Evaluation of the functional properties of cryopreserved buffy coat–derived monocytes for monocyte monolayer assay
Bibliographic record
Abstract
BACKGROUND Monocyte monolayer assay (MMA) is a compatibility testing method for evaluating the clinical significance of red blood cell (RBC) alloantibodies. Time‐consuming monocyte isolation procedures and requirement for fresh monocytes have limited application of the MMA. The aim of this study was to develop and assess the utility and efficacy of cryopreserved buffy coat (BC)‐derived monocytes for MMA application. STUDY DESIGN AND METHODS Peripheral blood mononuclear cells (PBMNCs) were isolated from BC or peripheral blood (PB) and pooled and BC PBMNCs were cryopreserved. Monocytes from pooled PBMNCs were incubated with anti‐D–sensitized, anti‐Scianna2 (Sc2)–sensitized, anti‐AnWj–sensitized, or anti‐Jra–sensitized RBCs or lipopolysaccharide (LPS). MMA phagocytic index (PI) and membrane integrity were determined microscopically, and cytokine release was measured by Luminex technology. RESULTS PBMNC isolation rates from fresh BC and PB were not comparable (67.4 ± 6.3 and 75.8 ± 7.7% respectively, p = 0.024). There was no significant difference in PBMNC membrane integrity (fresh PB, 100%; fresh BC, 100%; cryopreserved BC, 95.2 ± 1.2%), postwash recovery (fresh PB, 85.9 ± 3.1; fresh BC, 86.9 ± 6.7; cryopreserved BC, 84.8 ± 5.1), or monocyte PI (fresh PB, 82 ± 10; fresh BC, 77 ± 11; cryopreserved BC = 80 ± 6). Monocytes from pooled cryopreserved BC PBMNCs reacted with RBCs sensitized with anti‐D and RBC alloantibodies, including anti‐Sc2, anti‐Jra, and anti‐AnWj. CONCLUSIONS Monocytes from pooled cryopreserved BC PBMNCs can be used reliably to evaluate phagocytic responses of sensitized RBCs and to assess clinical significance of RBC alloantibodies.
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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 | 0.000 |
| 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".