Evidence map›Paper›PMID 40011539›Full record

ArticleScientific reports2025

miR-16-5p, miR-21-5p, and miR-155-5p in circulating vesicles as psoriasis biomarkers.

Carlos A Guzmán-Martín, Rogelio F Jiménez-Ortega, María Fernanda Ortega-Springall, Mario Peña-Peña, Ana Elena Guerrero-Ponce, María Elisa Vega-Memije, Luis M Amezcua-Guerra, Fausto Sánchez-Muñoz, Rashidi Springall

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Exosomes in Psoriasis: From Pathogenic Mechanisms to Therapeutic Innovations.Clinical, cosmetic and investigational dermatology · 2026
    Review
  5. Review
  6. Article
  7. Review
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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

9 authors.

Carlos A Guzmán-MartínDoctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico city, Mexico.
Rogelio F Jiménez-OrtegaLaboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
María Fernanda Ortega-SpringallDepartamento de Dermatología, Hospital General Dr. Manuel Gea González, Mexico City, Mexico.
Mario Peña-PeñaDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
Ana Elena Guerrero-PonceHospital General de México Dr. Eduardo Liceaga, Mexico City, Mexico.
María Elisa Vega-MemijeDepartamento de Dermatología, Hospital General Dr. Manuel Gea González, Mexico City, Mexico.
Luis M Amezcua-GuerraDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
Fausto Sánchez-MuñozDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico. fausto22@yahoo.com.
Rashidi SpringallDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico. raspringall@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis is a chronic skin disorder marked by fast skin cell growth, leading to thick, red, scaly patches. MicroRNAs are small, non-coding RNA molecules that play a crucial role in post-transcriptional gene regulation. This study investigates miR-16-5p, miR-21-5p, and miR-155-5p expression in psoriasis EVs and assesses their biomarker potential, exploring associated target genes and pathways via bioinformatics. A cross-sectional and case-control study included 40 psoriasis patients, with blood samples collected in EDTA tubes. RNA from extracellular vesicles was isolated using Qiagen kits, and miRNAs were quantified via RT-qPCR. Bioinformatic analysis predicted target genes using databases like miRDB and TargetScan. Gene expression data from GEO was processed, and differentially expressed genes were identified. This study assessed miR-16-5p, miR-21-5p, and miR-155-5p expression in psoriasis patients' circulating vesicles versus controls, finding significantly lower levels in patients. ROC analysis confirmed their diagnostic potential. A positive correlation of miR-16-5p with the Psoriasis Area Severity Index (PASI) suggests severity marker potential. Bioinformatics identified 378 common dysregulated genes, revealing key pathways and gene interactions in psoriasis. A heat map confirmed miRNA-mediated gene suppression in the disease. This study identifies miR-16-5p, miR-21-5p, and miR-155-5p as potential psoriasis biomarkers, in addition to finding significant gene interactions and pathways involved in psoriasis pathophysiology.

Indexed as

Extracellular VesiclesMicroRNAsPsoriasisAdultBiomarkersCase-Control StudiesComputational BiologyCross-Sectional StudiesFemaleGene Expression RegulationHumansMaleMiddle AgedBiomarkersMicroRNAsMIRN155 microRNA, humanMIRN16 microRNA, humanMIRN21 microRNA, humanBioinformaticsBiomarkersExtracellular vesiclesMicroarraysMicroRNAsPASIPsoriasisPsoriasis area severity index

Identifiers

PMID40011539
PMCPMC11865590

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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.