Electrical depression in the anoxic turtle cortex is mediated by GABA and initiated by O2‐sensitive ROS depletion
Bibliographic record
Abstract
Painted turtle brain survives anoxia but the primary protective mechanisms are unknown. The purpose of this study was to determine if GABA receptors and ROS are involved in the electrical depression observed in anoxic turtle cortex. Using patch clamp techniques electrical activity was recorded form turtle cortical pyramidal neurons undergoing normoxic to anoxic transitions with a ROS scavenging compound (MPG) and GABA receptor manipulation. Anoxia, GABA or MPG increased whole cell conductance (Gw), raised AP threshold (APth) and decreased AP frequency (APf). Simultaneous perfusion of anoxic saline with GABA or MPG, or of normoxic saline with GABA + MPG had no synergistic effects. Blockade of GABA A but not GABA B receptors during anoxia prevented changes in Gw, APth and APf, and the neurons underwent seizure‐like activity and subsequent cell death. Blocking APs with TTX prevented seizure‐like activity and reduced cell death. We conclude that decreased ROS generation during anoxia activates GABA A receptors and increases Cl − conductance in a shunt‐like fashion. This opposes AP generation and reduces the excitability of the cell, reducing the workload of ion pumps and preserving ATP supplies. GABA‐mediated electrical depression appears to be critical to the survival of turtle cortical neurons during anoxia and ROS production may serve as an O2 sensor to mediate this system.
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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".