Evidence map›Paper›PMID 41917424›Full record

ArticlePediatric research2026

Circulating microRNAs in preterm white matter injury: a systems biology/qPCR-based pilot study.

Lolia Ala Ibanibo, Raúl Montañez-Martínez, Arantxa Ortega Leon, Manuel Lubián-Gutiérrez, Isabel Benavente-Fernández, Simón Lubián-López

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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lolia Ala IbaniboBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital Cádiz, Cádiz, Spain.
Raúl Montañez-MartínezBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital Cádiz, Cádiz, Spain.
Arantxa Ortega LeonDepartment of Computer Science Engineering, Intelligent Modelling of Systems Research Group, Algeciras School of Engineering and Technology (ASET), University of Cádiz, Algeciras, Spain.
Manuel Lubián-GutiérrezBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital Cádiz, Cádiz, Spain.
Isabel Benavente-FernándezBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital Cádiz, Cádiz, Spain. isabel.benavente@uca.es.
Simón Lubián-LópezBiomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital Cádiz, Cádiz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhite matter injury (WMI) is a major cause of neurodevelopmental impairment in preterm infants (PTIs), yet early molecular biomarkers remain elusive. Circulating microRNAs (miRNAs) hold promise, but neonatal biosample limitations challenge the use of high-throughput methods like next-generation sequencing (NGS). We evaluated the feasibility of quantitative PCR (qPCR) as a primary discovery tool for circulating miRNA biomarkers of WMI, supported by systems biology modeling and selective NGS validation.

methodsPlasma-derived miRNAs from PTIs with and without WMI were profiled using qPCR after stringent hemolysis screening. Candidate miRNAs were curated from brain-specific regulatory networks. ROC bootstrapping and gene ontology/pathway enrichment were used to assess diagnostic and functional relevance. Boolean logic modeling simulated miRNA-mediated regulation of oligodendrocyte maturation.

resultsmiR-23a-3p and miR-17-5p were differentially expressed across WMI states and showed moderate discriminative power (AUCs: 0.71 and 0.68), while oligodendrocyte miRNAs (miR-219a-2-3p, miR-338-5p) were consistently low. Boolean simulations confirmed miR-23a and miR-17 modulate myelination via PTEN repression and PI3K/Akt pathway activation. qPCR and model predictions aligned strongly; NGS showed discordant trends likely due to detection biases.

conclusionThis pilot study demonstrates that qPCR, when combined with systems modeling, proposes a viable and sensitive discovery tool for miRNA biomarkers in clinically constrained populations. IMPACT: This study demonstrates that qPCR combined with systems biology modeling, is a viable and biologically coherent approach for identifying circulating miRNA biomarkers of white matter injury in preterm infants. It challenges the conventional reliance on next-generation sequencing as the default discovery platform, and repositions qPCR as a powerful primary discovery method for diagnostic miRNA biomarkers when coupled with systems biology modeling, showing that qPCR can yield translational insights in ethically and clinically constrained neonatal populations. By integrating Boolean logic simulations, the study links key miRNAs (miR-23a-3p and miR-17-5p) to mechanistic pathways of oligodendrocyte maturation, offering a functional layer to biomarker discovery.

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