Direct Insulin Signaling of Neurons Reverses Diabetic Neuropathy
Bibliographic record
Abstract
Diabetic polyneuropathy is the most common acquired diffuse disorder of the peripheral nervous system. It is generally assumed that insulin benefits human and experimental diabetic neuropathy indirectly by lowering glucose levels. Insulin also provides potent direct support of neurons and axons, and there is a possibility that abnormalities in direct insulin signaling on peripheral neurons relate to the development of this disorder. Here we report that direct neuronal (intrathecal) delivery of low doses of insulin (0.1-0.2 IU daily), insufficient to reduce glycemia or equimolar IGF-I but not intrathecal saline or subcutaneous insulin, improved and reversed slowing of motor and sensory conduction velocity in rats rendered diabetic using streptozotocin. Moreover, insulin and IGF-I similarly reversed atrophy in myelinated sensory axons in the sural nerve. That intrathecal insulin had the capability of signaling sensory neurons was confirmed by observing that fluorescein isothiocyanate-labeled insulin given intrathecally accessed and labeled individual lumbar dorsal root ganglion neurons. Moreover, we confirmed that such neurons express the insulin receptor, as previously suggested by Sugimoto et al. Finally, we sequestered intrathecal insulin in nondiabetic rats using an anti-insulin antibody. Conduction slowing and axonal atrophy resembling the changes in diabetes were generated by anti-insulin but not by an anti-rat albumin antibody infusion. Defective direct signaling of insulin on peripheral neurons through routes that include the cerebrospinal fluid may relate to the development of diabetic peripheral neuropathy.
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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 | 0.000 | 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 | 0.000 |
| 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".