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Cardiac fibroblast growth factor‐16 increases efflux drug (ABC) transporter production and resistance to doxorubicin‐induced cardiomyocyte death

2016· article· en· W4389027368 on OpenAlexaffabout
Jie Wang, Peter A. Cattini

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPharmacologyFibroblast growth factorATP-binding cassette transporterDoxorubicinTransporterBiologyCancer researchCell biologyMedicineInternal medicineBiochemistryChemotherapyReceptor

Abstract

fetched live from OpenAlex

Doxorubicin (DOX) is a cytotoxic anthracycline antibiotic that is widely used in cancer treatment. However, its cardiotoxic side effects can be fatal, and have long been an issue for cancer patients both in the short and longer term. Strategies are needed to protect the heart. Fibroblast growth factor (FGF) 16 plays an important role in embryonic mouse heart development. After birth, FGF‐16 is predominantly expressed in the myocardium, and is linked to both anti‐fibrotic and anti‐hypertrophic activities. Supplementation with FGF‐16 increases resistance to DOX‐induced loss of ventricular function in an isolated mouse heart model. However, there is no report on the effects of DOX on endogenous FGF‐16 levels or the mechanism(s) for cardioprotection by FGF‐16. ATP‐binding cassette (ABC) transporters are a family of ATP‐dependent membrane proteins that play an important role in drug distribution and excretion. ABC transporters work as pumps effluxing drugs out of the cell immediately after drug entry thereby reducing cellular drug concentration. Drug concentration positively determines the ABC transporter levels. Previously we showed that FGF‐16 can compete with FGF‐2 binding to the same FGF receptors (FGFRs). Unlike FGF‐16, FGF‐2 is not cardiac‐specific but is cardioprotective and known to induce p‐glycoprotein (MDRs) and multidrug resistance‐associated protein (MRPs) expression in neonatal rat cardiomyocytes. Our hypothesis is that FGF‐16 protects cardiomyocytes from DOX‐induced cell death by increasing the levels of ABC drug transporters. Our results show that 1 μM DOX induces a time‐dependent decrease in endogenous FGF‐16 RNA levels with a rapid 80% reduction by 2 hours in neonatal rat cardiomyocytes. Knockdown of endogenous FGF‐16 levels using siRNA results in a significant increase in apoptotic (Annexin‐V positive) and necrotic (LDH release) cells; this is consistent with endogenous FGF‐16 serving as a cardiac maintenance/survival factor. Overexpression of FGF‐16 using adenoviral delivery significantly and specifically increases efflux drug transporter Mdr1a levels in a dose‐dependent manner. Significant decrease in calcein fluorescence intensity in a functional analysis using calcein AM as a substrate for the efflux drug transporters was consistent with the increased levels of drug transporters RNA post FGF‐16 overexpression. In addition, FGF‐16 adenovirus overexpression in cardiomyocytes treated with 1μM DOX significantly decreased the intracellular DOX concentration as measured by DOX autofluorescence. This was associated with a significant reduction in the apoptotic and necrotic cell population, consistent with a decrease in DOX cytotoxicity. Furthermore, inhibition of FGFR signaling using 20 μM SU5402 blocked the increased efflux effect of the ABC transporters. In conclusion , FGF‐16 increases resistance to DOX‐induced injury by increasing efflux drug transporters via binding to the FGFRs. Understanding the effect of FGF‐16 on drug transporter production and function may offer a further target for intervention in the context of DOX and cardiotoxicity. Support or Funding Information Funded by the Canadian Institutes of Health Research and Research Manitoba.

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 score0.046
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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
Published2016
Admission routes2
Has abstractyes

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