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Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance

BACKGROUND: Malaria remains a major public health burden and resistance has emerged to every antimalarial on the market, including the frontline drug, artemisinin. Our limited understanding of Plasmodium biology hinders the elucidation of resistance mechanisms. In this regard, systems biology approa...

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Autores principales: Carey, Maureen A., Papin, Jason A., Guler, Jennifer L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518114/
https://www.ncbi.nlm.nih.gov/pubmed/28724354
http://dx.doi.org/10.1186/s12864-017-3905-1
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author Carey, Maureen A.
Papin, Jason A.
Guler, Jennifer L.
author_facet Carey, Maureen A.
Papin, Jason A.
Guler, Jennifer L.
author_sort Carey, Maureen A.
collection PubMed
description BACKGROUND: Malaria remains a major public health burden and resistance has emerged to every antimalarial on the market, including the frontline drug, artemisinin. Our limited understanding of Plasmodium biology hinders the elucidation of resistance mechanisms. In this regard, systems biology approaches can facilitate the integration of existing experimental knowledge and further understanding of these mechanisms. RESULTS: Here, we developed a novel genome-scale metabolic network reconstruction, iPfal17, of the asexual blood-stage P. falciparum parasite to expand our understanding of metabolic changes that support resistance. We identified 11 metabolic tasks to evaluate iPfal17 performance. Flux balance analysis and simulation of gene knockouts and enzyme inhibition predict candidate drug targets unique to resistant parasites. Moreover, integration of clinical parasite transcriptomes into the iPfal17 reconstruction reveals patterns associated with antimalarial resistance. These results predict that artemisinin sensitive and resistant parasites differentially utilize scavenging and biosynthetic pathways for multiple essential metabolites, including folate and polyamines. Our findings are consistent with experimental literature, while generating novel hypotheses about artemisinin resistance and parasite biology. We detect evidence that resistant parasites maintain greater metabolic flexibility, perhaps representing an incomplete transition to the metabolic state most appropriate for nutrient-rich blood. CONCLUSION: Using this systems biology approach, we identify metabolic shifts that arise with or in support of the resistant phenotype. This perspective allows us to more productively analyze and interpret clinical expression data for the identification of candidate drug targets for the treatment of resistant parasites. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3905-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-55181142017-08-16 Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance Carey, Maureen A. Papin, Jason A. Guler, Jennifer L. BMC Genomics Research Article BACKGROUND: Malaria remains a major public health burden and resistance has emerged to every antimalarial on the market, including the frontline drug, artemisinin. Our limited understanding of Plasmodium biology hinders the elucidation of resistance mechanisms. In this regard, systems biology approaches can facilitate the integration of existing experimental knowledge and further understanding of these mechanisms. RESULTS: Here, we developed a novel genome-scale metabolic network reconstruction, iPfal17, of the asexual blood-stage P. falciparum parasite to expand our understanding of metabolic changes that support resistance. We identified 11 metabolic tasks to evaluate iPfal17 performance. Flux balance analysis and simulation of gene knockouts and enzyme inhibition predict candidate drug targets unique to resistant parasites. Moreover, integration of clinical parasite transcriptomes into the iPfal17 reconstruction reveals patterns associated with antimalarial resistance. These results predict that artemisinin sensitive and resistant parasites differentially utilize scavenging and biosynthetic pathways for multiple essential metabolites, including folate and polyamines. Our findings are consistent with experimental literature, while generating novel hypotheses about artemisinin resistance and parasite biology. We detect evidence that resistant parasites maintain greater metabolic flexibility, perhaps representing an incomplete transition to the metabolic state most appropriate for nutrient-rich blood. CONCLUSION: Using this systems biology approach, we identify metabolic shifts that arise with or in support of the resistant phenotype. This perspective allows us to more productively analyze and interpret clinical expression data for the identification of candidate drug targets for the treatment of resistant parasites. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3905-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-19 /pmc/articles/PMC5518114/ /pubmed/28724354 http://dx.doi.org/10.1186/s12864-017-3905-1 Text en © The Author(s). 2017 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 Article
Carey, Maureen A.
Papin, Jason A.
Guler, Jennifer L.
Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title_full Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title_fullStr Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title_full_unstemmed Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title_short Novel Plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
title_sort novel plasmodium falciparum metabolic network reconstruction identifies shifts associated with clinical antimalarial resistance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5518114/
https://www.ncbi.nlm.nih.gov/pubmed/28724354
http://dx.doi.org/10.1186/s12864-017-3905-1
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