Differential Changes with T Cell Subsets And Cytokine Production In Response To Endurance Exercise In Trained And Untrained Women
Bibliographic record
Abstract
PURPOSE: To investigate T cell immunity following 60 minutes of endurance exercise in trained and untrained women. METHODS: Compared 3 exercise conditions: 1) untrained females (UT) cycled at an intensity = 20 w below their ventilatory threshold (VT; ∼90 w); 2) trained females (TE1) cycled at the same PO as the UT (∼90 w); and 3) the same trained females cycled at 20 w below their own VT (TE2; ∼155 w). Blood samples were taken at rest, immediately after exercise, and following 2 hours of recovery. RESULTS: Proportion of CD3+CD4+ (Th) cells numbers were higher in the TE2 group compared to the UT group and had increased from T60 to T1 80 in the TE1 and TE2 exercise conditions (p < 0.05). The proportion CRTH2+ (Th2) cells decreased at T60 from T0 in the TE1 condition, but not in the UT condition. IL-12 and IFN-γ concentrations increased following TE1 and TE2 conditions (p < 0.05). IL-2 increased in the TE2 and decreased in the UT condition (p < 0.05). IL-10 concentrations were lower in the TE1 compared to TE2 (p < 0.05). CONCLUSIONS: The findings indicate that T cell immunity, in particular Th1 immunity, was more pronounced in the trained women. Th2 immunity was favoured in the untrained women following endurance exercise. Therefore, T cell immunity is altered in females following acute endurance exercise and is influenced by fitness level.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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".