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A latest and promising approach for prediction of viral load in hepatitis B virus infected patients

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 tota...

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Autores principales: Yalamanchili, Naresh, Syed, Rahamathullah, Chandra, Madhavi, Satti, Vishnupriya, Rao, Ramachandra, Mohammed, Aejaz Habeeb, Nanne, Khaja Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144682/
https://www.ncbi.nlm.nih.gov/pubmed/21814338
http://dx.doi.org/10.4103/0971-6866.83170
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author Yalamanchili, Naresh
Syed, Rahamathullah
Chandra, Madhavi
Satti, Vishnupriya
Rao, Ramachandra
Mohammed, Aejaz Habeeb
Nanne, Khaja Mohammed
author_facet Yalamanchili, Naresh
Syed, Rahamathullah
Chandra, Madhavi
Satti, Vishnupriya
Rao, Ramachandra
Mohammed, Aejaz Habeeb
Nanne, Khaja Mohammed
author_sort Yalamanchili, Naresh
collection PubMed
description 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 10(2) to 10(8). The calibration curve was linear in a range from 10(2) to 10(8) copies/ml, with an R(2) 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.
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spelling pubmed-31446822011-08-03 A latest and promising approach for prediction of viral load in hepatitis B virus infected patients Yalamanchili, Naresh Syed, Rahamathullah Chandra, Madhavi Satti, Vishnupriya Rao, Ramachandra Mohammed, Aejaz Habeeb Nanne, Khaja Mohammed Indian J Hum Genet Original Article 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 10(2) to 10(8). The calibration curve was linear in a range from 10(2) to 10(8) copies/ml, with an R(2) 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. Medknow Publications 2011 /pmc/articles/PMC3144682/ /pubmed/21814338 http://dx.doi.org/10.4103/0971-6866.83170 Text en Copyright: © Indian Journal of Human Genetics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Yalamanchili, Naresh
Syed, Rahamathullah
Chandra, Madhavi
Satti, Vishnupriya
Rao, Ramachandra
Mohammed, Aejaz Habeeb
Nanne, Khaja Mohammed
A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title_full A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title_fullStr A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title_full_unstemmed A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title_short A latest and promising approach for prediction of viral load in hepatitis B virus infected patients
title_sort latest and promising approach for prediction of viral load in hepatitis b virus infected patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3144682/
https://www.ncbi.nlm.nih.gov/pubmed/21814338
http://dx.doi.org/10.4103/0971-6866.83170
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