Immunization of Broiler Chickens Against Clostridium perfringens–Induced Necrotic Enteritis Using Purified Recombinant Immunogenic Proteins
Bibliographic record
Abstract
This study identified and assessed secreted proteins of Clostridium perfringens additional to those previously described for their ability to protect broiler chickens against necrotic enteritis (NE). Secreted proteins of virulent and avirulent C. perfringens were electrophoretically separated and reacted with serum of chickens immune to NE. Three immunoreactive protein bands unique to the virulent C. perfringens were identified by mass spectrometry as the toxin C. perfringens large cytotoxin (TpeL), endo-beta-N-acetylglucosaminidase (Naglu), and phosphoglyceromutase (Pgm). The genes encoding Naglu and Pgm proteins were cloned, and their gene products were purified as histidine-tagged recombinant proteins from Escherichia coli and used in immunizing chickens. Immunized and nonimmunized control broiler chickens were then challenged with two different strains (CP1, CP4) of C. perfringens and assessed for the development of NE. Of the two immunogens, Pgm immunization showed significant protection of broiler chickens against experimental NE, although protection reduced as challenge severity increased. However, birds immunized with Naglu were protected from challenge only with strain CP4. Birds immunized with these proteins had antigen-specific antibodies when tested in an enzyme-linked immunosorbent assay. In conclusion, this study demonstrated the partial efficacy of additional secreted proteins in immunity of broiler chickens to NE. The study also showed that there may be differences in the protective ability of immunogens depending on the infecting C. perfringens strain.
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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) | 0.000 | 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".