Combined PTEN Knockdown and Local Insulin in Chronic Experimental Diabetic Neuropathy
Bibliographic record
Abstract
Diabetic polyneuropathy (DPN) renders progressive sensory neurodegeneration linked to hyperglycemia and its associated metabolopathy. We hypothesized that there may be additive impacts of direct insulin signaling, independent of glycemia and phosphatase and tensin homolog deleted on chromosome 10 (PTEN) knockdown on neuropathy. Our targets for combined interventions were neurons and Schwann cells (SCs) in vitro and chronic type 1 DPN in mice. Insulin receptor expression was not altered by high-glucose conditions in neurons or SCs, and insulin promoted survival of neurons and proliferation of SCs in vitro. There were additive impacts between insulin signaling and PTEN knockdown in sensory neuron outgrowth and in axon myelination by SCs. In a chronic mouse model of experimental DPN, unilateral intra-hind paw injections of a PTEN siRNA and local insulin had additive impacts on correcting key features of chronic experimental DPN independent of glycemia, including motor axon conduction and thermal and mechanical sensory loss. Moreover, combined interventions improved sural and tibial nerve myelin thickness, hind paw epidermal innervation, and pAkt expression in dorsal root ganglion sensory neurons. We conclude that local PTEN inhibition or knockdown and insulin provide additive trophic support for sensory neurons and SCs while reversing key abnormalities of experimental DPN but without requiring metabolic correction. ARTICLE HIGHLIGHTS: Impaired growth and plasticity of neurons may contribute to chronic diabetic polyneuropathy. Both direct insulin signaling of neurons and neuron knockdown of the protein phosphatase and tensin homolog deleted on chromosome 10 (PTEN), a roadblock to neuronal regenerative growth, offer direct support of neurons. Direct insulin and PTEN knockdown using siRNA had additive impacts on neuron survival, Schwann cell proliferation, neuron outgrowth, and myelination in vitro. Combined local insulin and PTEN siRNA hind paw injections improved abnormalities in chronic experimental diabetic polyneuropathy, including sensory axon loss, independently of glycemia.
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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) | 0.001 | 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 | 0.001 |
| 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".