High prevalence of abnormal gastrointestinal permeability in moderate-severe asthma
Bibliographic record
Abstract
PURPOSE: Abnormal gastrointestinal permeability (GIP) has been implicated in a number of diseases, including chronic intestinal inflammatory disorders such as Crohn's as well as non-intestinal immunologic diseases such as diabetes and multiple sclerosis. Although evidence in the literature demonstrates mucosal abnormalities of the digestive barrier in asthma, previous studies have assessed only colonic permeability, while ignoring the mucosal-associated lymphoid tissue (MALT) rich areas of the small intestine. Alterations in GIP may lead to increased entry of allergenic proteins from the gut lumen into the systemic circulation, thus priming and activating the adaptive immune system and leading to inappropriate allergen sensitization and/or deregulated extra-intestinal inflammation. This study examines GIP in adults with moderate to severe asthma. METHODS: Patients ingested a mixed-sugar solution and urine was collected. GIP was assayed using high-performance liquid chromatography. Demographics, atopy (assessed by allergen skin testing) and sputum cell counts were also assessed. RESULTS: Fourteen patients with moderate to severe asthma were studied, half of whom were found to have abnormal GIP. Abnormal GIP did not correlate with sputum cell counts and there was no apparent association between atopy and intestinal permeability. CONCLUSION: This study demonstrated our ability to identify abnormal GIP in the MALT-rich, immunogenic small intestine of patients with asthma. The absence of a correlation between airway inflammation and increased GIP suggests that these two parameters are not causally linked, but rather define distinct entities that could separately or sequentially be involved with the development and propagation of asthma over time.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| 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 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".