Clinical establishment of a laboratory developed quantitative HDV PCR assay on the cobas6800 high-throughput system.

CE-IVD, CE-marked in vitro diagnostics EQA, external quality assessment GT, genotypes HDV, Hepatitis delta virus HDV_UCT, HDV utility-channel LLOD, lower limit of detection RT-qPCR, Real time reverse transcription polymerase chain reaction RT-qPCR, reverse transcription quantitative real-time PCR WHO, world health organization cHDV, chronic HDV infection cobas6800 molecular diagnostics quantification viral hepatitis

Journal

JHEP reports : innovation in hepatology
ISSN: 2589-5559
Titre abrégé: JHEP Rep
Pays: Netherlands
ID NLM: 101761237

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 04 05 2021
revised: 03 08 2021
accepted: 17 08 2021
entrez: 29 10 2021
pubmed: 30 10 2021
medline: 30 10 2021
Statut: epublish

Résumé

Currently available HDV PCR assays are characterized by considerable run-to-run and inter-laboratory variability. Hence, we established a quantitative reverse transcription real-time PCR (RT-qPCR) assay on the open channel of a fully automated PCR platform (cobas6800, Roche) offering improved consistency and reliability. A primer/probe-set targeting a highly conserved region upstream of the HDV antigen was adapted for use on the cobas6800. The lower limit of detection (LLOD) was determined using a dilution panel of the HDV WHO standard (n = 21/dilution). Linearity and inclusivity were tested by preparing 10-fold dilution series of cell culture-derived virus (genotype [GT]1-8; n = 5/dilution). Patient samples containing a variety of bloodborne viral pathogens were tested to confirm exclusivity (n = 60). The LLOD of the HDV utility-channel (HDV_UTC) assay was determined as 3.86 IU/ml (95% CI 2.95-5.05 IU/ml) with a linear range from 10-10ˆ8 IU/ml (GT1). Linear relationships were observed for all HDV GTs with slopes ranging from -3.481 to -4.134 cycles/log and R The use of highly automated, sample-to-result solutions for molecular diagnostics holds many inherent benefits over manual workflows, including improved reliability, reproducibility and dynamic scaling of testing capacity. The assay we established showed excellent analytical and clinical performance, with inclusivity for all HDV GTs and a limit of quantification of 10 IU/ml, making it a sensitive new tool for HDV screening and viral load monitoring. The hepatitis delta virus (HDV) causes a severe form of inflammation in the liver. We developed a tool for molecular diagnostics, a polymerase chain reaction HDV assay that showed great performance. It can be used to improve diagnosis of HDV, as well as for monitoring treatment responses. The assay allows for quantification of the virus in the tested samples and is performed on a fully automated platform (cobas6800), which provides various benefits including less hands-on time and excellent comparability of test results.

Sections du résumé

BACKGROUND & AIMS OBJECTIVE
Currently available HDV PCR assays are characterized by considerable run-to-run and inter-laboratory variability. Hence, we established a quantitative reverse transcription real-time PCR (RT-qPCR) assay on the open channel of a fully automated PCR platform (cobas6800, Roche) offering improved consistency and reliability.
METHODS METHODS
A primer/probe-set targeting a highly conserved region upstream of the HDV antigen was adapted for use on the cobas6800. The lower limit of detection (LLOD) was determined using a dilution panel of the HDV WHO standard (n = 21/dilution). Linearity and inclusivity were tested by preparing 10-fold dilution series of cell culture-derived virus (genotype [GT]1-8; n = 5/dilution). Patient samples containing a variety of bloodborne viral pathogens were tested to confirm exclusivity (n = 60).
RESULTS RESULTS
The LLOD of the HDV utility-channel (HDV_UTC) assay was determined as 3.86 IU/ml (95% CI 2.95-5.05 IU/ml) with a linear range from 10-10ˆ8 IU/ml (GT1). Linear relationships were observed for all HDV GTs with slopes ranging from -3.481 to -4.134 cycles/log and R
CONCLUSION CONCLUSIONS
The use of highly automated, sample-to-result solutions for molecular diagnostics holds many inherent benefits over manual workflows, including improved reliability, reproducibility and dynamic scaling of testing capacity. The assay we established showed excellent analytical and clinical performance, with inclusivity for all HDV GTs and a limit of quantification of 10 IU/ml, making it a sensitive new tool for HDV screening and viral load monitoring.
LAY SUMMARY BACKGROUND
The hepatitis delta virus (HDV) causes a severe form of inflammation in the liver. We developed a tool for molecular diagnostics, a polymerase chain reaction HDV assay that showed great performance. It can be used to improve diagnosis of HDV, as well as for monitoring treatment responses. The assay allows for quantification of the virus in the tested samples and is performed on a fully automated platform (cobas6800), which provides various benefits including less hands-on time and excellent comparability of test results.

Identifiants

pubmed: 34712932
doi: 10.1016/j.jhepr.2021.100356
pii: S2589-5559(21)00132-4
pmc: PMC8531665
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100356

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

Marc Lütgehetmann has received travel expenses and speakers’ honoraria (Roche Diagnostics). The other authors declare that they have no conflict of interest. Please refer to the accompanying ICMJE disclosure forms for further details.

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Auteurs

Lisa Sophie Pflüger (LS)

Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Dominik Nörz (D)

Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Tassilo Volz (T)

I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Katja Giersch (K)

I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Annika Giese (A)

Institute of Medical Virology, National Reference Centre for Hepatitis B Viruses and Hepatitis D Viruses, Justus Liebig University Giessen, Giessen, Germany.
German Center for Infection Research (DZIF), Giessen-Marburg-Langen, Germany.

Nora Goldmann (N)

Institute of Medical Virology, National Reference Centre for Hepatitis B Viruses and Hepatitis D Viruses, Justus Liebig University Giessen, Giessen, Germany.
German Center for Infection Research (DZIF), Giessen-Marburg-Langen, Germany.

Dieter Glebe (D)

Institute of Medical Virology, National Reference Centre for Hepatitis B Viruses and Hepatitis D Viruses, Justus Liebig University Giessen, Giessen, Germany.
German Center for Infection Research (DZIF), Giessen-Marburg-Langen, Germany.

Jan-Hendrik Bockmann (JH)

I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany.

Susanne Pfefferle (S)

Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Maura Dandri (M)

I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany.

Julian Schulze Zur Wiesch (J)

I. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany.

Marc Lütgehetmann (M)

Center for Diagnostics, Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
German Center for Infection Research (DZIF), Hamburg-Lübeck-Borstel-Riems, Germany.

Classifications MeSH