Association of abnormal-glucose tolerance during pregnancy with exposure to PM2.5 components and sources. (1st January 2022)

• Record Type: Journal Article
• Authors: Mai, Dejian; Xu, Chengfang; Lin, Weiwei; Yue, Dingli; Fu, Shaojie; Lin, Jianqing; Yuan, Luan; Zhao, Yan; Zhai, Yuhong; Mai, Huiying; Zeng, Xiaoling; Jiang, Tingwu; Li, Xuejiao; Dai, Jiajia; You, Boning; Xiao, Qin; Wei, Qing; Hu, Qiansheng
• Is Part Of: Environmental pollution. Volume 292:Part B(2022)
• Publication Date: 2022-01-01
• Subjects: Fine particular matter -- Gestational diabetes mellitus -- Impaired glucose tolerance -- Chemical components -- Source apportionment; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2021.118468
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Maternal exposure to PM2.5 has been associated with abnormal glucose tolerance during pregnancy, but little is known about which constituents and sources are most relevant to glycemic effects. We conducted a retrospective cohort study of 1148 pregnant women to investigate associations of PM2.5 chemical components with gestational diabetes mellitus (GDM) and impaired glucose tolerance (IGT) and to identify the most harmful sources in Heshan, China from January 2015 to July 2016. We measured PM2.5 using filter-based method and analyzed them for 28 constituents, including carbonaceous species, water-soluble ions and metal elements. Contributions of PM2.5 sources were assessed by positive matrix factorization (PMF). Logistic regression model was used to estimate composition-specific and source-specific effects on GDM/IGT. Random forest algorithm was applied to evaluate the relative importance of components to GDM and IGT. PM2.5 total mass and several chemical constituents were associated with GDM and IGT across the early to mid-gestation periods, as were the PM2.5 sources fossil fuel/oil combustion, road dust, metal smelting, construction dust, electronic waster, vehicular emissions and industrial emissions. The trimester-specific associations differed among pollutants and sources. The third and highest quartile of elemental carbon, ammonium (NH4 + ), iron (Fe) and manganese (Mn) across gestation were consistently associated with higher odds of GDM/IGT. Maternal exposures to zinc (Zn), titanium (Ti) and vehicular emissions during the first trimester, and vanadium (V), nickel (Ni), road dust and fossil fuel/oil combustion during the second trimester were more important for GDM/IGT. This study provides important new evidence that maternal exposure to PM2.5 components and sources is significantly related to elevated risk for abnormal glucose tolerance during pregnancy. Graphical abstract: Image 1 Highlights: A retrospective cohort study reveals the key PM2.5 components relevant to GDM risk. Components that were most relevant to GDM risk included PM2.5 -bound Zn, Ti, Ni and V. Vehicle emissions, road dust and fuel combustion were important sources for GDM risk. The study supports urgent needs for policies targeting PM2.5 components and sources.