Protection of Neonatal Chicks Against a Lethal Challenge of Escherichia coli Using DNA Containing Cytosine-Phosphodiester-Guanine Motifs
Bibliographic record
Abstract
Oligodeoxynucleotides (ODN) containing cytosine-phosphodiester-guanine (CpG) motifs have been shown to be effective immunoprotective agents in murine models for a variety of viral, intracellular bacterial, and protozoan infections. We recently have shown that CpG ODN protects against extracellular bacterial infections in mature chickens. The objective of this study was to investigate the effect of CpG ODN on Escherichia coli septicemia in neonatal broiler chicks. Two-day-old chicks, or embryonated eggs that had been incubated for 18 or 19 days, received 50 microg CpG ODN. Three days after exposure to CpG ODN, a virulent isolate of E. coli was inoculated subcutaneously in the neck of each bird. Birds were examined for 7 days post-E. coli challenge and dinical, pathologic, and bacteriologic assessments were conducted. The control group of birds that received no CpG ODN had a survival rate of 0% to 20%. In contrast, groups that received CpG ODN, either by intramuscular or in ovo routes, had significantly higher survival rates (P < 0.0001). Bacterial counts in air sacs were significantly lower when birds or embryos were treated with CpG ODN as compared with controls. A dose as low as 10 microg of CpG ODN, administered intramuscularly, was able to protect birds significantly against E. coli challenge. Formulation of CpG ODN with 30% Emulsigen did not enhance the protection. This study demonstrates that CpG ODN has systemic protective effects in broiler chicks against E. coli infections. This is the first time that CpG ODN has been demonstrated to have an immunoprotective effect against a bacterial infection in chicks following in ovo delivery.
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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".