Evidence map›Paper›PMID 39180332›Full record

ArticleCardiovascular research2024

The diabetic myocardial transcriptome reveals Erbb3 and Hspa2 as a novel biomarkers of incident heart failure.

Marcella S Conning-Rowland, Marilena Giannoudi, Michael Drozd, Oliver I Brown, Nadira Y Yuldasheva, Chew W Cheng, Paul J Meakin, Sam Straw, John Gierula, Ramzi A Ajjan and 5 more

Abstract read
In one paragraph

Article in Cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Marcella S Conning-RowlandLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Marilena GiannoudiLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Michael DrozdLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.ORCID 0000-0003-0255-4624
Oliver I BrownLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Nadira Y YuldashevaLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Chew W ChengLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Paul J MeakinLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Sam StrawLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.ORCID 0000-0002-2942-4574
John GierulaLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.ORCID 0000-0001-9588-191X
Ramzi A AjjanLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.ORCID 0000-0002-1636-3725
Mark T KearneyLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Eylem LeveltLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Lee D RobertsLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Kathryn J GriffinLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.
Richard M CubbonLIGHT Laboratories, Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, UK.ORCID 0000-0001-7844-3600

Funding

British Heart Foundation FS/4yPhD/F/21/34153British Heart Foundation FS/CRTF/20/24071Wellcome Trust
6 · The paper itself

Abstract

aimsDiabetes mellitus (DM) increases heart failure incidence and worsens prognosis, but its molecular basis is poorly defined in humans. We aimed to define the diabetic myocardial transcriptome and validate hits in their circulating protein form to define disease mechanisms and biomarkers. METHODS AND

resultsRNA-sequencing data from the Genotype-Tissue Expression (GTEx) project was used to define differentially expressed genes (DEGs) in right atrial (RA) and left ventricular (LV) myocardium from people with vs. without DM (type 1 or 2). DEGs were validated as plasma proteins in the UK Biobank cohort, searching for directionally concordant differential expression. Validated plasma proteins were characterized in UK Biobank participants, irrespective of diabetes status, using cardiac magnetic resonance imaging, incident heart failure, and cardiovascular mortality. We found 32 and 32 DEGs associated with DM in the RA and LV, respectively, with no overlap between these. Plasma proteomic data were available for 12, with ERBB3, NRXN3, and HSPA2 (all LV hits) exhibiting directional concordance. Irrespective of DM status, lower circulating ERBB3 and higher HSPA2 were associated with impaired LV contractility and higher LV mass. Participants in the lowest quartile of circulating ERBB3 or highest quartile of circulating HSPA2 had increased incident heart failure and cardiovascular death vs. all other quartiles.

conclusionDM is characterized by lower Erbb3 and higher Hspa2 expression in the myocardium, with directionally concordant differences in their plasma protein concentration. These are associated with LV dysfunction, incident heart failure, and cardiovascular mortality.

Indexed as

BiomarkersHeart FailureHSP70 Heat-Shock ProteinsProteomicsReceptor, ErbB-3TranscriptomeVentricular Function, LeftAgedCase-Control StudiesDiabetic CardiomyopathiesFemaleHumansIncidenceMaleMiddle AgedMyocardiumBiomarkersERBB3 protein, humanHSP70 Heat-Shock ProteinsHSPA2 protein, humanReceptor, ErbB-3DiabetesErbb3Heart failureHspa2MyocardiumRNA-seq

Identifiers

PMID39180332
PMCPMC11629987

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.