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
Core Tip

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.