Evidence map›Paper›PMID 40943645›Full record

ArticleInternational journal of molecular sciences2025

A Plasma Extracellular Vesicle-Derived microRNA Signature as a Potential Biomarker for Subclinical Coronary Atherosclerosis.

Mario Peña-Peña, Óscar Zepeda-García, Rosalinda Posadas-Sánchez, Fausto Sánchez-Muñoz, Mayra Domínguez-Pérez, Juan Alfonso Martínez-Greene, Fabiola López-Bautista, Adrián Hernández-Díazcouder, Rogelio F Jiménez-Ortega, Alejandra Idan Valencia-Cruz and 6 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

16 authors.

Mario Peña-PeñaSección de Estudios de Posgrado, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-2883-0028
Óscar Zepeda-GarcíaLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0002-7436-6887
Rosalinda Posadas-SánchezDepartmento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0001-8467-3488
Fausto Sánchez-MuñozDepartamento de Fisiología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0001-6556-1632
Mayra Domínguez-PérezLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0002-6049-0430
Juan Alfonso Martínez-GreeneLaboratorio de Comunicación Celular y Vesículas Extracelulares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0003-0934-040X
Fabiola López-BautistaDepartmento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City 14080, Mexico.ORCID 0000-0001-9607-6090
Adrián Hernández-DíazcouderUnidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico.ORCID 0000-0001-6569-2851
Rogelio F Jiménez-OrtegaServicio de Medicina Genómica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico.
Alejandra Idan Valencia-CruzUnidad de Proteómica, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
Adrián Nuñez-SalgadoLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
Isaac Emanuel Mani-ArellanoLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
Karina Martínez-FloresLaboratorio de Líquido Sinovial, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City 14389, Mexico.
Teresa Villarreal-MolinaLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0003-4450-7690
Eduardo Martínez-MartínezLaboratorio de Comunicación Celular y Vesículas Extracelulares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0002-9020-559X
Leonor Jacobo-AlbaveraLaboratorio de Genómica de Enfermedades Cardiovasculares, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.ORCID 0000-0001-5129-8108

Funding

Secretaria de Ciencia, Humanidades, Tecnologia e Innovacion de Mexico (SECIHTI) CF-2023-I-1226Secretaría de Ciencia, Humanidades, Tecnología e Innovación de México (SECIHTI) 258589Secretaría de Ciencia, Humanidades, Tecnología e Innovación de México (SECIHTI) A1-S-35485
6 · The paper itself

Abstract

Subclinical coronary atherosclerosis (SCA) is an early stage of coronary artery disease (CAD) that often goes unrecognized until clinical events occur. Identifying circulating molecular biomarkers could improve early diagnosis and risk assessment in asymptomatic individuals. This study employed a two-phase approach to identify plasma extracellular vesicle (EV)-derived microRNAs (miRNAs) associated with SCA. In the discovery phase, plasma samples from male participants were analyzed using Affymetrix GeneChip miRNA 4.0 microarrays. Differentially expressed miRNAs were refined through bioinformatic analysis, cross-species comparison with murine data, and target gene prediction. In the validation phase, six candidate miRNAs were quantified by RT-qPCR in an independent cohort. Six miRNAs were differentially expressed between individuals with SCA and controls. Among these, the combination of miR-146b-5p, miR-4701-3p, and miR-1180-3p demonstrated a high discriminative capacity for SCA (AUC = 0.8281; sensitivity = 93.75%; specificity = 93.75%). Functional enrichment analysis revealed that predicted target genes are involved in key atherosclerosis-related pathways, including inflammation, lipid metabolism, and vascular remodeling. EV-derived miRNAs may serve as non-invasive biomarkers for the early detection of coronary atherosclerosis. These findings provide insight into the molecular processes underlying subclinical vascular disease and support the integration of EV-associated miRNAs into preventive cardiology strategies.

Indexed as

BiomarkersCoronary Artery DiseaseExtracellular VesiclesMicroRNAsAgedComputational BiologyGene Expression ProfilingHumansMaleMiddle AgedBiomarkersMicroRNAsbioinformaticsbiomarker discoveryextracellular vesiclesmicroRNAssubclinical coronary atherosclerosis

Identifiers

PMID40943645
PMCPMC12428963

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.