Lactoferrin Effect on Lymphocyte Cytokines and Apoptosis Is Independent of Exercise
Bibliographic record
Abstract
BACKGROUND: Strenuous exercise increases apoptosis of intestinal lymphocytes (IL). Bovine lactoferrin (bLf), a protein found in milk products, affects lymphocyte apoptosis and the expression of TH1 and TH2 cytokines. OBJECTIVE: The purpose was to determine whether bLf affects apoptosis and TH1 (tumor necrosis factor alpha) and TH2 (interleukin-10) cytokine expression in IL of mice given strenuous exercise. METHODS: : Female C57BL/6 mice (n = 89), given three bouts of treadmill exercise, were killed either immediately, 24 h after the last bout, or before initiation of exercise; within exercise conditions, mice were fed control (0% bLf) or bLf-supplemented (2% bLf) diet for 12 d until sacrifice. IL were enumerated, and apoptosis and cytokine expression were determined by Western blot analysis; markers of stress (corticosterone and iso-prostanes) were measured in the plasma by radioimmunoassay and direct immunoassay. RESULTS: Exercise increased IL loss (P < 0.05) and the expression of caspase 3 (P < 0.001), heat shock protein 70 (P < 0.01), and interleukin-10 (P < 0.05) in mouse IL; bLf did not alter these responses. However, bLf reduced tumor necrosis factor alpha expression in mouse IL (P < 0.05), possibly through decreased nuclear factor kappaB expression (P < 0.05) in the supplemented group. CONCLUSIONS: Dietary bLf does not affect IL apoptosis after exercise but may confer intestinal protection through changes in cytokine expression, independent of exercise.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".