Protein quality in Mirasol pathogen reduction technology–treated, apheresis‐derived fresh‐frozen plasma
Bibliographic record
Abstract
BACKGROUND: The Mirasol pathogen reduction technology (PRT) system for plasma is based on a riboflavin (vitamin B(2)) and ultraviolet (UV) light treatment process resulting in pathogen inactivation due to irreversible photo-oxidative damage of nucleic acids. The purpose of this study was to evaluate the in vitro protein quality of apheresis-derived plasma treated with riboflavin and UV light in comparison with untreated fresh-frozen plasma (FFP). STUDY DESIGN AND METHODS: Twenty apheresis plasma samples (270 + or - 10 mL) were combined with 35 + or - 5 mL of riboflavin solution (500 microM), yielding a mean 60 microM final riboflavin concentration, and then exposed to UV light (6.24 J/mL). Riboflavin and UV light-treated plasma was then flash frozen, within 8 hours of collection, generating treated FFP. Treated FFP was thawed and analyzed using standard coagulation assays, and the percent retention of protein activity was reported, relative to untreated, paired controls. RESULTS: Plasma proteins demonstrated different sensitivities to riboflavin and UV treatment. The amount of total protein remained unchanged. After treatment, fibrinogen (antigen) showed 99% retention; Factor (F)XII, FXIII, ADAMTS-13, and von Willebrand factor (ristocetin cofactor) 96% to 100%. Fibrinogen retained 77% activity, FII 80%, FVIIIc 75%, and FV 73% after treatment. Antithrombin, protein S, plasminogen, and alpha(2)-antiplasmin retained between 91 and 100% activity. CONCLUSION: The results from this study demonstrate that coagulant and anticoagulant proteins in riboflavin and UV light-treated (PRT) apheresis plasma are well preserved.
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 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 | 0.001 |
| 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".