Evidence map›Paper›PMID 33322648›Full record

ArticleBiomedicines2020

Differential Role of Circulating microRNAs to Track Progression and Pre-Symptomatic Stage of Chronic Heart Failure: A Pilot Study.

Yuri D'Alessandra, Mattia Chiesa, Maria Cristina Carena, Antonio Paolo Beltrami, Paola Rizzo, Marta Buzzetti, Veronica Ricci, Roberto Ferrari, Alessandro Fucili, Ugolino Livi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Biomarkers of Cardiovascular Stress: A Historical Review.Journal of cardiovascular development and disease · 2026
    Review
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  6. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
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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

13 authors at 5 institutions in 1 country.

Yuri D'AlessandraImmunology and Functional Genomics Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.ORCID 0000-0002-3440-2353
Mattia ChiesaImmunology and Functional Genomics Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.ORCID 0000-0001-7427-9954
Maria Cristina CarenaVascular Biology and Regenerative Medicine Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.
Antonio Paolo BeltramiDepartment of Medicine (DAME), University of Udine, 33100 Udine, Italy.ORCID 0000-0002-0679-2710
Paola RizzoMaria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy.ORCID 0000-0001-7174-9674
Marta BuzzettiImmunology and Functional Genomics Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.ORCID 0000-0003-3415-0982
Veronica RicciImmunology and Functional Genomics Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.
Roberto FerrariMaria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy.
Alessandro FuciliCentro Cardiologico Universitario di Ferrara, University of Ferrara, 44124 Ferrara, Italy.ORCID 0000-0002-1843-2923
Ugolino LiviDepartment of Medicine (DAME), University of Udine, 33100 Udine, Italy.
Aneta AleksovaCardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste, 34148 Trieste, Italy.ORCID 0000-0001-7711-9905
Giulio PompilioVascular Biology and Regenerative Medicine Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.
Gualtiero I ColomboImmunology and Functional Genomics Unit, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.ORCID 0000-0002-7348-1939
Centro Cardiologico Monzino · ITUniversity of Ferrara · ITUniversity of Udine · ITUniversity of Milan · ITUniversity of Trieste · IT

Funding

Ministero della Salute 5‰ 2015Ministero della Salute RC-2010-BIO 64-ID-1489855
6 · The paper itself

Abstract

(1)Background: Chronic heart failure (CHF) contributes to the overall burden of cardiovascular disease. Early identification of at-risk individuals may facilitate the targeting of precision therapies. Plasma microRNAs are promising circulating biomarkers for their implications with cardiac pathologies. In this pilot study, we investigate the possible exploitability of circulating micro-RNAs (miRNAs) to track chronic heart failure (CHF) occurrence, and progression from NYHA class I to IV. (2)Methods: We screened 367 microRNAs using TaqMan microRNA Arrays in plasma samples from healthy controls (HC) and CHF NYHA-class I-to-IV patients (5/group). Validation was performed by singleplex assays on 10 HC and 61 CHF subjects. Differences in the expression of validated microRNAs were evaluated through analysis of covariance (ANCOVA). Associations between N-terminal pro-BNP (NT-proBNP), left ventricular end-diastolic volume (LVEDV) or peak oxygen uptake (VO2 peak) and plasma microRNA were assessed by multivariable linear regression analysis. (3)Results: Twelve microRNAs showed higher expression in CHF patients vs. HC. Seven microRNAs were associated with NT-proBNP concentration; of these, miR-423-5p was also an independent predictor of LVEDV. Moreover, miR-499-5p was a predictor of the VO2 peak. Finally, a cluster of 5 miRNAs discriminated New York Heart Association (NYHA) class-I from HC subjects. (4)Conclusions: Our data suggest that circulating miRNAs have the potential to serve as pathophysiology-based markers of HF status and progression, and as indicators of pre-symptomatic individuals.

Indexed as

biomarkersheart failuremicroRNA

Identifiers

PMID33322648
PMCPMC7764340
OpenAlexW3112404379

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.