Small‐molecule complement inhibitors cannot prevent the development of the platelet storage lesion
Bibliographic record
Abstract
BACKGROUND: Suppression of the platelet (PLT) storage lesion would maintain PLT quality over longer storage times. An increased storage period would greatly improve the ability of blood agencies and hospitals to manage PLT inventories and minimize product wastage. Activation of the complement system has been proposed to play a role in initiating or potentiating the PLT storage lesion. This study examines the effect of complement inhibition on the development of the PLT storage lesion. STUDY DESIGN AND METHODS: Leukofiltered PLT concentrates (PCs) were split into miniunits containing the complement inhibitors N-acetylaspartylglutamic acid (NAAGA) or compstatin, a control peptide, or saline. Samples were collected up to Day 11 of storage. Complement activation was monitored as C3a generation. PLT quality was assessed by morphology, CD62 and CD63 expression, fibrinogen binding, pH, mean PLT volume, annexin V binding, and PLT viability. Caspase-3 activity served as a measure of PLT apoptosis. RESULTS: At concentrations of NAAGA required to achieve approximately 50 percent complement inhibition, PLT activation, and caspase-3 activity were increased. Complement inhibition by compstatin was highly variable. Compstatin addition consistently resulted in a 37 to 55 percent inhibition of PLT caspase-3 activity, but PLT quality and viability were no different between compstatin PCs and control PCs over the storage time. CONCLUSIONS: Neither NAAGA nor compstatin provided complete inhibition of complement over the storage period. Addition of these small-peptide inhibitors to PCs did not slow PLT storage lesion development, in spite of the partial inhibition of caspase-3 activity in the compstatin-treated PCs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".