Inhibition of cardiac voltage‐gated sodium channels by grape polyphenols
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The cardiovascular benefits of red wine consumption are often attributed to the antioxidant effects of its polyphenolic constituents, including quercetin, catechin and resveratrol. Inhibition of cardiac voltage-gated sodium channels (VGSCs) is antiarrhythmic and cardioprotective. As polyphenols may also modulate ion channels, and possess structural similarities to several antiarrhythmic VGSC inhibitors, we hypothesised that VGSC inhibition may contribute to cardioprotection by these polyphenols. EXPERIMENTAL APPROACH: The whole-cell voltage-clamp technique was used to record peak and late VGSC currents (INa) from recombinant human heart NaV1.5 channels expressed in tsA201 cells. Right ventricular myocytes from rat heart were isolated and single myocytes were field-stimulated. Either calcium transients or contractility were measured using the calcium-sensitive dye Calcium-Green 1AM or video edge detection, respectively. KEY RESULTS: The red grape polyphenols quercetin, catechin and resveratrol blocked peak INa with IC50s of 19.4 microM, 76.8 microM and 77.3 microM, respectively. In contrast to lidocaine, resveratrol did not exhibit any frequency-dependence of peak INa block. Late INa induced by the VGSC long QT mutant R1623Q was reduced by resveratrol and quercetin. Resveratrol and quercetin also blocked late INa induced by the toxin, ATX II, with IC50s of 26.1 microM and 24.9 microM, respectively. In field-stimulated myocytes, ATXII-induced increases in diastolic calcium were prevented and reversed by resveratrol. ATXII-induced contractile dysfunction was delayed and reduced by resveratrol. CONCLUSIONS AND IMPLICATIONS: Our results indicate that several red grape polyphenols inhibit cardiac VGSCs and that this effect may contribute to the documented cardioprotective efficacy of red grape products.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".