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首页> 外文期刊>Gut and Liver >Serum MicroRNA Levels as a Noninvasive Diagnostic Biomarker for the Early Diagnosis of Hepatitis B Virus-Related Liver Fibrosis
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Serum MicroRNA Levels as a Noninvasive Diagnostic Biomarker for the Early Diagnosis of Hepatitis B Virus-Related Liver Fibrosis

机译:血清MicroRNA水平作为乙型肝炎病毒相关性肝纤维化的早期诊断的非侵入性诊断生物标志物

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Background/Aims To investigate the role of selected serum microRNA (miRNA) levels as potential noninvasive biomarkers for differentiating S0–S2 (early fibrosis) from S3–S4 (late fibrosis) in patients with a chronic hepatitis B virus (HBV) infection. Methods One hundred twenty-three treatment-naive patients with a chronic HBV infection who underwent a liver biopsy were enrolled in this study. The levels of selected miRNAs were measured using a real-time quantitative polymerase chain reaction assay. A logistic regression analysis was performed to assess factors associated with fibrosis progression. Receiver operating characteristic (ROC) curve and discriminant analyses validated these the ability of these predicted variables to discriminate S0–S2 from S3–S4. Results Serum miR-29, miR-143, miR-223, miR-21, and miR-374 levels were significantly downregulated as fibrosis progressed from S0–S2 to S3–S4 (p<0.05), but not miR-16. The multivariate logistic regression analysis identified a panel of three miRNAs and platelets that were associated with a high diagnostic accuracy in discriminating S0–S2 from S3–S4, with an area under the curve of 0.936. Conclusions The levels of the studied miRNAs, with the exception of miR-16, varied with fibrosis progression. A panel was identified that was capable of discriminating S0–S2 from S3–S4, indicating that serum miRNA levels could serve as a potential noninvasive biomarker of fibrosis progression.
机译:背景/目的研究慢性乙型肝炎病毒(HBV)感染患者中选定的血清微小RNA(miRNA)水平作为潜在的非侵入性生物标志物,以区分S0–S2(早期纤维化)与S3–S4(晚期纤维化)的作用。方法123例未经治疗的慢性HBV感染患者接受了肝活检。使用实时定量聚合酶链反应测定法测量所选miRNA的水平。进行逻辑回归分析以评估与纤维化进展相关的因素。接收器工作特性(ROC)曲线和判别分析验证了这些预测变量区分S0–S2和S3–S4的能力。结果随着纤维化从S0–S2到S3–S4的进展,血清miR-29,miR-143,miR-223,miR-21和miR-374的水平显着下调(p <0.05),但miR-16没有。多元logistic回归分析确定了一组三个miRNA和血小板,它们在区分S0–S2和S3–S4方面具有很高的诊断准确性,其曲线下面积为0.936。结论除miR-16外,研究的miRNA的水平随纤维化进程而变化。确定了一个能够区分S0–S2和S3–S4的小组,表明血清miRNA水平可以作为纤维化进展的潜在非侵入性生物标志物。

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