A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms

Abstract Recent findings suggest that changes in human odors caused by malaria infection have significant potential as diagnostic biomarkers. However, uncertainty remains regarding the specificity of such biomarkers, particularly in populations where many different pathological conditions may elicit...

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Autores principales:	Hannier Pulido, Nina M. Stanczyk, Consuelo M. De Moraes, Mark C. Mescher
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bf0356d8879144dfae3e92ae9f1e79f7
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spelling	oai:doaj.org-article:bf0356d8879144dfae3e92ae9f1e79f72021-12-02T16:15:07ZA unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms10.1038/s41598-021-92962-x2045-2322https://doaj.org/article/bf0356d8879144dfae3e92ae9f1e79f72021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92962-xhttps://doaj.org/toc/2045-2322Abstract Recent findings suggest that changes in human odors caused by malaria infection have significant potential as diagnostic biomarkers. However, uncertainty remains regarding the specificity of such biomarkers, particularly in populations where many different pathological conditions may elicit similar symptoms. We explored the ability of volatile biomarkers to predict malaria infection status in Kenyan schoolchildren exhibiting a range of malaria-like symptoms. Using genetic algorithm models to explore data from skin volatile collections, we were able to identify malaria infection with 100% accuracy among children with fever and 75% accuracy among children with other symptoms. While we observed characteristic changes in volatile patterns driven by symptomatology, our models also identified malaria-specific biomarkers with robust predictive capability even in the presence of other pathogens that elicit similar symptoms.Hannier PulidoNina M. StanczykConsuelo M. De MoraesMark C. MescherNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hannier Pulido Nina M. Stanczyk Consuelo M. De Moraes Mark C. Mescher A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
description	Abstract Recent findings suggest that changes in human odors caused by malaria infection have significant potential as diagnostic biomarkers. However, uncertainty remains regarding the specificity of such biomarkers, particularly in populations where many different pathological conditions may elicit similar symptoms. We explored the ability of volatile biomarkers to predict malaria infection status in Kenyan schoolchildren exhibiting a range of malaria-like symptoms. Using genetic algorithm models to explore data from skin volatile collections, we were able to identify malaria infection with 100% accuracy among children with fever and 75% accuracy among children with other symptoms. While we observed characteristic changes in volatile patterns driven by symptomatology, our models also identified malaria-specific biomarkers with robust predictive capability even in the presence of other pathogens that elicit similar symptoms.
format	article
author	Hannier Pulido Nina M. Stanczyk Consuelo M. De Moraes Mark C. Mescher
author_facet	Hannier Pulido Nina M. Stanczyk Consuelo M. De Moraes Mark C. Mescher
author_sort	Hannier Pulido
title	A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
title_short	A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
title_full	A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
title_fullStr	A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
title_full_unstemmed	A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
title_sort	unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bf0356d8879144dfae3e92ae9f1e79f7
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A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms

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