant-GDM association. Weighted quantile sum (WQS) regression was conducted to assess the extent of contributions of pollutants co-exposure to GDM. The logistic regression showed that exposures to PM, NO, and NH during the 2nd trimester of pregnancy increased the risk of GDM. DLNM analyses observed a lag exposure-response relationship for each constituent, while BC exposed in the 2nd trimester was displayed as the top contributor in the WQS model. The joint effects of constituents exposure (high versus low) and serum B (tertiles) on GDM were further evaluated, and the highest risks of GDM were consistently observed in the low B level and high pollution groups for SO, NO, and NH. These findings provide evidence of the impact of PM components on GDM and highlight the susceptibility of pregnant women with low B levels to air pollution.

摘要

细颗粒物(PM)及其成分与妊娠期糖尿病(GDM)之间的关联仍不明确,而关于维生素B的影响知之甚少。基因-环境-营养-表观遗传学对母婴健康影响的研究(GENEMaC)队列研究于2017年至2018年在中国天津进行,最终分析纳入了1396名符合条件的女性。使用时空模型来估计PM暴露水平及其成分,包括硫酸盐(SO)、铵(NH)、硝酸盐(NO)、有机物(OM)、黑碳(BC)。使用逻辑回归和分布滞后非线性模型(DLNM)来评估每种污染物与GDM的关联。进行加权分位数和(WQS)回归以评估污染物共同暴露对GDM的贡献程度。逻辑回归表明,孕期第二个月暴露于PM、NO和NH会增加患GDM的风险。DLNM分析观察到每种成分的滞后暴露-反应关系,而在WQS模型中,孕期第二个月暴露的BC被显示为最大贡献因素。进一步评估了成分暴露(高与低)和血清B(三分位数)对GDM的联合效应,在低B水平和高污染组(SO、NO和NH)中始终观察到GDM的最高风险。这些发现提供了PM成分对GDM影响的证据,并突出了低B水平孕妇对空气污染的易感性。

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