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Mathematical modeling of atopic dermatitis reveals "double-switch" mechanisms underlying 4 common disease phenotypes.
Domínguez-Hüttinger, Elisa; Christodoulides, Panayiotis; Miyauchi, Kosuke; Irvine, Alan D; Okada-Hatakeyama, Mariko; Kubo, Masato; Tanaka, Reiko J.
Afiliación
  • Domínguez-Hüttinger E; Department of Bioengineering, Imperial College London, London, United Kingdom; Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico.
  • Christodoulides P; Department of Bioengineering, Imperial College London, London, United Kingdom.
  • Miyauchi K; Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan.
  • Irvine AD; National Children's Research Centre, Our Lady's Children's Hospital Crumlin, Dublin, Ireland; Paediatric Dermatology, Our Lady's Children's Hospital Crumlin, Dublin, Ireland; Clinical Medicine, Trinity College Dublin, Dublin, Ireland.
  • Okada-Hatakeyama M; Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan.
  • Kubo M; Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan; Research Institute for Biomedical Science, Tokyo University of Science, Tokyo, Japan.
  • Tanaka RJ; Department of Bioengineering, Imperial College London, London, United Kingdom. Electronic address: r.tanaka@imperial.ac.uk.
J Allergy Clin Immunol ; 139(6): 1861-1872.e7, 2017 Jun.
Article en En | MEDLINE | ID: mdl-27931974
ABSTRACT

BACKGROUND:

The skin barrier acts as the first line of defense against constant exposure to biological, microbial, physical, and chemical environmental stressors. Dynamic interplay between defects in the skin barrier, dysfunctional immune responses, and environmental stressors are major factors in the development of atopic dermatitis (AD). A systems biology modeling approach can yield significant insights into these complex and dynamic processes through integration of prior biological data.

OBJECTIVE:

We sought to develop a multiscale mathematical model of AD pathogenesis that describes the dynamic interplay between the skin barrier, environmental stress, and immune dysregulation and use it to achieve a coherent mechanistic understanding of the onset, progression, and prevention of AD.

METHODS:

We mathematically investigated synergistic effects of known genetic and environmental risk factors on the dynamic onset and progression of the AD phenotype, from a mostly asymptomatic mild phenotype to a severe treatment-resistant form.

RESULTS:

Our model analysis identified a "double switch," with 2 concatenated bistable switches, as a key network motif that dictates AD pathogenesis the first switch is responsible for the reversible onset of inflammation, and the second switch is triggered by long-lasting or frequent activation of the first switch, causing irreversible onset of systemic TH2 sensitization and worsening of AD symptoms.

CONCLUSIONS:

Our mathematical analysis of the bistable switch predicts that genetic risk factors decrease the threshold of environmental stressors to trigger systemic TH2 sensitization. This analysis predicts and explains 4 common clinical AD phenotypes from a mild and reversible phenotype through to severe and recalcitrant disease and provides a mechanistic explanation for clinically demonstrated preventive effects of emollient treatments against development of AD.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dermatitis Atópica / Modelos Biológicos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Allergy Clin Immunol Año: 2017 Tipo del documento: Article País de afiliación: México

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Dermatitis Atópica / Modelos Biológicos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: J Allergy Clin Immunol Año: 2017 Tipo del documento: Article País de afiliación: México