Relationship among <i>MS4A8</i> expression, its variants, and the immune response in a porcine model of <i>Salmonella</i>
Bibliographic record
Abstract
Salmonella colonization often establishes carrier status in infected animals, which decreases their performance. Salmonella-carrying pigs shed large amounts of bacteria in their feces, and thus they have a negative economic impact on the swine industry. The MS4A8 gene (membrane-spanning 4-domains A8) was significantly activated, by up to 119-fold, in peripheral blood after Salmonella inoculation of pigs. The present study analyzed the correlation of peripheral blood expression level and a genetic variant of porcine MS4A8 with Salmonella-infection traits. The result indicated that MS4A8 expression levels correlated significantly with Salmonella shedding counts. Both the expression of MS4A8 and fecal shedding counts correlated with leukocytes, lymphocytes, monocytes, segmented neutrophils, and banded neutrophils. A novel single nucleotide polymorphism of porcine MS4A8 (nonsynonymous, Val > Ala) was associated with Salmonella shedding counts and average daily gain (ADG) of body weight. The TT genotype had higher fecal shedding counts, leukocyte counts, and lymphocyte counts than the TC and CC genotypes. The CC genotype had higher level of ADG than the TC and TT genotype (p < 0.05). Those results indicated that MS4A8 is intriguing and could be used as a prospective genetic marker for Salmonella susceptibility.
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 | 0.000 | 0.000 |
| 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".