Regulatory functional role of NLRP3 inflammasome during <i>Mycoplasma hyopneumoniae</i> infection in swine
Bibliographic record
Abstract
Mycoplasma hyopneumoniae causes enzootic pneumonia, a highly contagious respiratory disease in swine that causes significant economic losses worldwide. It is unknown whether the nucleotide oligomerization domain-like receptor (NLR) family pyrin domain containing 3 (NLRP3) inflammasome regulates the immune response in swine during M. hyopneumoniae infection. The current study utilized an in vivo swine model of M. hyopneumoniae infection to investigate the regulatory functional role of the NLRP3 inflammasome during M. hyopneumoniae infection. Notable histopathological alterations were observed in M. hyopneumoniae-infected swine tissues, which were associated with an inflammatory response and disease progression. Swine M. hyopneumoniae infection was associated with an increase in the expression of the NLRP3 inflammasome, which stimulated pro-inflammatory cytokines such as tumor necrosis factor-alpha, interleukin 18, and interleukin 1 beta (IL-1β). The impact of the NLRP3 inhibitor, MCC950 on NLRP3 and pro-inflammatory cytokines in M. hyopneumoniae-infected swine was examined to investigate the relationship between the NLRP3 inflammasome and M. hyopneumoniae infection. Taken together, our findings provide strong evidence that the NLRP3 inflammasome plays a critical regulatory functional role in M. hyopneumoniae infection in swine.
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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 | 0.000 |
| 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".