NOD-scid IL2R γnull mice engrafted with human peripheral blood mononuclear cells as a model to test therapeutics

Maryam Zadeh-Khorasani1, Thomas Nolte, Thomas D Mueller

  • 1Department of Surgery, Klinikum der Ludwig-Maximilians Universität München, Munich, Germany.

Abstract

Insights

This study developed a novel animal model for Atopic Dermatitis (AD) using human cells in mice. The model successfully demonstrated therapeutic targeting of IL-4 pathways, showing promise for better drug development in AD.

Area of Science:

  • Immunology
  • Dermatology
  • Translational Medicine

Background:

  • Current animal models for human inflammatory diseases lack predictive accuracy for clinical trials due to species-specific differences and dissimilar immunological backgrounds.
  • The genetic heterogeneity and advanced age of patient populations further complicate direct translation from animal studies.

Purpose of the Study:

  • To develop a more translatable animal model for testing therapeutics targeting pathways involved in Atopic Dermatitis (AD).
  • To improve the predictive quality of preclinical studies for human clinical trials in AD.

Main Methods:

  • NOD-scid IL2R γnull mice were engrafted with human peripheral blood mononuclear cells (hPBMC) from AD patients and healthy donors.
  • Mice were treated with IL-4 and an IL-4 antagonist (Pitrakinra) to assess therapeutic effects on human IgE, B-cells, T-cells, and CD4:CD8 ratios.
  • In vivo results were compared with in vitro analyses.

Main Results:

  • IL-4 induced human IgE secretion and B-cell proliferation in vivo, which were inhibited by Pitrakinra.
  • IL-4 altered CD4:CD8 ratios, an effect reversed by Pitrakinra, particularly in hPBMC from healthy donors.
  • Engrafted mice reflected individual patient responses, showing inertness in AD patient-derived hPBMC.

Conclusions:

  • Engrafted NOD-scid IL2R γnull mice carrying human PBMC mirror donor immunological histories.
  • This model serves as a valuable complement to in vitro studies, offering improved translatability from preclinical research to clinical application.
  • The findings suggest this model can yield more predictive data for Atopic Dermatitis therapeutics.

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