Effects of dietary conjugated linoleic acid on cytotoxicity of peripheral blood lymphocytes in piglets
Bibliographic record
Abstract
The aim of this study was to investigate the effects of dietary conjugated linoleic acid (CLA) on the cytotoxicity of peripheral blood lymphocytes in piglets. A total of forty 21-d-old Duroc × Large White × Landrace weaned piglets were randomly allocated into two treatment groups and fed with control diet or 2% CLA diet for 6 weeks. Dietary CLA significantly increased the number of peripheral blood CD8+ T lymphocytes (P < 0.05). Compared with the control group, cytotoxicity, perforin, and granzyme B mRNA expression of peripheral blood lymphocytes in piglets from the CLA-supplementation group increased by 29.98% (P < 0.01), 32.87% (P < 0.01), and 43.36% (P < 0.05), respectively. The piglets on the CLA diet had higher mRNA expression of Lck and Fyn in peripheral blood lymphocytes (P < 0.05). The content of C16:0 significantly increased in piglets from the dietary CLA-supplementation group (P < 0.05), whereas the content of C18:1 significantly decreased (P < 0.05). The CLA content of peripheral blood lymphocytes in piglets in the CLA diet group ranged up to 0.24% (P < 0.01). These results suggest that dietary CLA enhanced cytotoxicity of peripheral blood lymphocytes perhaps through changing its fatty acid composition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".