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通过综合分析鉴定关键细胞外蛋白作为桥本甲状腺炎潜在生物标志物并进行初步临床验证

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

作者信息

Xi Zihan, Yang Tinglin, Huang Tao, Zhou Jun, Yang Peng

机构信息

Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.

出版信息

Biomedicines. 2023 Nov 24;11(12):3127. doi: 10.3390/biomedicines11123127.

Abstract

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.

摘要

桥本甲状腺炎(HT)是一种自身免疫性疾病,表现为甲状腺组织中的免疫细胞浸润以及针对甲状腺特异性抗原产生抗体,如甲状腺过氧化物酶抗体(TPOAb)和甲状腺球蛋白抗体(TGAb)。TPOAb和TGAb常用于临床检测;然而,用于HT诊断和病情进展的便捷指标仍然匮乏。细胞外蛋白质会发生糖基化,可能进入体液并成为易于获取和检测的生物标志物。我们的研究旨在通过综合生物信息学分析和临床样本验证,发现与HT相关的细胞外生物标志物和潜在治疗靶点。通过来自基因表达综合数据库(GEO)的GSE138198数据集和蛋白质注释数据库筛选出总共19个细胞外蛋白质差异表达基因(EP-DEGs)。利用基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析EP-DEGs的功能和通路。使用STRING、Cytoscape、MCODE和Cytohubba构建蛋白质-蛋白质相互作用(PPI)网络并筛选关键的EP-DEGs。在GSE29315数据集中进一步验证了6个关键的EP-DEGs,并评估了诊断曲线,所有结果均显示对HT具有较高的诊断准确性(AUC>0.95)。免疫图谱揭示了这6个关键EP-DEGs与HT中关键免疫细胞的相关性,如CD8+T细胞、树突状细胞和Th2细胞。此外,我们还在临床甲状腺样本中证实了这些关键的EP-DEGs。我们的研究可能为揭示HT的发病机制以及改善HT的潜在诊断生物标志物和治疗策略提供生物信息学和临床证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c389/10740579/6c9c788258e1/biomedicines-11-03127-g001.jpg

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