Role of Submandibular Salivary Glands in LPS-Induced Lung Inflammation in Rats
Bibliographic record
Abstract
OBJECTIVE: Literature data suggest that rodent salivary glands can exert a neuroimmunomodulatory influence on distant inflammatory events. The release of regulatory factors by salivary glands appears to be influenced by time-dependent factors. In this paper we examined this possibility directly by studying the role of submandibular salivary glands in the temporal profile of lypopolysaccharide (LPS)-induced lung inflammation in rats. METHODS: The submandibular glands were removed (SMGx) or not (sham) and, 4 days later, the animals received an intravenous LPS injection (Salmonella abortus equi, 1 mg/kg). Cells in peripheral blood and in bronchoalveolar and bone marrow lavages were quantified after 90 min, 1, 3 and 5 days. Tumor necrosis factor (TNF) activity and corticosterone concentrations in serum were also determined. Baseline values were determined in a group of naïve rats. RESULTS: One day after the LPS injection, neutrophil counts in lungs and blood in both animal groups were elevated, but the SMGx rats presented a significantly lower response in comparison to the sham-operated controls. Five days after LPS treatment, however, SMGx rats had higher neutrophil counts in the lungs than did sham animals, but numbers of blood neutrophils were equal. Ninety minutes after LPS injection, a peak of serum TNF activity was detected in both groups compared with naïve levels. At this time point, TNF activity was about 135% higher in the serum of the SMGx group than in controls. Corticosterone levels of sham-operated controls rose only on the 5th day after LPS, whereas SMGx rats had significant peaks of corticosterone both on the 1st and the 5th day, but not on the 3rd day. CONCLUSION: Our data indicate that submandibular glands have a dual effect on inflammatory pulmonary response by differentially modulating the profile of lung neutrophil influx.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".