Role of IL-10 in Resolution of Inflammation and Functional Recovery after Peripheral Nerve Injury
Bibliographic record
Abstract
A rapid proinflammatory response after peripheral nerve injury is required for clearance of tissue debris (Wallerian degeneration) and effective regeneration. Unlike the CNS, this response is rapidly terminated in peripheral nerves starting between 2 and 3 weeks after crush injury. We examined the expression and role of the anti-inflammatory cytokine IL-10 in the resolution of inflammation and regeneration after sciatic nerve crush injury in mice. IL-10 mRNA increased over the first 7 d after injury, whereas at the protein level, immunofluorescence labeling showed IL-10(+) cells increased almost 3-fold in the first 3 weeks, with macrophages being the major cell type expressing IL-10. The role of IL-10 in nerve injury was assessed using IL-10-null mice. Increased numbers of macrophages were found in the distal segment of IL-10-null mice at early (3 d) and late (14 and 21 d) time points, suggesting that IL-10 may play a role in controlling the early influx and the later efflux of macrophages out of the nerve. A chemokine/cytokine PCR array of the nerve 24 h after crush showed a 2- to 4-fold increase in the expression of 10 proinflammatory mediators in IL-10(-/-) mice. In addition, myelin phagocytosis in vitro by LPS stimulated bone-marrow-derived macrophages from IL-10-null mice failed to downregulate expression of proinflammatory chemokines/cytokines, suggesting that IL-10 is required for the myelin-phagocytosis-induced shift of macrophages from proinflammatory to anti-inflammatory/pro-repair phenotype. The failure to switch off inflammation in IL-10-null mice was accompanied by impaired axon regeneration and poor recovery of motor and sensory function. SIGNIFICANCE STATEMENT: An appropriately regulated inflammatory response after peripheral nerve injury is essential for axon regeneration and recovery. The aim of this study was to investigate the expression and role of the anti-inflammatory cytokine IL-10 in terminating inflammation after sciatic nerve crush injury and promoting regeneration. IL-10 is rapidly expressed by macrophages after crush injury. Its role was assessed using IL-10-null mice, which showed that IL-10 plays a role in controlling the early influx and the later efflux of macrophages out of the injured nerve, reduces the expression of proinflammatory chemokines and cytokines, and is required for myelin-phagocytosis-induced shift of macrophages from proinflammatory to anti-inflammatory. Furthermore, lack of IL-10 leads to impaired axon regeneration and poor recovery of motor and sensory function.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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".