Preclinical Models of Donation-After-Circulatory-Death and Brain-Death: Advances in Kidney Preservation and Transplantation
Bibliographic record
Abstract
Chronic kidney disease (CKD) affects over 10% of the global population, with end-stage renal disease (ESRD) necessitating renal replacement therapy. Kidney transplantation remains the optimal treatment for ESRD. However, the global donor kidney shortage crisis has led to increased reliance on deceased donor kidneys. Donors are classified as either donation after brain death (DBD) or donation after circulatory death (DCD), each associated with distinct ischemic injuries that impact graft function. Ischemia-reperfusion injury (IRI) plays a pivotal role in transplant outcomes, triggering oxidative stress, inflammation, and endothelial dysfunction. While static cold storage (SCS) remains the gold standard for organ preservation, alternative strategies such as hypothermic or normothermic machine perfusion (HMP and NMP), use of oxygen carriers during storage, and supplemental compounds to storage solutions have emerged, offering potential benefits in preserving graft viability. This review explores the cellular and molecular mechanisms of ischemic injury in deceased donor kidneys, preservation strategies tested in preclinical models, and emerging therapeutic interventions aimed at improving adverse post-transplant outcomes.
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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".