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Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format

Widely employed diagnostic antibody serology for Lyme disease, known as standard two-tier testing (STTT), exhibits insufficient sensitivity in early Lyme disease, yielding many thousands of false-negative test results each year. Given this problem, we applied serum antibody repertoire analysis (SERA...

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Autores principales: Reifert, Jack, Kamath, Kathy, Bozekowski, Joel, Lis, Ewa, Horn, Elizabeth J., Granger, Dane, Theel, Elitza S., Shon, John, Sawyer, Jaymie R., Daugherty, Patrick S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111119/
https://www.ncbi.nlm.nih.gov/pubmed/33148704
http://dx.doi.org/10.1128/JCM.01836-20
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author Reifert, Jack
Kamath, Kathy
Bozekowski, Joel
Lis, Ewa
Horn, Elizabeth J.
Granger, Dane
Theel, Elitza S.
Shon, John
Sawyer, Jaymie R.
Daugherty, Patrick S.
author_facet Reifert, Jack
Kamath, Kathy
Bozekowski, Joel
Lis, Ewa
Horn, Elizabeth J.
Granger, Dane
Theel, Elitza S.
Shon, John
Sawyer, Jaymie R.
Daugherty, Patrick S.
author_sort Reifert, Jack
collection PubMed
description Widely employed diagnostic antibody serology for Lyme disease, known as standard two-tier testing (STTT), exhibits insufficient sensitivity in early Lyme disease, yielding many thousands of false-negative test results each year. Given this problem, we applied serum antibody repertoire analysis (SERA), or next-generation sequencing (NGS)-based serology, to discover IgG and IgM antibody epitope motifs capable of detecting Lyme disease-specific antibodies with high sensitivity and specificity. Iterative motif discovery and bioinformatic analysis of epitope repertoires from subjects with Lyme disease (n = 264) and controls (n = 391) yielded a set of 28 epitope motifs representing 20 distinct IgG antibody epitopes and a set of 38 epitope motifs representing 21 distinct IgM epitopes, which performed equivalently in a large validation cohort of STTT-positive samples. In a second validation set from subjects with clinically defined early Lyme disease (n = 119) and controls (n = 257), the SERA Lyme IgG and IgM assay exhibited significantly improved sensitivity relative to STTT (77% versus 62%; Z-test; P = 0.013) and improved specificity (99% versus 97%). Early Lyme disease subjects exhibited significantly fewer reactive epitopes (Mann-Whitney U test; P < 0.0001) relative to subjects with Lyme arthritis. Thus, SERA Lyme IgG and M panels provided increased accuracy in early Lyme disease in a readily expandable multiplex assay format.
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spelling pubmed-81111192021-05-28 Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format Reifert, Jack Kamath, Kathy Bozekowski, Joel Lis, Ewa Horn, Elizabeth J. Granger, Dane Theel, Elitza S. Shon, John Sawyer, Jaymie R. Daugherty, Patrick S. J Clin Microbiol Immunoassays Widely employed diagnostic antibody serology for Lyme disease, known as standard two-tier testing (STTT), exhibits insufficient sensitivity in early Lyme disease, yielding many thousands of false-negative test results each year. Given this problem, we applied serum antibody repertoire analysis (SERA), or next-generation sequencing (NGS)-based serology, to discover IgG and IgM antibody epitope motifs capable of detecting Lyme disease-specific antibodies with high sensitivity and specificity. Iterative motif discovery and bioinformatic analysis of epitope repertoires from subjects with Lyme disease (n = 264) and controls (n = 391) yielded a set of 28 epitope motifs representing 20 distinct IgG antibody epitopes and a set of 38 epitope motifs representing 21 distinct IgM epitopes, which performed equivalently in a large validation cohort of STTT-positive samples. In a second validation set from subjects with clinically defined early Lyme disease (n = 119) and controls (n = 257), the SERA Lyme IgG and IgM assay exhibited significantly improved sensitivity relative to STTT (77% versus 62%; Z-test; P = 0.013) and improved specificity (99% versus 97%). Early Lyme disease subjects exhibited significantly fewer reactive epitopes (Mann-Whitney U test; P < 0.0001) relative to subjects with Lyme arthritis. Thus, SERA Lyme IgG and M panels provided increased accuracy in early Lyme disease in a readily expandable multiplex assay format. American Society for Microbiology 2021-01-21 /pmc/articles/PMC8111119/ /pubmed/33148704 http://dx.doi.org/10.1128/JCM.01836-20 Text en Copyright © 2021 Reifert 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 Immunoassays
Reifert, Jack
Kamath, Kathy
Bozekowski, Joel
Lis, Ewa
Horn, Elizabeth J.
Granger, Dane
Theel, Elitza S.
Shon, John
Sawyer, Jaymie R.
Daugherty, Patrick S.
Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title_full Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title_fullStr Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title_full_unstemmed Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title_short Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format
title_sort serum epitope repertoire analysis enables early detection of lyme disease with improved sensitivity in an expandable multiplex format
topic Immunoassays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111119/
https://www.ncbi.nlm.nih.gov/pubmed/33148704
http://dx.doi.org/10.1128/JCM.01836-20
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