Evidence map›Paper›PMID 21979051›Full record

ArticleNature2011

Endonuclease G is a novel determinant of cardiac hypertrophy and mitochondrial function.

Chris McDermott-Roe, Junmei Ye, Rizwan Ahmed, Xi-Ming Sun, Anna Serafín, James Ware, Leonardo Bottolo, Phil Muckett, Xavier Cañas, Jisheng Zhang and 25 more

Abstract read
In one paragraph

Article in Nature, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

93 citing papers in PubMed, 153 citations in OpenAlex.

  1. Article
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  7. Endonuclease G promotes hepatic mitochondrial respiration by selectively increasing mitochondrial tRNAProceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Apoptotic proteins with non-apoptotic activity: expression and function in cancer.Apoptosis : an international journal on programmed cell death · 2023
    Review
  18. Article
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  20. Article

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors at 15 institutions in 7 countries.

Chris McDermott-RoeMedical Research Council Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, London W12 ONN, UK.
Junmei Ye
Rizwan Ahmed
Xi-Ming Sun
Anna Serafín
James Ware
Leonardo Bottolo
Phil Muckett
Xavier Cañas
Jisheng Zhang
Glenn C Rowe
Rachel Buchan
Han Lu
Adam Braithwaite
Massimiliano Mancini
David Hauton
Ramon Martí
Elena García-Arumí
Norbert Hubner
Howard Jacob
Tadao Serikawa
Vaclav Zidek
Frantisek Papousek
Frantisek Kolar
Maria Cardona
Marisol Ruiz-Meana
David García-Dorado
Joan X Comella
Leanne E Felkin
Paul J R Barton
Zoltan Arany
Michal Pravenec
Enrico Petretto
Daniel Sanchis
Stuart A Cook
Imperial College London · GBBiomedical Research Institute of Lleida · ESMedical Research Council · GBUniversitat Autònoma de Barcelona · ESCardiovascular Institute of the South · USCzech Academy of Sciences · CZCzech Academy of Sciences, Institute of Physiology · CZHammersmith Hospital · GBNIHR Royal Brompton Cardiovascular Biomedical Research Unit · GBVall d'Hebron Institut de Recerca · ESKyoto University · JPMax Delbrück Center · DEMedical College of Wisconsin · USSapienza University of Rome · ITUniversity of Birmingham · GB

Funding

British Heart Foundation SP/10/10/28431Medical Research Council MC_U120085815Medical Research Council MC_U120097112Wellcome Trust 087183
6 · The paper itself

Abstract

Left ventricular mass (LVM) is a highly heritable trait and an independent risk factor for all-cause mortality. So far, genome-wide association studies have not identified the genetic factors that underlie LVM variation, and the regulatory mechanisms for blood-pressure-independent cardiac hypertrophy remain poorly understood. Unbiased systems genetics approaches in the rat now provide a powerful complementary tool to genome-wide association studies, and we applied integrative genomics to dissect a highly replicated, blood-pressure-independent LVM locus on rat chromosome 3p. Here we identified endonuclease G (Endog), which previously was implicated in apoptosis but not hypertrophy, as the gene at the locus, and we found a loss-of-function mutation in Endog that is associated with increased LVM and impaired cardiac function. Inhibition of Endog in cultured cardiomyocytes resulted in an increase in cell size and hypertrophic biomarkers in the absence of pro-hypertrophic stimulation. Genome-wide network analysis unexpectedly implicated ENDOG in fundamental mitochondrial processes that are unrelated to apoptosis. We showed direct regulation of ENDOG by ERR-α and PGC1α (which are master regulators of mitochondrial and cardiac function), interaction of ENDOG with the mitochondrial genome and ENDOG-mediated regulation of mitochondrial mass. At baseline, the Endog-deleted mouse heart had depleted mitochondria, mitochondrial dysfunction and elevated levels of reactive oxygen species, which were associated with enlarged and steatotic cardiomyocytes. Our study has further established the link between mitochondrial dysfunction, reactive oxygen species and heart disease and has uncovered a role for Endog in maladaptive cardiac hypertrophy.

Indexed as

AnimalsApoptosisBody WeightCardiomegalyCell RespirationChromosomes, MammalianCrosses, GeneticEndodeoxyribonucleasesERRalpha Estrogen-Related ReceptorFemaleGene Expression RegulationGenes, MitochondrialHypertrophy, Left VentricularLipid MetabolismMaleMitochondriaEndodeoxyribonucleasesendonuclease GERRalpha Estrogen-Related ReceptorPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPpargc1a protein, ratReactive Oxygen SpeciesReceptors, EstrogenRNA-Binding ProteinsTranscription Factors

Identifiers

PMID21979051
PMCPMC3189541
OpenAlexW1976987687

What OpenQuestion holds

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LicenceTDM
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.