Clinical and Translational Research
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 26, 2022; 10(18): 5965-5983
Published online Jun 26, 2022. doi: 10.12998/wjcc.v10.i18.5965
Identification of potential key molecules and signaling pathways for psoriasis based on weighted gene co-expression network analysis
Xin Shu, Xiao-Xia Chen, Xin-Dan Kang, Min Ran, You-Lin Wang, Zhen-Kai Zhao, Cheng-Xin Li
Xin Shu, Department of Dermatology, The Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China
Xin Shu, Chinese PLA Medical School, Beijing 100853, China
Xiao-Xia Chen, Department of Radiology, The Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China
Xin-Dan Kang, Department of Comprehensive Surgical, The Second Medical Center of Chinese PLA General Hospital, Beijing 100089, China
Min Ran, Department of Endocrine, The Third Medical Center of Chinese PLA General Hospital, Beijing 100039, China
You-Lin Wang, Zhen-Kai Zhao, Cheng-Xin Li, Department of Dermatology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
Author contributions: Shu X contributed to the conception and design; Li CX performed the administrative support; Wang YL and Kang XD provide materials and samples; Shu X, Ran M, and Chen XX contributed to the data collection and collation; Shu X and Zhao ZK contributed to the data analysis and interpretation; All authors read and approved the final version of the manuscript.
Institutional review board statement: All experimental procedures were approved by the ethics committee of Chinese PLA General Hospital, No. S2021-012-01.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: All data generated or analyzed during this study are included in this published article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Cheng-Xin Li, Doctor, Department of Dermatology, The First Medical Center of Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. dr_xincheng@163.com
Received: February 17, 2022
Peer-review started: February 17, 2022
First decision: March 29, 2022
Revised: March 30, 2022
Accepted: May 22, 2022
Article in press: May 22, 2022
Published online: June 26, 2022
Processing time: 120 Days and 0.7 Hours
Abstract
BACKGROUND

Psoriasis is a chronic inflammatory skin disease, the pathogenesis of which is more complicated and often requires long-term treatment. In particular, moderate to severe psoriasis usually requires systemic treatment. Psoriasis is also associated with many diseases, such as cardiometabolic diseases, malignant tumors, infections, and mood disorders. Psoriasis can appear at any age, and lead to a substantial burden for individuals and society. At present, psoriasis is still a treatable, but incurable, disease. Previous studies have found that microRNAs (miRNAs) play an important regulatory role in the progression of various diseases. Currently, miRNAs studies in psoriasis and dermatology are relatively new. Therefore, the identification of key miRNAs in psoriasis is helpful to elucidate the molecular mechanism of psoriasis.

AIM

To identify key molecular markers and signaling pathways to provide potential basis for the treatment and management of psoriasis.

METHODS

The miRNA and mRNA data were obtained from the Gene Expression Omnibus database. Then, differentially expressed mRNAs (DEmRNAs) and differentially expressed miRNAs (DEmiRNAs) were screened out by limma R package. Subsequently, DEmRNAs were analyzed for Gene Ontology and Kyoto Encyclopedia of Genes and Genomics functional enrichment. The “WGCNA” R package was used to analyze the co-expression network of all miRNAs. In addition, we constructed miRNA-mRNA regulatory networks based on identified hub miRNAs. Finally, in vitro validation was performed. All experimental procedures were approved by the ethics committee of Chinese PLA General Hospital (S2021-012-01).

RESULTS

A total of 639 DEmRNAs and 84 DEmiRNAs were identified. DEmRNAs screening criteria were adjusted P (adj. P) value < 0.01 and |logFoldChange| (|logFC|) > 1. DEmiRNAs screening criteria were adj. P value < 0.01 and |logFC| > 1.5. KEGG functional analysis demonstrated that DEmRNAs were significantly enriched in immune-related biological functions, for example, toll-like receptor signaling pathway, cytokine-cytokine receptor interaction, and chemokine signaling pathway. In weighted gene co-expression network analysis, turquoise module was the hub module. Moreover, 10 hub miRNAs were identified. Among these 10 hub miRNAs, only 8 hub miRNAs predicted the corresponding target mRNAs. 97 negatively regulated miRNA-mRNA pairs were involved in the miRNA-mRNA regulatory network, for example, hsa-miR-21-5p-claudin 8 (CLDN8), hsa-miR-30a-3p-interleukin-1B (IL-1B), and hsa-miR-181a-5p/hsa-miR-30c-2-3p-C-X-C motif chemokine ligand 9 (CXCL9). Real-time polymerase chain reaction results showed that IL-1B and CXCL9 were up-regulated and CLDN8 was down-regulated in psoriasis with statistically significant differences.

CONCLUSION

The identification of potential key molecular markers and signaling pathways provides potential research directions for further understanding the molecular mechanisms of psoriasis. This may also provide new research ideas for the prevention and treatment of psoriasis in the future.

Keywords: Psoriasis; MicroRNAs; Weighted gene co-expression network analysis; Functional enrichment; MicroRNA-mRNA regulatory network

Core Tip: Psoriasis is a common chronic, recurrent, immune-regulatory skin and joint disease. Although psoriasis is widespread and has significant negative impact on patients’ life quality, it has not yet been fully diagnosed and treated. Moreover, it is also associated with many other diseases. So far, psoriasis is still a treatable, but incurable, disease. We use weighted gene co-expression network analysis to identify key modules and microRNAs (miRNAs) related to psoriasis and explore potential key pathways related to psoriasis through the targeting relationship of miRNA-mRNA. This provides new research ideas for the prevention and treatment of psoriasis in the future.