Actinobacillus pleuropneumoniae culture supernatant antiviral effect against porcine reproductive and respiratory syndrome virus occurs prior to the viral genome replication and transcription through actin depolymerization
Bibliographic record
Abstract
PURPOSE: Recently, the strong antiviral activity of an Actinobacillus pleuropneumoniae (App) culture supernatant against porcine reproductive and respiratory syndrome virus (PRRSV) was discovered. Following this finding, the objective of the present study was to understand how the App culture supernatant inhibits PRRSV replication in its natural targeted host cells, i.e. porcine alveolar macrophages (PAMs). METHODOLOGY: Several assays were conducted with App culture supernatant-treated PRRSV-infected cell lines, such as PAM, St-Jude porcine lung and MARC-145 cells. RT-qPCR assays were used to determine the expression levels of type I and II IFN mRNAs, viral genomic (gRNA) and sub-genomic RNAs (sgRNAs). Proteomic, Western blot and immunofluorescence assays were conducted to determine the involvement of actin filaments in the App culture supernatant antiviral effect.Results/Key findings. Type I and II IFN mRNA expressions were not upregulated by the App culture supernatant. Time courses of gRNA and sgRNA expression levels demonstrated that the App culture supernatant inhibits PRRSV infection before the first viral transcription cycle. Western blot experiments confirmed an increase in the expression of cofilin (actin cytoskeleton dynamics regulator) and immunofluorescence also demonstrated a significant decrease of actin filaments in App culture supernatant-treated PRRSV-infected PAM cells. App culture supernatant antiviral activity was also demonstrated against other PRRSV strains of genotypes I and II. CONCLUSION: App culture supernatant antiviral effect against PRRSV takes place early during PRRSV infection. Results suggest that App culture supernatant antiviral effect may take place via the activation of cofilin, which induces actin depolymerization and subsequently, probably affects PRRSV endocytosis. Other experiments are needed to fully validate this latest hypothesis.
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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".