Auto‐Deactivation of BODIPY‐Derived Type I Photosensitizer Post Photodynamic Therapy under Hypoxia
Bibliographic record
Abstract
Abstract The long‐lasting activity of photosensitizers during photodynamic therapy (PDT) causes excessive damage and arouses great concerns about biosafety. Herein, we synthesized a pyridinium‐decorated diiodo‐BODIPY compound (PyBDP) and investigated its photosensitizing activity under hypoxic condition in the presence of NADH that is abundant in the mitochondria of hypoxic tumors. The unique property of PyBDP lies in the redox environment‐dependent photo‐response. At green light exposure, PyBDP is converted into a colorless inactive form by interacting with NADH in a two‐step one‐electron transfer process. Interestingly, the NADH‐dependent hydrogenation of PyBDP is affected by the presence of cytochrome c (Cyt c ox ) that is an important component of mitochondrial electron transport chain (Mito‐ETC), unless Cyt c ox is exhausted. Active radical species is produced during the photocatalytic reaction, which adds the understanding of PyBDP‐induced photodamage. Therefore, we applied the strategy of auto‐deactivation PDT using a BODIPY photosensitizer by tethering triphenylphosphonium to PyBDP. After PDT effect in a type I pathway, the photosensitizer underwent almost entire auto‐deactivation in hypoxic HeLa cells. This work paves a way for the development of reductive PDT with enhanced safety and efficacy in fighting hypoxic tumors independent on reactive oxygen species (ROS).
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".