CircRNA_0001412和CircRNA_0001566作为类风湿关节炎诊断的潜在生物标志物

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xin Li, Ao Deng, Zehao Wang, Shenling Liao, Kaihong Luo, Jing Hu, Bin Yang
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引用次数: 0

摘要

类风湿关节炎(RA)是一种致残率高的慢性自身免疫性疾病,需要早期诊断。本研究探讨了circRNAs,特别是CircRNA_0001412和CircRNA_0001566作为RA诊断生物标志物的潜力。研究人员对RA患者和健康对照者的外周血单个核细胞(PBMCs)进行了高通量转录组测序,以鉴定差异表达的环状rna。使用反转录定量PCR (RT-qPCR)验证了78名RA患者和82名健康对照的独立队列中的circRNA表达。进行受试者工作特征(ROC)曲线分析,评估所选环状rna的诊断价值。与临床指标如CRP、ESR、CCP、RF、WBC、淋巴细胞计数和单核细胞计数进行相关性分析。进行生物信息学分析,包括GO和KEGG途径富集,以探索鉴定的circrna和相关mirna的功能作用。共有54个circrna在RA中被鉴定为差异表达,其中21个circrna上调,33个circrna下调。其中CircRNA_0001412和CircRNA_0001566在RA PBMCs中高表达,作为诊断生物标志物具有良好的敏感性和特异性(AUC = 0.751 (95%CI 0.673, 0.830)和0.605(95%CI 0.516, 0.694))。这些环状rna的联合分析进一步提高了诊断性能(AUC = 0.776 (95%CI 0.702, 0.851))。值得注意的是,CircRNA_0001412显示出与CRP的显著相关性,这表明它有可能作为RA疾病严重程度的生物标志物。生物信息学分析预测CircRNA_0001412和CircRNA_0001566可通过PI3K-Akt信号通路促进t细胞活化,参与RA发病。CircRNA_0001412和CircRNA_0001566是有希望诊断RA的生物标志物,CircRNA_0001412还可作为炎症活性的潜在指标。这些发现为进一步研究circrna在RA中的诊断和预后应用提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CircRNA_0001412 and CircRNA_0001566 as Potential Biomarkers for the Diagnosis of Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic autoimmune disease with high disability rates, necessitating early diagnosis. This study investigated the potential of circRNAs, specifically CircRNA_0001412 and CircRNA_0001566, as diagnostic biomarkers for RA. High-throughput transcriptome sequencing was performed on peripheral blood mononuclear cells (PBMCs) from RA patients and healthy controls to identify differentially expressed circRNAs. Reverse transcription quantitative PCR (RT-qPCR) was used to validate circRNA expression in an independent cohort of 78 RA patients and 82 healthy controls. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic value of the selected circRNAs. Correlation analyses with clinical markers such as CRP, ESR, CCP, RF, WBC, lymphocyte count, and monocyte count were also conducted. Bioinformatics analyses, including GO and KEGG pathway enrichment, were conducted to explore the functional roles of the identified circRNAs and associated miRNAs. A total of 54 circRNAs were identified as differentially expressed in RA, with 21 circRNAs upregulated and 33 downregulated. Among these, CircRNA_0001412 and CircRNA_0001566 were highly expressed in RA PBMCs and demonstrated good sensitivity and specificity as diagnostic biomarkers (AUC = 0.751 (95%CI 0.673, 0.830) and 0.605(95%CI 0.516, 0.694)). Combined analysis of these circRNAs further improved diagnostic performance (AUC = 0.776 (95%CI 0.702, 0.851)). Notably, CircRNA_0001412 showed a significant correlation with CRP, suggesting its potential as a biomarker for RA disease severity. Bioinformatics analysis predicted that CircRNA_0001412 and CircRNA_0001566 could promote T-cell activation via the PI3K-Akt signaling pathway, contributing to RA pathogenesis. CircRNA_0001412 and CircRNA_0001566 are promising diagnostic biomarkers for RA, with CircRNA_0001412 additionally serving as a potential indicator of inflammatory activity. These findings provide a basis for further research into the diagnostic and prognostic utility of circRNAs in RA.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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