Evidence map›Paper›PMID 38666037›Full record

ArticleNature cardiovascular research2023

Assessment of left ventricular tissue mitochondrial bioenergetics in patients with stable coronary artery disease.

Richard E Jones, Anja V Gruszczyk, Christina Schmidt, Daniel J Hammersley, Lukas Mach, Michael Lee, Joyce Wong, Ming Yang, Suzan Hatipoglu, Amrit S Lota and 22 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature cardiovascular research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Visually assessed ischemia on cardiac magnetic resonance, but not quantitative perfusion metrics, predicts symptomatic improvement in coronary artery bypass.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  2. AN APPROACH FOR 3D MICROPRINTING OF SOFT ROBOTIC BIOPSY TOOLS AT 1 FRENCH LENGTH SCALES VIATechnical digest. Solid-State Sensor, Actuator, and Microsystems Workshop · 2024
    Article
  3. 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

32 authors at 9 institutions in 5 countries.

Richard E JonesNational Heart and Lung Institute, Imperial College London, London, UK.
Anja V Gruszczyk *MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK.
Christina Schmidt *MRC Cancer Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3867-0881
Daniel J HammersleyNational Heart and Lung Institute, Imperial College London, London, UK.
Lukas MachNational Heart and Lung Institute, Imperial College London, London, UK.
Michael LeeNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0002-0186-4439
Joyce WongRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Ming YangMRC Cancer Unit, University of Cambridge, Cambridge, UK.
Suzan HatipogluRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Amrit S LotaNational Heart and Lung Institute, Imperial College London, London, UK.
Sam N BarnettNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0002-8968-4319
Rebecca Toscano-RivaltaNational Heart and Lung Institute, Imperial College London, London, UK.
Ruth OwenDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Shahzad RajaRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Fabio De RobertisRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Hassiba SmailRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Anthony De-SouzaRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Ulrich StockRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD USA.
Julian GriffinThe Rowett Institute, University of Aberdeen, Aberdeen, UK.
Marc-Emmanuel DumasNational Heart and Lung Institute, Imperial College London, London, UK.
Jack L MartinDepartment of Surgery and Cambridge NIHR Biomedical Research Centre, Biomedical Campus, University of Cambridge, Cambridge, UK.
Kourosh Saeb-ParsyDepartment of Surgery and Cambridge NIHR Biomedical Research Centre, Biomedical Campus, University of Cambridge, Cambridge, UK.
Ali VazirNational Heart and Lung Institute, Imperial College London, London, UK.
John G F ClelandRobertson Centre for Biostatistics, University of Glasgow, Glasgow, UK.ORCID 0000-0002-1471-7016
Dudley J PennellNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0001-5523-1314
Sunil K BhudiaRoyal Brompton and Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.ORCID 0000-0002-6660-3141
Brian P HallidayNational Heart and Lung Institute, Imperial College London, London, UK.
Michela NosedaNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0002-9553-5029
Christian FrezzaMRC Cancer Unit, University of Cambridge, Cambridge, UK.
Michael P MurphyMRC Mitochondrial Biology Unit, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1115-9618
Sanjay K PrasadNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0002-5637-0727
Guy's and St Thomas' NHS Foundation Trust · GBUniversity of Cambridge · GBImperial College London · GBCentre National de la Recherche Scientifique · FRLondon School of Hygiene & Tropical Medicine · GBNational Institutes of Health · USUniversity of Aberdeen · GBUniversity of Cologne · DEUniversity of Glasgow · GB

Funding

British Heart Foundation RG/19/1/34160Medical Research Council MC_UU_00015/3Medical Research Council MR/P011705/1Wellcome Trust
6 · The paper itself

Abstract

Recurrent myocardial ischemia can lead to left ventricular (LV) dysfunction in patients with coronary artery disease (CAD). In this observational cohort study, we assessed for chronic metabolomic and transcriptomic adaptations within LV myocardium of patients undergoing coronary artery bypass grafting. During surgery, paired transmural LV biopsies were acquired on the beating heart from regions with and without evidence of inducible ischemia on preoperative stress perfusion cardiovascular magnetic resonance. From 33 patients, 63 biopsies were acquired, compared to analysis of LV samples from 11 donor hearts. The global myocardial adenosine triphosphate (ATP):adenosine diphosphate (ADP) ratio was reduced in patients with CAD as compared to donor LV tissue, with increased expression of oxidative phosphorylation (OXPHOS) genes encoding the electron transport chain complexes across multiple cell types. Paired analyses of biopsies obtained from LV segments with or without inducible ischemia revealed no significant difference in the ATP:ADP ratio, broader metabolic profile or expression of ventricular cardiomyocyte genes implicated in OXPHOS. Differential metabolite analysis suggested dysregulation of several intermediates in patients with reduced LV ejection fraction, including succinate. Overall, our results suggest that viable myocardium in patients with stable CAD has global alterations in bioenergetic and transcriptional profile without large regional differences between areas with or without inducible ischemia.

Indexed as

Acute coronary syndromesCardiovascular biologyEnergy metabolismTranslational research

Identifiers

PMID38666037
PMCPMC11041759
OpenAlexW4385638583

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.