The cellular and molecular mechanisms for neutropenia in Barth syndrome
Bibliographic record
Abstract
Barth syndrome (BTHS), a rare, X-linked, recessive disease, is characterized by neutropenia and cardiomyopathy. BTHS is caused by loss-of-function mutations of the tafazzin (TAZ) gene. We developed a model of BTHS by transfecting human HL60 myeloid progenitor cells with TAZ-specific shRNAs. Results demonstrate a significant downregulation in TAZ expression, mimicking the effects of naturally occurring truncation mutations in TAZ. Flow cytometry analyses of cells with TAZ-specific, but not scrambled, shRNAs demonstrate nearly twofold increase in the proportion of annexin V-positive cells and significantly increased dissipation of mitochondrial membrane potential as determined by DIOC6 staining. Transfection of TAZ-specific shRNA had similar effects in U937 myeloid cells but not in lymphoid cell lines. Further studies in HL60 myeloid progenitor cells revealed aberrant release of cytochrome c from mitochondria and significantly elevated levels of activated caspase-3 in response to TAZ knockdown. Treatment with caspase-specific inhibitor zVAD-fmk resulted in substantially reduced apoptosis to near-normal levels. These data suggest that neutropenia in BTHS is attributable to increased dissipation of mitochondrial membrane potential, aberrant release of cytochrome c, activation of caspase-3, and accelerated apoptosis of myeloid progenitor cells, and that this defect can be partially restored in vitro by treatment with caspase-specific inhibitors.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".