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Cited by 655

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

Th2 Cytokines and Atopic Dermatitis

Open access
B. Brandt, Eric·2011·Journal of Clinical & Cellular Immunology

Abstract

Atopic dermatitis (AD), a chronic relapsing inflammatory skin disease, is increasing in prevalence around the world. Intensive research is ongoing to understand the mechanisms involved in the development of AD and offer new treatment options for patients suffering from AD. In this review, we highlight the importance of allergic Th2 responses in the development of the disease and summarize relevant literature, including genetic studies, studies of human skin and mechanistic studies on keratinocytes and mouse models of AD. We discuss the importance of the skin barrier and review recent findings on the pro-Th2 cytokines TSLP, IL-25, and IL-33, notably their ability to polarize dendritic cells and promote Th2 responses. After a brief update on the contribution of different T-cell subsets to AD, we focus on Th2 cells and the respective contributions of each of the Th2 cytokines (IL-4, IL-13, IL-5, IL-31, and IL-10) to AD. We conclude with a brief discussion of the current gaps in our knowledge and technical limitations.

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Metadata

Authors
B. Brandt, E.
Venue
Journal of Clinical & Cellular Immunology
Published
2011
Volume
02
Issue
03
ISSN
2155-9899 (ISSN-L)
OpenAlex
W1994262603
Cited by
655
References
163
FWCI
24.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Th2 Cytokines and Atopic Dermatitis. https://app.cochat.ai/papers/10.4172/2155-9899.1000110
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B. Brandt, E. (2011). Th2 Cytokines and Atopic Dermatitis. Journal of Clinical & Cellular Immunology. https://doi.org/10.4172/2155-9899.1000110

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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.