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Psoriasis xenograft transplantation models where human skin is transplanted onto immune-deficient mice are generally accepted in psoriasis research. Over the last decade, they have been widely employed to screen for new therapeutics with a potential anti-psoriatic effect. However, experimental designs differ in several parameters. Especially, the number of donors and grafts per experimental design varies greatly; numbers that are directly related to the probability of detecting statistically significant drug effects. In this study, we performed a statistical evaluation of the effect of cyclosporine A, a recognized anti-psoriatic drug, to generate a statistical model employable to simulate different scenarios of experimental designs and to calculate the associated statistical study power, defined as the probability of detecting a statistically significant anti-psoriatic drug treatment effect. Results showed that to achieve a study power of 0.8, at least 20 grafts per treatment group and a minimum of five donors should be included in the chosen experimental setting. To our knowledge, this is the first time that study power calculations have been performed to evaluate treatment effects in a psoriasis xenograft transplantation model. This study was based on a defined experimental protocol, thus other parameters such as drug potency, treatment protocol, mouse strain and graft size should, also, be taken into account when designing an experiment. We propose that the results obtained in this study may lend a more quantitative support to the validity of results obtained when exploring new potential anti-psoriatic drug effects.

Vitamin D3 analogues are widely used topical and oral remedies for various ailments such as psoriasis, osteoporosis and secondary hyperparathyroidism. In topical treatment, high skin permeability and cellular uptake are key criteria for beneficial effects due to the natural barrier properties of skin. In this study, we wish to establish an in vivo model that allows the comparison of permeability and activity of vitamin D3 analogues in human skin. We generate a bipartite, genetic sensor technology that combines efficient lentivirus-directed gene delivery to xenotransplanted human skin with vitamin D3-induced expression of a luciferase reporter gene and live imaging of animals by bioluminescence imaging. Based on the induction of a transcriptional activator consisting of the vitamin D receptor fused to the Gal4 DNA-binding domain, the vitamin D3-responsive sensor facilitates non-invasive and rapid assessment of permeability and functional properties of vitamin D3 analogues. By topical application of a panel of vitamin D3 analogues onto 'sensorized' human skin, the sensor produces a drug-induced readout with a magnitude and persistence that allow a direct comparative analysis of different analogues. This novel genetic tool has great potential as a non-invasive in vivo screening system for further development and refinement of vitamin D3 analogues.

Psoriasis xenograft transplantation models where human skin is transplanted onto immune-deficient mice are generally accepted in psoriasis research. Over the last decade, they have been widely employed to screen for new therapeutics with a potential anti-psoriatic effect. However, experimental designs differ in several parameters. Especially, the number of donors and grafts per experimental design varies greatly; numbers that are directly related to the probability of detecting statistically significant drug effects. In this study, we performed a statistical evaluation of the effect of cyclosporine A, a recognized anti-psoriatic drug, to generate a statistical model employable to simulate different scenarios of experimental designs and to calculate the associated statistical study power, defined as the probability of detecting a statistically significant anti-psoriatic drug treatment effect. Results showed that to achieve a study power of 0.8, at least 20 grafts per treatment group and a minimum of five donors should be included in the chosen experimental setting. To our knowledge, this is the first time that study power calculations have been performed to evaluate treatment effects in a psoriasis xenograft transplantation model. This study was based on a defined experimental protocol, thus other parameters such as drug potency, treatment protocol, mouse strain and graft size should, also, be taken into account when designing an experiment. We propose that the results obtained in this study may lend a more quantitative support to the validity of results obtained when exploring new potential anti-psoriatic drug effects.