Bioinformatics Identification of Ferroptosis-Associated Biomarkers and Therapeutic Compounds in Psoriasis

被引:14
|
作者
Mao, Jingyi [1 ]
Ma, Xin [2 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Dept Dermatol, Shuguang Hosp, Shanghai 200000, Peoples R China
[2] Tongji Univ, Shanghai Skin Dis Hosp, Sch Med, Shanghai 200000, Peoples R China
基金
中国国家自然科学基金;
关键词
CELLS;
D O I
10.1155/2022/3818216
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose. Psoriasis is closely linked to ferroptosis. This study aimed to identify potential ferroptosis-associated genes in psoriasis using bioinformatics. Methods. Data from the GSE30999 dataset was downloaded from the Gene Expression Omnibus (GEO), and the ferroptosis-associated genes were retrieved from FerrDb. The differentially expressed ferroptosis-associated genes were identified using Venn diagrams. Subsequently, a network of protein-protein interactions (PPIs) between psoriasis targets and ferroptosis-associated genes was constructed based on the STRING database and analyzed by Cytoscape software. The Metascape portal conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Moreover, the expression of ferroptosis-related genes was verified in the GSE13355 dataset. Finally, the verified genes were used to predict the therapeutic drugs for psoriasis using the DGIdb/CMap database. SwissDock was used to examine ligand docking, and UCSF Chimera displayed the results visually. Results. Among 85 pairs of psoriasis lesion (LS) and no-lesion (NL) samples from patients, 19 ferroptosis-associated genes were found to be differentially expressed (3 upregulated genes and 16 downregulated genes). Based on the PPI results, these ferroptosis-associated genes interact with each other. The GO and KEGG enrichment analysis of differentially expressed ferroptosis-related genes indicated several enriched terms related to the oxidative stress response. The GSE13355 dataset verified the results of the bioinformatics analysis obtained from the GSE30999 dataset regarding SLC7A5, SLC7A11, and CHAC1. Psoriasis-related compounds corresponding to SLC7A5 and SLC7A11 were also identified, including Melphalan, Quisqualate, Riluzole, and Sulfasalazine. Conclusion. We identified 3 differentially expressed ferroptosis-related genes through bioinformatics analysis. SLC7A5, SLC7A11, and CHAC1 may affect the development of psoriasis by regulating ferroptosis. These results open new avenues in understanding the treatment of psoriasis.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Exploring Ferroptosis-Associated Gene Signatures as Diagnostic and Therapeutic Targets for Sepsis-Induced Cardiomyopathy
    Huang, Haobin
    Ge, Chenbo
    Dai, Yawei
    Wu, Yanhu
    Zhu, Jinfu
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (05)
  • [32] Discovery and Validation of Ferroptosis-Associated Genes of Ulcerative Colitis
    Zhu, Jiejie
    Wu, Yumei
    Ge, Xiaoyuan
    Chen, Xinwen
    Mei, Qiao
    JOURNAL OF INFLAMMATION RESEARCH, 2024, 17 : 4467 - 4482
  • [33] A ferroptosis-associated gene signature for the prediction of prognosis and therapeutic response in luminal-type breast carcinoma
    Peng, Yang
    Yu, Haochen
    Zhang, Yingzi
    Qu, Fanli
    Tang, Zhenrong
    Qu, Chi
    Tian, Jiao
    Zong, Beige
    Wang, Yu
    Ren, Haoyu
    Liu, Shengchun
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [34] Identification of osteoporosis ferroptosis-related markers and potential therapeutic compounds based on bioinformatics methods and molecular docking technology
    Long, Shi-Wei
    Li, Shi-Hong
    Li, Jian
    He, Yang
    Tan, Bo
    Jing, Hao-Han
    Zheng, Wei
    Wu, Juan
    BMC MEDICAL GENOMICS, 2024, 17 (01)
  • [35] Identification of Biomarkers Associated with Melanoma based on Bioinformatics Analysis
    Zoul, Xuelian
    Liz, Tingting
    Zhang, Xiangyue
    Kangl, Xiaojing
    IRANIAN RED CRESCENT MEDICAL JOURNAL, 2023, 25 (11)
  • [36] A ferroptosis-associated gene signature for the prediction of prognosis and therapeutic response in luminal-type breast carcinoma
    Yang Peng
    Haochen Yu
    Yingzi Zhang
    Fanli Qu
    Zhenrong Tang
    Chi Qu
    Jiao Tian
    Beige Zong
    Yu Wang
    Haoyu Ren
    Shengchun Liu
    Scientific Reports, 11
  • [37] Bioinformatics identification of ferroptosis-related genes and therapeutic drugs in rheumatoid arthritis
    Li, Xianbin
    He, Andong
    Liu, Yue
    Huang, Yuye
    Zhang, Xueli
    FRONTIERS IN MEDICINE, 2023, 10
  • [38] Identification of Molecular Subtypes and a Novel Prognostic Model of Sepsis Based on Ferroptosis-Associated Gene Signature
    Yang, Hang
    Cui, Yanhui
    Peng, Wenzhong
    Zhu, Fei
    Ma, Shiyang
    Rao, Mingjun
    Zhang, Peipei
    Chen, Jie
    Pan, Pinhua
    BIOMOLECULES, 2022, 12 (10)
  • [39] Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis
    Gong, Cheng-Wu
    Yuan, Ming-Ming
    Qiu, Bai-Quan
    Wang, Li-Jun
    Zou, Hua-Xi
    Hu, Tie
    Lai, Song-Qing
    Liu, Ji-Chun
    FRONTIERS IN GENETICS, 2022, 13
  • [40] Identification of promising biomarkers to predict therapeutic response to biologics in psoriasis
    Medeiros, A.
    Grine, L.
    Van Gele, M.
    Spuls, P.
    Lambert, J.
    BRITISH JOURNAL OF DERMATOLOGY, 2017, 177 (05) : E276 - E277