Capacity to adhere to and invade human epithelial cells, as related to the presence of virulence genes in, motility of, and biofilm formation of <i>Campylobacter jejuni</i> strains isolated from chicken and cattle
Bibliographic record
Abstract
Campylobacter jejuni is a zoonotic pathogen transmitted through the "farm to fork" route. Outbreaks are generally associated with the consumption of chicken meat; however, dairy cows, birds, wild and domestic food animals, and pets are other important sources. Currently, there are not enough data comparing the virulence of strains isolated from these reservoirs. In this study, we compared C. jejuni strains isolated from broiler chickens and dairy cattle by determining their ability to adhere to and invade in vitro human colonic epithelial cells in the T84 cell line with their motility, formation of biofilms, and presence of eight virulence genes. A Wilcoxon Rank Sum test was performed to establish the relationship between presence of the studied genes and cellular invasion and adhesion, as well as differences between the animal species of origin of the isolate. A Spearman correlation was performed to assess the relationship between invasion and motility, along with invasion and biofilm generation. The virB11 gene was positively associated with the adherence capacity of the strains (mean difference = 0.21, p = 0.006), and strains isolated from chickens showed a significant difference for adherence compared with strains isolated from cattle (p = 0.0001). Our results indicate that strains of C. jejuni have a difference in their adherence capacity depending on the animal reservoir from which they came, with chicken isolates displaying higher virulence than dairy cattle isolates.
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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) | 0.002 | 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".