Evidence map›Paper›PMID 32235559›Full record

ArticleMetabolites2020

Enhancing Glycolysis Protects against Ischemia-Reperfusion Injury by Reducing ROS Production.

Claudia Beltran, Rosario Pardo, Diana Bou-Teen, Marisol Ruiz-Meana, Josep A Villena, Ignacio Ferreira-González, Ignasi Barba

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Glycolysis-Related Genes,Cardiology research · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Cardiac Metabolism, Reprogramming, and Diseases.Journal of cardiovascular translational research · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Negative energy balance hinders prosocial helping behavior.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. 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

7 authors at 2 institutions in 1 country.

Claudia BeltranCardiovascular Diseases Research Group, Department of Cardiology, Vall d'Hebron University Hospital and Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Rosario PardoLaboratory of Metabolism and Obesity, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Diana Bou-TeenCardiovascular Diseases Research Group, Department of Cardiology, Vall d'Hebron University Hospital and Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Marisol Ruiz-MeanaCardiovascular Diseases Research Group, Department of Cardiology, Vall d'Hebron University Hospital and Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Josep A VillenaLaboratory of Metabolism and Obesity, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Ignacio Ferreira-GonzálezCardiovascular Diseases Research Group, Department of Cardiology, Vall d'Hebron University Hospital and Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Ignasi BarbaCardiovascular Diseases Research Group, Department of Cardiology, Vall d'Hebron University Hospital and Research Institute, Universitat Autònoma de Barcelona, 08025 Barcelona, Spain.
Universitat Autònoma de Barcelona · ESUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

Instituto de Salud Carlos III PI14/01431 and PI17/01397La Caixa Fundation HR17-00627Ministerio de Economia y Competitividad BFU2015-64462R
6 · The paper itself

Abstract

After myocardial ischemia-reperfusion, fatty acid oxidation shows fast recovery while glucose oxidation rates remain depressed. A metabolic shift aimed at increasing glucose oxidation has shown to be beneficial in models of myocardial ischemia-reperfusion. However, strategies aimed at increasing glucose consumption in the clinic have provided mixed results and have not yet reached routine clinical practice. A better understanding of the mechanisms underlying the protection afforded by increased glucose oxidation may facilitate the transfer to the clinic. The purpose of this study was to evaluate if the modulation of reactive oxygen species (ROS) was involved in the protection afforded by increased glucose oxidation. Firstly, we characterized an H9C2 cellular model in which the use of glucose or galactose as substrates can modulate glycolysis and oxidative phosphorylation pathways. In this model, there were no differences in morphology, cell number, or ATP and PCr levels. However, galactose-grown cells consumed more oxygen and had an increased Krebs cycle turnover, while cells grown in glucose had increased aerobic glycolysis rate as demonstrated by higher lactate and alanine production. Increased aerobic glycolysis was associated with reduced ROS levels and protected the cells against simulated ischemia-reperfusion injury. Furthermore, ROS scavenger N-acetyl cysteine (NAC) was able to reduce the amount of ROS and to prevent cell death. Lastly, cells grown in galactose showed higher activation of mTOR/Akt signaling pathways. In conclusion, our results provide evidence indicating that metabolic shift towards increased glycolysis reduces mitochondrial ROS production and prevents cell death during ischemia-reperfusion injury.

Indexed as

heartmetabolic shiftmyocardial infarction

Identifiers

PMID32235559
PMCPMC7240969
OpenAlexW3013473263

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.