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Record W3155887004 · doi:10.1002/1873-3468.14091

Resveratrol reduces cardiac NLRP3‐inflammasome activation and systemic inflammation to lessen doxorubicin‐induced cardiotoxicity in juvenile mice

2021· article· en· W3155887004 on OpenAlexafffund
Zaid H. Maayah, Abrar S. Alam, Shingo Takahara, Shubham Soni, Mourad Ferdaoussi, Nobutoshi Matsumura, Beshay N. Zordoky, David D. Eisenstat, Jason R.B. Dyck

Bibliographic record

VenueFEBS Letters · 2021
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood InstituteCanadian Institutes of Health ResearchUniversity of Alberta
KeywordsCardiotoxicityInflammasomeDoxorubicinInflammationResveratrolSystemic inflammationPharmacologyMedicineJuvenileImmunologyChemistryInternal medicineChemotherapyBiology

Abstract

fetched live from OpenAlex

Doxorubicin (DOX) is a very effective anticancer agent that is widely used in pediatric cancer patients. Nevertheless, DOX is known to have cardiotoxic effects that may progress to cardiomyopathy later in life. We have recently shown that cotreatment of resveratrol (RES) with DOX in juvenile mice attenuates late-onset hypertension-induced cardiomyopathy. However, the molecular mechanism responsible for these changes remains unknown. Herein, we show that the cardiac NLRP3 inflammasome plays a crucial role in regulating cardiac injury in a DOX -treated juvenile mouse model and the detrimental effects of hypertension in these mice later in life. We further demonstrate that RES significantly reduces systemic inflammation to contribute to the improvements observed in DOX -induced cardiac injury in young mice and late-onset hypertension-induced cardiomyopathy.

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 score0.106
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.253
Teacher spread0.241 · 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".

Quick stats

Citations53
Published2021
Admission routes2
Has abstractyes

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