Quantitation of CD36 (platelet glycoprotein IV) expression on platelets and monocytes by flow cytometry: Application to the study of <i>Plasmodium falciparum</i> malaria
Bibliographic record
Abstract
BACKGROUND: The expression of CD36 (platelet glycoprotein IV) is variable among different individuals and cannot be determined by gene analysis. Previous studies suggest that CD36 expression plays a central role in the pathophysiology of Plasmodium falciparum malaria, a disease of global significance. METHODS: We developed a flow cytometric method to quantitatively measure CD36 on monocytes and platelets from whole blood using antibodies to CD36, CD14, and CD61 directly conjugated to different fluorochromes. Commercially available fluorescent beads were used to quantify CD36 expression. RESULTS: The assay was successfully run at three different centers. African-Americans (n = 57), nonAfrican-Americans (n = 33), individuals with and without hemoglobin S (n = 15 and n = 12), and children with P falciparum malaria (n = 97) were tested. Platelet-monocyte aggregates, present to varying degrees in different anticoagulants, were eliminated from final analysis. The median fluorescence intensity (MFI) of CD36 among different subjects followed a log-normal distribution. Among African-Americans, 5% were CD36-deficient (logMFI < 1.5; MFI < 32). Expression of platelet CD36 paralleled monocyte CD36. CONCLUSIONS: Flow cytometry can be used to quantify the expression of CD36 of platelets and monocytes in EDTA whole blood. The assay will allow investigation of the relationship between CD36 and clinical outcome in malaria and other disease states.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".