Δ9-Tetrahydrocannabinol (Δ9-THC) Improves Ischemia/Reperfusion Heart Dysfunction and Might Serve as a Cardioprotective Agent in the Future Treatment
Bibliographic record
Abstract
Background: Ischemia/reperfusion (I/R) is a pivotal mechanism of organ injury during clinical stetting for example for cardiopulmonary bypasses. The generation of reactive oxygen species (ROS) during I/R induces oxidative stress that promotes endothelial dysfunction, DNA dissociation and local inflammation. In turn, those processes induce cytokine release, resulting in damage to cellular structures and cell death. One of the major psychoactive compounds of Cannabis is delta-9-tetrahydrocannabinol (Δ9-THC), which is known as an anti-inflammatory mediator. Our research aimed to test if Δ9-THC may be protective in the treatment of cardiovascular system dysfunction arising from I/R heart injury. Methods: Two experimental models were used: isolated rat hearts perfused with the Langendorff method and human cardiac myocytes (HCM) culture. Rat hearts and HCM underwent ex vivo/chemical in vitro I/R protocol with/without Δ9-THC treatment. The following parameters were measured: cell metabolic activity, morphology changes, cell damage as lactate dehydrogenase (LDH) activity, ceramide kinase (CERK) activity, ROS level, total antioxidant capacity (TAC) and heart hemodynamic parameters. Results: Δ9-THC protected the heart, as evidenced by the improved recovery of cardiac function (p < 0.05, N = 3–6). Cells subjected to I/R showed lower cytoplasmic LDH activity, and 10 μM Δ9-THC treatment reduced cell injury and increased LDH content (p = 0.019, N = 6–9). Morphology changes of HCM-spherical shape, vacuolisation of cytoplasm and swollen mitochondria—were inhibited due to Δ9-THC treatment. I/R condition affected cell viability, but 10 μM Δ9-THC decreased the number of dead cells (p = 0.005, N = 6–9). The total level of CERK was lower in the I/R group, reflecting oxidative/nitrosative stress changes. The administration of Δ9-THC effectively increased the production of CERK to the level of aerobic control (p = 0.028, N = 6–9). ROS level was significantly decreased in I/R cells (p = 0.007, N = 6–8), confirming oxidative stress, while administration of 10 μM Δ9-THC enhanced TAC in cardiomyocytes subjected to I/R (p = 0.010, N = 6–8). Conclusions: Δ9-THC promotes the viability of cardiomyocytes, improves their metabolic activity, decreases cell damage and restores heart mechanical function, serving as a cardioprotective. We proposed the use of Δ9-THC as a cardioprotective drug to be, administered before onset of I/R protocol.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".