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Early prediction of cerebral malaria by (1)H NMR based metabolomics

BACKGROUND: Cerebral malaria (CM) is a life-threatening disease, caused mainly by Plasmodium falciparum in humans. In adults only 1–2 % of P. falciparum-infected hosts transit to the cerebral form of the disease while most exhibit non-cerebral malaria (NCM). The perturbed metabolic pathways of CM an...

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Autores principales: Ghosh, Soumita, Sengupta, Arjun, Sharma, Shobhona, Sonawat, Haripalsingh M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828763/
https://www.ncbi.nlm.nih.gov/pubmed/27066781
http://dx.doi.org/10.1186/s12936-016-1256-z
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author Ghosh, Soumita
Sengupta, Arjun
Sharma, Shobhona
Sonawat, Haripalsingh M.
author_facet Ghosh, Soumita
Sengupta, Arjun
Sharma, Shobhona
Sonawat, Haripalsingh M.
author_sort Ghosh, Soumita
collection PubMed
description BACKGROUND: Cerebral malaria (CM) is a life-threatening disease, caused mainly by Plasmodium falciparum in humans. In adults only 1–2 % of P. falciparum-infected hosts transit to the cerebral form of the disease while most exhibit non-cerebral malaria (NCM). The perturbed metabolic pathways of CM and NCM have been reported. Early marker(s) of CM is(are) not known and by the time a patient exhibits the pathological symptoms of CM, the disease has progressed. Murine CM, like the human disease, is difficult to assign to specific animals at early stage and hence the challenge to treat CM at pre-clinical stage of the disease. This is the first report of prediction of CM in mice using a novel strategy based on (1)H nuclear magnetic resonance (NMR)-based metabolomics. METHODS: Mice were infected with malarial parasites, and serum was collected from all the animals (CM/NCM) before CM symptoms were apparent. The assignment of mice as NCM/CM at an early time point is based on their symptoms at days 8–9 post-infection (pi). The serum samples were subjected to (1)H NMR-based metabolomics. (1)H NMR spectra of the serum samples, collected at various time points (pi) in multiple sets of experiments, were subjected to multivariate analyses. RESULTS: The results from orthogonal partial least square discriminant analyses (OPLS-DA) suggest that the animals with CM start to diverge out in metabolic profile and were distinct on day 4 pi, although by physical observation they were indistinguishable from the NCM. The metabolites that appeared to contribute to this distinction were serum lipids and lipoproteins, and 14–19 % enhancement was observed in mice afflicted with CM. A cut-off of 14 % change of total lipoproteins in serum predicts 54–71 % CM in different experiments at day 4 pi. CONCLUSION: This study clearly demonstrates the possibility of differentiating and identifying animals with CM at an early, pre-clinical stage. The strategy, based on metabolite profile of serum, tested with different batches of animals in both the sex and across different times of the year, is found to be robust. This is the first such study of pre-clinical prognosis of CM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1256-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-48287632016-04-13 Early prediction of cerebral malaria by (1)H NMR based metabolomics Ghosh, Soumita Sengupta, Arjun Sharma, Shobhona Sonawat, Haripalsingh M. Malar J Research BACKGROUND: Cerebral malaria (CM) is a life-threatening disease, caused mainly by Plasmodium falciparum in humans. In adults only 1–2 % of P. falciparum-infected hosts transit to the cerebral form of the disease while most exhibit non-cerebral malaria (NCM). The perturbed metabolic pathways of CM and NCM have been reported. Early marker(s) of CM is(are) not known and by the time a patient exhibits the pathological symptoms of CM, the disease has progressed. Murine CM, like the human disease, is difficult to assign to specific animals at early stage and hence the challenge to treat CM at pre-clinical stage of the disease. This is the first report of prediction of CM in mice using a novel strategy based on (1)H nuclear magnetic resonance (NMR)-based metabolomics. METHODS: Mice were infected with malarial parasites, and serum was collected from all the animals (CM/NCM) before CM symptoms were apparent. The assignment of mice as NCM/CM at an early time point is based on their symptoms at days 8–9 post-infection (pi). The serum samples were subjected to (1)H NMR-based metabolomics. (1)H NMR spectra of the serum samples, collected at various time points (pi) in multiple sets of experiments, were subjected to multivariate analyses. RESULTS: The results from orthogonal partial least square discriminant analyses (OPLS-DA) suggest that the animals with CM start to diverge out in metabolic profile and were distinct on day 4 pi, although by physical observation they were indistinguishable from the NCM. The metabolites that appeared to contribute to this distinction were serum lipids and lipoproteins, and 14–19 % enhancement was observed in mice afflicted with CM. A cut-off of 14 % change of total lipoproteins in serum predicts 54–71 % CM in different experiments at day 4 pi. CONCLUSION: This study clearly demonstrates the possibility of differentiating and identifying animals with CM at an early, pre-clinical stage. The strategy, based on metabolite profile of serum, tested with different batches of animals in both the sex and across different times of the year, is found to be robust. This is the first such study of pre-clinical prognosis of CM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1256-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-12 /pmc/articles/PMC4828763/ /pubmed/27066781 http://dx.doi.org/10.1186/s12936-016-1256-z Text en © Ghosh 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
Ghosh, Soumita
Sengupta, Arjun
Sharma, Shobhona
Sonawat, Haripalsingh M.
Early prediction of cerebral malaria by (1)H NMR based metabolomics
title Early prediction of cerebral malaria by (1)H NMR based metabolomics
title_full Early prediction of cerebral malaria by (1)H NMR based metabolomics
title_fullStr Early prediction of cerebral malaria by (1)H NMR based metabolomics
title_full_unstemmed Early prediction of cerebral malaria by (1)H NMR based metabolomics
title_short Early prediction of cerebral malaria by (1)H NMR based metabolomics
title_sort early prediction of cerebral malaria by (1)h nmr based metabolomics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828763/
https://www.ncbi.nlm.nih.gov/pubmed/27066781
http://dx.doi.org/10.1186/s12936-016-1256-z
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