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A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. While whole-genome sequencing (WGS) is the...

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Autores principales: Hernandez, Matthew M., Banu, Radhika, Shrestha, Paras, Gonzalez-Reiche, Ana S., van de Guchte, Adriana, Farrugia, Keith, Sebra, Robert, Gitman, Melissa R., Nowak, Michael D., Cordon-Cardo, Carlos, Simon, Viviana, van Bakel, Harm, Sordillo, Emilia Mia, Luna, Nicolas, Ramirez, Angie, Castañeda, Sergio Andres, Patiño, Luz Helena, Ballesteros, Nathalia, Muñoz, Marina, Ramírez, Juan David, Paniz-Mondolfi, Alberto E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604185/
https://www.ncbi.nlm.nih.gov/pubmed/36069609
http://dx.doi.org/10.1128/spectrum.01736-22
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author Hernandez, Matthew M.
Banu, Radhika
Shrestha, Paras
Gonzalez-Reiche, Ana S.
van de Guchte, Adriana
Farrugia, Keith
Sebra, Robert
Gitman, Melissa R.
Nowak, Michael D.
Cordon-Cardo, Carlos
Simon, Viviana
van Bakel, Harm
Sordillo, Emilia Mia
Luna, Nicolas
Ramirez, Angie
Castañeda, Sergio Andres
Patiño, Luz Helena
Ballesteros, Nathalia
Muñoz, Marina
Ramírez, Juan David
Paniz-Mondolfi, Alberto E.
author_facet Hernandez, Matthew M.
Banu, Radhika
Shrestha, Paras
Gonzalez-Reiche, Ana S.
van de Guchte, Adriana
Farrugia, Keith
Sebra, Robert
Gitman, Melissa R.
Nowak, Michael D.
Cordon-Cardo, Carlos
Simon, Viviana
van Bakel, Harm
Sordillo, Emilia Mia
Luna, Nicolas
Ramirez, Angie
Castañeda, Sergio Andres
Patiño, Luz Helena
Ballesteros, Nathalia
Muñoz, Marina
Ramírez, Juan David
Paniz-Mondolfi, Alberto E.
author_sort Hernandez, Matthew M.
collection PubMed
description Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. While whole-genome sequencing (WGS) is the “gold standard” for variant identification, molecular variant panels have become increasingly available. Most, however, are based on limited targets and have not undergone comprehensive evaluation. We assessed the diagnostic performance of the highly multiplexed Agena MassARRAY SARS-CoV-2 Variant Panel v3 to identify variants in a diverse set of 391 SARS-CoV-2 clinical RNA specimens collected across our health systems in New York City, USA and Bogotá, Colombia (September 2, 2020 to March 2, 2022). We demonstrated almost perfect levels of interrater agreement between this assay and WGS for 9 of 11 variant calls (κ ≥ 0.856) and 25 of 30 targets (κ ≥ 0.820) tested on the panel. The assay had a high diagnostic sensitivity (≥93.67%) for contemporary variants (e.g., Iota, Alpha, Delta, and Omicron [BA.1 sublineage]) and a high diagnostic specificity for all 11 variants (≥96.15%) and all 30 targets (≥94.34%) tested. Moreover, we highlighted distinct target patterns that could be utilized to identify variants not yet defined on the panel, including the Omicron BA.2 and other sublineages. These findings exemplified the power of highly multiplexed diagnostic panels to accurately call variants and the potential for target result signatures to elucidate new ones. IMPORTANCE The continued circulation of SARS-CoV-2 amid limited surveillance efforts and inconsistent vaccination of populations has resulted in the emergence of variants that uniquely impact public health systems. Thus, in conjunction with functional and clinical studies, continuous detection and identification are quintessential to informing diagnostic and public health measures. Furthermore, until WGS becomes more accessible in the clinical microbiology laboratory, the ideal assay for identifying variants must be robust, provide high resolution, and be adaptable to the evolving nature of viruses like SARS-CoV-2. Here, we highlighted the diagnostic capabilities of a highly multiplexed commercial assay to identify diverse SARS-CoV-2 lineages that circulated from September 2, 2020 to March 2, 2022 among patients seeking care in our health systems. This assay demonstrated variant-specific signatures of nucleotide/amino acid polymorphisms and underscored its utility for the detection of contemporary and emerging SARS-CoV-2 variants of concern.
