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Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis

Psoriasis is a worldwide chronic inflammatory skin disease. The treatment of disease is usually designed according to its severity. In this research, RNA-seq was performed on 37 patients with psoriasis treated with guselkumab before and after treatment, and the patients were divided into fast respon...

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Autores principales: Lu, Jiajing, Wang, Yu, Li, Ying, Zhong, Xiaoyuan, Gong, Yu, Ding, Yangfeng, Yu, Ning, Shi, Yuling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177995/
https://www.ncbi.nlm.nih.gov/pubmed/35693833
http://dx.doi.org/10.3389/fimmu.2022.865875
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author Lu, Jiajing
Wang, Yu
Li, Ying
Zhong, Xiaoyuan
Gong, Yu
Ding, Yangfeng
Yu, Ning
Shi, Yuling
author_facet Lu, Jiajing
Wang, Yu
Li, Ying
Zhong, Xiaoyuan
Gong, Yu
Ding, Yangfeng
Yu, Ning
Shi, Yuling
author_sort Lu, Jiajing
collection PubMed
description Psoriasis is a worldwide chronic inflammatory skin disease. The treatment of disease is usually designed according to its severity. In this research, RNA-seq was performed on 37 patients with psoriasis treated with guselkumab before and after treatment, and the patients were divided into fast responder and slow responder according to PASI score to analyze the differentially expressed genes (DEGs) between them. Moreover, The biological mechanism of psoriasis was explored by Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Ontology (GO) analysis, and Gene Set Enrichment Analysis (GSEA) analysis. And then, this protein-protein interaction network was constructed and 17 DEGs including IL-1β, CXCL8, S100A12 and MMP9 were analyzed by GSVA. DEGs were detected by GO and KEGG analysis of target genes, which were primarily associated with immune response, neutrophil activation, neutrophil degranulation. GSEA reminded that fast responders were mainly involved in low-density neutrophils and abundant NK cells. And the GSVA showed that the DEGs were down-regulated after the early stage of the fast responder and the reverse in the slow responder by GSVA analysis. On the whole, these results indicated that these DEGs may serve as a psoriasis potential diagnostic and predictive biomarkers after been treated by guselkumab.
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spelling pubmed-91779952022-06-10 Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis Lu, Jiajing Wang, Yu Li, Ying Zhong, Xiaoyuan Gong, Yu Ding, Yangfeng Yu, Ning Shi, Yuling Front Immunol Immunology Psoriasis is a worldwide chronic inflammatory skin disease. The treatment of disease is usually designed according to its severity. In this research, RNA-seq was performed on 37 patients with psoriasis treated with guselkumab before and after treatment, and the patients were divided into fast responder and slow responder according to PASI score to analyze the differentially expressed genes (DEGs) between them. Moreover, The biological mechanism of psoriasis was explored by Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Ontology (GO) analysis, and Gene Set Enrichment Analysis (GSEA) analysis. And then, this protein-protein interaction network was constructed and 17 DEGs including IL-1β, CXCL8, S100A12 and MMP9 were analyzed by GSVA. DEGs were detected by GO and KEGG analysis of target genes, which were primarily associated with immune response, neutrophil activation, neutrophil degranulation. GSEA reminded that fast responders were mainly involved in low-density neutrophils and abundant NK cells. And the GSVA showed that the DEGs were down-regulated after the early stage of the fast responder and the reverse in the slow responder by GSVA analysis. On the whole, these results indicated that these DEGs may serve as a psoriasis potential diagnostic and predictive biomarkers after been treated by guselkumab. Frontiers Media S.A. 2022-05-26 /pmc/articles/PMC9177995/ /pubmed/35693833 http://dx.doi.org/10.3389/fimmu.2022.865875 Text en Copyright © 2022 Lu, Wang, Li, Zhong, Gong, Ding, Yu and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Lu, Jiajing
Wang, Yu
Li, Ying
Zhong, Xiaoyuan
Gong, Yu
Ding, Yangfeng
Yu, Ning
Shi, Yuling
Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title_full Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title_fullStr Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title_full_unstemmed Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title_short Based on Gene Expression Analysis: Low-Density Neutrophil Expression Is a Characteristic of the Fast Responders Treated With Guselkumab for Psoriasis
title_sort based on gene expression analysis: low-density neutrophil expression is a characteristic of the fast responders treated with guselkumab for psoriasis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177995/
https://www.ncbi.nlm.nih.gov/pubmed/35693833
http://dx.doi.org/10.3389/fimmu.2022.865875
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