Volume 11, Issue 3 (May-Jun 2017)                   mljgoums 2017, 11(3): 10-14 | Back to browse issues page


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Zandi M, Ebrahimifard M, moradi A. Evaluation of miR-101 Level in Patients with Chronic Hepatitis B Virus Infection and Liver Cirrhosis. mljgoums. 2017; 11 (3) :10-14
URL: http://mlj.goums.ac.ir/article-1-977-en.html
1- Department of Biology, College of Sciences, Damghan branch, Islamic Azad University, Damghan, Iran
2- Departement of Microbiology. Golestan University of Medical Sciences, Gorgan, Iran , abmoradi@gmail.com
Abstract:   (10583 Views)
ABSTRACT
       Background and Objective: MiRNAs are small RNAs that are expressed in most eukaryotes, and can regulate gene expression by attaching to the 3’ end of target mRNA. MicroRNA-101 (miR-101) post-transcriptional regulation is important for host-virus interactions. In addition, miR-101 has a tumor suppressive role in liver cancer and metastasis, and induces apoptosis in tumor cells. We examined miR-101 expression in patients with chronic hepatitis B, hepatitis B virus (HBV)-associated cirrhosis and healthy individuals.
       Methods: The study was performed on 108 whole blood samples (36 samples from each group) collected in EDTA tubes. RNA was extraction by RNX-plus kit according to the manufacturer’s protocol. Finally, miRNA expression was evaluated using relative real time PCR.
         Results: A 2.4-fold increase was observed in miR-101 expression in patients with chronic hepatitis B, while there was a 3.5-fold increase in miR-101 expression in patients with HBV-associated cirrhosis compared with healthy controls (P=0.003). MiR-101 overexpression in patients with HBV-associated cirrhosis was more notable that in patients with chronic hepatitis B.
         Conclusion: According to the results, evaluating miR-101 expression may predict disease progression from chronic hepatitis B to HBV-associated cirrhosis.
         Keywords: MicroRNAs, Chronic Hepatitis B, Liver Cirrhosis, MiR-101.
Full-Text [PDF 598 kb]   (992 Downloads)    
Research Article: Original Paper |
Received: 2017/08/7 | Accepted: 2017/08/7 | Published: 2017/08/7 | ePublished: 2017/08/7

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