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Abstract

The likelihood of later childhood obesity and disease appears to be influenced by obesity and excessive weight gain during pregnancy, as well as birth weight. Determining the mediators of this association, however, may be of therapeutic importance given the presence of additional confounding factors including genetics and other common influences. In order to detect metabolites in the child related with the mother’s GWG, the goal of this study is to evaluate the infant’s metabolic profile at delivery (cord blood) and at 6, and her 12 months postpartum. There it was. 154 newborn plasma samples (82 cord blood samples) and 46 and 26 of these samples at 6 and 12 months of age, respectively, had their nuclear magnetic resonance (NMR) metabolic profiles assessed. Relative frequencies of 73 metabolic parameters were measured in all samples. We performed univariate and machine learning analyzes on the association between maternal metabolic score and weight gain considering maternal age, body mass index (BMI), diabetes, dietary adherence and infant sex. Overall, our results showed differences between offspring corresponding to maternal weight gain tertiles,both at the univariate level and in machine learning models. Some of these differences disappeared at 6 months and her 12 months, but others persisted. Lactate and leucine were the metabolites with the strongest and longest association with maternal weight gain during pregnancy. Leucine and other important metabolites have historically been implicated in the metabolic health of both general and obese populations. Our results suggest that metabolic alterations associated with excess GWG are present in children from an early age.