A200 CROHN’S-ASSOCIATED <i>E. COLI</i> WORSEN COLITIS SEVERITY IN MICE COLONIZED WITH DEFINED MICROBIOTA
Bibliographic record
Abstract
Abstract Background Bacterial infections have been postulated to drive the dysregulated inflammation found in inflammatory bowel disease (IBD). In particular, adherent-invasive Escherichia coli (AIEC) isolated from patients with IBD have pathobiont characteristics and have been implicated in IBD pathogenesis. Aims Our aim was to characterize and compare the level of intestinal inflammation and potential microbiota shifts induced by E. coli clinical isolates using a gnotobiotic mouse model of colitis. Methods Adult germ-free C57BL/6 mice were transferred to ISO positive cages in a gnotobiotic facility and colonized with altered Schaedler flora-like (ASF) microbiota and one of three clinical E. coli isolates: E. coli C0004 (n = 5), E. coli LF82 (n = 9), E. coli NRG857c (n = 6), or ASF alone (n = 6). Three weeks later, mice were treated for 5 days with low dose dextran sodium sulphate in drinking water (2%; DSS), followed by 2 days of water. Mice were monitored daily for clinical symptoms (weight, stool consistency, and occult blood). At sacrifice, colon tissue was collected for histological analysis. Cecum contents were cultured to determine bacterial load. Fecal samples were collected for 16S rRNA gene sequencing analysis before and after DSS treatment. Results All mice colonized with an E. coli isolate displayed significantly greater clinical and microscopic scores of colitis compared to ASF alone, but the severity was dependent on the colonized E. coli strain. E. coli NRG857c-colonized mice exhibited more severe symptoms (p < 0.001) two days earlier than mice colonized with other E. coli isolates. Mice colonized with E. coli LF82 or E. coli NRG857c had higher histological scores of colitis compared to mice colonized with E. coli C0004, which were also significantly greater than ASF alone (p < 0.0001). 16S rRNA gene sequencing revealed that ASF-alone-colonized mice lacked Proteobacteria. All E. coli-colonized mice had comparable bacterial loads, which were verified by 16S rRNA analysis. Following DSS, E. coli LF82 and E. coli NRG857c relative abundance remained stable, whereas the relative abundance of Roseburia/ASF 492 declined significantly in all E. coli colonized mice. Conclusions The presence of E. coli pathobionts in mice drive the severity of chemically induced colitis, with AIEC NRG857c inducing the greatest severity. This gnotobiotic mouse model enables us to control the severity of colitis in a well-defined microbiota that is dependent on the colonized E. coli isolate. Using this model, we will be able to assess therapeutic candidates that aim to treat colitis at varying stages of its disease progression. Funding Agencies CCC, CIHRNSERC
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".