Identification and Preliminary Clinical Validation of Key Extracellular Proteins as the Potential Biomarkers in Hashimoto's Thyroiditis by Comprehensive Analysis

被引:4
|
作者
Xi, Zihan [1 ]
Yang, Tinglin [1 ]
Huang, Tao [1 ]
Zhou, Jun [1 ]
Yang, Peng [1 ]
Cappellano, Giuseppe
Czarnecka-Chrebelska, Karolina H.
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Breast & Thyroid Surg, Wuhan 430022, Peoples R China
关键词
autoimmune thyroid disease; Hashimoto's thyroiditis; extracellular protein; bioinformatics; chemokine; DISEASE; CHILDREN; HISTORY; RISK; AXIS; GENE;
D O I
10.3390/biomedicines11123127
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Hashimoto's thyroiditis (HT) is an autoimmune disruption manifested by immune cell infiltration in thyroid tissue and the production of antibodies against thyroid-specific antigens, such as the thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TGAb). TPOAb and TGAb are commonly used in clinical tests; however, handy indicators of the diagnosis and progression of HT are still scarce. Extracellular proteins are glycosylated and are likely to enter body fluids and become readily available and detectable biomarkers. Our research aimed to discover extracellular biomarkers and potential treatment targets associated with HT through integrated bioinformatics analysis and clinical sample validations. A total of 19 extracellular protein-differentially expressed genes (EP-DEGs) were screened by the GSE138198 dataset from the Gene Expression Omnibus (GEO) database and protein annotation databases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the function and pathway of EP-DEGs. STRING, Cytoscape, MCODE, and Cytohubba were used to construct a protein-protein interaction (PPI) network and screen key EP-DEGs. Six key EP-DEGs (CCL5, GZMK, CXCL9, CXCL10, CXCL11, and CXCL13) were further validated in the GSE29315 dataset and the diagnostic curves were evaluated, which all showed high diagnostic accuracy (AUC > 0.95) for HT. Immune profiling revealed the correlation of the six key EP-DEGs and the pivotal immune cells in HT, such as CD8+ T cells, dendritic cells, and Th2 cells. Further, we also confirmed the key EP-DEGs in clinical thyroid samples. Our study may provide bioinformatics and clinical evidence for revealing the pathogenesis of HT and improving the potential diagnosis biomarkers and therapeutic strategies for HT.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Identification and experimental validation of genes associated with programmed cell death in dendritic cells of the thyroid tissue in Hashimoto's thyroiditis
    Yang, Dongyu
    Wang, Xichang
    Sun, Ying
    Shao, Ying
    Shi, Xiaoguang
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 142
  • [22] Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies
    Xue, Han
    Sun, Zhaojun
    Wu, Weiqing
    Du, Dong
    Liao, Shuping
    CANCER MANAGEMENT AND RESEARCH, 2021, 13 : 117 - 131
  • [23] Identification and Analysis of Potential Biomarkers Associated with Neutrophil Extracellular Traps in Cervicitis
    Liang, Wantao
    Bai, Yanyuan
    Zhang, Hua
    Mo, Yan
    Li, Xiufang
    Huang, Junming
    Lei, Yangliu
    Gao, Fangping
    Dong, Mengmeng
    Li, Shan
    Liang, Juan
    BIOCHEMICAL GENETICS, 2024,
  • [24] Identification of potential diagnostic biomarkers associated with periodontitis by comprehensive bioinformatics analysis
    Gao, Sixue
    Lin, Meina
    Chen, Wei
    Chen, Xinren
    Tian, Zhiying
    Jia, Tong
    Xue, Yang
    Song, Jie
    Lu, Yongping
    Zhou, Linxi
    Wu, Liuzhong
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [25] Identification of key genes as potential diagnostic biomarkers in sepsis by bioinformatics analysis
    Lin, Guoxin
    Li, Nannan
    Liu, Jishi
    Sun, Jian
    Zhang, Hao
    Gui, Ming
    Zeng, Youjie
    Tang, Juan
    PEERJ, 2024, 12
  • [26] Identification of potential biomarkers for papillary thyroid carcinoma by comprehensive bioinformatics analysis
    Liao, Min
    Wang, Zhen
    Yao, Jiawei
    Xing, Hengte
    Hao, Yarong
    Qiu, Bo
    MOLECULAR AND CELLULAR BIOCHEMISTRY, 2023, 478 (09) : 2111 - 2123
  • [27] Identification and validation of key biomarkers and potential therapeutic targets for primary open-angle glaucoma
    Wu, Jian
    Lin, Caixia
    Yang, Chenlong
    Pan, Lijie
    Liu, Hongyi
    Zhu, Sirui
    Wei, Shuwen
    Jia, Xu
    Zhang, Qi
    Yu, Ziyu
    Zhao, Xiaofang
    Liu, Weihai
    Zhuo, Yehong
    Wang, Ningli
    SCIENCE CHINA-LIFE SCIENCES, 2023, 66 (12) : 2837 - 2850
  • [28] Identification of biomarkers related to immune and inflammation in membranous nephropathy: comprehensive bioinformatic analysis and validation
    Zhang, Pingna
    Geng, Yunling
    Tang, Jingyi
    Cao, Zijing
    Xiang, Xiaojun
    Yang, Kezhen
    Chen, Hongbo
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [29] Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation in vivo
    Chen, Chuanzhen
    Wu, Yinteng
    Lu, Hai-Lin
    Liu, Kai
    Qin, Xiao
    PEERJ, 2022, 10
  • [30] Identification and validation of potential biomarkers for atrial fibrillation based on integrated bioinformatics analysis
    Tong, Fei
    Sun, Zhijun
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2024, 11