Evidence map›Paper›PMID 34944034›Full record

ArticleCells2021

Screening Analysis of Platelet miRNA Profile Revealed miR-142-3p as a Potential Biomarker in Modeling the Risk of Acute Coronary Syndrome.

Rafał Szelenberger, Michał Seweryn Karbownik, Michał Kacprzak, Karina Maciak, Michał Bijak, Marzenna Zielińska, Piotr Czarny, Tomasz Śliwiński, Joanna Saluk-Bijak

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 33% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Review
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  10. Review
  11. Review
  12. Upregulation of Serum miRNA-3615 Serves as a Biomarker to Predict Disease Onset and Prognosis in Acute Coronary Syndrome Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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 at 2 institutions in 1 country.

Rafał SzelenbergerDepartment of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, 90-236 Lodz, Poland.ORCID 0000-0002-6646-2203
Michał Seweryn KarbownikDepartment of Pharmacology and Toxicology, Medical University of Lodz, 90-725 Lodz, Poland.ORCID 0000-0002-4416-2736
Michał KacprzakDepartment of Interventional Cardiology, Medical University of Lodz, 91-213 Lodz, Poland.ORCID 0000-0002-6728-5632
Karina MaciakDepartment of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, 90-236 Lodz, Poland.ORCID 0000-0003-3098-1113
Michał BijakBiohazard Prevention Centre, Faculty of Biology and Environmental Protection, University of Lodz, 90-236 Lodz, Poland.ORCID 0000-0002-7838-4097
Marzenna ZielińskaDepartment of Interventional Cardiology, Medical University of Lodz, 91-213 Lodz, Poland.ORCID 0000-0002-0118-8610
Piotr CzarnyDepartment of Medical Biochemistry, Medical University of Lodz, 92-215 Lodz, Poland.ORCID 0000-0002-5146-5225
Tomasz ŚliwińskiLaboratory of Medical Genetics, Faculty of Biology and Environmental Protection, University of Lodz, 90-236 Lodz, Poland.ORCID 0000-0001-8385-7744
Joanna Saluk-BijakDepartment of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, 90-236 Lodz, Poland.ORCID 0000-0002-1197-1713
University of Łódź · PLMedical University of Lodz · PL

Funding

Ministry of Education and Science DI2016 022046
6 · The paper itself

Abstract

Transcriptome analysis constitutes one of the major methods of elucidation of the genetic basis underlying the pathogenesis of various diseases. The post-transcriptional regulation of gene expression is mainly provided by microRNAs. Their remarkable stability in biological fluids and their high sensitivity to disease alteration indicates their potential role as biomarkers. Given the high mortality and morbidity of cardiovascular diseases, novel predictive biomarkers are sorely needed. Our study focuses for the first time on assessing potential biomarkers of acute coronary syndrome (ACS) based on the microRNA profiles of platelets. The study showed the overexpression of eight platelet microRNAs in ACS (miR-142-3p; miR-107; miR-338-3p, miR-223-3p, miR-21-5p, miR-130b-3p, miR-301a-3p, miR-221-3p) associated with platelet reactivity and functionality. Our results show that the combined model based on miR-142-3p and aspartate transaminase reached 82% sensitivity and 88% specificity in the differentiation of the studied groups. Furthermore, the analyzed miRNAs were shown to cluster into two orthogonal groups, regulated by two different biological factors. Bioinformatic analysis demonstrated that one group of microRNAs may be associated with the physiological processes of platelets, whereas the other group may be linked to platelet-vascular environment interactions. This analysis paves the way towards a better understanding of the role of platelet microRNAs in ACS pathophysiology and better modeling of the risk of ACS.

Indexed as

Models, BiologicalAcute Coronary SyndromeBiomarkersBlood PlateletsCase-Control StudiesFactor Analysis, StatisticalFemaleGene Expression RegulationHumansMaleMicroRNAsMiddle AgedProtein BindingProtein Interaction MapsProteomeReproducibility of ResultsBiomarkersMicroRNAsMIRN142 microRNA, humanProteomeRNA, Messengeracute coronary syndromebiomarkerblood plateletsmicroRNAprognostic modeling

Identifiers

PMID34944034
PMCPMC8700136
OpenAlexW4200141879

What OpenQuestion 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 OpenQuestion graph.