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DOI 10.1080/14789450.2021.1940143

Медицинская библиотека · Expert review of proteomics · 2021

The clinical impact of maternal weight on offspring health: lights and shadows in breast milk metabolome.

Bardanzellu Flaminia, Puddu Melania, Peroni Diego Giampietro, Fanos Vassilios

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INTRODUCTION

Pre-pregnancy overweight and obesity, depending on maternal nutrition and metabolic state, can influence fetal, neonatal, and long-term offspring health, regarding cardio-metabolic, respiratory, immunological, and cognitive outcomes. Thus, maternal weight can act, through mechanisms not fully understood, on the physiology and metabolism of some fetal organs and tissues, to adapt themselves to the intrauterine environment and nutritional reserves. These effects can occur by modulating gene expression, neonatal microbiome, and through breastfeeding.

AREAS COVERED: In this paper, we investigated the potential effects of metabolites found altered in breast milk (BM) of overweight/obese mothers, through an extensive review of metabolomics studies, and the potential short and long-term clinical effects in the offspring, especially overweight, glucose homeostasis, insulin resistance, oxidative stress, infections, immune processes, neurodevelopment.

EXPERT OPINION: Metabolomics seems the ideal tool to investigate BM variation depending on maternal or fetal/neonatal factors. In particular, BM metabolome alterations according to maternal conditions were recently pointed out in cases of gestational diabetes, preeclampsia, intrauterine growth restriction and maternal overweight/obesity. In our opinion, even if BM is the food of choice in neonatal nutrition, the deepest comprehension of its composition in overweight/obese mothers could allow targeted supplementation, to improve offspring health and metabolic homeostasis.

Для цитирования: Bardanzellu Flaminia, Puddu Melania, Peroni Diego Giampietro, Fanos Vassilios. The clinical impact of maternal weight on offspring health: lights and shadows in breast milk metabolome.. Expert review of proteomics. 2021. DOI: 10.1080/14789450.2021.1940143.

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