Distinct bacterial colonization patterns of Escherichia coli subtypes associate with rheumatoid factor status in early inflammatory arthritis
Bibliographic record
Abstract
OBJECTIVES: The aetiology of RA is unknown; however, bacterial exposure, particularly to Escherichia coli, Proteus mirabilis and Klebsiella pneumoniae, has been linked to disease pathogenesis. The strongest association was observed for RF(+) RA. We compare colonization patterns of these bacteria, and the anti-bacterial antibody levels in early onset RF(+) and RF(-) inflammatory arthritis. METHODS: Bacteria isolated from stool and urine of early-stage RF(+) and RF(-) patients recruited to the Early Arthritis Registry were biochemically identified and genotyped. IgM and IgA anti-bacterial and RF antibodies were assessed by ELISA. RESULTS: Differences in the types of colonizing pathogenic E. coli were identified. RF(+) patients were more commonly colonized with phylogenetic Group D E. coli, whereas RF(-) patients were more commonly colonized with phylogenetic Group B2 E. coli and these individuals also had lower joint scores and inflammatory markers yet higher IgA anti-E. coli antibody responses. CONCLUSIONS: These studies link the type of colonizing bacteria in the gut and urine with the immune response (anti-bacterial and RF) in early-onset inflammatory arthritis and provide evidence for a role of the host-pathogen response in the aetiology of RF.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".