Effect of 3′,5′-cyclic diguanylic acid in a broiler Clostridium perfringens infection model
Bibliographic record
Abstract
In an effort to explore strategies to control Clostridium perfringens, we investigated the synergistic effect of a ubiquitous bacterial second messenger 3',5'-cyclic diguanylic acid (c-di-GMP) with penicillin G in a broiler challenge model. All chicks were inoculated in the crop by gavage on d 14, 15, and 16 with a mixture of 4 C. perfringens strains. Birds were treated with saline (control group) or 20 nmol of c-di-GMP by gavage or intramuscularly (IM) on d 24, all in conjunction with penicillin G in water for 5 d. Weekly samplings of ceca and ileum were performed on d 21 to 35 for C. perfringens and Lactobacillus enumeration. On d 35 of age, the IM treatment significantly (P < 0.05) reduced C. perfringens in the ceca, suggesting possible synergistic activity between penicillin G and c-di-GMP against C. perfringens in broiler ceca. Moreover, analysis of ceca DNA for the presence of a series of C. perfringens virulence genes showed a prevalence of 30% for the Clostridium perfringens alpha-toxin gene (cpa) from d 21 to 35 in the IM-treated group, whereas the occurrence of the cpa gene increased from 10 to 60% in the other 2 groups (control and gavage) from d 21 to 35. Detection of β-lactamase genes (blaCMY-2, blaSHV, and blaTEM) indicative of gram-negative bacteria in the same samples from d 21 to 35 did not show significant treatment effects. Amplified fragment-length polymorphism showed a predominant 92% similarity between the ceca of 21-d-old control birds and the 35-d-old IM-treated c-di-GMP group. This suggests that c-di-GMP IM treatment might be effective at restoring the normal microflora of the host on d 35 after being challenged by C. perfringens. Our results suggest that c-di-GMP can reduce the colonization of C. perfringens in the gut without increasing the selection pressure for some β-lactamase genes or altering the commensal bacterial population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".