Literature DB >> 29023858

Interleukin-1 gene cluster Haplotype analysis in the chronic outcome prediction of the Hepatitis B virus infection.

Bita Javan1, Mohamad R Kalani1,2, Majid Shahbazi1.   

Abstract

Hepatitis B virus (HBV) infection is well known as an important cause of the chronic liver disease. The screening of the genotype of certain cytokines might be helpful to predict the clinical outcome of an HBV infection. The present study investigates the relationship between the polymorphism and haplotypes of the Interleukin-1 (IL-1) gene family, including IL-1-alpha (IL-1A), IL-1-beta (IL-1B,) and IL-1 receptor antagonist (IL-1RN), with chronic HBV infection. A total of 297 chronic HBV and 333 matched on sex and age control individuals were genotyped using the standard sequence-specific-polymerase chain reaction primer (SSP-PCR) method. Four different haplotype analysis software packages were applied for data interpretation. The results showed excess genotype A1/A1 and A2/A2 at IL-1RN (40.2%, 39.9%), C/T at IL-1A-889 (55.6%), and C/C at IL-1B-511 (41.1%) in controls while A1/A1 at IL-1RN (59.3%), T/T at IL-1B-31 (46.5%), C/T at IL-1B + 3953 (65%), in chronic HBV infection cases. A total of 148 haplotypes were observed overall (96 in the case group and 89 in the control group). The haplotype combination of genotype A1/A1 at IL1-RN along with a C/T for all three IL-1B polymorphic positions and either C/T or T/T at the IL-1A-899 position may increase the probability of the chronic outcome for the HBV infection.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  chronic hepatitis B infection; clinical outcome prediction; haplotype; interleukin-1

Mesh:

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Year:  2017        PMID: 29023858     DOI: 10.1002/jmv.24972

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  2 in total

1.  Highly sensitive chemiluminescent aptasensor for detecting HBV infection based on rapid magnetic separation and double-functionalized gold nanoparticles.

Authors:  Zhijiang Xi; Quan Gong; Chao Wang; Bing Zheng
Journal:  Sci Rep       Date:  2018-06-21       Impact factor: 4.379

2.  MCPIP1 reduces HBV-RNA by targeting its epsilon structure.

Authors:  Yingfang Li; Lusheng Que; Kento Fukano; Miki Koura; Kouichi Kitamura; Xin Zheng; Takanobu Kato; Hussein Hassan Aly; Koichi Watashi; Senko Tsukuda; Hideki Aizaki; Noriyuki Watanabe; Yuko Sato; Tadaki Suzuki; Hiroshi I Suzuki; Kazuyoshi Hosomichi; Makoto Kurachi; Kousho Wakae; Masamichi Muramatsu
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

  2 in total

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