Tracking Anti-cytolethal Distending Toxin B and Anti-vinculin Over Time and Their Roles in Symptoms
Bibliographic record
Abstract
BACKGROUND AND AIMS: Antibodies targeting bacterial cytolethal distending toxin subunit B (CdtB) and vinculin are diagnostic of post-infection irritable bowel syndrome (IBS). In this study, we explored the temporal behavior of anti-CdtB and anti-vinculin antibodies and potential relationships to IBS symptoms. The potential impacts of antibody reduction therapies were also assessed. METHODS: A retrospective chart review of 417 IBS patients who had been tested for anti-CdtB and anti-vinculin antibodies was performed. Anti-vinculin and anti-CdtB antibody levels, time to normalization of antibody levels, and IBS symptoms' burdens and changes were assessed. Use of antibody-depleting therapies (intravenous immunoglobulin [IVIG] or plasmapheresis exchange [PLEX]) vs. usual management was also recorded. RESULTS: 158 subjects (38.5%) were positive for either anti-CdtB or anti-vinculin. In subjects with multiple tests (total N = 38), normalization of anti-vinculin levels over time correlated with improvements in IBS symptoms (p = 0.020). Plasmapheresis (PLEX) or intravenous immunoglobulins (IVIG) treatments were associated with greater antibody normalization than usual management (p = 0.046). CONCLUSIONS: Anti-CdtB and anti-vinculin antibodies are common in post-infection IBS, and anti-vinculin levels may correlate with severity of IBS symptoms.
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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".