2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells

The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datas...

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Bibliographic Details
Published in:Frontiers in immunology 2019-04, Vol.10, p.589-589
Main Authors: Le, Stephanie T, Merleev, Alexander A, Luxardi, Guillaume, Shimoda, Michiko, Adamopoulos, Iannis E, Tsoi, Lam C, Wang, Jenny Z, Alexanian, Claire, Raychaudhuri, Siba P, Hwang, Samuel T, Gudjonsson, Johann, Marusina, Alina I, Maverakis, Emanual
Format: Article
Language:English
Subjects:
Biomarkers
Computational Biology - methods
Cytokines - biosynthesis
Disease Susceptibility
Gene Expression Profiling
Gene Expression Regulation
Humans
IL17
IL22
Immunology
Inflammation Mediators - metabolism
Interleukin-17 - biosynthesis
Interleukin-22
Interleukins - biosynthesis
machine learning
Molecular Imaging
neutrophil
psoriasis
Psoriasis - etiology
Psoriasis - metabolism
Psoriasis - pathology
RNA-seq
Th17 Cells - immunology
Th17 Cells - metabolism
Transcriptome
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Summary:The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datasets to explore the relationship between the expression of and . This analysis failed to support the existence of dual secreting IL-17A/IL-22 Th17 cells as a major source of these cytokines. However, variable relationships amongst the expression of psoriasis susceptibility genes and of , and were identified. Additionally, to shed light on gene expression relationships in psoriasis, we applied a machine learning nonlinear dimensionality reduction strategy (t-SNE) to display the entire psoriasis transcriptome as a 2-dimensonal image. This analysis revealed a variety of gene clusters, relevant to psoriasis pathophysiology but failed to support a relationship between and . These results support existing theories on alternative sources of IL-17A and IL-22 in psoriasis such as a Th22 cells and non-T cell populations.
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2019.00589