Acidosis decreases low Ca<sup>2+</sup> ‐induced neuronal excitation by inhibiting the activity of calcium‐sensing cation channels in cultured mouse hippocampal neurons
Bibliographic record
Abstract
The effects of extracellular pH (pHo) on calcium-sensing non-selective cation (csNSC) channels in cultured mouse hippocampal neurons were investigated using whole-cell voltage-clamp and current-clamp recordings. Decreasing extracellular Ca2+ concentrations ([Ca2+]o) activated slow and sustained inward currents through the csNSC channels. Decreasing pHo activated amiloride-sensitive transient proton-gated currents which decayed to baseline in several seconds. With proton-gated channels inactivated by pre-perfusion with low pH solution or blocked by amiloride, decreasing pHo to 6.5 inhibited the csNSC currents with a leftward shift of the Ca2+ dose-inhibition curve. Increasing pH to 8.5, on the other hand, caused a rightward shift of the Ca2+ dose-inhibition curve and potentiated the csNSC currents. Intracellular alkalinization following bath perfusion of quinine mimicked the potentiation of the csNSC currents by increasing pHo, while intracellular acidification by addition and subsequent withdrawal of NH4Cl mimicked the inhibition of the csNSC currents by decreasing pHo. Intracellular pH (pHi) imaging demonstrated that decreasing pHo induced a corresponding decrease in pHi. Including 30 mM Hepes in the pipette solution eliminated the effects of quinine and NH4Cl on the csNSC currents, but only partially reduced the effect of lowering pHo. In current-clamp recordings, decreasing [Ca2+]o induced sustained membrane depolarization and excitation of hippocampal neurons. Decreasing pHo to 6.5 inhibited the low [Ca2+]o-induced csNSC channel-mediated membrane depolarization and the excitation of neurons. Our results indicate that acidosis may inhibit low [Ca2+]o-induced neuronal excitation by inhibiting the activity of the csNSC channels. Both the extracellular and the intracellular sites are involved in the proton modulation of the csNSC channels.
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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) | 0.000 | 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) | 0.000 | 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".