pH modulation of currents that contribute to the medium and slow afterhyperpolarizations in rat CA1 pyramidal neurones
Bibliographic record
Abstract
We examined the effects of changes in pH(o) and pH(i) on currents contributing to the medium and slow afterhyperpolarizations (mI(AHP) and sI(AHP), respectively) in rat CA1 neurones. Reducing pH(o) from 7.4 to 6.7 inhibited mI(AHP) and sI(AHP) whereas increasing pH(o) to 7.7 augmented mI(AHP) and, to a greater extent, sI(AHP). The ability of changes in pH(o) to modulate mI(AHP) reflected changes in the Ca(2+)-activated K(+) current, I(AHP), and a Co(2+)- and XE991-resistant component of mI(AHP), but not the muscarine-sensitive current, I(M). In the presence of 1 microM TTX and 5 mM TEA, low pH(o)-evoked reductions in sI(AHP) were associated with reductions in Ca(2+)-dependent depolarizing potentials; because neither effect was attenuated when internal H(+) buffering power was raised by including 100 mm tricine in the patch pipette, the actions of reductions in pH(o) to inhibit sI(AHP) and, possibly, I(AHP) in large part appear to reflect a low pH(o)-dependent decrease in Ca(2+) influx. In contrast, the effects of high pH(o) to augment mI(AHP) and sI(AHP) were associated with relatively small increases in Ca(2+) potentials but were significantly attenuated by 100 mM internal tricine, indicating that a rise in pH(i) consequent upon the rise in pH(o) was largely responsible. The possibility that changes in pH(i) could act to modulate mI(AHP) and sI(AHP), independently of changes in Ca(2+) influx, was also suggested by experiments in which pH(i) was lowered at a constant pH(o) by the external application of propionate or by the withdrawal of HCO(-)(3) from the perfusing medium. Lowering pH(i) at a constant pH(o) had little effect on Ca(2+) potentials but inhibited mI(AHP) and, to a greater extent, sI(AHP), effects that were attenuated by 100 mM internal tricine. Together, the results indicate that changes in pH(o) and pH(i) modulate mI(AHP) and sI(AHP) in rat CA1 neurones and suggest that, depending on the direction of the pH(o) change, the sensitivities of the underlying currents to changes in Ca(2+) influx and/or pH(i) may contribute to the effects of changes in pH(o) to modulate mI(AHP) and sI(AHP).
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 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) | 0.000 | 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 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".