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Development of a bioengineered skin-humanized mouse model for psoriasis: dissecting epidermal-lymphocyte interacting
Sara Guerrero-Aspizua1, Marta García, Rodolfo Murillas
1Regenerative Medicine Unit, Epithelial Biomedicine Division, Basic Research Department, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Av. Complutense 22, Edificio 70A, 28040 Madrid, Spain.
The American Journal of Pathology
|October 26, 2010
Summary
Researchers developed a bioengineered human skin-on-mouse model for psoriasis. This innovative model rapidly induces psoriatic skin features, offering a new platform for studying disease mechanisms and testing therapies.
Area of Science:
- Biomedical Engineering
- Dermatology
- Immunology
Background:
- Existing xenotransplantation models for psoriasis face limitations due to donor availability and homogeneity.
- There is a need for robust, reproducible models to study psoriasis pathogenesis and evaluate treatments.
Purpose of the Study:
- To develop a bioengineered human skin-humanized mouse model for psoriasis.
- To establish a platform for investigating the interplay between skin cells and the immune system in psoriasis.
- To enable preclinical testing of psoriasis therapies and prediction of patient responses.
Main Methods:
- Bioengineered human skin grafts were engrafted onto mice.
- Immunological reconstitution was achieved via intradermal injection of T1 subpopulations and Th17 cytokines (IL-17, IL-22).
- Stratum corneum barrier was mildly abraded to facilitate psoriatic phenotype induction.
Main Results:
- The regenerated human skin rapidly developed a bona fide psoriatic phenotype.
- Key hallmarks of psoriasis, including epidermal changes and mesenchymal alterations (angiogenesis, infiltrate), were confirmed.
- The model demonstrated the capacity to mimic psoriasis, irrespective of autologous or allogeneic donor origins.
Conclusions:
- The bioengineered skin-based system provides a reliable platform for studying psoriasis mechanisms.
- This model is suitable for preclinical studies assessing novel therapeutic efficacy.
- The system holds potential for predicting individual patient responses to psoriasis treatments.