Evidence map›Paper›PMID 27884156›Full record

ArticleJournal of translational medicine2016

Targeted myocardial gene expression in failing hearts by RNA sequencing.

Kajari Dhar, Alexandra M Moulton, Eric Rome, Fang Qiu, Jeff Kittrell, Eugenia Raichlin, Ronald Zolty, John Y Um, Michael J Moulton, Hesham Basma and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  9. Comprehensive Analysis of Cardiac Xeno-Graft Unveils Rejection Mechanisms.International journal of molecular sciences · 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

13 authors at 1 institution in 1 country.

Kajari DharDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
Alexandra M MoultonDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
Eric RomeDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
Fang QiuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, USA.
Jeff KittrellDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, USA.
Eugenia RaichlinDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
Ronald ZoltyDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
John Y UmDepartment of Cardiothoracic Surgery, University of Nebraska Medical Center, Omaha, USA.
Michael J MoultonDepartment of Cardiothoracic Surgery, University of Nebraska Medical Center, Omaha, USA.
Hesham BasmaDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
Daniel R AndersonDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA.
James D EudyDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, USA.
Brian D LowesDepartment of Internal Medicine, University of Nebraska Medical Center, 982265 Nebraska Medical Center, Omaha, NE, 68198-2265, USA. brian.lowes@unmc.edu.
University of Nebraska Medical Center · US

Funding

Using Molecular Pathology to Predict Response in Heart FailureP20HL101435 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BUTTRICK, PETER N., LOWES, BRIAN D · 2010 to 2011
$1.5M
NHLBI NIH HHS P20 HL101435
6 · The paper itself

Abstract

backgroundMyocardial recovery with left ventricular assist device (LVAD) therapy is highly variable and difficult to predict. Next generation ribonucleic acid (RNA) sequencing is an innovative, rapid, and quantitative approach to gene expression profiling in small amounts of tissue. Our primary goal was to identify baseline transcriptional profiles in non-ischemic cardiomyopathies that predict myocardial recovery in response to LVAD therapy. We also sought to verify transcriptional differences between failing and non-failing human hearts.

methodsRNA was isolated from failing (n = 16) and non-failing (n = 8) human hearts. RNA from each patient was reverse transcribed and quantitatively sequenced on the personal genome machine (PGM) sequencer (Ion torrent) for 95 heart failure candidate genes. Coverage analysis as well as mapping the reads and alignment was done using the Ion Torrent Browser Suite™. Differential expression analyses were conducted by empirical analysis of digital gene expression data in R (edgeR) to identify differential expressed genes between failing and non-failing groups, and between responder and non-responder groups respectively. Targeted cardiac gene messenger RNA (mRNA) expression was analyzed in proportion to the total number of reads. Gene expression profiles from the PGM sequencer were validated by performing RNA sequencing (RNAseq) with the Illumina Hiseq2500 sequencing system.

resultsThe failing sample population was 75% male with an average age of 50 and a left ventricular ejection fraction (LVEF) of 16%. Myosin light chain kinase (MYLK) and interleukin (IL)-6 genes expression were significantly higher in LVAD responders compared to non-responders. Thirty-six cardiac genes were expressed differentially between failing and non-failing hearts (23 decreased, 13 elevated). MYLK, Beta-1 adrenergic receptor (ADRB1) and myosin heavy chain (MYH)-6 expression were among those significantly decreased in failing hearts compared to non-failing hearts. Natriuretic peptide B (NPPB) and IL-6 were significantly elevated. Targeted gene expression profiles obtained from the Ion torrent PGM sequencer were consistent with those obtained from Illumina HiSeq2500 sequencing system.

conclusionsHeart failure is associated with a network of transcriptional changes involving contractile proteins, metabolism, adrenergic receptors, protein phosphorylation, and signaling factors. Myocardial MYLK and IL-6 expression are positively correlated with ejection fraction (EF) response to LVAD placement. Targeted RNA sequencing of myocardial gene expression can be utilized to predict responders to LVAD therapy and to better characterize transcriptional changes in human heart failure.

Indexed as

Gene Expression ProfilingDown-RegulationFemaleHeart-Assist DevicesHeart FailureHumansMaleMiddle AgedMyocardiumReproducibility of ResultsSequence Analysis, RNASignal TransductionTreatment OutcomeUp-Regulation

Identifiers

PMID27884156
PMCPMC5123412
OpenAlexW2549933638

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.