<i>In Vitro</i> Multiwavelength PDT with <sup>3</sup>IL States: Teaching Old Molecules New Tricks
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Bibliographic record
Abstract
The purpose of the present investigation was to ascertain whether (3)IL excited states with microsecond lifetimes are universally potent for photodynamic applications, and if these long-lived states are superior to their (3)MLCT counterparts as in vitro PDT agents. A family of blue-green absorbing, Ru(II)-based transition metal complexes derived from the π-expansive dppn ligand was prepared and characterized according to its photodynamic activity against HL-60 cells, and toward DNA in cell-free media. Complexes in this series that are characterized by low-energy and long-lived (3)IL excited states photocleaved DNA with blue, green, red, and near-IR light. This panchromatic photodynamic effect translated to in vitro multiwavelength photodynamic therapy (PDT) with red-light cytotoxicities as low as 1.5 μM (EC50) for the parent complex and 400 nM for its more lipophilic counterpart. This potency is similar to that achieved with Ru(II)-based dyads containing long-lived (3)IL excitons located on appended pyrenyl units, and appears to be a general property of sufficiently long-lived excited states. Moreover, the red PDT observed for certain members of this family was almost 5 times more potent than Photofrin with therapeutic indices 30 times greater. Related Ru(II) complexes having lowest-lying (3)MLCT states of much shorter duration (≤1 μs) did not yield DNA photodamage or in vitro PDT with red or near-IR light, nor did the corresponding Os(II) complex with a submicrosecond (3)IL excited state lifetime. Therefore, metal complexes that utilize highly photosensitizing (3)IL excited states, with suitably long lifetimes (≫ 1 μs), are well-poised to elicit PDT at wavelengths even where their molar extinction coefficients are very low (<100 M(-1) cm(-1)). Herein we demonstrate that such unexpected reactivity gives rise to very effective PDT in the typical therapeutic window (600-850 nm).
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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) | 0.001 | 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 | 0.001 |
| 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