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Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses

Infections with DNA viruses are frequent causes of morbidity and mortality in transplant recipients. This study describes the analytical and clinical performance characteristics of the Arc Bio Galileo Pathogen Solution, an all-inclusive metagenomic next-generation sequencing (mNGS) reagent and bioin...

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Autores principales: Carpenter, Meredith L., Tan, Susanna K., Watson, Thomas, Bacher, Rowena, Nagesh, Vaishnavi, Watts, Alain, Bentley, Gordon, Weber, Jenna, Huang, ChunHong, Sahoo, Malaya K., Hinterwirth, Armin, Doan, Thuy, Carter, Theodore, Dong, Queeny, Gourguechon, Stéphane, Harness, Eric, Kermes, Sean, Radhakrishnan, Srihari, Wang, Gongbo, Quiroz-Zárate, Alejandro, Ching, Jesus, Pinsky, Benjamin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879295/
https://www.ncbi.nlm.nih.gov/pubmed/31554674
http://dx.doi.org/10.1128/JCM.01113-19
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author Carpenter, Meredith L.
Tan, Susanna K.
Watson, Thomas
Bacher, Rowena
Nagesh, Vaishnavi
Watts, Alain
Bentley, Gordon
Weber, Jenna
Huang, ChunHong
Sahoo, Malaya K.
Hinterwirth, Armin
Doan, Thuy
Carter, Theodore
Dong, Queeny
Gourguechon, Stéphane
Harness, Eric
Kermes, Sean
Radhakrishnan, Srihari
Wang, Gongbo
Quiroz-Zárate, Alejandro
Ching, Jesus
Pinsky, Benjamin A.
author_facet Carpenter, Meredith L.
Tan, Susanna K.
Watson, Thomas
Bacher, Rowena
Nagesh, Vaishnavi
Watts, Alain
Bentley, Gordon
Weber, Jenna
Huang, ChunHong
Sahoo, Malaya K.
Hinterwirth, Armin
Doan, Thuy
Carter, Theodore
Dong, Queeny
Gourguechon, Stéphane
Harness, Eric
Kermes, Sean
Radhakrishnan, Srihari
Wang, Gongbo
Quiroz-Zárate, Alejandro
Ching, Jesus
Pinsky, Benjamin A.
author_sort Carpenter, Meredith L.
collection PubMed
description Infections with DNA viruses are frequent causes of morbidity and mortality in transplant recipients. This study describes the analytical and clinical performance characteristics of the Arc Bio Galileo Pathogen Solution, an all-inclusive metagenomic next-generation sequencing (mNGS) reagent and bioinformatics pipeline that allows the simultaneous quantitation of 10 transplant-related double-stranded DNA (dsDNA) viruses (adenovirus [ADV], BK virus [BKV], cytomegalovirus [CMV], Epstein-Barr virus [EBV], human herpesvirus 6A [HHV-6A], HHV-6B, herpes simplex virus 1 [HSV-1], HSV-2, JC virus [JCV], and varicella-zoster virus [VZV]). The mNGS 95% limit of detection ranged from 14 copies/ml (HHV-6) to 191 copies/ml (BKV), and the lower limit of quantitation ranged from 442 international units (IU)/ml (EBV) to 661 copies/ml (VZV). An evaluation of 50 residual plasma samples with at least one DNA virus detected in prior clinical testing showed a total percent agreement of mNGS and quantitative PCR (qPCR) of 89.2% (306/343), with a κ statistic of 0.725. The positive percent agreement was 84.9% (73/86), and the negative percent agreement was 90.7% (233/257). Furthermore, mNGS detected seven subsequently confirmed coinfections that were not initially requested by qPCR. Passing-Bablok regression revealed a regression line of y = 0.953x + 0.075 (95% confidence interval [CI] of the slope, 0.883 to 1.011; intercept, −0.100 to 0.299), and Bland-Altman analysis (mNGS − qPCR) showed a slight positive bias (0.28 log(10) concentration; 95% limits of agreement, −0.62 to 1.18). In conclusion, the mNGS-based Galileo pipeline demonstrates analytical and clinical performance comparable to that of qPCR for transplant-related DNA viruses.
