Evidence map›Paper›PMID 39341589›Full record

ArticleJournal of molecular and cellular cardiology2024

Ex vivo modelling of cardiac injury identifies ferroptosis-related pathways as a potential therapeutic avenue for translational medicine.

Naisam Abbas, Marco Bentele, Florian J G Waleczek, Maximilian Fuchs, Annette Just, Angelika Pfanne, Andreas Pich, Sophie Linke, Susanne Neumüller, Angelika Stucki-Koch and 9 more

Abstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

19 authors.

Naisam AbbasInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany; Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Marco BenteleInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Florian J G WaleczekInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany; Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Maximilian FuchsFraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Annette JustInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Angelika PfanneInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Andreas PichInstitute of Toxicology and Core Unit Proteomics, Hannover Medical School, Hannover, Germany.
Sophie LinkeInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Susanne NeumüllerInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Angelika Stucki-KochFraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Maria JordanFraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Filippo PerbelliniInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Christopher WerleinInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Wilhelm KorteDepartment of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany.
Fabio IusDepartment of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany.
Arjang RuhparwarDepartment of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany.
Natalie WeberInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany.
Jan FiedlerFraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany; Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD), Hannover, Germany.
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies (IMTTS), Hannover Medical School, Hannover, Germany; Center for Translational Regenerative Medicine, Hannover Medical School, Hannover, Germany. Electronic address: Thum.Thomas@mh-hannover.de.

Funding

European Research Council 101054460
6 · The paper itself

Abstract

backgroundHeart failure (HF) is a burgeoning health problem worldwide. Often arising as a result of cardiac injury, HF has become a major cause of mortality with limited availability of effective treatments. Ferroptotic pathways, triggering an iron-dependent form of cell death, are known to be potential key players in heart disease. This form of cell death does not exhibit typical characteristics of programmed cell death, and is mediated by impaired iron metabolism and lipid peroxidation signalling.

objectivesThe aim of this study is to establish an ex-vivo model of myocardial injury in living myocardial slices (LMS) and to identify novel underlying mechanisms and potential therapeutic druggable target(s). METHODS AND

resultsIn this study, we employed LMS as an ex vivo model of cardiac injury to investigate underlying mechanisms and potential therapeutic targets. Cryoinjury was induced in adult rat LMS, resulting in 30 % tissue damage. Cryoinjured LMS demonstrated impaired contractile function, cardiomyocyte hypertrophy, inflammation, and cardiac fibrosis, closely resembling in vivo cardiac injury characteristics. Proteomic analysis revealed an enrichment of factors associated with ferroptosis in the injured LMS, suggesting a potential causative role. To test this hypothesis, we pharmacologically inhibited ferroptotic pathways using ferrostatin (Fer-1) in the cryoinjured rat LMS, resulting in attenuation of structural changes and repression of pro-fibrotic processes. Furthermore, LMS generated from failing human hearts were used as a model of chronic heart failure. In this model, Fer-1 treatment was observed to reduce the expression of ferroptotic genes, enhances contractile function and improves tissue viability. Blocking ferroptosis-associated pathways in human cardiac fibroblasts (HCFs) resulted in a downregulation of fibroblast activation genes, a decrease in fibroblast migration capacity, and a reduction in reactive oxygen species production. RNA sequencing analysis of Fer-1-treated human LMS implicated metallothioneins as a potential underlying mechanism for the inhibition of these pathways. This effect is possibly mediated through the replenishment of glutathione reserves.

conclusionsOur findings highlight the potential of targeting ferroptosis-related pathways and metallothioneins as a promising strategy for the treatment of heart disease.

Indexed as

FerroptosisMyocardiumTranslational Science, BiomedicalAnimalsCardiotonic AgentsCold TemperatureDisease Models, AnimalFibroblastsHeartHeart InjuriesHumansInflammationMaleMetallothioneinProteomicsRats, Sprague-DawleyCardiotonic AgentsMetallothioneinCardiac fibroblastCardiac injuryFerrostatinLiving myocardial sliceMetallothionein

Identifiers

PMID39341589
PMCPMC7617241

What OpenQuestion holds

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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 OpenQuestion graph.