Literature DB >> 25716104

Establishment of a simple model for hepatitis B virus infection status based on trait marker from quantitative measurement of serum markers.

Zhang Ningyu1, Zhang Ying, Liu Hui.   

Abstract

The objectives of this study were to establish a simple model based on quantitative serum markers of hepatitis B virus (HBV) infection to understand the complex immune response to HBV. Patients samples were obtained from individuals with active HBV infection (alanine transaminase [ALT]-positive, aspartate aminotransferase [AST]-positive and HBsAg-positive), or patients who had recovered from infection (ALT-negative, AST-negative, anti-HBs-positive and either HBsAg, HBeAg, anti-HBe or anti-HBc positive). HBV quantitative markers, including HBsAg, anti-HBs, HBeAg, anti-HBe, and anti-HBc, were measured using a chemiluminescent microparticle immunoassay. Based on cut-off values, anti-HBs levels were converted to a ratio (sample value/cut-off value, RV). Anti-HBe and anti-HBc levels were determined using a competition method, resulting in the use of a ratio (cut-off value/sample value, RV) for determination of anti-HBe and anti-HBc values. The greater RV value in a patient was considered as a trait marker for HBV infection (TMHB) of this patient. Patients with TMHB including HBsAg or HBeAg were defined as TMHB-Ag; and patients with TMHB including anti-HBs, anti-HBe, or anti-HBc TMHB were defined as TMHB-Ab. The percentage of patients determined to be TMHB-Ag was 96.3% in the HBV group. The percentage of patients determined to be TMHB-Ab was 94.7% in recovery group. TMHBs could be used to analyze different status of HBV infection.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  chronic infection; hepatitis B virus; quantitative analysis

Mesh:

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Year:  2015        PMID: 25716104     DOI: 10.1002/jmv.24156

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


  1 in total

1.  Diagnostic value of trait antinuclear antibodies and multiple immunoglobulin production in autoimmune diseases.

Authors:  Liping Wan; Hong Zhu; Yanan Gu; Hui Liu
Journal:  J Clin Lab Anal       Date:  2017-11-23       Impact factor: 2.352

  1 in total

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