Evidence mapPaperPMID 39457478Full record

ArticleBiomedicines2024

Identification of Specific Plasma miRNAs as Potential Biomarkers for Major Depressive Disorder.

Cătălin Prodan-Bărbulescu, Cristian Daniel Alin, Ionuţ Flaviu Faur, Georgeta Cristiana Bujor, Edward Paul Şeclăman, Virgil Enătescu, Alexandra-Ioana Dănilă, Ecaterina Dăescu, Rami Hajjar, Laura Andreea Ghenciu and 4 more

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In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

14 authors.

Cătălin Prodan-BărbulescuFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.ORCID 0000-0003-4348-5469
Cristian Daniel AlinDepartment of General Surgery, "Colţea" Clinical Hospital, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Ionuţ Flaviu FaurFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Georgeta Cristiana BujorFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Edward Paul ŞeclămanFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Virgil EnătescuFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.ORCID 0000-0003-0136-1142
Alexandra-Ioana DănilăFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.ORCID 0009-0000-9118-9133
Ecaterina DăescuFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Rami HajjarFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Laura Andreea GhenciuFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.ORCID 0000-0002-5326-5438
Paul TuţacFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Paul PaşcaFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Anca Maria CimpeanFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.ORCID 0000-0002-9530-022X
Ciprian DutaFaculty of Medicine, "Victor Babeş" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backroundDepression is a significant concern in clinical and preclinical psychoneurobiological sciences due to its high prevalence and its individual and collective consequences. Identifying efficient biomarkers for accurate diagnosis is crucial, with ideal biomarkers having detectable serum levels and conformational and thermal stability. This study aims to identify stable plasma biomarkers for the diagnosis and prognosis of major depressive disorder, as the pathogenesis of the disorder remains incompletely understood, affecting diagnosis accuracy.

methodsThus, this study included ten MDD patients and eight healthy controls. The present work analyzed miRNAs in patients with major depressive disorder compared to healthy controls.

resultsEleven specific miRNAs, particularly hsa-miR-874-3p; hsa-let-7d-5p; and hsa-miR-93-3p showed upregulation-type plasma variations in the group of patients with major depressive disorder. miRNA functionality is linked to depressive pathophysiology.

conclusionsThis study identifies a "bouquet" of miRNAs with significant upregulation variations in patients with major depressive disorder, suggesting further research to determine their suitability for personalization and evaluation, ultimately becoming integral components of major depression serological evaluations.

Indexed as

hsa-let-7d-5phsa-miR-874-3phsa-miR-93-3pmajor depressive disordermajor depressive disorder biomarkersmiRNAs

Identifiers

PMID39457478
PMCPMC11505153

What Socratic holds

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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 Socratic graph.