# Placental mRNA and miRNA dynamics associated with lipid metabolism pathways in pregnancies affected by obesity

**Authors:** Ruggero Spadafora, Jiayi Zhang, N. R. Nirmala, Xue Li, Perrie O’Tierney-Ginn

PMC · DOI: 10.3389/fendo.2025.1736033 · Frontiers in Endocrinology · 2026-01-28

## TL;DR

This study explores how placental gene and miRNA activity relates to lipid metabolism in pregnancies affected by obesity, potentially linking these changes to future health risks in offspring.

## Contribution

The study identifies novel placental mRNA and miRNA networks associated with lipid metabolism and inflammation in obese pregnancies.

## Key findings

- The Rho network is positively correlated with maternal leptin and cord blood free fatty acids.
- Epigenetic regulators and lipid metabolism genes like SMUG1 and CDS1 show negative correlations with cord blood free fatty acids.
- Several miRNAs associated with free fatty acids have prior links to obesity in animal and human studies.

## Abstract

Maternal obesity (pregravid body mass index >30 kg/m2), which has reached epidemic levels in the US, increases the incidence of cardiovascular disease and all cause premature death in the offspring. The placenta modulates fetal access to lipids and other nutrients and is considered a key player in fetal growth and maturation. However, the complex interplay between dysregulated metabolism in mothers with obesity and placental pathways mediating impacts on fetal development that predispose offspring to morbidities later in life, is poorly understood.

We used unbiased Whole Genome Correlation Network Analysis (WGCNA) in 39 full-term unlabored placentas from mothers affected by obesity to explore relationships between coding and non-coding placental transcripts with maternal and fetal metabolic variables.

We identified positive correlations between members of the Rho network, a key inflammation regulator, with maternal leptin and cord blood free fatty acids (cbFFA). Furthermore, we identified negative correlations between epigenetic regulators and the lipid metabolism drivers SMUG1 and CDS1, with cbFFA. A set of placental miRNAs showed positive correlations with cbFFA. Using mirTarRnaSeq, an R/Bioconductor package, we predicted interactions between placental coding genes and miRNA, which correlated negatively and positively with cbFFA, respectively. Several FFA-associated miRNAs (miR-23b cluster, -168, -138, -6825, -6845) have been previously associated with obesity in animal models and human cohorts.

Further studies are required to investigate the role that the Rho network plays in placental inflammation and the link between miRNAs and the predisposition towards cardiovascular diseases in the offspring of obese mothers.

## Linked entities

- **Genes:** RHO (rhodopsin) [NCBI Gene 6010], SMUG1 (single-strand-selective monofunctional uracil-DNA glycosylase 1) [NCBI Gene 23583], CDS1 (CDP-diacylglycerol synthase 1) [NCBI Gene 1040]
- **Chemicals:** leptin (PubChem CID 157010069)
- **Diseases:** obesity (MONDO:0011122), cardiovascular disease (MONDO:0004995)

## Full-text entities

- **Genes:** CDS1 (CDP-diacylglycerol synthase 1) [NCBI Gene 1040] {aka CDS 1}, SMUG1 (single-strand-selective monofunctional uracil-DNA glycosylase 1) [NCBI Gene 23583] {aka FDG, HMUDG, UNG3}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, RHO (rhodopsin) [NCBI Gene 6010] {aka CSNBAD1, OPN2, RP4}
- **Diseases:** inflammation (MESH:D007249), premature death (MESH:D003643), cardiovascular disease (MESH:D002318), Maternal obesity (MESH:D000079262), obese (MESH:D009765)
- **Chemicals:** FFA (MESH:D005230), cbFFA (-), lipid (MESH:D008055)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12890621/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12890621/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC12890621/full.md

---
Source: https://tomesphere.com/paper/PMC12890621