Photosensitizers for photodynamic immune modulation
Bibliographic record
Abstract
PDT may be an effective treatment for certain immune-mediated disorders. The immunomodulatory action of PDT is likely a consequence of effects exerted at a number of levels including stimulation of specific cell signaling pathways, selective depletion of activated immune cells, alteration of receptor expression by immune and non-immune cells, and the modulation of cytokine availability. QLT0074, a potent photosensitizer that exhibits rapid clearance kinetics in vivo, is in development for the treatment of immune disorders. In comparison to the well-characterized and structurally related photosensitizer verteporfin, lower concentrations of QLT0074 were required to induce apoptosis in human blood T cells and keratinocytes using blue light for photoactivation. Both photosensitizers triggered the stress activated protein kinase (SAPK) and p38 (HOG1) pathways but not extracellularly regulated kinase (ERK) activity in mouse Pam212 keratinocytes. In cell signaling responses, QLT0074 was active at lower concentrations than verteporfin. For all in vitro test systems, the stronger photodynamic activity of QLT0074 was associated with a greater cell uptake of this photosensitize than verteporfin. In mouse immune models, sub-erythemogenic doses of QLT0074 in combination with whole body blue light irradiation inhibited the contact hypersensitivity response and limited the development of adjuvant-induced arthritis. QLT0074 exhibits activities that indicate it may be a favorable agent for the photodynamic treatment of human immune disease.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".