Vancomycin and to lesser extent tobramycin have vasomodulatory effects in experimental endotoxemia in the rat
Bibliographic record
Abstract
BACKGROUND: Antibiotic treatment represents a key component of therapy for severe sepsis. Apart from their antimicrobial efficacy, when choosing antibiotics in septic conditions, vasomodulatory effects should also be taken into account. OBJECTIVES: Aim of this study was to evaluate the vasomodulatory effects of vancomycin (VANCO) and tobramycin (TOBRA) in experimental endotoxemia by using intravital microscopy (IVM) of the intestinal microcirculation and measurements of the arterial contractility in vitro. METHODS: Endotoxemia was induced in rats by intravenous administration of lipopolysaccharide (LPS). VANCO or TOBRA were given immediately after LPS administration. Intestinal functional capillary density (FCD) and leukocyte-endothelial interactions were evaluated by IVM 2 hrs after LPS challenge. The effects of the antibiotics on the motility of aortal rings were examined in vitro. RESULTS: Leukocyte adhesion was significantly potentiated in the LPS group and in both antibiotic groups as compared to control group. Roller flow in V1 and V3 venules increased in antibiotic treated groups as compared to untreated LPS animals. FCD in the longitudinal muscular and mucosal layers decreased significantly in either endotoxemia or antibiotics treated rats. However, administration of VANCO ameliorated FCD in endotoxemic rats. Both antibiotics, in higher concentration, produced moderate relaxation of the arterial smooth muscle. CONCLUSION: Tobramycin and vancomycin did not affect the interaction between leukocytes and microvascular endothelium while vancomycin increased functional capillary density in the intestinal wall. Both antibiotics had direct relaxing effects on the vascular smooth muscle. Therefore, vancomycin and to lesser extent tobramycin may influence vascular tone and thereby affect microcirculation in endotoxemia and sepsis.
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 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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".