Inhibition of Allergic Inflammation by C-Terminal Peptides of the Prohormone Submandibular Rat 1 (SMR-1)
Bibliographic record
Abstract
BACKGROUND: The C-terminal of the prohormone submandibular rat 1 protein (SMR-1) contains several small peptides that reduce the severity of allergic inflammation and septic shock, and are part of the cervical sympathetic trunk-submandibular gland (SMG) axis of neuroendocrine immunology. These peptides include the heptapeptide, submandibular gland peptide-T and the tripeptide FEG. The D-isomeric form of this tripeptide, feG, which is active when administered orally, reduces LPS-provoked leukocyte rolling on mesenteric venules and influx of inflammatory cells into the peritoneum and intestinal muscle. METHODS: To investigate the mechanism of action of these peptides, the influx of inflammatory molecules into the airways, and several properties of human neutrophils were examined. RESULTS: Oral feG (1 mg/kg) inhibited the influx of inflammatory cells into the airways lumen of allergen challenged, sensitized Brown Norway rats. This inhibition occurred whether feG was given 30 min prior to 6 h post allergen challenge. Moreover, feG in picomolar to nanomolar concentrations inhibited PAF elicited chemotaxis by 30-40%, but the peptides did not affect superoxide production or phagocytosis by neutrophils. feG reduced PAF-stimulated expression of CD11b. CONCLUSIONS: feG may exert its anti-inflammatory effects by modulating the expression and functions of beta(2) integrins. The CST-SMG axis may be a major neuroendocrine pathway that modulates allergic asthma and other inflammatory responses.
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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 | 0.000 | 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".