Beyond the Blood Cell: The Emerging Role of Cell-Free DNA in Transfusion Medicine
Bibliographic record
Abstract
Cell-free DNA (cfDNA) consists of fragmented nuclear and mitochondrial DNA circulating in the bloodstream, primarily originating from hematopoietic cells. While cfDNA analysis has transformed diagnostic medicine, its presence in transfused blood products introduces emerging clinical concerns. Donor-derived cfDNA may persist in transfusion recipients and contribute to transfusion-associated microchimerism, defined as the long-term presence of donor genetic material in recipient tissues or circulation. These fragments have potential to integrate into the host genome, modify DNA methylation and histone structure, and activate innate immune pathways such as Toll-like receptors. In addition to nuclear and mitochondrial sources, cfDNA in transfused blood may include environmental or dietary DNA acquired by donors, further influencing immune regulation. Current leukoreduction methods do not eliminate cfDNA or prevent microchimerism. This review synthesizes current evidence regarding the persistence, genomic integration, and immunologic impact of cfDNA in transfusion recipients. The findings highlight an urgent need for further investigation and refinement of blood processing practices to ensure transfusion safety and protect recipient health.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".