Functional Comparison Of Immunoglobulin G Versus Oxidized Low-Density Lipoprotien Phagocytic Receptors In Human U937 Macrophages
Bibliographic record
Abstract
Phagocytic macrophages bind to solid oxidized low-density lipoprotein (oxLDL) deposited on the arterial intima, differentiate into foam cells and cause atherosclerosis - the largest cause of mortality in Canada. The mechanism of oxLDL internalization was examined in vitro using differentiated U937 cells exposed to latex microbeads coated with oxLDL or Immunoglobulin G (IgG). Bead internalization was quantified using immunofluorescent staining and laser confocal assays. IgG-mediated engulfment was more rapid than oxLDL-mediated engulfment indicating a qualitatively different internalization pathway. The filamentous actin inhibitors Cytochalasin D (10uM) and Latrunculin B (5uM) completely inhibited phagocytosis of both oxLDL-coated and IgG-coated beads. The Src and Spleen tyrosine kinase inhibitor 3,4-methylenedioxy-beta-nitrostyrene (20 uM), the phospholipase C inhibitor U73122 (5 uM), and the Janus kinase inhibitor AG 490 (25 uM) displayed significant inhibitory effects on the phagocytosis of both IgG and oxLDL microbeads. The specific isoforms of oxLDL and IgG receptor associated enzymes were determined by nano LC-ESI-MS/MS with an LTQ ion trap.
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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 | 0.000 |
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".