Protection of Chickens against<i>Escherichia coli</i>Infections by DNA Containing CpG Motifs
Bibliographic record
Abstract
Synthetic oligodeoxynucleotides (ODN) containing CpG motifs (CpG-ODN) have been shown to be effective immunoprotective agents in murine models for a variety of viral, intracellular bacterial, and protozoan infections. Until now, the use of CpG-ODN to protect against extracellular bacterial infections has not been reported. The objective of this study was to investigate the effect of CpG-ODN against cellulitis and colibacillosis in broiler chickens, using a well-established model. At 22 days of age, birds received CpG-ODN by either the subcutaneous or intramuscular route. Three days later, a virulent isolate of Escherichia coli was applied to a scratch site on the caudal abdominal skin. Birds were examined for 10 days after the E. coli challenge, and pathological and bacteriological assessments were conducted on all birds. The control group of birds receiving no CpG-ODN((2007)) had a survival rate of 15%. In contrast, groups that received CpG-ODN((2007)), by either subcutaneous or intramuscular injection, had significantly higher survival rates (P < 0.0001). Furthermore, the size of the cellulitis lesion was significantly smaller in groups that received CpG-ODN((2007)) by the subcutaneous route (P < 0.01). A dose of as little as 3.16 micro g of CpG-ODN((2007)), delivered 3 days prior to challenge by either the subcutaneous or intramuscular route, significantly protected birds against E. coli infection (P < 0.01). This study demonstrates that CpG-ODN((2007)) has both local and systemic protective effects in broiler chickens. This is the first time that CpG-ODN((2007)) has been demonstrated to have an immunoprotective effect against an extracellular bacterial infection in any food animal species.
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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".