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Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens

Reducing variability of quantitative suspension array assays is key for multi-center and large sero-epidemiological studies. To maximize precision and robustness of an in-house IgG multiplex assay, we analyzed the effect of several conditions on variability to find the best combination. The followin...

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Autores principales: Ubillos, Itziar, Aguilar, Ruth, Sanz, Hector, Jiménez, Alfons, Vidal, Marta, Valmaseda, Aida, Dong, Yan, Gaur, Deepak, Chitnis, Chetan E., Dutta, Sheetij, Angov, Evelina, Aponte, John J., Campo, Joseph J., Valim, Clarissa, Harezlak, Jaroslaw, Dobaño, Carlota
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028107/
https://www.ncbi.nlm.nih.gov/pubmed/29966018
http://dx.doi.org/10.1371/journal.pone.0199278
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author Ubillos, Itziar
Aguilar, Ruth
Sanz, Hector
Jiménez, Alfons
Vidal, Marta
Valmaseda, Aida
Dong, Yan
Gaur, Deepak
Chitnis, Chetan E.
Dutta, Sheetij
Angov, Evelina
Aponte, John J.
Campo, Joseph J.
Valim, Clarissa
Harezlak, Jaroslaw
Dobaño, Carlota
author_facet Ubillos, Itziar
Aguilar, Ruth
Sanz, Hector
Jiménez, Alfons
Vidal, Marta
Valmaseda, Aida
Dong, Yan
Gaur, Deepak
Chitnis, Chetan E.
Dutta, Sheetij
Angov, Evelina
Aponte, John J.
Campo, Joseph J.
Valim, Clarissa
Harezlak, Jaroslaw
Dobaño, Carlota
author_sort Ubillos, Itziar
collection PubMed
description Reducing variability of quantitative suspension array assays is key for multi-center and large sero-epidemiological studies. To maximize precision and robustness of an in-house IgG multiplex assay, we analyzed the effect of several conditions on variability to find the best combination. The following assay conditions were studied through a fractional factorial design: antigen-bead coupling (stock vs. several), sample predilution (stock vs. daily), temperature of incubation of sample with antigen-bead (22°C vs. 37°C), plate washing (manual vs. automatic) and operator expertise (expert vs. apprentice). IgG levels against seven P. falciparum antigens with heterogeneous immunogenicities were measured in test samples, in a positive control and in blanks. We assessed the variability and MFI quantification range associated to each combination of conditions, and their interactions, and evaluated the minimum number of samples and blank replicates to achieve good replicability. Results showed that antigen immunogenicity and sample seroreactivity defined the optimal dilution to assess the effect of assay conditions on variability. We found that a unique antigen-bead coupling, samples prediluted daily, incubation at 22°C, and automatic washing, had lower variability. However, variability increased when performing several couplings and incubating at 22°C vs. 37°C. In addition, no effect of temperature was seen with a unique coupling. The expertise of the operator had no effect on assay variability but reduced the MFI quantification range. Finally, differences between sample replicates were minimal, and two blanks were sufficient to capture assay variability, as suggested by the constant Intraclass Correlation Coefficient of three and two blanks. To conclude, a single coupling was the variable that most consistently reduced assay variability, being clearly advisable. In addition, we suggest having more sample dilutions instead of replicates to increase the likelihood of sample MFIs falling in the linear part of the antigen-specific curve, thus increasing precision.
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spelling pubmed-60281072018-07-19 Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens Ubillos, Itziar Aguilar, Ruth Sanz, Hector Jiménez, Alfons Vidal, Marta Valmaseda, Aida Dong, Yan Gaur, Deepak Chitnis, Chetan E. Dutta, Sheetij Angov, Evelina Aponte, John J. Campo, Joseph J. Valim, Clarissa Harezlak, Jaroslaw Dobaño, Carlota PLoS One Research Article Reducing variability of quantitative suspension array assays is key for multi-center and large sero-epidemiological studies. To maximize precision and robustness of an in-house IgG multiplex assay, we analyzed the effect of several conditions on variability to find the best combination. The following assay conditions were studied through a fractional factorial design: antigen-bead coupling (stock vs. several), sample predilution (stock vs. daily), temperature of incubation of sample with antigen-bead (22°C vs. 37°C), plate washing (manual vs. automatic) and operator expertise (expert vs. apprentice). IgG levels against seven P. falciparum antigens with heterogeneous immunogenicities were measured in test samples, in a positive control and in blanks. We assessed the variability and MFI quantification range associated to each combination of conditions, and their interactions, and evaluated the minimum number of samples and blank replicates to achieve good replicability. Results showed that antigen immunogenicity and sample seroreactivity defined the optimal dilution to assess the effect of assay conditions on variability. We found that a unique antigen-bead coupling, samples prediluted daily, incubation at 22°C, and automatic washing, had lower variability. However, variability increased when performing several couplings and incubating at 22°C vs. 37°C. In addition, no effect of temperature was seen with a unique coupling. The expertise of the operator had no effect on assay variability but reduced the MFI quantification range. Finally, differences between sample replicates were minimal, and two blanks were sufficient to capture assay variability, as suggested by the constant Intraclass Correlation Coefficient of three and two blanks. To conclude, a single coupling was the variable that most consistently reduced assay variability, being clearly advisable. In addition, we suggest having more sample dilutions instead of replicates to increase the likelihood of sample MFIs falling in the linear part of the antigen-specific curve, thus increasing precision. Public Library of Science 2018-07-02 /pmc/articles/PMC6028107/ /pubmed/29966018 http://dx.doi.org/10.1371/journal.pone.0199278 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Ubillos, Itziar
Aguilar, Ruth
Sanz, Hector
Jiménez, Alfons
Vidal, Marta
Valmaseda, Aida
Dong, Yan
Gaur, Deepak
Chitnis, Chetan E.
Dutta, Sheetij
Angov, Evelina
Aponte, John J.
Campo, Joseph J.
Valim, Clarissa
Harezlak, Jaroslaw
Dobaño, Carlota
Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title_full Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title_fullStr Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title_full_unstemmed Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title_short Analysis of factors affecting the variability of a quantitative suspension bead array assay measuring IgG to multiple Plasmodium antigens
title_sort analysis of factors affecting the variability of a quantitative suspension bead array assay measuring igg to multiple plasmodium antigens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028107/
https://www.ncbi.nlm.nih.gov/pubmed/29966018
http://dx.doi.org/10.1371/journal.pone.0199278
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