Dependence of μ-Conotoxin Block of Sodium Channels on Ionic Strength but Not on the Permeating [Na+]
Bibliographic record
Abstract
Mu-conotoxins (mu-CTXs) are Na+ channel-blocking, 22-amino acid peptides produced by the sea snail Conus geographus. Although K+ channel pore-blocking toxins show specific interactions with permeant ions and strong dependence on the ionic strength (mu), no such dependence has been reported for mu-CTX and Na+ channels. Such properties would offer insight into the binding and blocking mechanism of mu-CTX as well as functional and structural properties of the Na+ channel pore. Here we studied the effects of mu and permeant ion concentration ([Na+]) on mu-CTX block of rat skeletal muscle (mu1, Nav1.4) Na+ channels. Mu-CTX sensitivity of wild-type and E758Q channels increased significantly (by approximately 20-fold) when mu was lowered by substituting external Na+ with equimolar sucrose (from 140 to 35 mm Na+); however, toxin block was unaltered (p > 0.05) when mu was maintained by replacement of [Na+] with N-methyl-d-glucamine (NMG+), suggesting that the enhanced sensitivity at low mu was not due to reduction in [Na+]. Single-channel recordings identified the association rate constant, k(on), as the primary determinant of the changes in affinity (k(on) increased 40- and 333-fold for mu-CTX D2N/R13Q and D12N/R13Q, respectively, when symmetric 200 mm Na+ was reduced to 50 mm). In contrast, dissociation rates changed <2-fold for the same derivatives under the same conditions. Experiments with additional mu-CTX derivatives identified toxin residues Arg-1, Arg-13, and Lys-16 as important contributors to the sensitivity to external mu. Taken together, our findings indicate that mu-CTX block of Na+ channels depends critically on mu but not specifically on [Na+], contrasting with the known behavior of pore-blocking K+ channel toxins. These findings suggest that different degrees of ion interaction, underlying the fundamental conduction mechanisms of Na+ and K+ channels, are mirrored in ion interactions with pore-blocking toxins.
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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) | 0.002 | 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".