Issue 20, 2023

Effects of maternal high-fat diet on fetal growth, placental nutrient transporters and circular RNA expression profiles

Abstract

Epidemiological and experimental studies suggest that there is a strong correlation between maternal high-fat diet and fetal–placental development. The current study aims to investigate the effects of maternal high-fat diet on fetal growth, placental nutrient transporters and circular RNA expression profiles in a mouse model. Forty C57BL/6 female mice were randomly assigned to two groups, fed either a control (10% fat for energy) diet (CON) or a high-fat (60% fat for energy) diet (HFD) for 4 weeks before mating and throughout pregnancy, and were killed on day 19.5 of pregnancy. The serum glucose, total cholesterol and low-density lipoprotein, the glucolipid metabolism-related hormones, and the insulin resistance index were significantly increased. High-throughput sequencing showed that differentially expressed circRNAs (DE circRNAs) in the placenta can regulate various biological processes, cellular components, and molecular functions through various energy metabolism pathways, and mmu-let-7g-5p was found to target and bind to multiple DE circRNAs. In addition, this study also predicted that various circRNAs with protein coding functions can regulate maternal placental nutrient transport. In general, the ceRNA (circRNAs–miRNAs–mRNAs) regulatory network of maternal placental nutrient transport constructed in this study is of great significance for further understanding the effect of maternal nutrition on fetal growth in the future.

Graphical abstract: Effects of maternal high-fat diet on fetal growth, placental nutrient transporters and circular RNA expression profiles

Supplementary files

Article information

Article type
Paper
Submitted
02 Jun 2023
Accepted
22 Aug 2023
First published
04 Oct 2023

Food Funct., 2023,14, 9391-9406

Effects of maternal high-fat diet on fetal growth, placental nutrient transporters and circular RNA expression profiles

T. He, Q. Chen, Z. Yuan, Y. Yang, K. Cao, J. Luo, G. Dong, X. Peng and Z. Yang, Food Funct., 2023, 14, 9391 DOI: 10.1039/D3FO02202A

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