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Udgivet

Skin Patterning in Psoriasis by Spatial Interactions between Pathogenic Cytokines

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DOI

  1. Patient-reported Outcomes During Treatment in Patients with Moderate-to-severe Psoriasis: A Danish Nationwide Study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Skin colonization by circulating neoplastic clones in cutaneous T-cell lymphoma

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. High-Throughput Sequencing-Based Investigation of Viruses in Human Cancers by Multienrichment Approach

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Expression and function of Kv1.3 channel in malignant T cells in Sézary syndrome

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

Disorders of human skin manifest themselves with patterns of lesions ranging from simple scattered spots to complex rings and spirals. These patterns are an essential characteristic of skin disease, yet the mechanisms through which they arise remain unknown. Here we show that all known patterns of psoriasis, a common inflammatory skin disease, can be explained in terms of reaction-diffusion. We constructed a computational model based on the known interactions between the main pathogenic cytokines: interleukins IL-17 and IL-23, and tumor necrosis factor TNF-α. Simulations revealed that the parameter space of the model contained all classes of psoriatic lesion patterns. They also faithfully reproduced the growth and evolution of the plaques and the response to treatment by cytokine targeting. Thus the pathogenesis of inflammatory diseases, such as psoriasis, may be readily understood in the framework of the stimulatory and inhibitory interactions between a few diffusing mediators.

OriginalsprogEngelsk
TidsskriftiScience
Vol/bind20
Sider (fra-til)546-553
Antal sider8
ISSN2589-0042
DOI
StatusUdgivet - 25 okt. 2019

Bibliografisk note

Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.

ID: 59268247