Evidence map›Paper›PMID 32780418›Full record

ArticleEuropean journal of clinical investigation2021

Secondary mitral regurgitation-Insights from microRNA assessment.

Georg Spinka, Philipp E Bartko, Noemi Pavo, Claudia Freitag, Katrin Zlabinger, Suriya Prausmüller, Henrike Arfsten, Gregor Heitzinger, Julia Mascherbauer, Christian Hengstenberg and 3 more

Abstract read
In one paragraph

Article in European journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Recent advances in omics-based research of mitral valve disease.Frontiers in cardiovascular medicine · 2026
    Review
  3. Upregulation of Serum miR-132 and miR-152 in Vietnamese Patients with Heart Failure.The Malaysian journal of medical sciences : MJMS · 2024
    Article
  4. Article
  5. Secondary mitral regurgitation-Insights from microRNA assessment.European journal of clinical investigation · 2021
    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

13 authors.

Georg SpinkaDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Philipp E BartkoDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Noemi PavoDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-3377-4507
Claudia FreitagDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Katrin ZlabingerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Suriya PrausmüllerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Henrike ArfstenDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Gregor HeitzingerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Julia MascherbauerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Christian HengstenbergDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Mariann GyöngyösiDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Martin HülsmannDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-7944-7363
Georg GoliaschDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-6219-6104

Funding

Austrian Science Fund KLI-818B
6 · The paper itself

Abstract

backgroundWhile secondary mitral regurgitation (sMR) is associated with adverse outcome in heart failure with reduced ejection fraction (HFrEF), key pathophysiologic mechanisms remain poorly understood and might be elucidated by microRNAs (miRNA/miR), that were recently related to cardiac remodelling. This study sought to assess (i) the differences of miRNA profiles in patients with severe sMR compared to matched disease controls, (ii) the correlation between circulating miRNAs and surrogates of sMR severity as well as (iii) the prognostic implications of miRNA levels in severe sMR. MATERIALS AND

methodsSixty-six HFrEF patients were included, of these 44 patients with severe sMR 2:1 matched to HFrEF controls with no/mild sMR. A comprehensive set of miRNAs (miR-21, miR-29a, miR-122, miR-132, miR-133a, miR-let7i) were measured and correlated to echocardiographic sMR severity.

resultsmiRNA patterns differed distinctly between patients with severe sMR and HFrEF controls (P < .05). Among the panel of assessed miRNAs, miR-133a correlated most strongly with surrogates of sMR severity (r = -0.41, P = .001 with sMR vena contracta width). Interestingly, elevated levels of miR-133 were associated with an increased risk for cardiovascular death and/or HF hospitalizations with and adjusted HR of 1.85 (95% CI 1.24-2.76, P = .003).

conclusionsThis study unveils distinct pathophysiologic maladaptions at a cellular level in patients with severe sMR compared to no/mild sMR by showing significant differences in miRNA profiles and correlations with sMR severity, supporting the concept that sMR drives cardiac remodelling in heart failure. Moreover, the increased risk for adverse outcome in HFrEF patients with severe sMR conveyed by miR-133a might indicate irreversible myocardial damage.

Indexed as

AgedCase-Control StudiesEchocardiographyFemaleHeart FailureHumansMaleMicroRNAsMiddle AgedMitral Valve InsufficiencyStroke VolumeMicroRNAsMIRN132 microRNA, humanMIRN133 microRNA, humanMIRN21 microRNA, humanMIRN29a microRNA, humanmirnlet7 microRNA, humanfibrosisheart failure with reduced ejection fractionhypertrophymicroRNAmiR-133asecondary mitral regurgitation

Identifiers

PMID32780418
PMCPMC7900984

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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.