Evidence map›Paper›PMID 30462352›Full record

ArticleThe Journal of physiology2020

Metabolic remodelling of glucose, fatty acid and redox pathways in the heart of type 2 diabetic mice.

Sonia Cortassa, Viviane Caceres, Carlo G Tocchetti, Michel Bernier, Rafael de Cabo, Nazareno Paolocci, Steven J Sollott, Miguel A Aon

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
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  12. Article
  13. Review
  14. Guidelines on models of diabetic heart disease.American journal of physiology. Heart and circulatory physiology · 2022
    Review
  15. Article
  16. Effects of Lipid Overload on Heart in Metabolic Diseases.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2021
    Review
  17. Article
  18. Review
  19. Article
  20. The era of big data: Genome-scale modelling meets machine learning.Computational and structural biotechnology journal · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Sonia CortassaLaboratory of Cardiovascular Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA.ORCID 0000-0001-7224-9858
Viviane CaceresDivision of Cardiology, Department of Medicine, The Johns Hopkins University, Baltimore, MD, 21205, USA.ORCID 0000-0002-6052-0273
Carlo G TocchettiDivision of Cardiology, Department of Medicine, The Johns Hopkins University, Baltimore, MD, 21205, USA.ORCID 0000-0001-5983-688X
Michel BernierTranslational Gerontology Branch, National Institute on Aging/NIH, Baltimore, MD, 21224, USA.ORCID 0000-0002-5948-368X
Rafael de CaboTranslational Gerontology Branch, National Institute on Aging/NIH, Baltimore, MD, 21224, USA.ORCID 0000-0002-3354-2442
Nazareno PaolocciDivision of Cardiology, Department of Medicine, The Johns Hopkins University, Baltimore, MD, 21205, USA.
Steven J SollottLaboratory of Cardiovascular Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA.
Miguel A AonLaboratory of Cardiovascular Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA.ORCID 0000-0002-4355-5431
National Institute on Aging · USJohns Hopkins University · USUniversity of Padua · IT

Funding

Control Mechanisms for Matching ATP Supply and Demand in Heart MitochondriaZIAAG000250 · NIA · NATIONAL INSTITUTE ON AGING · PI SOLLOTT, STEVEN · 2009 to 2024
$21.0M
Aging Intervention ProgramZIAAG000363 · NIA · NATIONAL INSTITUTE ON AGING · PI DE CABO, RAFAEL · 2009 to 2025
$9.0M
BDNF TrkB- and beta-AR signals in ischemic and non-ischemic cardiomyopathyR01HL136918 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PAOLOCCI, NAZARENO · 2018 to 2021
$2.7M
Mechanisms Underlying Mitrochondrial Dysfunction in the Diabetic HeartR01HL091923 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI AKAR, FADI GABRIEL, AON, MIGUEL ANTONIO · 2009 to 2012
$1.9M
Mechanisms of ROS Balance and Cardiac Energy Metabolism in Diabetes MellitusR21HL106054 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORTASSA, SONIA DEL CARMEN · 2011 to 2012
$451k
NHLBI NIH HHS R01 HL091923NHLBI NIH HHS R01 HL136918NHLBI NIH HHS R21 HL106054NIA/NIH, and NIH R01-HL091923-01NIA/NIH, and NIH R21HL106054
6 · The paper itself

Abstract

key pointsHearts from type 2 diabetic animals display perturbations in excitation-contraction coupling, impairing myocyte contractility and delaying relaxation, along with altered substrate consumption patterns. Under high glucose and β-adrenergic stimulation conditions, palmitate can, at least in part, offset left ventricle (LV) dysfunction in hearts from diabetic mice, improving contractility and relaxation while restoring coronary perfusion pressure. Fluxome calculations of central catabolism in diabetic hearts show that, in the presence of palmitate, there is a metabolic remodelling involving tricarboxylic acid cycle, polyol and pentose phosphate pathways, leading to improved redox balance in cytoplasmic and mitochondrial compartments. Under high glucose and increased energy demand, the metabolic/fluxomic redirection leading to restored redox balance imparted by palmitate helps explain maintained LV function and may contribute to designing novel therapeutic approaches to prevent cardiac dysfunction in diabetic patients. ABSTRACT: Type-2 diabetes (T2DM) leads to reduced myocardial performance, and eventually heart failure. Excessive accumulation of lipids and glucose is central to T2DM cardiomyopathy. Previous data showed that palmitate (Palm) or glutathione preserved heart mitochondrial energy/redox balance under excess glucose, rescuing β-adrenergic-stimulated cardiac excitation-contraction coupling. However, the mechanisms underlying the accompanying improved contractile performance have been largely ignored. Herein we explore in intact heart under substrate excess the metabolic remodelling associated with cardiac function in diabetic db/db mice subjected to stress given by β-adrenergic stimulation with isoproterenol and high glucose compared to their non-diabetic controls (+/+, WT) under euglycaemic conditions. When perfused with Palm, T2DM hearts exhibited improved contractility/relaxation compared to WT, accompanied by extensive metabolic remodelling as demonstrated by metabolomics-fluxomics combined with bioinformatics and computational modelling. The T2DM heart metabolome showed significant differences in the abundance of metabolites in pathways related to glucose, lipids and redox metabolism. Using a validated computational model of heart's central catabolism, comprising glucose and fatty acid (FA) oxidation in cytoplasmic and mitochondrial compartments, we estimated that fluxes through glucose degradation pathways are ∼2-fold lower in heart from T2DM vs. WT under all conditions studied. Palm addition elicits improvement of the redox status via enhanced β-oxidation and decreased glucose uptake, leading to flux-redirection away from redox-consuming pathways (e.g. polyol) while maintaining the flux through redox-generating pathways together with glucose-FA 'shared fuelling' of oxidative phosphorylation. Thus, available FAs such as Palm may help improve function via enhanced redox balance in T2DM hearts during peaks of hyperglycaemia and increased workload.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2AnimalsFatty AcidsGlucoseHeartHumansMiceMyocardiumOxidation-ReductionFatty AcidsGlucosediabetic cardiomyopathyfluxomicsmetabolomics

Identifiers

PMID30462352
PMCPMC7739175
OpenAlexW2901181165

What OpenQuestion holds

Textmetadata
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.