Functional analysis of recombinant bovine CD14
Bibliographic record
Abstract
Studies in mice and humans indicate that membrane CD14 (mCD14) on the surface of monocytes, macrophages and polymorphonuclear neutrophils (PMN) mediate activation of these cells by lipopolysaccharide (LPS). Soluble CD14 (sCD14), in the circulation, binds to LPS and blocks LPS binding to mCD14. The role of bovine CD14 in cellular activation by LPS is undefined. Changes in CD18 expression on PMN and steady state levels of mRNA for tumor necrosis factor-alpha (TNF-alpha), interleukin-6 (IL-6) and IL-8, sensitive markers for activation of leukocytes by LPS, were used to measure functional activity of recombinant bovine sCD14 (rbosCD14). Whole blood (n=3 cows) treated with LPS alone caused CD18 expression on PMN to increase by 12% (P<0.02), whereas pre-incubation of LPS with 10 or 100 microg/mL of rbosCD14 completely inhibited increase in CD18 expression. After treating whole blood with LPS at concentrations of 1, 100 or 10(4) ng/mL for 2 h, level of mRNA for TNF-alpha, IL-6 and IL-8 in leukocytes and concentration of TNF-alpha in plasma increased. However, pre-incubation of LPS with rbosCD14 inhibited the increase in TNF-alpha mRNA, but not the increase in IL-6 and IL-8 mRNA. Excess amount of anti-human CD14 monoclonal antibody (MAB) also inhibited LPS-induced increase in TNF-alpha mRNA. Preincubation of LPS with rbosCD14, or rbosCD14 plus MAB did not affect LPS-induced increase in TNF-alpha in plasma. Collectively, results indicate that rbosCD14 inhibit LPS-induced increase in CD18 expression and TNF-alpha mRNA. However, secretion of TNF-alpha was not inhibited by pre-incubation of LPS with rbosCD14. The TNF-alpha in plasma may partially induce transcription of IL-6 and IL-8, which contribute to the CD14-independent increase in level of mRNA for IL-6 and IL 8.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".