Shikonin impairs mitochondrial activity to selectively target leukemia cells
Why this work is in the frame
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Bibliographic record
Abstract
Acute myeloid leukemia (AML) is a hematopoietic malignancy that results from the accumulation of undifferentiated myeloid cells in the peripheral blood and bone marrow. Limited therapeutics contribute to unfavorable patient outcomes, highlighting the need for novel therapeutics to improve prognosis. We previously demonstrated that shikonin, a constituent of Lithospermum erythrorhizon, preferentially targets bulk AML cells through inhibition of electron transport chain complex II. In this study, we aim to further characterize the anti-leukemia effects of shikonin in vitro and in vivo. AML cell lines and patient-derived cells were used to assess the cytotoxic effect of shikonin in vitro and in vivo. Respirometry, stable-isotope tracing, flow cytometry, and immunoblotting were used to assess the metabolic changes which precede shikonin-mediated cell death. Shikonin induced cytotoxicity in AML cell lines and patient-derived cells while sparing normal hematopoietic cells through a reactive-oxygen species (ROS) dependent mechanism. Shikonin (2.5 mg/kg) reduced patient-derived AML cell engraftment in mouse bone marrow without toxicity. Mechanistically, it increased mitochondrial ROS, impaired oxidative tricarboxylic acid cycling, and reprogrammed metabolism towards glycolysis. Chronic cellular exposure to shikonin resulted in a unique phenotype characterized by decreased mitochondrial activity and increased glycolysis. Consistent with this, cells with increased glycolytic and antioxidant capacities were less sensitive to shikonin. Together, these results highlight shikonin as a mitochondria-targeting agent and provide further insight into its anti-AML activity.
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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 it