Evidence map›Paper›PMID 39129166›Full record

ArticleCurrent neuropharmacology2025

MiRNA Dysregulation in Brain Injury: An

Francesco Sessa, Cristoforo Pomara, Flavia Schembari, Massimiliano Esposito, Emanuele Capasso, Mauro Pesaresi, Eduardo Osuna, Efehan Ulas, Christian Zammit, Monica Salerno

Abstract read
In one paragraph

Article in Current neuropharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Francesco SessaDepartment of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.
Cristoforo PomaraDepartment of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.
Flavia SchembariDepartment of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.
Massimiliano EspositoFaculty of Medicine and Surgery, "Kore" University of Enna, 94100 Enna, Italy.
Emanuele CapassoDepartment of Advanced Biomedical Science-Legal Medicine Section, University of Naples "Federico II", 80131 Naples, Italy.
Mauro PesaresiSection of Legal Medicine, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Via Tronto, Ancona, 60126, Italy.
Eduardo OsunaDepartment of Forensic Medicine. University of Murcia. 30120 Murcia, Spain.
Efehan UlasFaculty of Medicine, Department of Biostatistics and Medical Informatics, Kirklareli University, Kirklareli, Turkey.
Christian ZammitDepartment of Anatomy, Faculty of Medicine and Surgery, University of Malta, Msida 2080, Malta.
Monica SalernoDepartment of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of specific circulating miRNAs has been proposed as a valuable tool for elucidating the pathophysiology of brain damage or injury and predicting patient outcomes.

objectiveThis study aims to apply several bioinformatic tools in order to clarify miRNA interactions with potential genes involved in brain injury, emphasizing the need of using a computational approach to determine the most likely correlations between miRNAs and target genes. Specifically, this study centers on elucidating the roles of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a.

methodsAfter a careful evaluation of different software available (analyzing the strengths and limitations), we applied three tools, one to perform an analysis of the validated targets (miRTarBase), and two to evaluate functional annotations (miRBase and TAM 2.0).

resultsResearch findings indicate elevated levels of miR-135a and miR-34b in patients with traumatic brain injury (TBI) within the first day post-injury, while miR-200c and miR-34c were found to be upregulated after 7 days. Moreover, miR-451a and miR-135a were found overexpressed in the serum, while miRNAs 34b, 34c, and 200c, had lower serum levels at baseline post brain injury.

conclusionThis study emphasizes the use of computational methods in determining the most likely relationships between miRNAs and target genes by investigating several bioinformatic techniques to elucidate miRNA interactions with potential genes. Specifically, this study focuses on the functions of miR-34b, miR-34c, miR-135a, miR-200c, and miR-451a, providing an up-to-date overview and suggesting future research directions for identifying theranomiRNAs related to brain injury, both at the tissue and serum levels.

Indexed as

Brain InjuriesBrain Injuries, TraumaticMicroRNAsComputational BiologyComputer SimulationHumansMicroRNAsbiomarkersBrain injurydiagnosismiRNAprognosistheranomiRNA.

Identifiers

PMID39129166
PMCPMC11793054

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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.