α5GABA<sub>A</sub>Receptors Mediate Tonic Inhibition in the Spinal Cord Dorsal Horn and Contribute to the Resolution Of Hyperalgesia
Bibliographic record
Abstract
Abstract Neuronal inhibition mediated by GABA A receptors constrains nociceptive processing in the spinal cord, and loss of GABAergic inhibition can produce allodynia and hyperalgesia. Extrasynaptic α5 subunit‐containing GABA A receptors (α5GABA A Rs) generate a tonic conductance that inhibits neuronal activity and constrains learning and memory; however, it is unclear whether α5GABA A Rs similarly generate a tonic conductance in the spinal cord dorsal horn to constrain nociception. We assessed the distribution of α5GABA A Rs in the spinal cord dorsal horn by immunohistochemical analysis, and the activity and function of α5GABA A Rs in neurons of the superficial dorsal horn using electrophysiological and behavioral approaches in male, null‐mutant mice lacking the GABA A R α5 subunit ( Gabra5−/− ) and wild‐type mice (WT). The expression of α5GABA A Rs in the superficial dorsal horn followed a laminar pattern of distribution, with a higher expression in lamina II than lamina I. Similarly, the tonic GABA A current in lamina II neurons had a larger contribution from α5GABA A Rs than in lamina I, with no significant contribution of these receptors to synaptic GABA A current. In behavioural tests, WT and Gabra5−/− mice exhibited similar acute thermal and mechanical nociception, and similar mechanical sensitization immediately following intraplantar capsaicin or Complete Freund's Adjuvant (CFA). However, Gabra5−/− mice showed prolonged recovery from sensitization in these models, and increased responses in the late phase of the formalin test. Overall, our data suggest that tonically‐active α5GABA A Rs in the spinal cord dorsal horn accelerate the resolution of hyperalgesia and may therefore serve as a novel therapeutic target to promote recovery from pathological pain. © 2016 Wiley Periodicals, Inc.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".