ReviewChildren (Basel, Switzerland)2025
The Role of miRNA Expression in Congenital Heart Disease: Insights into the Mechanisms and Biomarker Potential.
Review in Children (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Maternal Blood as a Window to the Fetal Heart: Novel Biomarkers for Early Detection of Septal Defects.Biomedicines · 2026Review
- A machine learning classifier to identify and prioritise genes associated with murine cardiac development.PLoS genetics · 2026Article
- Molecular cytokine-dependent mechanisms of periodontitis pathogenesis and the potential for pharmacological IL-1 modulation in disease treatment.Frontiers in dental medicine · 2026Review
- Maternal-fetal microRNA axis in congenital heart disease: implications for tetralogy of Fallot.Frontiers in cardiovascular medicine · 2026Review
- From Petri Dish to Primitive Heart: How IVF Alters Early Cardiac Gene Networks and Epigenetic Landscapes.Biomedicines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Congenital heart diseases (CHDs) are among the most common congenital malformations. Despite significant advancements in understanding the embryonic development of the heart, the etiology of CHDs remains largely unknown. The complexity of the processes involved in heart formation limits our ability to identify all molecular mechanisms underlying CHDs. Recently, microRNAs (miRNAs) have provided new insights into the molecular mechanisms of CHDs. This narrative review evaluates the evidence linking expression to CHDs and discusses the potential of RNA expression regulation as a promising avenue for therapeutic biomarker development. A search of the literature, focusing on the role of miRNAs in CHDs, was carried out to identify pertinent studies published over the last decade. The literature search was performed utilizing the PubMed and Scopus databases. The selection criteria included peer-reviewed original studies, clinical research, meta-analyses, and review articles written in English. Multiple investigations have highlighted the essential role of miRNAs in cardiac development and function, showing that their distinct expression patterns can broadly and specifically influence cellular signaling pathways involved in heart abnormalities. The regulation of mRNA expression emerges as a key factor in the pathogenesis of CHD, paving the way for the identification of novel molecular biomarkers. Alterations in transcriptional profiles could offer innovative and highly specific tools for risk stratification and the clinical monitoring of patients. In conclusion, although further studies are needed to validate the efficacy and clinical applicability of these biomarkers, the mRNA-based approach stands out as a promising perspective for precision medicine in the CHD context.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.