Role of the NKCC1 co-transporter in sensitization of spinal nociceptive neurons
Bibliographic record
Abstract
The Na(+), K(+), 2Cl(-) co-transporter type 1 (NKCC1) plays a pivotal role in hyperalgesia associated with inflammatory stimuli. NKCC1 contributes to maintain high [Cl(-)](i) in dorsal root ganglia (DRG) neurons which cause primary afferent depolarization (PAD) when GABA(A) receptors are activated. Enhanced GABA-induced depolarization, through increased NKCC1 activity, has been hypothesized to produce orthodromic spike activity of sufficient intensity to account for touch-induced pain. In the present study, we investigate this hypothesis using in vivo electrophysiology on rat dorsal horn neurons; the effects of spinal blockade of NKCC1 on intraplantar capsaicin-induced sensitization of dorsal horn neurons were examined. Single wide dynamic range (WDR) and nociceptive specific (NS) neuron activity in the dorsal horn was recorded using glass microelectrodes in anesthetized rats. Dorsal horn neurons with a receptive field on the plantar surface of the hindpaw were studied. Neuronal responses to mechanical stimuli (brush, von Frey filaments) were recorded ten minutes before intraplantar injection of 0.3 ml 0.1% capsaicin (CAP), 40 min after CAP and 15 min after local application of the NKCC1 blocker bumetanide (BTD; 500 μM) on the spinal cord. After CAP, low and high threshold stimulation of the cutaneous receptive field produced a significant enhancement in spike frequency over pre-CAP values in both WDR and NS neurons. Spinal BTD application reduced the spike frequency to baseline levels as well as attenuated the CAP-induced increases in background activity. Our data support the hypothesis that NKCC1 plays an important role in the sensitization of dorsal horn neurons following a peripheral inflammatory insult.
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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) | 0.001 | 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".