Targeting Nav1.7 and Nav1.8 with a PIKfyve inhibitor to reverse inflammatory and neuropathic pain
Bibliographic record
Abstract
• The lipid kinase PIKfyve generates phosphatidylinositol (3,5)-bisphosphate (PI(3,5)P 2 ). • SGC-PIKFYVE-1, a potent and selective inhibitor of PIKfyve, has been used as a chemical probe for this kinase. • PIKfyve inhibition reportedly changes membrane dynamics and ion transport. • SGC-PIKFYVE-1 inhibited voltage-gated sodium currents in rat sensory neurons. • SGC-PIKFYVE-1 reversed spared nerve injury-induced mechanical and cold nociception. PIKfyve (1-phosphatidylinositol 3-phosphate 5-kinase), a lipid kinase, plays an important role in generating phosphatidylinositol (3,5)-bisphosphate (PI(3,5)P 2 ). SGC-PIKFYVE-1, a potent and selective inhibitor of PIKfyve, has been used as a chemical probe to explore pathways dependent on PIKfyve activity. Based on reported changes in membrane dynamics and ion transport in response to PIKfyve inhibition, we hypothesized that pharmacological inhibition of PIKfyve could modulate pain. Acute treatment with SGC-PIKFYVE-1 (10 µM) inhibited voltage-gated sodium currents through the inhibition of Na v 1.7 and Na v 1.8 channels, without affecting voltage-gated calcium or potassium currents in sensory neurons. Additionally, systemic administration of SGC-PIKFYVE-1 (30 mg/kg) alleviated mechanical and cold sensitivity induced by neuropathic or inflammatory pain in both male and female mice, without causing motor impairments. Although other functions of PIKfyve are well characterized, its role in inhibiting chronic pain has not been fully elucidated. Our study provides proof-of-concept for this alternative approach to pain management. Collectively, these results highlight the inhibitory effects of PIKfyve as a promising avenue for further exploration in chronic pain treatment.
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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 | 0.002 | 0.001 |
| 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 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".