Effect of Acid-Suppressive Therapy on<i>Helicobactor pylori</i>Production of Interleukin-8 in Gastric Mucosa
Bibliographic record
Abstract
BACKGROUND: Recent studies have shown that acid-suppressive therapy increases the severity of Helicobacter pylori- associated gastritis in the corpus. PURPOSE: To evaluate interleukin (IL)-8 production in the gastric corpus mucosa before and during acid-suppressive therapy in H pylori-infected patients. PATIENTS AND METHODS: Ten patients with reflux esophagitis (five H pylori-positive and five H pylori-negative) were treated with omeprazole 20 mg. Serum gastrin concentrations, H pylori colonization density and mucosal IL-8 levels in the corpus were investigated at entry and two weeks after starting therapy. IL-8 levels were measured by ELISA. The organism density was determined, and scored according to area occupied by the bacterial colonies. The presence of H pylori was assessed by rapid urease testing and histological finding of gastric biopsy specimens. RESULTS: In H pylori-positive patients, concentrations of IL-8 during therapy significantly exceeded those before therapy (36.2+/-6. 8 versus 18.3+/-3.8 pg/mg protein; P<0.05) without altering H pylori density. In H pylori-negative patients, IL-8 levels were similar before and during therapy (6.1+/-2.7 versus 6.3+/-3.0 pg/mg protein). Concentrations of gastrin during therapy were significantly higher than those before therapy in all patients. CONCLUSIONS: The results suggest that acid suppression increases mucosal IL-8 levels in H pylori-infected patients with reflux esophagitis.
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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 | 0.000 | 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".