Development of a subunit vaccine and Diagnostic assays against porcine circovirus type 2
Bibliographic record
Abstract
Porcine circovirus type 2 (PCV2) was first recognized as a causative agent of porcine circovirus associated diseases (PCVAD) in Canada in 1991. Subsequently, PMWS has become a major economic problem to the swine industry worldwide including Thailand. Importantly, virological, serological study and also development of vaccine and serological assay are useful for prevention and control of PCVAD. Genetic characterizations of PCV2 isolates from Thai pigs with PCVAD during 2007-2010 revealed that all recent Thai PCV2 sequences belong to genotype 1 (PCV2b) and subgroup 1A/B was predominated in this study. Later, an indirect ELISA was developed and validated for PCV2 antibody detection using a recombinant truncated capsid (rntCap) protein from PCV2b genotype expressed in E. coli system. Swine serum samples were obtained and tested using the indirect ELISA comparing with IPMA as a gold standard for serological assay. The results demonstrated that the diagnostic sensitivity, specificity and accuracy of a developed indirect ELISA are 98.33%, 93.33% and 96.67%, respectively. Finally, the efficacy of a developed subunit PCV2b vaccine using a rntCap protein expressed in E. coli was determined in PCVAD-affected farm. The results indicated that vaccination by a developed subunit PCV2b vaccine could induce specific antibody and partially control PCV2 viral load in serum suggesting that using higher protein concentration dose and/or using an appropriate adjuvant could enhance the better efficacy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| 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".