The CCL28 levels are elevated in the serum of patients with irritable bowel syndrome and associated with the clinical symptoms.
Bibliographic record
Abstract
BACKGROUND: Inflammation and inflammatory mediators have been proposed to be key players in the pathobiology of Irritable bowel syndrome (IBS. The chemokine CCL28 plays a role in the trafficking of inflammatory cells into mucosal tissues. However, its levels in patients with IBS has not been yet elucidated. METHOD: In this study, the levels of CCL28 were measured in the serum of 41 patients with IBS and 41 age- and gender-matched normal individuals using Elisa. Then, the receiver operating characteristic (ROC) curve was conducted to assess the diagnostic value of CCL28. RESULTS: Our data showed that the levels of CCL28 are significantly elevated in patients with IBS compared to the control donors. Moreover, we observed that the level of CCL28 is associated with many clinical symptoms such as constipation, diarrhea, and abdominal pain. The area under the ROC curve was 0.71 (95% confidential interval, 0.598-0.823), the sensitivity and specificity of CCL28 for the diagnosis of IBS patients were 68.3% and 70.7%, respectively with a cut off of 278.9 ng/mL. CONCLUSIONS: We demonstrated that CCL28 is elevated in patients with IBS and correlates with clinical findings, indicating that CCL28 might be an appropriate biomarker for the diagnosis of IBS; however, further studies are necessary.
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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 | 0.002 |
| 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 | 0.000 | 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".