Donor genetics and storage conditions influence mitochondrial DNA and extracellular vesicle levels in RBC units
Bibliographic record
Abstract
Mitochondrial DNA (mtDNA) shares characteristics with bacterial DNA and activates immune cells via TLR9Extracellular vesicles (EVs) and mtDNA have been found in blood products and can activate immune cells; we sought to characterize their evolution in stored blood products. From a previous study of hemolysis in 13,403 blood donors, a second blood unit was drawn from 651 donors and sampled at days 10, 21, and 42. EV counts and RBC-EVs increased with storage time, and EV levels were higher in males and in RBC units processed in AS-1 compared with AS-3. mtDNA levels were higher in females and RBC units processed in AS-3. EV populations and mtDNA levels were highly correlated within donors for 98 donations obtained 2-12 months apart. Quantitative trait locus analysis revealed several genetic associations, most notably linking mtDNA levels with polymorphisms in ANKLE1, which encodes an erythroid-specific protein that preferentially cleaves mtDNA. These data suggest that donor-intrinsic factors may influence mtDNA and EV levels found in RBC units. This finding lends impetus to determining if genetic or environmental factors control levels of these immune mediators in blood donors.
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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".