Overexpression of microRNAs miR-25-3p, miR-185-5p and miR-132-3p in Late Onset Fetal Growth Restriction, Validation of Results and Study of the Biochemical Pathways Involved.
Gabriela LoscalzoJulia ScheelJosé Santiago Ibañez-CabellosEva García-LopezShailendra GuptaJosé Luis García-GiménezSalvador Mena-MolláAlfredo Perales MarínJosé Morales-RosellóPublished in: International journal of molecular sciences (2021)
In a prospective study, 48 fetuses were evaluated with Doppler ultrasound after 34 weeks and classified, according to the cerebroplacental ratio (CPR) and estimated fetal weight (EFW), into fetuses with normal growth and fetuses with late-onset fetal growth restriction (LO-FGR). Overexpression of miRNAs from neonatal cord blood belonging to LO-FGR fetuses, was validated by real-time PCR. In addition, functional characterization of overexpressed miRNAs was performed by analyzing overrepresented pathways, gene ontologies, and prioritization of synergistically working miRNAs. Three miRNAs: miR-25-3p, miR-185-5p and miR-132-3p, were significantly overexpressed in cord blood of LO-FGR fetuses. Pathway and gene ontology analysis revealed over-representation of certain molecular pathways associated with cardiac development and neuron death. In addition, prioritization of synergistically working miRNAs highlighted the importance of miR-185-5p and miR-25-3p in cholesterol efflux and starvation responses associated with LO-FGR phenotypes. Evaluation of miR-25-3p; miR-132-3p and miR-185-5p might serve as molecular biomarkers for the diagnosis and management of LO-FGR; improving the understanding of its influence on adult disease.
Keyphrases
- late onset
- cord blood
- gestational age
- early onset
- preterm birth
- real time pcr
- cell proliferation
- genome wide
- cardiac arrest
- copy number
- magnetic resonance imaging
- transcription factor
- physical activity
- computed tomography
- body mass index
- left ventricular
- gene expression
- genome wide identification
- weight loss
- heart failure
- single cell
- weight gain
- data analysis