33-LB: Role of Cav3.2 Channels in Sensory Neuron Abnormalities during Early Hyperglycemia
Bibliographic record
Abstract
Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes. It is characterized by a constellation of sensory abnormalities, including numbness, tingling, burning, and painful sharp, shooting sensations in the extremities. Patients with DPN are also at high risk for infection and amputation. Traditionally, neuropathy has been considered to result from peripheral nerve damage after long term diabetes, however more recent indicate that functional changes take place in early stages of diabetes. One of those changes is the increased expression and signalling of the receptor for advance glycation end-product (RAGE), which is known to have a pivotal role in the development of diabetic complications. In the current study we concentrate on T-type (Cav 3.2) channels, which are low voltage-activated calcium channels that play a key role in cellular excitability, and have been reported to contribute to pain abnormalities in rat models of DPN. The goal of this project is to elucidate the role of Cav 3.2 during early stages of diabetes in sensory neurons from the dorsal root ganglion (DRG) of mice, and its possible regulation through the RAGE pathway. We used cultured DRG neurons from wilt-type (WT) and RAGE knock-out (RAGE KO) mice maintained in control (5mM) or high glucose (25 mM) for up to 14 days, as well as intact DRG ganglia from streptozotocin (STZ)-induced diabetic mice (WT and RAGE KO) for 4 weeks. Using whole cell patch-clamp electrophysiology and protein biochemistry we revealed changes in the activation kinetics and expression levels of Cav 3.2 channels. Our data suggest that RAGE-dependent changes in Cav 3.2 expression and function may contribute to functional abnormalities in sensory neurons during early hyperglycemia. Disclosure J.T. Neapetung: None. V.A. Campanucci: None.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".