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Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling

BACKGROUND: In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination t...

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Autores principales: Zirkel, J., Cecil, A., Schäfer, F., Rahlfs, S., Ouedraogo, A., Xiao, K., Sawadogo, S., Coulibaly, B., Becker, K., Dandekar, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516044/
https://www.ncbi.nlm.nih.gov/pubmed/23236254
http://dx.doi.org/10.4137/BBI.S10193
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author Zirkel, J.
Cecil, A.
Schäfer, F.
Rahlfs, S.
Ouedraogo, A.
Xiao, K.
Sawadogo, S.
Coulibaly, B.
Becker, K.
Dandekar, T.
author_facet Zirkel, J.
Cecil, A.
Schäfer, F.
Rahlfs, S.
Ouedraogo, A.
Xiao, K.
Sawadogo, S.
Coulibaly, B.
Becker, K.
Dandekar, T.
author_sort Zirkel, J.
collection PubMed
description BACKGROUND: In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination therapy using modeling and experimental data. RESULTS: We built a model of the central metabolic pathways in P. falciparum. Metabolic flux modes and their changes under MB were calculated by integrating experimental data (RT-PCR data on mRNAs for redox enzymes) as constraints and results from the YANA software package for metabolic pathway calculations. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, chloroquine resistance based on pfmdr/and pfcrt transporters, as well as pyrimethamine/sulfadoxine resistance (by mutations in DHF/DHPS), were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs. CONCLUSIONS: Theoretical and experimental results support that methylene blue should, because of its resistance-breaking potential, be further tested as a key component in drug combination therapy efforts in holoendemic areas.
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spelling pubmed-35160442012-12-12 Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling Zirkel, J. Cecil, A. Schäfer, F. Rahlfs, S. Ouedraogo, A. Xiao, K. Sawadogo, S. Coulibaly, B. Becker, K. Dandekar, T. Bioinform Biol Insights Original Research BACKGROUND: In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination therapy using modeling and experimental data. RESULTS: We built a model of the central metabolic pathways in P. falciparum. Metabolic flux modes and their changes under MB were calculated by integrating experimental data (RT-PCR data on mRNAs for redox enzymes) as constraints and results from the YANA software package for metabolic pathway calculations. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, chloroquine resistance based on pfmdr/and pfcrt transporters, as well as pyrimethamine/sulfadoxine resistance (by mutations in DHF/DHPS), were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs. CONCLUSIONS: Theoretical and experimental results support that methylene blue should, because of its resistance-breaking potential, be further tested as a key component in drug combination therapy efforts in holoendemic areas. Libertas Academica 2012-12-03 /pmc/articles/PMC3516044/ /pubmed/23236254 http://dx.doi.org/10.4137/BBI.S10193 Text en © 2012 the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Original Research
Zirkel, J.
Cecil, A.
Schäfer, F.
Rahlfs, S.
Ouedraogo, A.
Xiao, K.
Sawadogo, S.
Coulibaly, B.
Becker, K.
Dandekar, T.
Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title_full Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title_fullStr Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title_full_unstemmed Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title_short Analyzing Thiol-Dependent Redox Networks in the Presence of Methylene Blue and Other Antimalarial Agents with RT-PCR-Supported in silico Modeling
title_sort analyzing thiol-dependent redox networks in the presence of methylene blue and other antimalarial agents with rt-pcr-supported in silico modeling
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516044/
https://www.ncbi.nlm.nih.gov/pubmed/23236254
http://dx.doi.org/10.4137/BBI.S10193
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