MDB-18. A bench-top model for the optimization of ultrasound parameters for sonodynamic therapy of medulloblastoma
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In-vitro studies show that low frequency sound waves can interact with hemo-porphyrin to produce reactive oxygen species (ROS). This phenomenon induces tumor cell death in various cell types in-vitro and in xenograft models. However, reproducible in-vitro models with adequate parameterization in sonodynamic therapy remain scarce. This study evaluated ROS production and apoptotic marker expression in medulloblastoma cells under varying treatment durations and ultrasound power using a bench-top focused ultrasound (FUS) device. UW426 medulloblastoma cells were exposed to 5-aminolevulinic acid (5-ALA) at different concentrations for up to 24 hours. The incubation time yielding peak protoporphyrin IX (PPIX) fluorescence was identified via fluorescence-activated cell sorting (FACS). A 1.5 MHz transducer operated at 0.91 MHz was targeted to the bottom of a 96-well plate, and pressure wave delivery was verified by a hydrophone. Cells were treated with 5-ALA alone, FUS alone, or 5-ALA + FUS, then incubated for 24 hours before measuring ROS and cell death markers. ROS levels were measured with the CellROX Green Kit and Annexin V expression with the Dead Cell Stain Kit, both by FACS. Peak PPIX fluorescence in UW426 cells occurred after 12 hours of incubation with 200 µg/mL 5-ALA. The highest ROS levels were detected using 0.91 MHz at a total sonication time of 120s and an average power of 6 W. Significant cell death occurred at 3 W and 6 W with 90 s and 120 s sonication. This bench-top setup successfully induced ROS and cell death in UW426 cells. Establishing this robust in-vitro model allows further exploration of sonication parameters and supports future translation to clinical models.
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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