Eryptosis: a driver of anemia in chronic kidney disease
Bibliographic record
Abstract
PURPOSE OF REVIEW: Anemia, characterized by a reduction in red blood cell (RBC) count or hemoglobin concentration, commonly accompanies chronic kidney disease (CKD), significantly impacting patients' quality of life. This review delves into the multifaceted nature of anemia in CKD, with a focus on novel mechanisms, particularly the dysregulation of eryptosis or programmed cell death of RBCs, leading to shortened RBC lifespan. RECENT FINDINGS: Recent studies in CKD patients and mouse models revealed that eryptosis, driven by factors such as uremic toxins, inflammation, and imbalances in calcium homeostasis, plays a pivotal role in the development of renal anemia. Dysregulated eryptosis results in premature RBC destruction, exacerbating the hypoproliferative character of anemia in CKD. SUMMARY: Recognizing the intricate relationship between eryptosis and anemia in CKD opens promising prospects for improving patient outcomes and enhancing our understanding of this complex condition. Future research and therapeutic development in this area hold the potential to improve anemia treatment of CKD patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".