71 The Use of Medium Chain Fatty Acids to Reduce Porcine Reproductive Respiratory Syndrome Virus Replication in MARC-145 Cells
Bibliographic record
Abstract
Abstract Porcine reproductive respiratory syndrome virus (PPRSV) costs the U.S. Swine Industry an estimated $664 million annually. The objective of this study was to evaluate the effect of medium chain fatty acids (MCFA) on PRRSV replication in M-145 cells. Two experiments were conducted to 1) evaluate the use of individual MCFAs (C6, C8, C10), and 2) evaluate MCFA combinations (C8/C10, C10/C12, C8/C10/C12) on viral replication of PRRSV. Experiment one used individual MCFAs at 7 concentrations from 1-1000µg/ml compared to a control. Experiment two used MCFA combinations at 6 different concentrations from 50–500µg/ml compared to a control. North American Type II P-129 PRRSV and European Type I Lelystad PRRSV strains were used. Viral replication was determined using FITC labeled IgG anti-PRRSV monoclonal antibody and TCID50 was calculated for each treatment concentration using 5 wells per treatment at each virus concentration with plates run in triplicate. Data were analyzed using Proc Mixed procedures of SAS. In experiment 1, C6 had no effect on replication of PRRSV in M145 cells. C8 induced a 3.02 and 2.02 log reduction in TCID50 for type I and type II virus strains, respectively (P < 0.01) at 1000µg/ml. C10 induced a 2.85 and 3.23 log reduction in TCID50 for type I and type II virus strains, respectively (P < 0.01) at 300µg/ml. In experiment 2, C8/C10 induced a 1.9 and 2.2 log reduction in TCID50 for type I and type II virus strains, respectively (P < 0.01) at 200µg/ml. C10/C12 resulted in a 3.37 and 2.14 log reduction in TCID50 at 200µg/ml for type I and type II virus strains, respectively (P < 0.01). C8/C10/C12 resulted in a 1.34 and 1.56 log reduction in TCID50 at 200µg/ml for type I and type II virus strains (P < 0.01), respectively.
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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 | 0.001 |
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".