Bibliographic record
Abstract
Abstract Sepsis-associated lung injury is one of major comorbidities in sepsis, largely responsible for its mortality. Lack of specific therapeutic for lung injury is an urgent issue to be addressed. We found that volatile anesthetic isoflurane attenuated lung injury associated with experimental polymicrobial abdominal sepsis. This was associated with a reduction in the number of recruited neutrophils in the lung and bronchoalveolar space. Furthermore, isoflurane attenuated neutrophil chemotaxis induced by major chemoattractant leukotriene B4 (LTB4), not by C5a. Although LTB4 level did not differ by isoflurane exposure, isoflurane was shown to interact with LTB4’s neutrophil receptor BLT1 in silico. The interaction site was predicted to overlap with BLT1 antagonist BIIL260 binding site, suggesting isoflurane as a BLT1 antagonist. Five biotinylated compounds with a range of spacer lengths were developed and subjected to calcium mobilization test using CHO-BLT1 cells to determine their property as BLT1 antagonist. Two compounds showed adequate inhibition and we performed the competition assay for BLT1 between the compound and isoflurane. Isoflurane significantly competed with the BIIL260 biotinylated compound, indicating that isofluane bound to the BIIL260 binding site on BLT1. Isoflurane is considered as an alternative sedative in Europe and Canada, and this result could support the potential use of isoflurane as an ICU sedative in lung injury setting. Supported by GM118277
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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".