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spelling pubmed-68792952019-12-03 Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses Carpenter, Meredith L. Tan, Susanna K. Watson, Thomas Bacher, Rowena Nagesh, Vaishnavi Watts, Alain Bentley, Gordon Weber, Jenna Huang, ChunHong Sahoo, Malaya K. Hinterwirth, Armin Doan, Thuy Carter, Theodore Dong, Queeny Gourguechon, Stéphane Harness, Eric Kermes, Sean Radhakrishnan, Srihari Wang, Gongbo Quiroz-Zárate, Alejandro Ching, Jesus Pinsky, Benjamin A. J Clin Microbiol Virology Infections with DNA viruses are frequent causes of morbidity and mortality in transplant recipients. This study describes the analytical and clinical performance characteristics of the Arc Bio Galileo Pathogen Solution, an all-inclusive metagenomic next-generation sequencing (mNGS) reagent and bioinformatics pipeline that allows the simultaneous quantitation of 10 transplant-related double-stranded DNA (dsDNA) viruses (adenovirus [ADV], BK virus [BKV], cytomegalovirus [CMV], Epstein-Barr virus [EBV], human herpesvirus 6A [HHV-6A], HHV-6B, herpes simplex virus 1 [HSV-1], HSV-2, JC virus [JCV], and varicella-zoster virus [VZV]). The mNGS 95% limit of detection ranged from 14 copies/ml (HHV-6) to 191 copies/ml (BKV), and the lower limit of quantitation ranged from 442 international units (IU)/ml (EBV) to 661 copies/ml (VZV). An evaluation of 50 residual plasma samples with at least one DNA virus detected in prior clinical testing showed a total percent agreement of mNGS and quantitative PCR (qPCR) of 89.2% (306/343), with a κ statistic of 0.725. The positive percent agreement was 84.9% (73/86), and the negative percent agreement was 90.7% (233/257). Furthermore, mNGS detected seven subsequently confirmed coinfections that were not initially requested by qPCR. Passing-Bablok regression revealed a regression line of y = 0.953x + 0.075 (95% confidence interval [CI] of the slope, 0.883 to 1.011; intercept, −0.100 to 0.299), and Bland-Altman analysis (mNGS − qPCR) showed a slight positive bias (0.28 log(10) concentration; 95% limits of agreement, −0.62 to 1.18). In conclusion, the mNGS-based Galileo pipeline demonstrates analytical and clinical performance comparable to that of qPCR for transplant-related DNA viruses. American Society for Microbiology 2019-11-22 /pmc/articles/PMC6879295/ /pubmed/31554674 http://dx.doi.org/10.1128/JCM.01113-19 Text en Copyright © 2019 Carpenter et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Virology
Carpenter, Meredith L.
Tan, Susanna K.
Watson, Thomas
Bacher, Rowena
Nagesh, Vaishnavi
Watts, Alain
Bentley, Gordon
Weber, Jenna
Huang, ChunHong
Sahoo, Malaya K.
Hinterwirth, Armin
Doan, Thuy
Carter, Theodore
Dong, Queeny
Gourguechon, Stéphane
Harness, Eric
Kermes, Sean
Radhakrishnan, Srihari
Wang, Gongbo
Quiroz-Zárate, Alejandro
Ching, Jesus
Pinsky, Benjamin A.
Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title_full Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title_fullStr Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title_full_unstemmed Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title_short Metagenomic Next-Generation Sequencing for Identification and Quantitation of Transplant-Related DNA Viruses
title_sort metagenomic next-generation sequencing for identification and quantitation of transplant-related dna viruses
topic Virology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6879295/
https://www.ncbi.nlm.nih.gov/pubmed/31554674
http://dx.doi.org/10.1128/JCM.01113-19
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