Protective mitochondrial transfer from bone marrow stromal cells to acute myeloid leukemic cells during chemotherapy
Bibliographic record
Abstract
Here we demonstrate that in a niche-like coculture system, cells from both primary and cultured acute myeloid leukemia (AML) sources take up functional mitochondria from murine or human bone marrow stromal cells. Using different molecular and imaging approaches, we show that AML cells can increase their mitochondrial mass up to 14%. After coculture, recipient AML cells showed a 1.5-fold increase in mitochondrial adenosine triphosphate production and were less prone to mitochondrial depolarization after chemotherapy, displaying a higher survival. This unidirectional transfer enhanced by some chemotherapeutic agents required cell-cell contacts and proceeded through an endocytic pathway. Transfer was greater in AML blasts compared with normal cord blood CD34(+) cells. Finally, we demonstrate that mitochondrial transfer was observed in vivo in an NSG immunodeficient mouse xenograft model and also occurred in human leukemia initiating cells and progenitors. As mitochondrial transfer provides a clear survival advantage following chemotherapy and a higher leukemic long-term culture initiating cell potential, targeting mitochondrial transfer could represent a future therapeutic target for AML treatment.
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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 | 0.000 |
| 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) | 0.001 | 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 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".