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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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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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.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0004480</identifier><identifier>PMID: 26943791</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PLoS neglected tropical diseases, 2016-03, Vol.10 (3), p.e0004480-e0004480</ispartof><rights>COPYRIGHT 2016 Public Library of Science</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. 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. PLoS Negl Trop Dis 10(3): e0004480. doi:10.1371/journal.pntd.0004480</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c624t-1857aca01a2a666b2422e26e3c186e894753f935466b9e16273a960f5b3872463</citedby><cites>FETCH-LOGICAL-c624t-1857aca01a2a666b2422e26e3c186e894753f935466b9e16273a960f5b3872463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778767/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778767/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26943791$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Vinetz, Joseph M.</contributor><creatorcontrib>Decuypere, Saskia</creatorcontrib><creatorcontrib>Maltha, Jessica</creatorcontrib><creatorcontrib>Deborggraeve, Stijn</creatorcontrib><creatorcontrib>Rattray, Nicholas J W</creatorcontrib><creatorcontrib>Issa, Guiraud</creatorcontrib><creatorcontrib>Bérenger, Kaboré</creatorcontrib><creatorcontrib>Lompo, Palpouguini</creatorcontrib><creatorcontrib>Tahita, Marc C</creatorcontrib><creatorcontrib>Ruspasinghe, Thusitha</creatorcontrib><creatorcontrib>McConville, Malcolm</creatorcontrib><creatorcontrib>Goodacre, Royston</creatorcontrib><creatorcontrib>Tinto, Halidou</creatorcontrib><creatorcontrib>Jacobs, Jan</creatorcontrib><creatorcontrib>Carapetis, Jonathan R</creatorcontrib><title>Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><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.</description><subject>Adolescent</subject><subject>Africa</subject><subject>Analysis</subject><subject>Antibiotics</subject><subject>Biology and Life Sciences</subject><subject>Case management</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Data processing</subject><subject>Diagnostic tests</subject><subject>Diagnostic Tests, Routine - methods</subject><subject>Encephalitis</subject><subject>Febrile seizures</subject><subject>Female</subject><subject>Fever of Unknown Origin - diagnosis</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Infections</subject><subject>Laboratories</subject><subject>Malaria</subject><subject>Male</subject><subject>Mass Spectrometry - methods</subject><subject>Medicine and Health Sciences</subject><subject>Metabolites</subject><subject>Metabolomics - methods</subject><subject>Mortality</subject><subject>Pathogens</subject><subject>Patients</subject><subject>Plasma</subject><subject>Point-of-Care Systems</subject><subject>Rural Population</subject><subject>Spectrometry</subject><subject>Standard deviation</subject><subject>Studies</subject><subject>Tropical diseases</subject><subject>Tropical environments</subject><subject>Vector-borne diseases</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNptkluLEzEUxwdR3LX6DUQHBPFlau6Z8UEo1dXCenlYn8OZTKbNkkm6yXTFb29qZ5dWlhAScn7nfy45RfESozmmEr-_Drvowc23fuzmCCHGavSoOMcN5RWRlD8-up8Vz1K6Rog3vMZPizMiGkZlg88LuAq_IXapXA3bGG6tX5c_g_VjFfpqCdGUnyysfUg2laEvvwdfDeAgWigvTButM-XKOW9S-lAuym9mhDa4MFidysU2C4LePC-e9OCSeTGds-LXxeer5dfq8seX1XJxWWlB2FjhmkvQgDAQEEK0hBFiiDBU41qYumGS0z7Xw7KtMVjksqARqOctrSVhgs6K1wfdrQtJTd1JCssa0ybzOBOrA9EFuFbbaAeIf1QAq_49hLhWEEernVGIcSA5QI24YLzXQNqmNaSjGqjmpM9aH6dou3YwnTZ-jOBORE8t3m7UOtwqJmUthcwC7yaBGG52Jo1qsEkb58CbsNvnLTHLMGIZffMf-nB1E7WGXID1fchx9V5ULZhsOKU071kxf4DKqzP514I3ff7TU4e3Rw4bA27cpOB2ow0-nYLsAOoYUoqmv28GRmo_sXdZq_3Eqmlis9ur40beO92NKP0LEsPltA</recordid><startdate>20160304</startdate><enddate>20160304</enddate><creator>Decuypere, Saskia</creator><creator>Maltha, Jessica</creator><creator>Deborggraeve, Stijn</creator><creator>Rattray, Nicholas J W</creator><creator>Issa, Guiraud</creator><creator>Bérenger, Kaboré</creator><creator>Lompo, Palpouguini</creator><creator>Tahita, Marc C</creator><creator>Ruspasinghe, Thusitha</creator><creator>McConville, Malcolm</creator><creator>Goodacre, Royston</creator><creator>Tinto, Halidou</creator><creator>Jacobs, Jan</creator><creator>Carapetis, Jonathan R</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7SS</scope><scope>7T2</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160304</creationdate><title>Towards Improving Point-of-Care Diagnosis of Non-malaria Febrile Illness: A Metabolomics Approach</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624t-1857aca01a2a666b2422e26e3c186e894753f935466b9e16273a960f5b3872463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Africa</topic><topic>Analysis</topic><topic>Antibiotics</topic><topic>Biology and Life Sciences</topic><topic>Case management</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Data processing</topic><topic>Diagnostic tests</topic><topic>Diagnostic Tests, Routine - 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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.
This study demonstrates the potential use of plasma metabolites to identify causality in children with severe febrile illness in malaria-endemic settings.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26943791</pmid><doi>10.1371/journal.pntd.0004480</doi><oa>free_for_read</oa></addata></record> |
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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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