Analysis of the immunomodulatory properties of mycobacterium cell wall fraction on the cytokine production of peripheral blood mononuclear cells of healthy dogs
Bibliographic record
Abstract
BACKGROUND: Mycobacterium cell wall fraction (MCWF) is derived from nonpathogenic Mycobacterium phlei and is used as an immunomodulatory compound in clinical practice, yet its mode-of-action requires further research. OBJECTIVE: To evaluate the host response to MCWF in canine peripheral blood mononuclear cells (PBMCs) by using enzyme-linked immunosorbent assays (ELISA) and quantitative reverse transcription (qRT)-PCR for assessment of cytokines. ANIMALS: Eight healthy Labrador retrievers. MATERIALS AND METHODS: PBMCs were isolated from whole blood using density centrifugation. The cells were cultured with different concentrations of MCWF or a potent stimulator of cytokine production, phorbol 12-myristate 13-acetate/ionomycin, or left in cell culture medium for 24, 48 and 72 h. Cytokines were measured by ELISA for interleukin (IL)-4, IL-10 and interferon-gamma (IFN-γ), and by qRT-PCR for IL-4, IL-10, IL-13, IFN-γ, tumour necrosis factor alpha (TNF-α) and transforming growth factor-beta. RESULTS: A significant increase of IL-10 messenger ribonucleic acid (mRNA) was detected at all time points for all concentrations of MCWF (p < 0.05). Protein analysis reflected this finding, with a maximum IL-10 concentration of 300.6 ± 38.3 μg/mL. Compared to the negative control, post-stimulation elevation of IFN-γ mRNA was noted at 24 h with all concentrations of MCWF (p < 0.01), and TNF-α mRNA was increased for 0.5 μg/dL MCWF only at 72 h (p < 0.05). CONCLUSIONS AND CLINICAL RELEVANCE: MCWF stimulation of PBMCs results in the elevation of both proinflammatory and regulatory cytokine mRNA. Further research into the role of MCWF as a systemically administered regulatory immunomodulator or adjuvant to allergen-specific immunotherapy should be considered.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".