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spelling pubmed-96041852022-10-27 A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants Hernandez, Matthew M. Banu, Radhika Shrestha, Paras Gonzalez-Reiche, Ana S. van de Guchte, Adriana Farrugia, Keith Sebra, Robert Gitman, Melissa R. Nowak, Michael D. Cordon-Cardo, Carlos Simon, Viviana van Bakel, Harm Sordillo, Emilia Mia Luna, Nicolas Ramirez, Angie Castañeda, Sergio Andres Patiño, Luz Helena Ballesteros, Nathalia Muñoz, Marina Ramírez, Juan David Paniz-Mondolfi, Alberto E. Microbiol Spectr Research Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. While whole-genome sequencing (WGS) is the “gold standard” for variant identification, molecular variant panels have become increasingly available. Most, however, are based on limited targets and have not undergone comprehensive evaluation. We assessed the diagnostic performance of the highly multiplexed Agena MassARRAY SARS-CoV-2 Variant Panel v3 to identify variants in a diverse set of 391 SARS-CoV-2 clinical RNA specimens collected across our health systems in New York City, USA and Bogotá, Colombia (September 2, 2020 to March 2, 2022). We demonstrated almost perfect levels of interrater agreement between this assay and WGS for 9 of 11 variant calls (κ ≥ 0.856) and 25 of 30 targets (κ ≥ 0.820) tested on the panel. The assay had a high diagnostic sensitivity (≥93.67%) for contemporary variants (e.g., Iota, Alpha, Delta, and Omicron [BA.1 sublineage]) and a high diagnostic specificity for all 11 variants (≥96.15%) and all 30 targets (≥94.34%) tested. Moreover, we highlighted distinct target patterns that could be utilized to identify variants not yet defined on the panel, including the Omicron BA.2 and other sublineages. These findings exemplified the power of highly multiplexed diagnostic panels to accurately call variants and the potential for target result signatures to elucidate new ones. IMPORTANCE The continued circulation of SARS-CoV-2 amid limited surveillance efforts and inconsistent vaccination of populations has resulted in the emergence of variants that uniquely impact public health systems. Thus, in conjunction with functional and clinical studies, continuous detection and identification are quintessential to informing diagnostic and public health measures. Furthermore, until WGS becomes more accessible in the clinical microbiology laboratory, the ideal assay for identifying variants must be robust, provide high resolution, and be adaptable to the evolving nature of viruses like SARS-CoV-2. Here, we highlighted the diagnostic capabilities of a highly multiplexed commercial assay to identify diverse SARS-CoV-2 lineages that circulated from September 2, 2020 to March 2, 2022 among patients seeking care in our health systems. This assay demonstrated variant-specific signatures of nucleotide/amino acid polymorphisms and underscored its utility for the detection of contemporary and emerging SARS-CoV-2 variants of concern. American Society for Microbiology 2022-09-07 /pmc/articles/PMC9604185/ /pubmed/36069609 http://dx.doi.org/10.1128/spectrum.01736-22 Text en Copyright © 2022 Hernandez 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 Research Article
Hernandez, Matthew M.
Banu, Radhika
Shrestha, Paras
Gonzalez-Reiche, Ana S.
van de Guchte, Adriana
Farrugia, Keith
Sebra, Robert
Gitman, Melissa R.
Nowak, Michael D.
Cordon-Cardo, Carlos
Simon, Viviana
van Bakel, Harm
Sordillo, Emilia Mia
Luna, Nicolas
Ramirez, Angie
Castañeda, Sergio Andres
Patiño, Luz Helena
Ballesteros, Nathalia
Muñoz, Marina
Ramírez, Juan David
Paniz-Mondolfi, Alberto E.
A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title_full A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title_fullStr A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title_full_unstemmed A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title_short A Robust, Highly Multiplexed Mass Spectrometry Assay to Identify SARS-CoV-2 Variants
title_sort robust, highly multiplexed mass spectrometry assay to identify sars-cov-2 variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604185/
https://www.ncbi.nlm.nih.gov/pubmed/36069609
http://dx.doi.org/10.1128/spectrum.01736-22
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