Evidence map›Paper›PMID 25725476›Full record

ArticleJournal of cardiac failure2015

Right ventricular myocardial biomarkers in human heart failure.

Thomas G di Salvo, Kai-Chien Yang, Evan Brittain, Tarek Absi, Simon Maltais, Anna Hemnes

Abstract read
In one paragraph

Article in Journal of cardiac failure, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 16% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Exploration of Potential Genetic Biomarkers for Heart Failure: A Systematic Review.International journal of environmental research and public health · 2021
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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

6 authors at 2 institutions in 2 countries.

Thomas G di SalvoDivision of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute, Nashville, Tennessee. Electronic address: thomas.g.disalvo@vanderbilt.edu.
Kai-Chien YangDepartment of Pharmacology, National Taiwan University, Taipei, Taiwan.
Evan BrittainDivision of Cardiovascular Medicine, Vanderbilt Heart and Vascular Institute, Nashville, Tennessee.
Tarek AbsiDivision of Cardiovascular Surgery, Vanderbilt Heart and Vascular Institute, Nashville, Tennessee.
Simon MaltaisDivision of Cardiovascular Surgery, Vanderbilt Heart and Vascular Institute, Nashville, Tennessee.
Anna HemnesPulmonary and Critical Care Medicine, Vanderbilt Department of Medicine, Nashville, Tennessee.
Vanderbilt Health · USNational Taiwan University · TW

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Lipid Deposition in the Right Ventricle in Pulmonary Arterial HypertensionR01HL122417 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEMNES, ANNA R · 2015 to 2019
$2.7M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1TR000445NHLBI NIH HHS R01 HL122417
6 · The paper itself

Abstract

backgroundRight ventricular (RV) dysfunction contributes to mortality in chronic heart failure (HF). However, the molecular mechanisms of RV failure remain poorly understood, and RV myocardial biomarkers have yet to be developed. METHODS AND

resultsWe performed RNA sequencing (RNA-seq) on 22 explanted human HF RVs and 5 unused donor human heart RVs (DON RV) and compared results to those recently reported from 16 explanted human LVs We used Bowtie-Tophat for transcript alignment and transcriptome assembly, DESeq for identification of differentially expressed genes (DEGs) and Ingenuity for exploration of gene ontologies. In the HF RV, RNA-seq identified 130,790 total RNA transcripts including 13,272 protein coding genes, 10,831 long non-coding RNA genes and 8,605 pseudogenes. There were 800-1000 DEGs between DON and HF RV comparison groups with differences concentrated in cytoskeletal, basement membrane, extracellular matrix (ECM), inflammatory mediator, hemostasis, membrane transport and transcription factor genes, lncRNAs and pseudogenes. In an unbiased approach, the top 10 DEGs SERPINA3, SERPINA5, LCN6, LCN10, STEAP4, AKR1C1, STAC2, SPARCL1, VSIG4 and F8 exhibited no overlap in read counts between DON and HF RVs, high sensitivities, specificities, predictive values and areas under the receiver operating characteristic curves. STEAP4, SPARCL1 and VSIG4 were differentially expressed between RVs and LVs, supporting their roles as RV-specific myocardial biomarkers.

conclusionsUnbiased, comprehensive profiling of the RV transcriptome by RNA-seq suggests structural changes and abnormalities in inflammatory processes and yields specific, novel HF RV vs HF LV myocardial biomarkers not previously identified by more limited transcriptome profiling approaches.

Indexed as

AdultBiomarkersFemaleGene Expression ProfilingGenetic MarkersHeart FailureHumansMaleMiddle AgedRNATissue DonorsVentricular Dysfunction, RightBiomarkersGenetic MarkersRNAbiomarkersHuman heart failuremyocardialright ventricleRNA-seqtranscriptome

Identifiers

PMID25725476
PMCPMC6482959
OpenAlexW2045858112

What OpenQuestion holds

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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.