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Fluconazole Inhibits Cytochrome P450 1B1 and its Associated Arachidonic Acid Metabolites in the Heart and Protects against Angiotensin II‐induced Cardiac Hypertrophy

2019· article· en· W3177184192 on OpenAlexafffundabout
Ahmad H. Alammari, Zaid H. Maayah, Sherif M. Shoieb, Ayman O.S. El‐Kadi

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEicosanoids and Hypertension Pharmacology
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchQassim University
KeywordsFluconazoleHydroxyeicosatetraenoic acidMetaboliteArachidonic acidChemistryCytochrome P450PharmacologyCYP1B1EndocrinologyAngiotensin IIInternal medicineWestern blotCYP3AMetabolismBiochemistryEnzymeBiologyMedicineReceptor

Abstract

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Cytochrome P450 1B1 (CYP1B1) has been reported to have a major role in metabolizing arachidonic acid (AA) into cardiotoxic metabolites, mid‐chain hydroxyeicosatetraenoic acid (HETEs). Of particular interest, several studies have demonstrated the role of mid‐chain HETEs in the development of cardiac hypertrophy. Recently, we have shown that fluconazole inhibits the formation of mid‐chain HETEs metabolite, however, whether fluconazole would be able to modulate CYP1B1‐mediated AA metabolism in an Ang II‐induced cellular hypertrophy model and in rats' heart has never been investigated before. Therefore, the objectives of this study were; 1) to investigate the effect of fluconazole on CYP1B1 mediated AA metabolites and to explore the potential protective effect against Ang II‐induced cellular hypertrophy, and 2) to study the effect of fluconazole on CYP1B1 and its associated AA metabolites in vivo in Sprague Dawley rats. For this purpose, both H9c2 and RL‐14 cells were treated with 10 μM Ang II in the absence and presence of 50 μM fluconazole for 24 hours. Also, Sprague Dawley rats (n=6) were injected intraperitoneally with a single dose of fluconazole (20 mg/kg) or saline and the heart tissues were harvested 24 hours post‐treatment. Thereafter, the formation of AA metabolites was measured using liquid chromatography‐electron spray ionization‐mass spectrometry (LC‐ESI‐MS). Whereas, the expression of cardiac hypertrophic markers and CYP1B1 were determined by real time‐polymerase chain reaction and Western blot analysis, respectively. Moreover, enzymatic activity and determination of CYP1B1 inhibition kinetics by fluconazole were assessed using 7‐ethoxyresorufin O‐deethylase (EROD) and recombinant human CYP1B1 assays. Our results demonstrated that fluconazole was able to attenuate Ang‐II‐induced cellular hypertrophy as evidenced by a significant inhibition of hypertrophic markers, β‐myosin heavy chain (MHC)/ α‐MHC, BNP as well as cell surface area. The protective effect of fluconazole was associated with a significant decrease in the level of CYP1B1 gene, protein, activity levels and its associated mid‐chain HETEs metabolite induced by Ang II. Furthermore, treatment of rats with fluconazole significantly decreased the expression of CYP1B1 enzyme and the formation level of cardiotoxic mid‐chain HETEs metabolites in the heart. In conclusion, our results showed that fluconazole protects against Ang II‐induced cellular hypertrophy by inhibiting CYP1B1 and its associated mid‐chain HETEs metabolites. Also, fluconazole may be repurposed as a mid‐chain HETEs formation inhibitor for the treatment of cardiac hypertrophy and heart failure. Support or Funding Information This work was supported by a grant from the Canadian Institutes of Health Research [Grant 106665] to A.O.S.E. A.H.A is the recipient of Saudi Arabian government scholarship provided by Qassim University. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.236
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), 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
Published2019
Admission routes3
Has abstractyes

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