<i>In Vitro</i> and <i>In Vivo</i> Effects of an Immunomodulator Composed of <i>Escherichia Coli</i> Lipopolysaccharide and <i>Propionibacterium granulosum</i>‐Inactivated Cells in Pigs
Bibliographic record
Abstract
The in vitro cytokine profiles of porcine alveolar macrophages and peripheral blood mononuclear cells (PBMC) were examined by reverse transcription-polymerase chain reaction or enzyme-linked immunosorbent assay after stimulation with the immunomodulatory compound INMD [lipopolysaccharide (LPS) and Propionibacterium granulosum]. Expression of interleukin-1 (IL-1), IL-6, IL-12 and tumour necrosis factor-alpha (TNF-alpha), but not of IL-10, was detected in INMD-stimulated alveolar macrophages. Stimulated PBMC expressed IL-1, IL-2, IL-4, IL-6, IL-10 and IL-12 and secreted interferon-gamma (IFN-gamma). In all cases, the level of response was lower with INMD than with E. coli LPS alone, except for IFN-gamma, which was secreted in higher levels in INMD-stimulated cells. In a second experiment, the ex vivo effect of the administration of INMD was evaluated using the product as a coadjuvant of a live attenuated Aujeszky's disease virus (ADV) vaccine. For this purpose, 85 8-10-week-old crossbred pigs were assigned to two groups (group A = 43 and group B = 42) and vaccinated with ADV. Group B received, simultaneously with the first dose of vaccine, an intramuscular dose of INMD equivalent to 20 micrograms/ml LPS and 250 micrograms/ml P. granulosum, while group A was given sterile saline solution as a placebo. At the time of vaccination, 97.6% (42 of 43) and 95.2% (40 of 42) of animals of groups A and B, respectively, had anti-gB maternal antibodies. Of those animals, anti-gE ADV antibodies were detected in 11.6% of animals of group A (five of 43) and 19% of group B (eight of 42). All animals were boosted with ADV vaccine alone 4 weeks later. Pigs to which INMD was administered together with the vaccine showed higher primary humoral responses than the vaccine-alone animals (P < 0.005). However, after boosting significant differences disappeared (P > 0.05).
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".