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Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission

BACKGROUND: As a nation reduces the burden of falciparum malaria, identifying areas of transmission becomes increasingly difficult. Over the past decade, the field of utilizing malaria serological assays to measure exposure has grown rapidly, and a variety of serological methods for data acquisition...

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Autores principales: Rogier, Eric, Wiegand, Ryan, Moss, Delynn, Priest, Jeff, Angov, Evelina, Dutta, Sheetij, Journel, Ito, Jean, Samuel E., Mace, Kimberly, Chang, Michelle, Lemoine, Jean Frantz, Udhayakumar, Venkatachalam, Barnwell, John W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634594/
https://www.ncbi.nlm.nih.gov/pubmed/26537125
http://dx.doi.org/10.1186/s12936-015-0955-1
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author Rogier, Eric
Wiegand, Ryan
Moss, Delynn
Priest, Jeff
Angov, Evelina
Dutta, Sheetij
Journel, Ito
Jean, Samuel E.
Mace, Kimberly
Chang, Michelle
Lemoine, Jean Frantz
Udhayakumar, Venkatachalam
Barnwell, John W.
author_facet Rogier, Eric
Wiegand, Ryan
Moss, Delynn
Priest, Jeff
Angov, Evelina
Dutta, Sheetij
Journel, Ito
Jean, Samuel E.
Mace, Kimberly
Chang, Michelle
Lemoine, Jean Frantz
Udhayakumar, Venkatachalam
Barnwell, John W.
author_sort Rogier, Eric
collection PubMed
description BACKGROUND: As a nation reduces the burden of falciparum malaria, identifying areas of transmission becomes increasingly difficult. Over the past decade, the field of utilizing malaria serological assays to measure exposure has grown rapidly, and a variety of serological methods for data acquisition and analysis of human IgG against falciparum antigens are available. Here, different immunoassays and statistical methods are utilized to analyse samples from a low transmission setting and directly compare the estimates generated. METHODS: A subset of samples (n = 580) from a 2012 Haitian nationwide malaria survey was employed as sample population of low falciparum endemicity. In addition to the Haitian samples, samples from 247 US residents were used as a reference population of ‘true seronegatives’. Data acquisition was performed through standard ELISA and bead-based multiplex assays assaying for IgG antibodies to the Plasmodium falciparum antigens MSP-1p19, MSP-1p42(D), MSP-1p42(F), and AMA-1. Appropriate parametric distributions and seropositivity cutoff values were determined by statistical measures. RESULTS: Data from both assays showed a strong positive skew, and the lognormal distribution was found to be an appropriate statistical fit to the Haitian and American populations. The American samples served as a good serological true negative population for the multiplex assay, but not for ELISA-based data. Mixture model approaches to determine seronegative and seropositive populations from the Haitian data showed a high degree of distribution overlap—likely due to the historical low falciparum transmission in this nation. Different fittings to the reversible catalytic model resulted depending upon the immunoassay utilized and seropositivity cutoff method employed. Data were also analysed through fitting to penalized B-splines, presenting another possible analytical tool for the analysis of malaria serological data. CONCLUSIONS: Standardization of serological techniques and analyses may prove difficult as some tools can prove to be more useful depending on the area and parasite in question, making clear interpretation a vital pursuit. The presented analysis in the low-endemic nation of Haiti found malaria-naive US residents to be an appropriate seronegative reference population for the multiplex assay, and this assay providing consistent estimates between MSP-1 and AMA-1 antigens of percent seropositives for this low-endemic population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0955-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-46345942015-11-06 Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission Rogier, Eric Wiegand, Ryan Moss, Delynn Priest, Jeff Angov, Evelina Dutta, Sheetij Journel, Ito Jean, Samuel E. Mace, Kimberly Chang, Michelle Lemoine, Jean Frantz Udhayakumar, Venkatachalam Barnwell, John W. Malar J Research BACKGROUND: As a nation reduces the burden of falciparum malaria, identifying areas of transmission becomes increasingly difficult. Over the past decade, the field of utilizing malaria serological assays to measure exposure has grown rapidly, and a variety of serological methods for data acquisition and analysis of human IgG against falciparum antigens are available. Here, different immunoassays and statistical methods are utilized to analyse samples from a low transmission setting and directly compare the estimates generated. METHODS: A subset of samples (n = 580) from a 2012 Haitian nationwide malaria survey was employed as sample population of low falciparum endemicity. In addition to the Haitian samples, samples from 247 US residents were used as a reference population of ‘true seronegatives’. Data acquisition was performed through standard ELISA and bead-based multiplex assays assaying for IgG antibodies to the Plasmodium falciparum antigens MSP-1p19, MSP-1p42(D), MSP-1p42(F), and AMA-1. Appropriate parametric distributions and seropositivity cutoff values were determined by statistical measures. RESULTS: Data from both assays showed a strong positive skew, and the lognormal distribution was found to be an appropriate statistical fit to the Haitian and American populations. The American samples served as a good serological true negative population for the multiplex assay, but not for ELISA-based data. Mixture model approaches to determine seronegative and seropositive populations from the Haitian data showed a high degree of distribution overlap—likely due to the historical low falciparum transmission in this nation. Different fittings to the reversible catalytic model resulted depending upon the immunoassay utilized and seropositivity cutoff method employed. Data were also analysed through fitting to penalized B-splines, presenting another possible analytical tool for the analysis of malaria serological data. CONCLUSIONS: Standardization of serological techniques and analyses may prove difficult as some tools can prove to be more useful depending on the area and parasite in question, making clear interpretation a vital pursuit. The presented analysis in the low-endemic nation of Haiti found malaria-naive US residents to be an appropriate seronegative reference population for the multiplex assay, and this assay providing consistent estimates between MSP-1 and AMA-1 antigens of percent seropositives for this low-endemic population. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-015-0955-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-04 /pmc/articles/PMC4634594/ /pubmed/26537125 http://dx.doi.org/10.1186/s12936-015-0955-1 Text en © Rogier et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Rogier, Eric
Wiegand, Ryan
Moss, Delynn
Priest, Jeff
Angov, Evelina
Dutta, Sheetij
Journel, Ito
Jean, Samuel E.
Mace, Kimberly
Chang, Michelle
Lemoine, Jean Frantz
Udhayakumar, Venkatachalam
Barnwell, John W.
Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title_full Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title_fullStr Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title_full_unstemmed Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title_short Multiple comparisons analysis of serological data from an area of low Plasmodium falciparum transmission
title_sort multiple comparisons analysis of serological data from an area of low plasmodium falciparum transmission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634594/
https://www.ncbi.nlm.nih.gov/pubmed/26537125
http://dx.doi.org/10.1186/s12936-015-0955-1
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