Mycophenolic acid affects basic functions of human keratinocytes in the IMPDH-dependent manner
Bibliographic record
Abstract
Clinical studies suggest that the immunosuppressant MPA is associated with impaired wound healing. It is believed that the main cause of impairment is the inhibition of inflammatory response. However, it is unknown whether MPA may directly affect epidermal cells. The aim of our study was to examine the direct influence of mycophenolic acid, the selective blocker of de novo purine synthesis, on human epidermal keratinocyte morphology, proliferation, motile activity, and differentiation in in vitro culture. The number of keratinocytes cultured in the presence of MPA was counted and cell motility was measured by a time-lapse computer-aided method. Cell morphology was determined by flow and image cytometry methods. Real-time RT-PCR analysis was employed to investigate the expression of markers of differentiation. We showed that MPA induces irreversible inhibition of cell proliferation, causes cell enlargement and impairs cell locomotion in a time-dependent manner. The level of expression of differentiation markers was significantly reduced by MPA treatment. All these effects were reversed by the addition of guanine. Our results indicated that MPA impairs basic functions of human skin keratinocytes via intracellular guanosine nucleotide depletion, which may be directly reflected in wound healing problems in patients treated with this immunosuppressant.
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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".