Comprehensive analysis of the bacterial content of stool from patients with chronic pouchitis, normal pouches, or familial adenomatous polyposis pouches
Bibliographic record
Abstract
BACKGROUND: Chronic pouchitis is an important long-term complication following ileal pouch-anal anastomosis for ulcerative colitis. Antibiotic administration reduces symptoms of pouchitis, indicating that bacteria have a role in pathogenesis. The aim of the research was to investigate the bacterial content of pouches using nucleic acid-based methods. METHODS: Stool microbiota of 17 patients with normal pouches (NP), 17 patients with pouchitis (CP) utilizing samples collected from each patient when antibiotic-treated (CP-on, asymptomatic) and when untreated (CP-off, symptomatic), and 14 familial adenomatous polyposis (FAP) patients were analyzed by high-throughput sequencing, fluorescence in situ hybridization technologies, and quantitative polymerase chain reaction (qPCR). RESULTS: Fluorescence in situ hybridization analysis revealed an expanded phylogenetic gap in NP and CP-off patients relative to FAP. Antibiotic treatment reduced the gap in CP stool. The phylogenetic gap of CP-off patients was due to members of the bacterial families Caulobacteriaceae, Sphingomonadaceae, Comamonadaceae, Peptostreptococcaceae, and Clostridiaceae. There was a greater diversity of phylotypes of Clostridiaceae in CP-off subjects. The phylogenetic gap of NP stool was enriched by Ruminococcaceae and Bifidobacteriaceae. CP stool microbiota had reduced diversity relative to NP and FAP stool due largely to a reduction in Lachnospiraceae/Insertae Sedis XIV/clostridial cluster IV groups. CONCLUSIONS: Bacterial groups within the expanded phylogenetic gap of pouch patients may have roles in the pathogenesis of pouchitis. Further research concerning the physiology of cultured members of these groups will be necessary to explain their specific roles. Members of the Lachnospiraceae, Incertae Sedis XIV, and clostridial cluster IV could be useful biomarkers of pouch health.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".