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      Associations between maternal inflammation during pregnancy and infant birth outcomes in the Seychelles Child Development Study’

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          Abstract

          Markers of maternal inflammation may determine infant birth outcomes. Maternal serum samples were collected at 28 weeks gestation ( n =1418) in the Seychelles Child Development Study Nutrition Cohort 2 and analyzed for immune markers by MSD multiplex assay, including cytokines from the Th1 (IFN-γ, IL-1β, IL-2 and TNF-α) and Th2 (IL-4, IL-5, IL-10) subsets, with IL-6, MCP-1, TARC, sFlt-1 and VEGF-D. Associations of log-transformed immune markers with birthweight, length, head circumference and gestational age were assessed by multiple linear regression models, which were adjusted for maternal age, BMI, parity, child sex, gestational age and socioeconomic status. Neither total Th1, Th2 nor Th1:Th2 were significantly associated with any birth outcome. However, the angiogenesis marker VEGF-D was predictive of a lower birthweight, (β= −0.058, P =0.017) and birth length (β=−0.088, P =0.001) after adjusting for covariates. Higher concentrations of CRP were predictive of a lower birthweight (β=−0.057, P =0.023) and IL-2 (β=0.073, P =0.009) and the chemokine MCP-1 (β=0.067, P =0.016) were predictive of a longer gestational age. In our cohort of healthy pregnant women, we found no evidence for associations between the Th1 or Th2 inflammatory markers with birth outcomes. However, VEGF-D and CRP appear to predict lower birthweight and IL-2 and MCP-1 a longer gestation. Greater understanding is required of the variation in these immune markers at different gestational stages, as well as the factors which may regulate their balance in healthy pregnancy. n=233

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          Author and article information

          Journal
          Journal of Reproductive Immunology
          Journal of Reproductive Immunology
          Elsevier BV
          01650378
          October 2019
          October 2019
          : 102623
          Article
          10.1016/j.jri.2019.102623
          7028463
          31710980
          8b1b3428-0c0a-4c3c-bfd6-22dd285abb91
          © 2019

          https://www.elsevier.com/tdm/userlicense/1.0/

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