Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Gut Liver. 2017 Nov 15;11(6):860-869. doi: 10.5009/gnl16560.
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.
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.
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.
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.
背景/目的：探讨特定血清 microRNA（miRNA）水平作为慢性乙型肝炎病毒（HBV）感染患者区分 S0-S2（早期纤维化）与 S3-S4（晚期纤维化）的潜在非侵入性生物标志物的作用。
本研究纳入了 123 例未经治疗的慢性 HBV 感染患者，他们接受了肝活检。使用实时定量聚合酶链反应（PCR）检测选定 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。接收者操作特征（ROC）曲线和判别分析验证了这些预测变量区分 S0-S2 与 S3-S4 的能力。
血清 miR-29、miR-143、miR-223、miR-21 和 miR-374 水平随着纤维化从 S0-S2 进展到 S3-S4 而显著下调（p<0.05），但 miR-16 除外。多变量逻辑回归分析确定了一组三个 miRNA 和血小板与区分 S0-S2 与 S3-S4 的高诊断准确性相关，曲线下面积为 0.936。
除 miR-16 外，研究 miRNA 的水平随纤维化进展而变化。确定了一组能够区分 S0-S2 与 S3-S4 的 miRNA，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。
