The regenerative deficit of peripheral nerves in experimental diabetes: its extent, timing and possible mechanisms
Bibliographic record
Abstract
Diabetes mellitus is reported to impair peripheral nerve regeneration, but the extent, timing and selectivity of the deficit is unclear. We studied regeneration of motor and sensory fibres in mice with experimental diabetes induced using streptozotocin (STZ). The mouse model featured several advantages over its counterpart in rats given STZ, while exhibiting the expected slowing of motor conduction velocity. Serial studies addressed fibre regrowth for up to 10 weeks after both sciatic nerve crush injury and complete sciatic nerve transection. Following nerve crush, there was a delay in motor fibre reinnervation of tibial innervated interosseous muscles of diabetics, manifest as a slow recovery of the M-wave recorded from these muscles. Despite an apparent recovery in M-waves by 6 weeks, this was not accounted for by restitution of tibial axon numbers in diabetic mice. Histological studies distal to crush or transection identified substantial delays in the regrowth of the numbers and calibre of regenerating myelinated fibres in diabetics for up to 8-10 weeks. Moreover, this delay was observed in both the tibial (largely motor) and sural (non-motor) distal sciatic branches. There was an associated delay in macrophage invasion and their later resorption in the diabetic nerves, indicating that a potential mechanism of impaired regeneration might be abnormal macrophage participation in nerve repair. Our findings indicate that during nerve regeneration, diabetic motor and sensory fibres have substantial and persistent deficits in regrowth associated with abnormalities in macrophage participation.
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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".