Effect of Cannabistilbene I in Attenuating Angiotensin II-Induced Cardiac Hypertrophy: Insights into Cytochrome P450s and Arachidonic Acid Metabolites Modulation
Bibliographic record
Abstract
Introduction: This research investigated the impact of Cannabistilbene I on Angiotensin II (Ang II)-induced cardiac hypertrophy and its potential role in cytochrome P450 (CYP) enzymes and arachidonic acid (AA) metabolic pathways. Cardiac hypertrophy, a response to increased stress on the heart, can lead to severe cardiovascular diseases if not managed effectively. CYP enzymes and AA metabolites play critical roles in cardiac function and hypertrophy, making them important targets for therapeutic intervention. Methods: Adult human ventricular cardiomyocyte cell line (AC16) was cultured and treated with Cannabistilbene I in the presence and absence of Ang II. The effects on mRNA expression related to cardiac hypertrophic markers and CYP were analyzed using real-time polymerase chain reaction, while CYP protein levels were measured by Western blot analysis. AA metabolites were quantified using liquid chromatography–tandem mass spectrometry (LC–MS/MS). Results: Results showed that Ang II triggered hypertrophy, as evidenced by the increase in hypertrophic marker expression, and enlarged the cell surface area, effects that were alleviated by Cannabistilbene I. Gene expression analysis indicated that Cannabistilbene I upregulated CYP1A1, leading to increased enzymatic activity, as evidenced by 7-ethoxyresorufin-O-deethylase assay. Furthermore, LC–MS/MS analysis of AA metabolites revealed that Ang II elevated midchain (R/S)-hydroxyeicosatetraenoic acid (HETE) concentrations, which were reduced by Cannabistilbene I. Notably, Cannabistilbene I selectively increased 19(S)-HETE concentration and reversed the Ang II-induced decline in 19(S)-HETE, suggesting a unique protective role. Conclusion: This study provides new insights into the potential of Cannabistilbene I in modulating AA metabolites and reducing Ang II-induced cardiac hypertrophy, revealing a new candidate as a therapeutic agent for cardiac hypertrophy.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".