Action of the photosensitizer QLT0074 upon human T lymphocytes in vitro
Bibliographic record
Abstract
A new photosensitizer, presently designated QLT0074, may be useful for the treatment of skin conditions, particularly those mediated by T lymphocytes, with photodynamic therapy (PDT). QLT0074 was tested against human peripheral blood T cells and Jurkat T lymphoma cells. Low concentrations of QLT0074 and blue light were sufficient to induce apoptosis in peripheral blood T cells or Jurkat T lymphoma cells as indicated by expression of the apoptosis-associated mitochondrial 7A6 marker, annexin-V labeling or activation of capsase-3 and cleavage of the capsase substrate poly(ADP-ribose)polymerase (PARP). Flow cytometry studies performed following PDT showed that peripheral blood T cells with high expression of the interleukin-2 receptor (CD25) took up greater amounts of QLT0074 and were eliminated to a greater degree than T cells with low CD25 levels. This effect of PDT was also shown by the reduction in the percentage of T cells that expressed other activation-associated markers such as very late activation antigen-4 (CD49d), human leukocyte antigen DR (HLA-DR), intercellular adhesion molecule-1 (CD54) and Fas (CD95). In the case of T cells that remained viable following PDT, CD25 expression was lower while CD54, CD95 and HLA-DR levels were unchanged. Thus, PDT with QLT0074 has selective, dose-dependent effects on T cells in vitro.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".