Zn<sup>2+</sup> Slows Down Ca<sub>V</sub>3.3 Gating Kinetics: Implications for Thalamocortical Activity
Bibliographic record
Abstract
We employed whole cell patch-clamp recordings to establish the effect of Zn(2+) on the gating the brain specific, T-type channel isoform Ca(V)3.3 expressed in HEK-293 cells. Zn(2+) (300 microM) modified the gating kinetics of this channel without influencing its steady-state properties. When inward Ca(2+) currents were elicited by step depolarizations at voltages above the threshold for channel opening, current inactivation was significantly slowed down while current activation was moderately affected. In addition, Zn(2+) slowed down channel deactivation but channel recovery from inactivation was only modestly changed. Zn(2+) also decreased whole cell Ca(2+) permeability to 45% of control values. In the presence of Zn(2+), Ca(2+) currents evoked by mock action potentials were more persistent than in its absence. Furthermore, computer simulation of action potential generation in thalamic reticular cells performed to model the gating effect of Zn(2+) on T-type channels (while leaving the kinetic parameters of voltage-gated Na(+) and K(+) unchanged) revealed that Zn(2+) increased the frequency and the duration of burst firing, which is known to depend on T-type channel activity. In line with this finding, we discovered that chelation of endogenous Zn(2+) decreased the frequency of occurrence of ictal-like epileptiform discharges in rat thalamocortical slices perfused with medium containing the convulsant 4-aminopyridine (50 microM). These data demonstrate that Zn(2+) modulates Ca(V)3.3 channel gating thus leading to increased neuronal excitability. We also propose that endogenous Zn(2+) may have a role in controlling thalamocortical oscillations.
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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".