Impact of Acute Exercise on Natural Killer Cell Subset Distributions in Selected Mouse Tissues
Bibliographic record
Abstract
PURPOSE: Natural killer (NK) cells can be divided into several subsets, based on the expression intensity of cell surface markers. In mice, CD11b (Mac-1) expression is a marker of maturation and the tumor necrosis factor receptor superfamily member CD27 is a functional marker. Mouse Mac-1hi and CD27lo NK cells have similarities to human CD56dim NK cells and CD27hi NK cells are similar to human CD56bright NK cells (Hayakawa et al., Immunol Rev, 2006). However, little is known about distribution of these NK cell subsets between various tissues under stressful conditions. We thus examined the impact of acute exercise on mouse NK cell subset distributions in the blood, lungs, liver and spleen. METHODS: Male C57B/6 mice (7-8wk of age) were exercised on a treadmill for 30 min at 0% grade and a speed of 35 m/min. Animals were sacrificed without exercise (PRE, n=4), just after exercise (END, n=4), 30 min after exercise (POST 30, n=3) and 120 min after exercise (Post 120, n=3). Peripheral blood mononuclear cells (PBMCs) from the aforementioned tissues were isolated and were incubated with monoclonal antibodies. Flow cytometric analysis was performed to determine the cell subsets. Data were analyzed for statistical significance by using one-factor ANOVA. RESULTS: In blood, the collected number of PBMCs increased at END (p=0.0360) but returned to baseline at POST 30. The opposite pattern was observed in the spleen. There were no significant time-related changes in the absolute number of PBMCs in the lungs and liver. There were no changes in subset proportions (T, NK, NKT) in any tissues. However, altered proportions of NK cell subsets were observed in the liver. Thus, proportions of Mac-1lo CD27lo NK cells were significantly increased (p=0.0012) at POST 30 (p=0.0005) and POST 120 (p=0.0255), and those of Mac-1lo CD27hi NK cells were significantly elevated (p=0.0234) at POST 120 (p=0.0096). CONCLUSION: These results suggested that mouse lymphocyte were mobilized in both the blood and the spleen during acute exercise. In addition, exercise had delayed impact on NK cell subsets distribution in the liver. This study was supported by the Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, No. 21300257.
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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".