Cannabinoid receptor 1 inhibition improves the intestinal microcirculation in experimental endotoxemia
Bibliographic record
Abstract
INTRODUCTION: Impairment of the intestinal microcirculation in endotoxemia may cause a deterioration of the mucosal barrier function thus releasing intraluminal bacteria and their toxins into the systemic circulation. In clinical sepsis this mechanism may influence disease severity and outcome. The aim of the study was to investigate the impact of cannabinoid receptor 1 (CB1R) modulation within the intestinal microcirculation with regard to leukocyte activation and capillary perfusion, and on intestinal histology in experimental endotoxemia in rats. METHODS: Endotoxemia was induced by intravenous lipopolysaccharide (LPS) administration. We studied 5 groups of animals: controls (CON), LPS, LPS + CB1R agonist (ACEA, 2.5 mg/kg), LPS + CB1R antagonist (AM281, 2 mg/kg) and LPS + CB1R agonist (ACEA, 2.5 mg/kg) + CB1R antagonist (AM281, 2 mg/kg). Intestinal intravital microscopy (IVM) was performed two hours following LPS/placebo administration. Intestinal leukocyte adhesion in submucosal venules and functional capillary density (FCD) of the intestinal wall was quantified using IVM. Histological changes were assessed using a standardized injury score. RESULTS: After two hours of endotoxemia, we observed a significant increase of leukocyte adhesion in intestinal submucosal venules. Administration of the CB1R antagonist in endotoxemic animals significantly reduced the number of adhering leukocytes (p < 0.05). The CB1R agonist did not further increase leukocyte adhesion. FCD was significantly improved by the CB1R antagonist (p < 0.05). Administration of the CB1R agonist, ACEA, reversed the beneficial effect of the CB1R antagonist, AM281. CONCLUSIONS: CB1R inhibition significantly improved intestinal microcirculation by reducing leukocyte adhesion and increasing FCD in acute endotoxemia in rats. The data supports the involvement of the CB1R signaling in leukocyte activation during sepsis. Drugs targeting the CB1R may have therapeutic potential in systemic inflammation, such as sepsis.
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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 | 0.000 |
| 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 | 0.001 |
| 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".