Pregnancy complications are a major cause of fetal and maternal morbidity and mortality in humans. The majority of pregnancy complications initiate due to abnormal placental development and function. During the last decade, the role of microRNAs (miRNAs) in regulating placental and fetal development has become evident. Dysregulation of miRNAs in the placenta not only affects placental development and function, but these miRNAs can also be exported to both maternal and fetal compartments and affect maternal physiology and fetal growth and development. Due to their differential expression in the placenta and maternal circulation during pregnancy complications, miRNAs can be used as diagnostic biomarkers. However, the differential expression of a miRNA in the placenta may not always be reflected in maternal circulation, which makes it difficult to find a reliable biomarker for placental dysfunction. In this review, we provide an overview of differentially expressed miRNAs in the placenta and/or maternal circulation during preeclampsia (PE) and intrauterine growth restriction (IUGR), which can potentially serve as biomarkers for prediction or diagnosis of pregnancy complications. Using different bioinformatics tools, we also identified potential target genes of miRNAs associated with PE and IUGR, and the role of miRNA-mRNA networks in the regulation of important signaling pathways and biological processes.

The proper conceptus elongation in ruminants is critical for the successful placentation and establishment of pregnancy. We have previously shown that the trophectoderm-specific knockdown of LIN28A/B in day 9 ovine blastocysts resulted in increased let-7 miRNAs and reduced conceptus elongation at day 16 of gestation. In this current study, by transcriptome analysis of LIN28A knockdown (AKD) or LIN28B knockdown (BKD) trophectoderm (TE), we explored the downstream target genes of the LIN28-let-7 axis and their roles in the placental and fetal development. We identified 449 differentially expressed genes (DEGs) in AKD TE and 1214 DEGs in BKD TE compared to non-targeting control (NTC). Our analysis further revealed that 210 downregulated genes in AKD TE and 562 downregulated genes in BKD TE were the potential targets of let-7 miRNAs. Moreover, 16 downregulated genes in AKD TE and 57 downregulated and 7 upregulated genes in BKD TE were transcription factors. The DEGs in AKD and BKD TE showed enrichment in the biological processes and pathways critical for placental development and function, and fetal development and growth. The results of this study suggest the potential roles of the LIN28-let-7 axis in placental and fetal development beyond its involvement in trophoblast proliferation and conceptus elongation.

Metabolic processes in fetuses can significantly influence piglet weight at birth. Understanding the genetic determinants of systemic metabolism is crucial for uncovering how genetic and molecular pathways impact biological mechanisms, particularly during the fetal phase. We present data on 1112 plasma metabolites using untargeted ultra-high performance liquid chromatography-tandem mass spectrometry methods, of 260 backcross (BC) fetuses from two sires’ breeds at 63 days post-conception. Eight chemical superclasses have been identified, with lipids accounting for the majority of metabolites. Genomic heritability (h²) was estimated for each metabolite, revealing that 50% had h² values below 0.2, with a higher average in the amino acid class compared with the lipid. We annotated 448 significant metabolite quantitative trait loci associated with 10 metabolites, primarily lipids, indicating strong genetic regulation. Additionally, metabolite associations with sex, fetal weight and sire’s breed were explored, revealing significant associations for 354 metabolites. Fetal weight influenced the largest number of metabolites, particularly glycerophospholipids and sphingolipids, emphasizing the genetic and metabolic complexity underlying fetal development. These findings enhance our understanding of the genetic regulation of metabolite levels and their associations with key phenotypic traits in fetuses, providing insights into metabolic pathways, potential biomarkers and serving as a baseline dataset for metabolomics studies of fetuses.