Zur Kurzanzeige

dc.contributor.author
De Moraes, Consuelo M.
dc.contributor.author
Wanjiku, Caroline
dc.contributor.author
Stanczyk, Nina M.
dc.contributor.author
Pulido, Hannier
dc.contributor.author
Sims, James W.
dc.contributor.author
Betz, Heike S.
dc.contributor.author
Read, Andrew F.
dc.contributor.author
Torto, Baldwyn
dc.contributor.author
Mescher, Mark C.
dc.date.accessioned
2018-06-12T07:50:46Z
dc.date.available
2018-06-09T05:02:06Z
dc.date.available
2018-06-12T07:49:47Z
dc.date.available
2018-06-12T07:50:46Z
dc.date.issued
2018-05-29
dc.identifier.issn
0027-8424
dc.identifier.issn
1091-6490
dc.identifier.other
10.1073/pnas.1801512115
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/268864
dc.identifier.doi
10.3929/ethz-b-000268864
dc.description.abstract
Malaria remains among the world’s deadliest diseases, and control efforts depend critically on the availability of effective diagnostic tools, particularly for the identification of asymptomatic infections, which play a key role in disease persistence and may account for most instances of transmission but often evade detection by current screening methods. Research on humans and in animal models has shown that infection by malaria parasites elicits changes in host odors that influence vector attraction, suggesting that such changes might yield robust biomarkers of infection status. Here we present findings based on extensive collections of skin volatiles from human populations with high rates of malaria infection in Kenya. We report broad and consistent effects of malaria infection on human volatile profiles, as well as significant divergence in the effects of symptomatic and asymptomatic infections. Furthermore, predictive models based on machine learning algorithms reliably determined infection status based on volatile biomarkers. Critically, our models identified asymptomatic infections with 100% sensitivity, even in the case of low-level infections not detectable by microscopy, far exceeding the performance of currently available rapid diagnostic tests in this regard. We also identified a set of individual compounds that emerged as consistently important predictors of infection status. These findings suggest that volatile biomarkers may have significant potential for the development of a robust, noninvasive screening method for detecting malaria infections under field conditions.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
National Academy of Sciences
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
malaria
en_US
dc.subject
disease biomarkers
en_US
dc.subject
diagnostics
en_US
dc.subject
volatiles
en_US
dc.subject
asymptomatic infection
en_US
dc.title
Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-05-14
ethz.journal.title
Proceedings of the National Academy of Sciences of the United States of America
ethz.journal.volume
115
en_US
ethz.journal.issue
22
en_US
ethz.journal.abbreviated
Proc Natl Acad Sci U S A
ethz.pages.start
5780
en_US
ethz.pages.end
5785
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03970 - De Moraes, Consuelo / De Moraes, Consuelo
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03909 - Levine, Jonathan M. (ehemalig) / Levine, Jonathan M. (former)
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03970 - De Moraes, Consuelo / De Moraes, Consuelo
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03909 - Levine, Jonathan M. (ehemalig) / Levine, Jonathan M. (former)
ethz.relation.isSupplementedBy
10.3929/ethz-b-000253069
ethz.date.deposited
2018-06-09T05:02:13Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-06-12T07:49:53Z
ethz.rosetta.lastUpdated
2021-02-15T00:19:30Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Volatile%20biomarkers%20of%20symptomatic%20and%20asymptomatic%20malaria%20infection%20in%20humans&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20of%20the%20United%20States%20of%20America&rft.date=2018-05-29&rft.volume=115&rft.issue=22&rft.spage=5780&rft.epage=5785&rft.issn=0027-8424&1091-6490&rft.au=De%20Moraes,%20Consuelo%20M.&Wanjiku,%20Caroline&Stanczyk,%20Nina%20M.&Pulido,%20Hannier&Sims,%20James%20W.&rft.genre=article&rft_id=info:doi/10.1073/pnas.1801512115&
 Printexemplar via ETH-Bibliothek suchen

Dateien zu diesem Eintrag

Thumbnail

Publikationstyp

Zur Kurzanzeige