4.7 Article

Mathematical modeling of atopic dermatitis reveals double-switch mechanisms underlying 4 common disease phenotypes

期刊

JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
卷 139, 期 6, 页码 1861-+

出版社

MOSBY-ELSEVIER
DOI: 10.1016/j.jaci.2016.10.026

关键词

Atopic dermatitis; mathematical models; double switch; disease progression; disease phenotypes; preventive treatment

资金

  1. Engineering and Physical Sciences Research Council of the United Kingdom [EP/G007446/1]
  2. Mexican Council for Science and Technology [212800]
  3. National Autonomous University of Mexico
  4. EPSRC [EP/G007446/1] Funding Source: UKRI
  5. Grants-in-Aid for Scientific Research [24111001, 15H01267, 15H01162] Funding Source: KAKEN
  6. Engineering and Physical Sciences Research Council [EP/G007446/1] Funding Source: researchfish
  7. National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs) [NC/P00217X/1] Funding Source: researchfish

向作者/读者索取更多资源

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, froma 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 T(H)2 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 T(H)2 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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