Neutrophils Invade Atrophied Skeletal Muscles Without Causing Muscle Dysfunction Unless They Are Stimulated With LPS.
Bibliographic record
Abstract
Important muscle atrophy and loss of force are observed following unloading and early reloading periods, with subsequent muscle recovery within 14 to 28 d. The reloading period is associated with neutrophil (PMN) and macrophage infiltration. PMNs phagocyte necrotic debris and release various cytokines and oxidative factors. Although PMNs can induce secondary damage in different pathologies, their roles in muscle dysfunction and regrowth following unloading and reloading periods have never been fully investigated. PURPOSE: To determine the contribution of PMNs to muscle injury, dysfunction and regrowth in an unloading and reloading model. METHODS: Mice were submitted to 10 d of hindlimb unloading followed by reloading periods of 1, 3 or 14 d. They were intraperitoneally injected with 50 μL (0.025 mg) of rat anti-PMN (anti-Ly6G/Ly6C) or placebo 1 d before and after reloading. This dose was sufficient to deplete 95 % of circulating PMNs. Ambulatory mice were used as control. Soleus muscles were incubated in a physiological solution for measurements of contractile properties. In a second set of experiments, solei were incubated in vitro with lipopolysaccharide (LPS, 100 μg/mL) to activate PMNs. Contractile properties were obtained every hour for 6 h and muscles were subsequently incubated in 1 % procion orange at 4 °C to assess muscle damage. Comparisons between groups were performed with a one-way ANOVA followed by a Fisher's a posteriori test. RESULTS: Our findings show that PMN depletion neither affects the loss of muscle force nor the time of recovery. Interestingly, reloaded soleus muscles that contain a high PMN density showed a 20 % greater loss of force when compared to reloaded solei depleted in PMNs following LPS incubation. These significant differences appear after 4 h of incubation in LPS (p<0.05). Procion orange staining also confirms that presence of PMNs in atrophied muscles induces a 3-fold increase in muscle membrane damage following LPS stimulation (26 % vs 9 %, p<0.05). CONCLUSIONS: Together, these results show that secondary damage following PMN infiltration is strongly limited during muscle atrophy and regrowth. However, when activated by other stimuli, such as LPS, PMNs can potentially damage skeletal muscle. Supported by the Canadian Space Agency and Canadian Institutes of Health Research.
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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) | 0.003 | 0.001 |
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".