Mannan-binding lectin deficiency results in unusual antibody production and excessive experimental colitis in response to mannose-expressing mild gut pathogens
Bibliographic record
Abstract
BACKGROUND: In Crohn's disease (CD) the deficiency of mannan-binding lectin (MBL) is associated with an increased prevalence of anti-Saccharomyces cerevisiae antibodies (ASCA) and with complicated phenotypes of the disease. However, the role of MBL in intestinal inflammation is currently unclear. A study was undertaken to analyse local MBL expression in human intestine and the consequences of MBL deficiency in experimental colitis and yeast infection. METHODS: ASCA were measured by ELISA. MBL was assessed by ELISA and quantitative PCR. Wild type and MBL-deficient mice were administered dextran sulfate sodium (DSS) in the presence or absence of viable Candida albicans or adhesive invasive Escherichia coli (AIEC). Mice were infected with C albicans to assess generation of anti-yeast mannan antibodies. RESULTS: MBL expression was virtually undetectable in the intestinal mucosa of both healthy controls and patients with CD, irrespective of macroscopic inflammation, indicating that systemic MBL must be responsible for the reduced risk of complicated disease in MBL-competent patients with CD. MBL-deficient mice showed enhanced DSS colitis upon oral challenge with C albicans or AIEC. C albicans could be recovered from the kidneys of colitic/C albicans-fed MBL-deficient, but not wild type mice. Infection with C albicans induced high titres of anti-C albicans mannan IgM and IgG in MBL-deficient mice but only a modest and transient IgM response with no class switch to IgG in wild type mice. Cross-reactive ASCA IgM continuously increased in MBL-deficient mice but rapidly declined after transient induction in wild type mice. In MBL-deficient mice, increased C albicans dissemination correlated with reduced early retention in the circulation. CONCLUSIONS: These results suggest that systemic MBL helps to prevent excessive inflammation upon access of normally mild pathogens across the damaged intestinal epithelium. Lack of this innate defence promotes antibody responses with cross-reactive potential against common mannan epitopes. These interpretations are compatible with the increased prevalence of ASCA and complicated disease phenotypes in MBL-deficient patients with CD.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".