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Topical drug effects on normal and proliferating epidermal cell models
Archives of Dermatology
|July 1, 1981
Summary
A study comparing topical antiproliferative agents on mouse skin and psoriasis patients found that the essential fatty acid-deficient diet model showed good clinical correlation. The UV-induced model had poorer correlation due to variable DNA synthesis rates.
Area of Science:
- Dermatology
- Pharmacology
- Skin Biology
Background:
- Antiproliferative agents are crucial for treating hyperproliferative skin conditions like psoriasis.
- Evaluating the efficacy of topical treatments in preclinical models is essential for clinical translation.
- Hairless mouse models offer a platform for studying skin responses to topical agents.
Purpose of the Study:
- To assess the predictive value of two hairless mouse models for topical antiproliferative drug efficacy in psoriasis.
- To compare the effects of 28 topical antiproliferative agents on normal and hyperproliferative mouse skin with human clinical responses.
Main Methods:
- Induction of epidermal hyperproliferation in hairless mice using an essential fatty acid-deficient diet or short-wavelength ultraviolet (UV) irradiation.
- Topical application of 28 antiproliferative agents to mouse skin.
- Measurement of epidermal DNA synthesis using hydroxyapatite column chromatography.
- Comparison of mouse model responses with clinical outcomes in psoriasis patients.
Main Results:
- The essential fatty acid-deficient diet-induced hyperproliferation mouse model demonstrated a good correlation with clinical responses in psoriasis patients for most tested drugs.
- The UV-induced hyperproliferation mouse model showed a poorer correlation with clinical outcomes.
- Variations in epidermal DNA synthetic rates in the UV model may explain the reduced clinical correlation.
Conclusions:
- The essential fatty acid-deficient diet hairless mouse model serves as a valuable predictive tool for topical antiproliferative drug efficacy in psoriasis.
- The UV-induced model requires further refinement to improve its predictive accuracy for topical psoriasis treatments.