The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester

• DOI: 10.3389/fendo.2022.1060309
• Publication Date: 2022-12-02T10:10:52Z
• Authors: Xuyang Chen; Xue Zhao; Mary Beatrix Jones; Alexander Harper; Jamie V. de Seymour; Yang Yang; Yinyin Xia; Ting Zhang; Hongbo Qi; John Gulliver; Richard D. Cannon; Richard Saffery; Hua Zhang; Ting-Li Han; Philip N. Baker
• Keywords: Third trimester

Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown reflect pollution exposure, few examined link between maternal metabolome and The aim this study was investigate longitudinal relationship (from pre-conception through third trimester) GDM in Chinese cohort. A total 1020 women enrolled Complex Lipids Mothers Babies (CLIMB) birth cohort were included our study. Metabolites from segments collected pre-conception, first, second, trimesters analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure estimated by two methods, namely proximal land use regression (LUR) models, quality data monitoring station nearest participant's home. Logistic mixed models applied associations associated metabolites. Of 276 metabolites identified, concentrations fourteen significantly different cases non-GDM controls, some amino acids their derivatives, fatty acids, organic exogenous compounds. Three found lower (2-hydroxybutyric acid, citramalic myristic acid) also negatively daily average PM2.5, PM10, SO2, NO2, CO estimates PM2.5 positively O3. This demonstrated reflects changes occur response exposures development