Transcriptome‐based identification of novel endotypes in adult atopic dermatitis

Lefèvre‐Utile, Alain; Saichi, Melissa; Oláh, Péter; Delord, Marc; Homey, Bernhard; Soumelis, Vassili; Kere, Juha; Levi‐Schaffer, Francesca; Giorgini, Dario; Ottman, Noora; Baker, Jonathan; Andersson, Björn; Barrientos‐Somarribas, Mauricio; Prast‐Nielsen, Stefanie; Wisgrill, Lukas; Tsoka, Sophia; Fyhrquist, Nanna; Alenius, Harri; Alexander, H; Schröder, Jens-Michael; Nestle, Frank O.; Lauerma, Antti; Hupé, Philippe; Ranki, Annamari

doi:10.1111/all.15150

Cited by 10 publications

(7 citation statements)

References 68 publications

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“…For the identification of patient subgroups, we first compiled a set of genes with the highest variances in expression in baseline (m0) AD samples denoted as AD-specific hypervariable genes. 25 We selected genes that (1) showed a variance in expression of > _1 in the AD m0 samples, and (2) had a variance at least 2 times higher in the AD m0 samples compared to the healthy control samples. The Euclidean distance matrix was computed on the basis of those AD-specific hypervariable genes (n 5 34 genes) (using normalized (DESeq2 size factor normalization) and transformed (log 2 transformation counts), and agglomerative hierarchical clustering was performed using the ward.D2 linkage criteria.…”

Section: Discussionmentioning

confidence: 99%

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Möbus

Rodríguez

Harder

et al. 2022

Journal of Allergy and Clinical Immunology

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Section: Discussionmentioning

confidence: 99%

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Möbus

Rodríguez

Harder

et al. 2022

Journal of Allergy and Clinical Immunology

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“…This is of particular importance since interferon signaling represents a key feature of psoriatic inflammation. Previous studies demonstrated the interferon responses, especially IFITM1, IFITM2, and CCL5 were increased of in skin of patients with AD ( 41 , 42 ). In our study, we found a prioritized gene regulatory network of interferon signaling in psoriasis but not in AD, suggesting the interferon-mediated priming can contribute to the responses to different inflammatory factors in different conditions.…”

Section: Discussionmentioning

confidence: 89%

Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach

et al. 2022

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Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.

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“…Th2 high and Th2 low endotypes have been hypothesized, supported by proteomic 116 and transcriptomic studies, 117…”

Section: Cla + T Cell Relationship With Ad Biomarkers and Targeted Th...mentioning

confidence: 89%

CLA⁺ memory T cells in atopic dermatitis

Nicolàs

Czarnowicki

Akdiş

et al. 2023

Allergy

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Circulating skin‐homing cutaneous lymphocyte‐associated antigen (CLA)+ T cells constitute a small subset of human memory T cells involved in several aspects of atopic dermatitis: Staphylococcus aureus related mechanisms, the abnormal Th2 immune response, biomarkers, clinical aspects of the patients, pruritus, and the mechanism of action of targeted therapies. Superantigens, IL‐13, IL‐31, pruritus, CCL17 and early effects on dupilumab‐treated patients have in common that they are associated with the CLA+ T cell mechanisms in atopic dermatitis patients. The function of CLA+ T cells corresponds with the role of T cells belonging to the skin‐associated lymphoid tissue and could be a reason why they reflect different mechanisms of atopic dermatitis and many other T cell mediated skin diseases. The goal of this review is to gather all this translational information of atopic dermatitis pathology.

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Transcriptome‐based identification of novel endotypes in adult atopic dermatitis

Abstract: The members of MAARS consortium group are listed in ACKNOWLEDGMENTS.

Cited by 10 publications

References 68 publications

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach

CLA⁺ memory T cells in atopic dermatitis

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Transcriptome‐based identification of novel endotypes in adult atopic dermatitis

Abstract: The members of MAARS consortium group are listed in ACKNOWLEDGMENTS.

Cited by 10 publications

References 68 publications

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Blood transcriptome profiling identifies 2 candidate endotypes of atopic dermatitis

Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach

CLA+ memory T cells in atopic dermatitis

Contact Info

Product

Resources

About

CLA⁺ memory T cells in atopic dermatitis