RSL3-loaded nanoparticles amplify the therapeutic potential of cold atmospheric plasma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cold atmospheric plasma (CAP) has exhibited exciting potential for cancer treatment. Reactive oxygen and nitrogen species (RONS), the primary constituents in CAP, contribute to cancer cell death by elevating oxidative stress in cells. However, several intrinsic cellular antioxidant defense systems exist, such as the glutathione peroxidase 4 (GPX4) enzyme, which dampens the cell-killing efficacy of CAP. RAS-selective lethal 3 (RSL3), also known as a ferroptosis inducer, is a synthetic GPX4 inhibitor. Therefore, we hypothesized that RSL3 can amplify CAP-induced cell death by inhibition of GPX4. In this study, we showed that RSL3 loaded in poly (ethylene glycol)-block-poly(lactide-co-glycolide) (PLGA-PEG) nanoparticles can enhance CAP-induced cell deaths in 4T1 tumor cells. Furthermore, the combination of CAP and RSL3 also promoted cancer immunogenic cell death (ICD), induced dendritic cell (DC) maturation, and macrophage polarization, initiating tumor-specific T-cell mediated immune responses against tumors. For in vivo application, RSL3@NP was co-delivered with CAP via injectable Pluronic hydrogel. In 4T1-bearing mice, hydrogel-mediated delivery of CAP and RSL3-loaded nanoparticles can effectively elicit potent anti-tumor immune responses and inhibit tumor growth.
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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 | 0.001 |
| 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