Megakaryocytes as mitochondria factories: potential donors for mitochondria transplantation
Bibliographic record
Abstract
PURPOSE OF REVIEW: There is an increasing recognition that mitochondria are dynamic regulators of cell fate. Mitochondria transplantation has emerged as a promising therapeutic strategy for conditions ranging from metabolic disorders to neurodegenerative diseases. Thus, there is a growing need for scalable mitochondrial sources for transplantation. We highlight megakaryocytes, best known for their role in platelet production, as a novel and versatile candidate source for mitochondria transplantation. RECENT FINDINGS: Megakaryocytes are naturally equipped to package and deliver functional mitochondria when producing platelets. Furthermore, MKs can share their mitochondria with neighboring cells in the bone marrow. Given the abundance of mitochondria in megakaryocytes, they may represent an ideal source of mitochondria for transplantation. A better understanding of the role of mitochondria in megakaryocyte heterogeneity and metabolic functions may help harness megakaryocytes for therapeutic transplantation applications. SUMMARY: Megakaryocyte-derived mitochondria transplantation offers a promising avenue for treating metabolic disorders, leveraging existing mechanisms. Future research should address limitations in megakaryocyte biogenesis and heterogeneity, and optimize delivery systems to maximize therapeutic efficacy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".