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Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti

Measuring antimalarial antibodies can estimate transmission in a population. To compare outputs, standardized laboratory testing is required. Here we describe the in-country establishment and quality control (QC) of a multiplex bead assay (MBA) for three sero-surveys in Haiti. Total IgG data against...

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Autores principales: van den Hoogen, Lotus L., Présumé, Jacquelin, Romilus, Ithamare, Mondélus, Gina, Elismé, Tamara, Sepúlveda, Nuno, Stresman, Gillian, Druetz, Thomas, Ashton, Ruth A., Joseph, Vena, Eisele, Thomas P., Hamre, Karen E. S., Chang, Michelle A., Lemoine, Jean F., Tetteh, Kevin K. A., Boncy, Jacques, Existe, Alexandre, Drakeley, Chris, Rogier, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981173/
https://www.ncbi.nlm.nih.gov/pubmed/31980693
http://dx.doi.org/10.1038/s41598-020-57876-0
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author van den Hoogen, Lotus L.
Présumé, Jacquelin
Romilus, Ithamare
Mondélus, Gina
Elismé, Tamara
Sepúlveda, Nuno
Stresman, Gillian
Druetz, Thomas
Ashton, Ruth A.
Joseph, Vena
Eisele, Thomas P.
Hamre, Karen E. S.
Chang, Michelle A.
Lemoine, Jean F.
Tetteh, Kevin K. A.
Boncy, Jacques
Existe, Alexandre
Drakeley, Chris
Rogier, Eric
author_facet van den Hoogen, Lotus L.
Présumé, Jacquelin
Romilus, Ithamare
Mondélus, Gina
Elismé, Tamara
Sepúlveda, Nuno
Stresman, Gillian
Druetz, Thomas
Ashton, Ruth A.
Joseph, Vena
Eisele, Thomas P.
Hamre, Karen E. S.
Chang, Michelle A.
Lemoine, Jean F.
Tetteh, Kevin K. A.
Boncy, Jacques
Existe, Alexandre
Drakeley, Chris
Rogier, Eric
author_sort van den Hoogen, Lotus L.
collection PubMed
description Measuring antimalarial antibodies can estimate transmission in a population. To compare outputs, standardized laboratory testing is required. Here we describe the in-country establishment and quality control (QC) of a multiplex bead assay (MBA) for three sero-surveys in Haiti. Total IgG data against 21 antigens were collected for 32,758 participants. Titration curves of hyperimmune sera were included on assay plates, assay signals underwent 5-parameter regression, and inspection of the median and interquartile range (IQR) for the y-inflection point was used to determine assay precision. The medians and IQRs were similar for Surveys 1 and 2 for most antigens, while the IQRs increased for some antigens in Survey 3. Levey-Jennings charts for selected antigens provided a pass/fail criterion for each assay plate and, of 387 assay plates, 13 (3.4%) were repeated. Individual samples failed if IgG binding to the generic glutathione-S-transferase protein was observed, with 659 (2.0%) samples failing. An additional 455 (1.4%) observations failed due to low bead numbers (<20/analyte). The final dataset included 609,438 anti-malaria IgG data points from 32,099 participants; 96.6% of all potential data points if no QC failures had occurred. The MBA can be deployed with high-throughput data collection and low inter-plate variability while ensuring data quality.
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spelling pubmed-69811732020-01-30 Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti van den Hoogen, Lotus L. Présumé, Jacquelin Romilus, Ithamare Mondélus, Gina Elismé, Tamara Sepúlveda, Nuno Stresman, Gillian Druetz, Thomas Ashton, Ruth A. Joseph, Vena Eisele, Thomas P. Hamre, Karen E. S. Chang, Michelle A. Lemoine, Jean F. Tetteh, Kevin K. A. Boncy, Jacques Existe, Alexandre Drakeley, Chris Rogier, Eric Sci Rep Article Measuring antimalarial antibodies can estimate transmission in a population. To compare outputs, standardized laboratory testing is required. Here we describe the in-country establishment and quality control (QC) of a multiplex bead assay (MBA) for three sero-surveys in Haiti. Total IgG data against 21 antigens were collected for 32,758 participants. Titration curves of hyperimmune sera were included on assay plates, assay signals underwent 5-parameter regression, and inspection of the median and interquartile range (IQR) for the y-inflection point was used to determine assay precision. The medians and IQRs were similar for Surveys 1 and 2 for most antigens, while the IQRs increased for some antigens in Survey 3. Levey-Jennings charts for selected antigens provided a pass/fail criterion for each assay plate and, of 387 assay plates, 13 (3.4%) were repeated. Individual samples failed if IgG binding to the generic glutathione-S-transferase protein was observed, with 659 (2.0%) samples failing. An additional 455 (1.4%) observations failed due to low bead numbers (<20/analyte). The final dataset included 609,438 anti-malaria IgG data points from 32,099 participants; 96.6% of all potential data points if no QC failures had occurred. The MBA can be deployed with high-throughput data collection and low inter-plate variability while ensuring data quality. Nature Publishing Group UK 2020-01-24 /pmc/articles/PMC6981173/ /pubmed/31980693 http://dx.doi.org/10.1038/s41598-020-57876-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
van den Hoogen, Lotus L.
Présumé, Jacquelin
Romilus, Ithamare
Mondélus, Gina
Elismé, Tamara
Sepúlveda, Nuno
Stresman, Gillian
Druetz, Thomas
Ashton, Ruth A.
Joseph, Vena
Eisele, Thomas P.
Hamre, Karen E. S.
Chang, Michelle A.
Lemoine, Jean F.
Tetteh, Kevin K. A.
Boncy, Jacques
Existe, Alexandre
Drakeley, Chris
Rogier, Eric
Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title_full Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title_fullStr Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title_full_unstemmed Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title_short Quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in Haiti
title_sort quality control of multiplex antibody detection in samples from large-scale surveys: the example of malaria in haiti
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981173/
https://www.ncbi.nlm.nih.gov/pubmed/31980693
http://dx.doi.org/10.1038/s41598-020-57876-0
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