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Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms

BACKGROUND: In vitro drug susceptibility testing of malaria parasites remains an important component of surveillance for anti-malarial drug resistance. The half-maximal inhibition of growth (IC(50)) is the most commonly reported parameter expressing drug susceptibility, derived by a variety of stati...

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Autores principales: Wirjanata, Grennady, Handayuni, Irene, Zaloumis, Sophie G., Chalfein, Ferryanto, Prayoga, Pak, Kenangalem, Enny, Poespoprodjo, Jeanne Rini, Noviyanti, Rintis, Simpson, Julie A., Price, Ric N., Marfurt, Jutta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776429/
https://www.ncbi.nlm.nih.gov/pubmed/26935745
http://dx.doi.org/10.1186/s12936-016-1173-1
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author Wirjanata, Grennady
Handayuni, Irene
Zaloumis, Sophie G.
Chalfein, Ferryanto
Prayoga, Pak
Kenangalem, Enny
Poespoprodjo, Jeanne Rini
Noviyanti, Rintis
Simpson, Julie A.
Price, Ric N.
Marfurt, Jutta
author_facet Wirjanata, Grennady
Handayuni, Irene
Zaloumis, Sophie G.
Chalfein, Ferryanto
Prayoga, Pak
Kenangalem, Enny
Poespoprodjo, Jeanne Rini
Noviyanti, Rintis
Simpson, Julie A.
Price, Ric N.
Marfurt, Jutta
author_sort Wirjanata, Grennady
collection PubMed
description BACKGROUND: In vitro drug susceptibility testing of malaria parasites remains an important component of surveillance for anti-malarial drug resistance. The half-maximal inhibition of growth (IC(50)) is the most commonly reported parameter expressing drug susceptibility, derived by a variety of statistical approaches, each with its own advantages and disadvantages. METHODS: In this study, licensed computer programs WinNonlin and GraphPad Prism 6.0, and the open access programs HN-NonLin, Antimalarial ICEstimator (ICE), and In Vitro Analysis and Reporting Tool (IVART) were tested for their ease of use and ability to estimate reliable IC(50) values from raw drug response data from 31 Plasmodium falciparum and 29 P. vivax clinical isolates tested with five anti-malarial agents: chloroquine, amodiaquine, piperaquine, mefloquine, and artesunate. RESULTS: The IC(50) and slope estimates were similar across all statistical packages for all drugs tested in both species. There was good correlation of results derived from alternative statistical programs and non-linear mixed-effects modelling (NONMEM) which models all isolate data simultaneously. The user-friendliness varied between packages. While HN-NonLin and IVART allow users to enter the data in 96-well format, IVART and GraphPad Prism 6.0 are capable to analyse multiple isolates and drugs in parallel. WinNonlin, GraphPad Prism 6.0, IVART, and ICE provide alerts for non-fitting data and incorrect data entry, facilitating data interpretation. Data analysis using WinNonlin or ICE took the longest computationally, whilst the offline ability of GraphPad Prism 6.0 to analyse multiple isolates and drugs simultaneously made it the fastest among the programs tested. CONCLUSION: IC(50) estimates obtained from the programs tested were comparable. In view of processing time and ease of analysis, GraphPad Prism 6.0 or IVART are best suited for routine and large-scale drug susceptibility testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1173-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-47764292016-03-04 Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms Wirjanata, Grennady Handayuni, Irene Zaloumis, Sophie G. Chalfein, Ferryanto Prayoga, Pak Kenangalem, Enny Poespoprodjo, Jeanne Rini Noviyanti, Rintis Simpson, Julie A. Price, Ric N. Marfurt, Jutta Malar J Research BACKGROUND: In vitro drug susceptibility testing of malaria parasites remains an important component of surveillance for anti-malarial drug resistance. The half-maximal inhibition of growth (IC(50)) is the most commonly reported parameter expressing drug susceptibility, derived by a variety of statistical approaches, each with its own advantages and disadvantages. METHODS: In this study, licensed computer programs WinNonlin and GraphPad Prism 6.0, and the open access programs HN-NonLin, Antimalarial ICEstimator (ICE), and In Vitro Analysis and Reporting Tool (IVART) were tested for their ease of use and ability to estimate reliable IC(50) values from raw drug response data from 31 Plasmodium falciparum and 29 P. vivax clinical isolates tested with five anti-malarial agents: chloroquine, amodiaquine, piperaquine, mefloquine, and artesunate. RESULTS: The IC(50) and slope estimates were similar across all statistical packages for all drugs tested in both species. There was good correlation of results derived from alternative statistical programs and non-linear mixed-effects modelling (NONMEM) which models all isolate data simultaneously. The user-friendliness varied between packages. While HN-NonLin and IVART allow users to enter the data in 96-well format, IVART and GraphPad Prism 6.0 are capable to analyse multiple isolates and drugs in parallel. WinNonlin, GraphPad Prism 6.0, IVART, and ICE provide alerts for non-fitting data and incorrect data entry, facilitating data interpretation. Data analysis using WinNonlin or ICE took the longest computationally, whilst the offline ability of GraphPad Prism 6.0 to analyse multiple isolates and drugs simultaneously made it the fastest among the programs tested. CONCLUSION: IC(50) estimates obtained from the programs tested were comparable. In view of processing time and ease of analysis, GraphPad Prism 6.0 or IVART are best suited for routine and large-scale drug susceptibility testing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1173-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-02 /pmc/articles/PMC4776429/ /pubmed/26935745 http://dx.doi.org/10.1186/s12936-016-1173-1 Text en © Wirjanata et al. 2016 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
Wirjanata, Grennady
Handayuni, Irene
Zaloumis, Sophie G.
Chalfein, Ferryanto
Prayoga, Pak
Kenangalem, Enny
Poespoprodjo, Jeanne Rini
Noviyanti, Rintis
Simpson, Julie A.
Price, Ric N.
Marfurt, Jutta
Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title_full Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title_fullStr Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title_full_unstemmed Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title_short Analysis of ex vivo drug response data of Plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
title_sort analysis of ex vivo drug response data of plasmodium clinical isolates: the pros and cons of different computer programs and online platforms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4776429/
https://www.ncbi.nlm.nih.gov/pubmed/26935745
http://dx.doi.org/10.1186/s12936-016-1173-1
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