Pig Liver Esterase Hydrolysis of 2-Arachidonoglycerol Exacerbates PRRSV-Induced Inflammation via PI3K-Akt-NF-κB Pathway
Bibliographic record
Abstract
Inflammation is essential for host defense but requires strict regulation to prevent immunopathology. This study reveals how pig liver esterase (PLE) in alveolar macrophages (PAMs) modulates PRRSV-induced inflammation through endocannabinoid metabolism. We identified PLE6 as the dominant hydrolytically active subtype in PAMs. Functional studies demonstrated that PLE promotes pro-inflammatory cytokine expression during PRRSV infection, while its substrate 2-arachidonoylglycerol (2-AG) exerts anti-inflammatory effects. Animal experiments confirmed that PLE inhibition reduces pulmonary inflammation and tissue damage in PRRSV-infected piglets. Transcriptomic and mechanistic analyses revealed that PLE hydrolyzes 2-AG to activate the PI3K-Akt-NF-κB pathway, particularly through enhanced phosphorylation of Akt and p65. These findings establish a novel pathological mechanism where PLE-mediated 2-AG degradation disrupts endocannabinoid homeostasis, amplifying PRRSV-induced inflammation. The study provides therapeutic insights for targeting endocannabinoid hydrolysis to control inflammatory diseases.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".