Effect of Different Cereal Peptides on the Development of Type 1 Diabetes is Associated with Their Anti‐inflammatory Ability: In Vitro and In Vivo Studies
Bibliographic record
Abstract
SCOPE: The aim of the study is to explore which properties of selected peptides will positively predict their antidiabetic activity in vitro and in vivo. METHODS AND RESULTS: ) for 10 weeks. CP and WP improve hyperglycemia homeostasis in streptozotocin-induced diabetic mice. Female nonobese diabetic (NOD) mice are treated with CP, WP, fractions C1 and C2 (isolated from CP), and W1 and W2 (isolated from WP) beginning at 3 weeks of age. CP, C2, and W2 delay the initiation of diabetes and decrease serum IL-6 levels in NOD mice. CP also reduces insulitis and increases the β-cell area in NOD mice. MIN-6 cells are incubated with the selected peptides. CP, C2, and W2 result in the reduced expression of LPS-induced IL-6 mRNA in MIN-6 cells. CP inhibits signaling pathways related to apoptosis and inflammation. The antioxidative, hydrophobic, and proliferative properties of the selected peptides are analyzed. The hypoglycemic effects of cereal peptides are not associated with their antioxidant activity, hydrophobicity, or proliferative ability. CONCLUSION: Findings suggest that the effect of cereal peptides on the development of T1D is associated with their anti-inflammatory ability.
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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 | 0.000 |
| 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".