154 Virulence Potential of Antimicrobial Resistant Extraintestinal Pathogenic Escherichia coli from Poultry in a Caenorhabditis Elegans Model
Bibliographic record
Abstract
Abstract This study investigated virulence potential of poultry antimicrobial resistant extraintestinal pathogenic E. coli (ExPEC). A total of 46 E. coli isolates from poultry meat, feces, or humans were sequenced and identified as ExPEC. Based on their characteristics, eight of these ExPEC isolates were evaluated for their potentials using a Caenorhabditis elegans infection model. The life-span of C. elegans in response to these eight isolates was examined in three life-span experiments: 1) E. coli OP 50 (negative control), K88+ enterotoxigenic E. coli strain JG280 (positive control), and an ExPEC isolate from human urinal tract infection; 2) three ExPEC isolates from chicken and turkey retail meats; 3) four ExPEC isolates from chicken feces with different antimicrobial resistance (AMR) profiles or a various number of virulence genes (VGs). All 46 isolates belonged to 24 serotypes among which 6 were of serotype O25:H4 Sequence Type 131 (ST131). Interestingly, all ST 131 isolates from chicken or turkey retail meats clustered with a human UTI isolate belonging to the similar serotype and ST type. The types and numbers of AGRs and VGs varied among the eight selected isolates for C. elegans model. The human ExPEC induced a similar effect as the JG280 on reducing (P < 0.05) survival of C. elegans. Interestingly, chicken and turkey meat ExPEC isolates, caused similar negative impacts on the survival of worms as the human ExPEC. Additionally, fecal ExPEC isolates reduced (P < 0.05) the survival of C. elegans compared to OP50. However, the survival of C. elegans was not reduced with an increasing number of VGs and did not seem to be affected by AMR profiles. This study indicated the virulence potential of ExPEC isolates from retail poultry meat or feces. The relationship between specific AMR profiles and/or numbers of VGs with pathogenicity in these E. coli isolates deserves further investigations.
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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".