Literature DB >> 33760854

Elucidating the immune infiltration in acne and its comparison with rosacea by integrated bioinformatics analysis.

Lu Yang1, Yan-Hong Shou1, Yong-Sheng Yang1, Jin-Hua Xu1.   

Abstract

BACKGROUND: Acne vulgaris and rosacea are common inflammatory complications of the skin, both characterized by abnormal infiltration of immune cells. The two diseases can be differentiated based on characteristic profile of the immune cell infiltrates at the periphery of disease lesions. In addition, dysregulated infiltration of immune cells not only occur in the acne lesions but also in non-lesional areas of patients with the disease, thus characterizing the immune infiltration in these sites can further enhance our understanding on the pathogenesis of acne.
METHODS: Five microarray data-sets (GSE108110, GSE53795, GSE65914, GSE14905 and GSE78097) were downloaded from Gene Expression Omnibus. After removing the batch effects and normalizing the data, we applied the CIBERSORT algorithm combined with signature matrix LM22, to describe 22 types of immune cells' infiltration in acne less than 48 hour (H) old, in comparation with non-lesional skin of acne patients, healthy skin and rosacea (including erythematotelangiectatic rosacea, papulopustular rosacea and phymatous rosacea) and we compared gene expression of Th1 and Th17-related molecules in acne, rosacea and healthy control.
RESULTS: Compared with the non-lesional skin of acne patients, healthy individuals and rosacea patients, there is a significant increase in infiltration of neutrophils, monocytes and activated mast cells around the acne lesions, less than 48 H after their development. Contrarily, few naive CD4+ T cells, plasma cells, memory B cells and resting mast cells infiltrate acne sites compared to the aforementioned groups of individuals. Moreover, the infiltration of Regulatory T cells (Tregs) in acne lesions is substantially lower, relative to non-lesional sites of acne patients and skin of healthy individuals. In addition, non-lesional sites of acne patients exhibit lower infiltration of activated memory CD4+ T cells, plasma cells, memory B cells, M0 macrophages, neutrophils, resting mast cells but higher infiltration of Tregs and resting dendritic cells relative to skin of healthy individuals. Intriguingly, we found that among the 3 rosacea subtypes, the immune infiltration profile of papulopustular rosacea is the closest to that of acne lesions. In addition, through gene expression analysis of acne, rosacea and skin tissues of healthy individuals, we found a higher infiltration of Th1 and Th17 cells in acne lesions, relative to non-lesional skin areas of acne patients.
CONCLUSIONS: Our study provides new insights into the inflammatory pathogenesis of acne, and the difference between acne and rosacea, which helps in differentiating the two diseases. Our findings also guide on appropriate target therapy of the immune cell infiltrates in the two disease conditions.

Entities:  

Year:  2021        PMID: 33760854      PMCID: PMC7990205          DOI: 10.1371/journal.pone.0248650

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  41 in total

1.  Standard classification of rosacea: Report of the National Rosacea Society Expert Committee on the Classification and Staging of Rosacea.

Authors:  Jonathan Wilkin; Mark Dahl; Michael Detmar; Lynn Drake; Alvan Feinstein; Richard Odom; Frank Powell
Journal:  J Am Acad Dermatol       Date:  2002-04       Impact factor: 11.527

Review 2.  Rosacea: current state of epidemiology.

Authors:  Jerry Tan; Mats Berg
Journal:  J Am Acad Dermatol       Date:  2013-12       Impact factor: 11.527

Review 3.  Acne and rosacea: What's new for treatment?

Authors:  Recep Dursun; Munise Daye; Koray Durmaz
Journal:  Dermatol Ther       Date:  2019-07-22       Impact factor: 2.851

4.  Human skin is protected by four functionally and phenotypically discrete populations of resident and recirculating memory T cells.

Authors:  Rei Watanabe; Ahmed Gehad; Chao Yang; Laura L Scott; Jessica E Teague; Christoph Schlapbach; Christopher P Elco; Victor Huang; Tiago R Matos; Thomas S Kupper; Rachael A Clark
Journal:  Sci Transl Med       Date:  2015-03-18       Impact factor: 17.956

5.  IL-1β drives inflammatory responses to propionibacterium acnes in vitro and in vivo.

Authors:  Magdalena Kistowska; Samuel Gehrke; Dragana Jankovic; Katrin Kerl; Antonia Fettelschoss; Laurence Feldmeyer; Gabriele Fenini; Antonios Kolios; Alexander Navarini; Ruta Ganceviciene; Jürgen Schauber; Emmanuel Contassot; Lars E French
Journal:  J Invest Dermatol       Date:  2013-10-24       Impact factor: 8.551

6.  Adhesion and transcellular migration of neutrophils and B lymphocytes on fibroblasts.

Authors:  Patrick Couture; Jérémie Paradis-Massie; Nadia Oualha; Gaétan Thibault
Journal:  Exp Cell Res       Date:  2009-04-24       Impact factor: 3.905

Review 7.  Rosacea: a wholistic review and update from pathogenesis to diagnosis and therapy.

Authors:  Justin W Marson; Hilary E Baldwin
Journal:  Int J Dermatol       Date:  2019-12-27       Impact factor: 2.736

Review 8.  Recent advances in understanding and managing rosacea.

Authors:  Joerg Buddenkotte; Martin Steinhoff
Journal:  F1000Res       Date:  2018-12-03

9.  Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis.

Authors:  Weisong Cai; Haohuan Li; Yubiao Zhang; Guangtao Han
Journal:  PeerJ       Date:  2020-01-17       Impact factor: 2.984

10.  GRB10 and E2F3 as Diagnostic Markers of Osteoarthritis and Their Correlation with Immune Infiltration.

Authors:  Ya-Jun Deng; En-Hui Ren; Wen-Hua Yuan; Guang-Zhi Zhang; Zuo-Long Wu; Qi-Qi Xie
Journal:  Diagnostics (Basel)       Date:  2020-03-22
View more
  4 in total

1.  Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms.

Authors:  Ya Xi Zhu; Jia Qiang Huang; Yu Yang Ming; Zhao Zhuang; Hong Xia
Journal:  PLoS One       Date:  2021-10-29       Impact factor: 3.240

2.  Using a Machine Learning Approach to Identify Key Biomarkers for Renal Clear Cell Carcinoma.

Authors:  Xiaying Han; Dianwen Song
Journal:  Int J Gen Med       Date:  2022-03-30

3.  Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.

Authors:  Chenyang Li; Yongping Lu; Xiuping Han
Journal:  Front Mol Biosci       Date:  2022-07-14

Review 4.  The Role of Skin Immune System in Acne.

Authors:  Ewelina Firlej; Wioleta Kowalska; Karolina Szymaszek; Jacek Roliński; Joanna Bartosińska
Journal:  J Clin Med       Date:  2022-03-13       Impact factor: 4.241

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.