Pulmonary intravascular monocytes/macrophages in a rat model of sepsis
Bibliographic record
Abstract
Sepsis induces recruitment of neutrophils and monocytes/macrophages in the lung and enhances host susceptibility to a secondary bacterial challenge. The phenotype and functions of recruited pulmonary intravascular monocytes/macrophages (PIMMs) in sepsis remain largely unknown. Therefore, we characterized PIMM recruitment and functions in a rat model of E. coli-induced sepsis. Male Sprague-Dawley rats were injected intraperitoneally with saline (n=10) and 48 hr after the saline treatment treated intravenously with either saline (n=5) or E. coli lipopolysachharide (LPS; 1.5 microg/kg body weight; n=5). A second group of 10 rats was infected intraperitoneally with E. coli (2x10(7) CFU/100 g) followed by intravenous injection of either saline (n=5) or LPS (n=5) 48 hr after the first treatment. Rats were euthanized at 6 hr after LPS treatment. Immunocytochemistry showed more PIMMs stained with ED-1 antibody, which specifically reacts with rat monocytes/macrophages, in rats infected with E. coli compared with the controls (P<0.05). LPS treatment of E. coli-infected rats increased the numbers of PIMMs (P<0.05) and induced more inflammation compared to other groups. Immuno-electron microscopy localized TNF-alpha, IL-10, and TGF-beta2 in recruited PIMMs in rats challenged with both E. coli and LPS. ELISA on lung homogenates showed higher concentrations of TNF-alpha, IL-10, and TGF-beta2 in rats treated with both E. coli and LPS compared with those treated with only LPS or E. coli (P<0.05). We conclude that ED-1-positive PIMMs are recruited in this model of sepsis and contain TNF-alpha, IL-10, and TGF-beta2.
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 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 | 0.001 |
| 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".