Local anesthetic inhibition of a bacterial sodium channel
Bibliographic record
Abstract
Recent structural breakthroughs with the voltage-gated sodium channel from Arcobacter butzleri suggest that such bacterial channels may provide a structural platform to advance the understanding of eukaryotic sodium channel gating and pharmacology. We therefore set out to determine whether compounds known to interact with eukaryotic Na(V)s could also inhibit the bacterial channel from Bacillus halodurans and NaChBac and whether they did so through similar mechanisms as in their eukaryotic homologues. The data show that the archetypal local anesthetic (LA) lidocaine inhibits resting NaChBac channels with a dissociation constant (K(d)) of 260 µM, and channels displayed a left-shifted steady-state inactivation gating relationship in the presence of the drug. Extracellular application of QX-314 to expressed NaChBac channels had no effect on sodium current, whereas internal exposure via injection of a bolus of the quaternary derivative rapidly reduced sodium conductance, consistent with a hydrophilic cytoplasmic access pathway to an internal binding site. However, the neutral derivative benzocaine applied externally inhibited NaChBac channels, suggesting that hydrophobic pathways can also provide drug access to inhibit channels. Alternatively, ranolazine, a putative preopen state blocker of eukaryotic Na(V)s, displayed a K(d) of 60 µM and left-shifted the NaChBac activation-voltage relationship. In each case, block enhanced entry into the inactivated state of the channel, an effect that is well described by a simple kinetic scheme. The data suggest that although significant differences exist, LA block of eukaryotic Na(V)s also occurs in bacterial sodium channels and that NaChBac shares pharmacological homology to the resting state of vertebrate Na(V) homologues.
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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 | 0.000 |
| 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 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".