Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach

Non-malaria febrile illnesses such as bacterial bloodstream infections (BSI) are a leading cause of disease and mortality in the tropics. However, there are no reliable, simple diagnostic tests for identifying BSI or other severe non-malaria febrile illnesses. We hypothesized that different infectio...

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Veröffentlicht in:PLoS neglected tropical diseases 2016-03, Vol.10 (3), p.e0004480-e0004480
Hauptverfasser: Decuypere, Saskia, Maltha, Jessica, Deborggraeve, Stijn, Rattray, Nicholas J W, Issa, Guiraud, Bérenger, Kaboré, Lompo, Palpouguini, Tahita, Marc C, Ruspasinghe, Thusitha, McConville, Malcolm, Goodacre, Royston, Tinto, Halidou, Jacobs, Jan, Carapetis, Jonathan R
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container_title PLoS neglected tropical diseases
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creator Decuypere, Saskia
Maltha, Jessica
Deborggraeve, Stijn
Rattray, Nicholas J W
Issa, Guiraud
Bérenger, Kaboré
Lompo, Palpouguini
Tahita, Marc C
Ruspasinghe, Thusitha
McConville, Malcolm
Goodacre, Royston
Tinto, Halidou
Jacobs, Jan
Carapetis, Jonathan R
description Non-malaria febrile illnesses such as bacterial bloodstream infections (BSI) are a leading cause of disease and mortality in the tropics. However, there are no reliable, simple diagnostic tests for identifying BSI or other severe non-malaria febrile illnesses. We hypothesized that different infectious agents responsible for severe febrile illness would impact on the host metabolome in different ways, and investigated the potential of plasma metabolites for diagnosis of non-malaria febrile illness. We conducted a comprehensive mass-spectrometry based metabolomics analysis of the plasma of 61 children with severe febrile illness from a malaria-endemic rural African setting. Metabolite features characteristic for non-malaria febrile illness, BSI, severe anemia and poor clinical outcome were identified by receiver operating curve analysis. The plasma metabolome profile of malaria and non-malaria patients revealed fundamental differences in host response, including a differential activation of the hypothalamic-pituitary-adrenal axis. A simple corticosteroid signature was a good classifier of severe malaria and non-malaria febrile patients (AUC 0.82, 95% CI: 0.70-0.93). Patients with BSI were characterized by upregulated plasma bile metabolites; a signature of two bile metabolites was estimated to have a sensitivity of 98.1% (95% CI: 80.2-100) and a specificity of 82.9% (95% CI: 54.7-99.9) to detect BSI in children younger than 5 years. This BSI signature demonstrates that host metabolites can have a superior diagnostic sensitivity compared to pathogen-detecting tests to identify infections characterized by low pathogen load such as BSI. This study demonstrates the potential use of plasma metabolites to identify causality in children with severe febrile illness in malaria-endemic settings.
doi_str_mv 10.1371/journal.pntd.0004480
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However, there are no reliable, simple diagnostic tests for identifying BSI or other severe non-malaria febrile illnesses. We hypothesized that different infectious agents responsible for severe febrile illness would impact on the host metabolome in different ways, and investigated the potential of plasma metabolites for diagnosis of non-malaria febrile illness. We conducted a comprehensive mass-spectrometry based metabolomics analysis of the plasma of 61 children with severe febrile illness from a malaria-endemic rural African setting. Metabolite features characteristic for non-malaria febrile illness, BSI, severe anemia and poor clinical outcome were identified by receiver operating curve analysis. The plasma metabolome profile of malaria and non-malaria patients revealed fundamental differences in host response, including a differential activation of the hypothalamic-pituitary-adrenal axis. A simple corticosteroid signature was a good classifier of severe malaria and non-malaria febrile patients (AUC 0.82, 95% CI: 0.70-0.93). Patients with BSI were characterized by upregulated plasma bile metabolites; a signature of two bile metabolites was estimated to have a sensitivity of 98.1% (95% CI: 80.2-100) and a specificity of 82.9% (95% CI: 54.7-99.9) to detect BSI in children younger than 5 years. This BSI signature demonstrates that host metabolites can have a superior diagnostic sensitivity compared to pathogen-detecting tests to identify infections characterized by low pathogen load such as BSI. 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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Decuypere S, Maltha J, Deborggraeve S, Rattray NJW, Issa G, Bérenger K, et al. (2016) Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach. PLoS Negl Trop Dis 10(3): e0004480. doi:10.1371/journal.pntd.0004480</rights><rights>2016 Decuypere et al 2016 Decuypere et al</rights><rights>2016 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Decuypere S, Maltha J, Deborggraeve S, Rattray NJW, Issa G, Bérenger K, et al. (2016) Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach. 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A simple corticosteroid signature was a good classifier of severe malaria and non-malaria febrile patients (AUC 0.82, 95% CI: 0.70-0.93). Patients with BSI were characterized by upregulated plasma bile metabolites; a signature of two bile metabolites was estimated to have a sensitivity of 98.1% (95% CI: 80.2-100) and a specificity of 82.9% (95% CI: 54.7-99.9) to detect BSI in children younger than 5 years. This BSI signature demonstrates that host metabolites can have a superior diagnostic sensitivity compared to pathogen-detecting tests to identify infections characterized by low pathogen load such as BSI. 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source MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Adolescent
Africa
Analysis
Antibiotics
Biology and Life Sciences
Case management
Child
Child, Preschool
Data processing
Diagnostic tests
Diagnostic Tests, Routine - methods
Encephalitis
Febrile seizures
Female
Fever of Unknown Origin - diagnosis
Humans
Illnesses
Infant
Infant, Newborn
Infections
Laboratories
Malaria
Male
Mass Spectrometry - methods
Medicine and Health Sciences
Metabolites
Metabolomics - methods
Mortality
Pathogens
Patients
Plasma
Point-of-Care Systems
Rural Population
Spectrometry
Standard deviation
Studies
Tropical diseases
Tropical environments
Vector-borne diseases
title Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach
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