First-trimester predictive models for adverse pregnancy outcomes-a base for implementation of strategies to prevent cardiovascular disease development.

cardiovascular risk first-trimester screening miRNA predictive models preventive program risk factors

Journal

Frontiers in cell and developmental biology
ISSN: 2296-634X
Titre abrégé: Front Cell Dev Biol
Pays: Switzerland
ID NLM: 101630250

Informations de publication

Date de publication:
2024
Historique:
received: 08 07 2024
accepted: 26 08 2024
medline: 19 9 2024
pubmed: 19 9 2024
entrez: 19 9 2024
Statut: epublish

Résumé

This study aimed to establish efficient, cost-effective, and early predictive models for adverse pregnancy outcomes based on the combinations of a minimum number of miRNA biomarkers, whose altered expression was observed in specific pregnancy-related complications and selected maternal clinical characteristics. This retrospective study included singleton pregnancies with gestational hypertension (GH, n = 83), preeclampsia (PE, n = 66), HELLP syndrome (n = 14), fetal growth restriction (FGR, n = 82), small for gestational age (SGA, n = 37), gestational diabetes mellitus (GDM, n = 121), preterm birth in the absence of other complications (n = 106), late miscarriage (n = 34), stillbirth (n = 24), and 80 normal term pregnancies. MiRNA gene expression profiling was performed on the whole peripheral venous blood samples collected between 10 and 13 weeks of gestation using real-time reverse transcription polymerase chain reaction Most pregnancies with adverse outcomes were identified using the proposed approach (the combinations of selected miRNAs and appropriate maternal clinical characteristics) (GH, 69.88%; PE, 83.33%; HELLP, 92.86%; FGR, 73.17%; SGA, 81.08%; GDM on therapy, 89.47%; and late miscarriage, 84.85%). In the case of stillbirth, no addition of maternal clinical characteristics to the predictive model was necessary because a high detection rate was achieved by a combination of miRNA biomarkers only [91.67% cases at 10.0% false positive rate (FPR)]. The proposed models based on the combinations of selected cardiovascular disease-associated miRNAs and maternal clinical variables have a high predictive potential for identifying women at increased risk of adverse pregnancy outcomes; this can be incorporated into routine first-trimester screening programs. Preventive programs can be initiated based on these models to lower cardiovascular risk and prevent the development of metabolic/cardiovascular/cerebrovascular diseases because timely implementation of beneficial lifestyle strategies may reverse the dysregulation of miRNAs maintaining and controlling the cardiovascular system.

Identifiants

pubmed: 39296937
doi: 10.3389/fcell.2024.1461547
pii: 1461547
pmc: PMC11409004
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1461547

Informations de copyright

Copyright © 2024 Hromadnikova, Kotlabova and Krofta.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ilona Hromadnikova (I)

Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, Prague, Czechia.

Katerina Kotlabova (K)

Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, Prague, Czechia.

Ladislav Krofta (L)

Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, Prague, Czechia.

Classifications MeSH