Bibliographic record
Abstract
C-reactive protein (CRP) has been suggested to play a role in the pathogenesis of atherosclerosis. Neutrophil respiratory burst and levels of CRP are increased during infection. The increase in the neutrophil respiratory burst may be due to factors that are elevated in infection, such as cytokines, tumor necrosis factor, platelet-activating factor, and CRP. The direct effect of CRP on the release of oxygen radicals by neutrophils is not known. This investigation was made to determine if CRP affects the generation of oxygen radicals by neutrophils and if this effect is blocked by antioxidants. The effect of various concentrations (1 to 200 microg/mL blood) of CRP on the generation of oxygen radicals by neutrophils was measured as luminol-dependent chemiluminescence (chemiluminescent activity) on a luminometer (Auto Lumat LB953, EG & G Berthold, Gaithersburg, MD). The unit of chemiluminescent activity is the relative light unit and was expressed as relative light unit/white blood cell (RLU/WBC). Chemiluminescent activity of blood without CRP was slightly higher than that of buffer with or without CRP. CRP markedly increased the chemiluminescent activity of blood. There was no significant change in the chemiluminescent activity of WBCs with 1 microg/mL of CRP. The chemiluminescent activity increased significantly with higher concentrations of CRP. The percent increases in the chemiluminescent activity with 2, 5, 10, 25, 50, 100 and 200 microg/mL of CRP were 45%, 72%, 50%, 70%, 52%, 67%, and 68% respectively. Antioxidants (superoxide dismutase, catalase, and dimethylthiourea) blocked CRP-induced oxygen radicals by WBCs. These results suggest that CRP increases the generation of oxygen radicals from the WBCs. CRP-induced atherosclerosis may be mediated through generation of oxygen radicals by neutrophils.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".