Abstract 414: Lipidomic Of Platelet Concentrate Dedicated For Transfusion
Bibliographic record
Abstract
Structural and biochemical changes in stored platelets are influenced by collection and processing methods. During platelet concentrate storage, lesions can appear of which certain can be involved in adverse reaction after transfusion. The aim of this study was to investigate the lipidome in the supernatant of platelet concentrates (PCs) dependent on processing and storage conditions comparing apheresis (SDA) versus buffy coat (BC) platelet concentrate (PC) methods. We investigated various lipid mediator accumulation (Lysophospholipids and Eicosanoids), in either platelet concentrates (SDA-PCs and BC-PCs) stored from 0 to 5 days. All components were produced following French Blood Establishment protocols according to European (EDQM-GTS) Standards; lipids were measured with LS/MS spectrometry. Our data showed no difference between SDA-PC and BC-PC regarding lysophosphatidic acid; however, lysophosphatidylcholine levels were higher in BC-PC than in SDA-PC. Other eicosanoids were affected by either collection or storage conditions of PC. Along the storage, some lipid mediator levels are modulated in SDA-PC and BC-PC. It could be defined as standard platelet components ready for transfusion. To what extent differences, even minimal, matter in clinical outcome remains to be evaluated.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".