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Cardioprotective effects of the flavonoid quercetin against doxorubicin-Induced cardiotoxicity in H9c2 cardiomyoblasts

2025· article· en· W4412805568 on OpenAlexfundno aff
N.W.S. Chong, K Konteh

Bibliographic record

VenueEuropean Heart Journal Supplements · 2025
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsnot available
FundersTrent UniversityNottingham Trent University
KeywordsMedicineCardiotoxicityFlavonoidQuercetinDoxorubicinPharmacologyTraditional medicineInternal medicineChemotherapyBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

Abstract Background Doxorubicin (DOX) is an effective chemotherapy drug to treat diverse cancers such as breast, ovarian, small cell lung, and leukaemia. However, its use is limited by dose-dependent cardiotoxicity, leading to conditions such as cardiac arrhythmias, cardiomyopathy, and congestive heart failure. The precise mechanism of DOX-induced cardiotoxicity is still unclear but oxidative stress is a pivotal mechanism in DOX-induced cardiotoxicity. DOX causes senescence in cardiac tissues, a key driver of aging and damage-associated loss of tissue homeostasis mediated by oxidative stress. Therefore, attenuation of DOX-induced oxidative stress could be a key strategy in alleviating DOX-induced cardiotoxicity. Accumulative evidence suggests antioxidants such as quercetin (a naturally occurring flavonoid abundant in fruits and vegetables) have beneficial effect in the protection of oxidative stress-induced cell death. Purpose The aim of this study is to investigate the putative cardioprotective effects of antioxidants against DOX and hydrogen peroxide-induced H9c2 cell death. Methods H9C2 cells were seeded (5000 cells/well) onto 96-well plates and pre-treated with either quercetin (50μM), melatonin (1μM) or in combination for 24 hours. Thereafter, some cells were treated with DOX (10-400 μM), DMSO (10-40%), or hydrogen peroxide (0.25-1 mM) for 2 hours. In some assays, cells were pre-treated with either ferrostatin (50uM) or necrostatin (100μM) for 24 hours before treatment with DOX (200μM) or hydrogen peroxide (500μM) for 2 hours. Cell viability was assayed using the MTT and alamarBlue assays. Statistical analyses were conducted using a one-way ANOVA with Tukey’s post hoc test and data plotted as mean ± SD. Results Doxorubicin, hydrogen peroxide and DMSO dose-dependently reduced H9c2 cell viability (n=5 separate experiments,10 wells per treatment group) when compared to untreated control cells (p<0.0001). Doxorubicin (200uM), DMSO (20%) and hydrogen peroxide (500uM) treatment (2 hours) resulted in 55+/-7%, 65 +/- 6% and 19+/- 5.6% cell viability, respectively. However, pre-treatment with quercetin (50μM) completely blocked DOX-cardiotoxicity and attenuated hydrogen-peroxide induced death by increasing cell viability from 19% to 58 +/- 6% (p<0.05). Ferrostatin (50 μM) pretreatment also provided a similar profile of inhibition for DOX and hydrogen-peroxide induced cell death. Necrostatin had no effect on drug-induced cell death. Cells pre-treated with quercetin (50μM), ferrostatin (50μM and necrostatin (50μM) had no significant effect on cell viability (p>0.05). Conclusions Simulated oxidative stress (DOX and hydrogen peroxide) induced dose-dependent cell death in h9c2 cells which was attenuated by quercetin and ferrostatin. It is conceivable that a key mechanism of quercetin is via the blockade of ferroptosis an provides a platform as novel natural therapeutics against DOX-induced cardiotoxicity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.286
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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