Abstract

BackgroundCurrent methodologies used to determine the progression of hepatic fibrosis rely heavily on liver biopsy, a dangerous and invasive procedure, with semi-subjective analysis of the results of the biopsy. Thus, a new approach is immensely needed for monitoring the progression of liver fibrosis in Hepatitis C virus (HCV) patients. Aim of workThe purpose of this study was to find highly specific and sensitive miRNA biomarkers that can be used to detect different stages of liver fibrosis. MethodologyThe study consisted of 42 cases of chronic hepatitis C (CHC) with early-stage fibrosis, 45 cases of CHC with late-stage fibrosis, and 40 healthy subjects with no CHC or fibrosis as controls. Expression patterns of 5 miRNAs (miR-16, miR-146a, miR-214-5p, miR-221, and miR-222) were analyzed in each group using TaqMan real-time PCR. ResultsSerum levels of miRNA-16, miRNA-146a, miRNA-221, and miRNA-222 were all significantly up-regulated in early and late stages of liver fibrosis. miRNA-222 had the highest sensitivity and specificity values in early and late fibrosis. miRNA-221 had the second highest sensitivity and specificity with the late-stage fibrosis group. Furthermore, miRNA-221 showed significant positive correlations with both miRNA-16 and miRNA-146a in the early- and late-stage fibrosis groups, with the early stage having a stronger correlation. ConclusionsThe results indicated that miRNA-16, miRNA-146a, miRNA-221, and miRNA-222 can be used to detect the presence of liver fibrosis. The high sensitivity and specificity of miRNA-222 and miRNA-221 in late-stage fibrosis indicate promising prognostic biomarkers for HCV-induced liver fibrosis.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.