The Tao of IGF-1: Insulin-Like Growth Factor Receptor Activation Increases Pain by Enhancing T-Type Calcium Channel Activity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
T-type calcium channels are important players in the transmission of pain signals in the primary afferent pathway. Indeed, inhibiting or depleting T-type calcium channels in dorsal root ganglion (DRG) neurons mediates analgesia. Conversely, nerve injury or peripheral inflammation have been shown to induce T-type calcium channel activity in DRG neurons, and this in turn has been linked to the development of chronic pain states. The mechanisms that underlie this enhancement of T-type channels remain incompletely understood and may include changes in channel stability in the plasma membrane or alterations in channel function. In this issue of Science Signaling, Zhang and colleagues identify a cell signaling pathway that potently regulates T-type calcium channel activity in afferent neurons and link this process to pain hypersensitivity. Specifically, they show that insulin-like growth factor-1 receptors in DRG neurons mediate a protein kinase C α (PKCα)-dependent enhancement of T-type calcium currents and that interfering with this pathway reduces both mechanical and thermal pain hypersensitivity in rodents. Targeting this process offers a new avenue for developing pain therapeutics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 it