Serum MicroRNA Levels as a Noninvasive Diagnostic Biomarker for the Early Diagnosis of Hepatitis B Virus-Related Liver Fibrosis.
- Author:
Suxia BAO
1
;
Jianming ZHENG
;
Ning LI
;
Chong HUANG
;
Mingquan CHEN
;
Qi CHENG
;
Kangkang YU
;
Shengshen CHEN
;
Mengqi ZHU
;
Guangfeng SHI
Author Information
- Publication Type:Original Article
- Keywords: Biomarkers; Hepatitis B virus; Hepatitis B; chronic; Liver fibrosis; MicroRNAs
- MeSH: Biomarkers; Biopsy; Early Diagnosis*; Fibrosis; Hepatitis B virus; Hepatitis B*; Hepatitis B, Chronic; Hepatitis*; Humans; Liver Cirrhosis*; Liver*; Logistic Models; MicroRNAs*; Polymerase Chain Reaction; ROC Curve
- From:Gut and Liver 2017;11(6):860-869
- CountryRepublic of Korea
- Language:English
- Abstract: 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.
