Mechanisms of hyperthermia‐induced depression of GABAergic synaptic transmission in the immature rat hippocampus
Bibliographic record
Abstract
Clinical observations and experimental studies have shown that hyperthermia can provoke febrile seizures, which are the most common type of pathological brain activity in children. We previously demonstrated that hyperthermia produced a depression of GABAergic neurotransmission in the hippocampus of immature rats in vitro. To investigate the possible mechanisms through which hyperthermia may modulate GABAergic neurotransmission in the hippocampus, whole-cell voltage clamp recordings were performed on CA1 pyramidal neurons in the immature rat brain slices. We found that hyperthermia (38.4-40 degrees C) when compared with baseline temperature of 32 degrees C reduced the frequency of both spontaneous inhibitory post-synaptic currents (sIPSCs) and miniature IPSCs (mIPSCs). Also, hyperthermia decreased the amplitudes of mIPSCs and reduced the mIPSC decay time constants and charge transfer. Non-stationary noise analysis of mIPSCs suggested that the number of open post-synaptic receptors but not single channel conductance was reduced during hyperthermia. Activation of adenylyl cyclase with forskolin prevented, whereas protein kinase A inhibitor N-(2-[p-bromocinnamylamino]ethyl)-5-isoquinolinesulfonamide potentiated, the hyperthermia (40 degrees C)-induced depression of evoked IPSCs (evIPSCs). But protein kinase C activator phorbol 12, 13-dibutyrate (PDBu) did not significantly affect this depression of evIPSCs induced by hyperthermia. Furthermore, hyperthermia-induced depression of evIPSCs was attenuated by 4-aminopyridine, but not by BaCl(2). These results suggest that hyperthermia reduces GABA release from pre-synaptic terminals, in part by blocking the adenylyl cyclase-protein kinase A signaling pathway and activating pre-synaptic 4-aminopyridine-sensitive K(+) channels. Also, the changes in amplitude and decay time constant of the mIPSCs may suggest that hyperthermia also decreases post-synaptic GABA(A) receptor function.
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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) | 0.000 | 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".