Identification and characterization of intestinal lactobacilli strains capable of degrading immunotoxic peptides present in gluten
Bibliographic record
Abstract
AIM: Identify and characterize bacteria from the proximal gastrointestinal tract of pigs capable of degrading immunogenic gluten peptides. METHODS AND RESULTS: Bacteria were cultured from the small intestine of pigs fed a 20% gluten diet and from an enrichment media with the 18-mer peptide LQLQPFPQPQLPYPQPQL. Isolates were screened for the production of specialized proteolytic enzymes and the ability to degrade and remove metastable peptides from α-gliadin (16-mer and 33-mer) and ω-gliadin (17-mer), with established roles in the aetiology of coeliac disease. Degradation was determined by ELISA and mass spectrometry (UHPLC-MS/MS in MRM mode), and hydrolysis fragments were characterized by LC-MS/MS. Four strains from the species Lactobacillus ruminis, Lactobacillus johnsonii, Lactobacillus amylovorus and Lactobacillus salivarius showed the highest peptide-degrading activities. Strains displayed different degradation rates and cleavage patterns that resulted in reduction but not complete removal of immunotoxic epitopes. CONCLUSIONS: We employed a unique enrichment process to select for bacteria adapted to the conditions of the proximal gastrointestinal tract with the ability to partially detoxify well-characterized peptides involved in coeliac disease. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provides a basis for the selection of Lactobacillus strains for probiotic applications aimed to reduce epitope-containing gluten peptides before reaching the epithelium of the small intestine of patients with coeliac disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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".