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A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
Authors:Yalamanchili Naresh  Syed Rahamathullah  Chandra Madhavi  Satti Vishnupriya  Rao Ramachandra  Mohammed Aejaz Habeeb  Nanne Khaja Mohammed
Institution:Department of Gastroenterology, Centre for Liver Research and Diagnostics, Owaisi Hospital and Research Centre, Kanchanbagh, Hyderabad, India.
Abstract:

INTRODUCTION:

Designing a rapid, reliable and sensitive assay for detection of hepatitis B virus (HBV) variants by real-time PCR is challenging at best. A recent approach for quantifying the viral load using a sensitive fluorescent principle was brushed in this study.

MATERIALS AND METHODS

: A total of 250 samples were collected from the outpatient unit, CLRD. Complete Human HBVDNA sequences (n = 944) were selected from the National Centre for Biotechnology Information (NCBI), primers and probes were designed and synthesized from the core, surface, and x region. Real-time based quantification was carried out using a standard kit and in-house generated standards and RT-PCR protocols.

RESULTS AND DISCUSSION:

The standard calibration curve was generated by using serial dilution 102 to 108. The calibration curve was linear in a range from 102 to 108 copies/ml, with an R2 value of 0.999. Reproducibility as measured by dual testing of triplicates of serum samples was acceptable, with coefficients of variation at 6.5%, 7.5%, and 10.5%. Our results showed that amplification performance was good in the case of the x-region-based design (98%). Out of 100 negative samples screened by enzyme linked immunosorbent assay and the standard RT-PCR kit, one sample was detected as positive with the in-house developed RT-PCR assay, the positivity of the sample was confirmed by sequencing the amplified product, NCBI accession EU684022.

CONCLUSION:

This assay is reproducible showing limited inter- and intra-assay variability. We demonstrate that the results of our assay correlated well with the standard kit for the HBV viral load monitor.
Keywords:Hepatitis B virus  quantification  real-time Polymerase Chain Reaction  TaqMan chemistry 19p 13  3  genetic markers
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