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Cited by 2,064

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Psoriasis Pathogenesis and Treatment

Open access
Rendon, Adriana, Schäkel, Knut·2019·International Journal of Molecular Sciences

Abstract

Research on psoriasis pathogenesis has largely increased knowledge on skin biology in general. In the past 15 years, breakthroughs in the understanding of the pathogenesis of psoriasis have been translated into targeted and highly effective therapies providing fundamental insights into the pathogenesis of chronic inflammatory diseases with a dominant IL-23/Th17 axis. This review discusses the mechanisms involved in the initiation and development of the disease, as well as the therapeutic options that have arisen from the dissection of the inflammatory psoriatic pathways. Our discussion begins by addressing the inflammatory pathways and key cell types initiating and perpetuating psoriatic inflammation. Next, we describe the role of genetics, associated epigenetic mechanisms, and the interaction of the skin flora in the pathophysiology of psoriasis. Finally, we include a comprehensive review of well-established widely available therapies and novel targeted drugs.

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Crossref · 10.3390/ijms20061475

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Metadata

Authors
Rendon, A., & Schäkel, K.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2019-03-23
Volume
20
Issue
6
Pages
1475
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2924895007
Cited by
2,064
References
9
FWCI
54.55
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Psoriasis Pathogenesis and Treatment. https://app.cochat.ai/papers/10.3390/ijms20061475
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Rendon, A., & Schäkel, K. (2019). Psoriasis Pathogenesis and Treatment. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms20061475

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.