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A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study

BACKGROUND: Currently available diagnostic techniques of Plasmodium falciparum infection are not optimal for non-invasive, population-based screening for malaria. It was hypothesized that a mass spectrometry-based metabolomics approach could identify urinary biomarkers of falciparum malaria. METHODS...

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Autores principales: Abdelrazig, Salah, Ortori, Catharine A., Davey, Gail, Deressa, Wakgari, Mulleta, Dhaba, Barrett, David A., Amberbir, Alemayehu, Fogarty, Andrew W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450092/
https://www.ncbi.nlm.nih.gov/pubmed/28558710
http://dx.doi.org/10.1186/s12936-017-1875-z
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author Abdelrazig, Salah
Ortori, Catharine A.
Davey, Gail
Deressa, Wakgari
Mulleta, Dhaba
Barrett, David A.
Amberbir, Alemayehu
Fogarty, Andrew W.
author_facet Abdelrazig, Salah
Ortori, Catharine A.
Davey, Gail
Deressa, Wakgari
Mulleta, Dhaba
Barrett, David A.
Amberbir, Alemayehu
Fogarty, Andrew W.
author_sort Abdelrazig, Salah
collection PubMed
description BACKGROUND: Currently available diagnostic techniques of Plasmodium falciparum infection are not optimal for non-invasive, population-based screening for malaria. It was hypothesized that a mass spectrometry-based metabolomics approach could identify urinary biomarkers of falciparum malaria. METHODS: The study used a case–control design, with cases consisting of 21 adults in central Ethiopia with a diagnosis of P. falciparum infection confirmed with microscopy, and 25 controls of adults with negative blood smears for malaria matched on age and sex. Urinary samples were collected from these individuals during presentation at the clinic, and a second sample was collected from both cases and controls 4 weeks later, after the cases had received anti-malarial medication. The urine samples were screened for small molecule urinary biomarkers, using mass spectrometry-based metabolomics analyses followed by multivariate analysis using principal component analysis and orthogonal partial least square-discriminant analysis. The chemical identity of statistically significant malaria biomarkers was confirmed using tandem mass spectrometry. RESULTS: The urinary metabolic profiles of cases with P. falciparum infection were distinct from healthy controls. After treatment with anti-malarial medication, the metabolomic profile of cases resembled that of healthy controls. Significantly altered levels of 29 urinary metabolites were found. Elevated levels of urinary pipecolic acid, taurine, N-acetylspermidine, N-acetylputrescine and 1,3-diacetylpropane were identified as potential biomarkers of falciparum malaria. CONCLUSION: The urinary biomarkers of malaria identified have potential for the development of non-invasive and rapid diagnostic test of P. falciparum infection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1875-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-54500922017-06-01 A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study Abdelrazig, Salah Ortori, Catharine A. Davey, Gail Deressa, Wakgari Mulleta, Dhaba Barrett, David A. Amberbir, Alemayehu Fogarty, Andrew W. Malar J Research BACKGROUND: Currently available diagnostic techniques of Plasmodium falciparum infection are not optimal for non-invasive, population-based screening for malaria. It was hypothesized that a mass spectrometry-based metabolomics approach could identify urinary biomarkers of falciparum malaria. METHODS: The study used a case–control design, with cases consisting of 21 adults in central Ethiopia with a diagnosis of P. falciparum infection confirmed with microscopy, and 25 controls of adults with negative blood smears for malaria matched on age and sex. Urinary samples were collected from these individuals during presentation at the clinic, and a second sample was collected from both cases and controls 4 weeks later, after the cases had received anti-malarial medication. The urine samples were screened for small molecule urinary biomarkers, using mass spectrometry-based metabolomics analyses followed by multivariate analysis using principal component analysis and orthogonal partial least square-discriminant analysis. The chemical identity of statistically significant malaria biomarkers was confirmed using tandem mass spectrometry. RESULTS: The urinary metabolic profiles of cases with P. falciparum infection were distinct from healthy controls. After treatment with anti-malarial medication, the metabolomic profile of cases resembled that of healthy controls. Significantly altered levels of 29 urinary metabolites were found. Elevated levels of urinary pipecolic acid, taurine, N-acetylspermidine, N-acetylputrescine and 1,3-diacetylpropane were identified as potential biomarkers of falciparum malaria. CONCLUSION: The urinary biomarkers of malaria identified have potential for the development of non-invasive and rapid diagnostic test of P. falciparum infection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1875-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-30 /pmc/articles/PMC5450092/ /pubmed/28558710 http://dx.doi.org/10.1186/s12936-017-1875-z 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
Abdelrazig, Salah
Ortori, Catharine A.
Davey, Gail
Deressa, Wakgari
Mulleta, Dhaba
Barrett, David A.
Amberbir, Alemayehu
Fogarty, Andrew W.
A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title_full A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title_fullStr A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title_full_unstemmed A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title_short A metabolomic analytical approach permits identification of urinary biomarkers for Plasmodium falciparum infection: a case–control study
title_sort metabolomic analytical approach permits identification of urinary biomarkers for plasmodium falciparum infection: a case–control study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5450092/
https://www.ncbi.nlm.nih.gov/pubmed/28558710
http://dx.doi.org/10.1186/s12936-017-1875-z
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