Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor

Pneumocystis jirovecii is a fungus responsible for human Pneumocystis pneumonia, one of the most severe infections encountered in immunodepressed individuals. The diagnosis of Pneumocystis pneumonia continues to be challenging due to the absence of specific symptoms in infected patients. Moreover, t...

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Autores: Calvo Lozano, Olalla|||0000-0001-5486-2237, Aviñó, Ana|||0000-0003-3047-738X, Friaza, Vicente|||0000-0002-2900-4334, Medina Escuela, Alfonso, Huertas, César S.|||0000-0002-3100-4034, Calderón, Enrique J.|||0000-0002-3166-5086, Eritja, Ramon|||0000-0001-5383-9334, Lechuga, Laura M.|||0000-0001-5187-5358
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:233959
Acesso em linha:https://ddd.uab.cat/record/233959
https://dx.doi.org/urn:doi:10.3390/NANO10061246
Access Level:Acceso aberto
Palavra-chave:DNA capture
Pneumocystis jirovecii
Surface Plasmon Resonance
Clinical diagnosis
Optical biosensor
Triplex
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spelling Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensorCalvo Lozano, Olalla|||0000-0001-5486-2237Aviñó, Ana|||0000-0003-3047-738XFriaza, Vicente|||0000-0002-2900-4334Medina Escuela, AlfonsoHuertas, César S.|||0000-0002-3100-4034Calderón, Enrique J.|||0000-0002-3166-5086Eritja, Ramon|||0000-0001-5383-9334Lechuga, Laura M.|||0000-0001-5187-5358DNA capturePneumocystis jiroveciiSurface Plasmon ResonanceClinical diagnosisOptical biosensorTriplexPneumocystis jirovecii is a fungus responsible for human Pneumocystis pneumonia, one of the most severe infections encountered in immunodepressed individuals. The diagnosis of Pneumocystis pneumonia continues to be challenging due to the absence of specific symptoms in infected patients. Moreover, the standard diagnostic method employed for its diagnosis involves mainly PCR-based techniques, which besides being highly specific and sensitive, require specialized personnel and equipment and are time-consuming. Our aim is to demonstrate an optical biosensor methodology based on surface plasmon resonance to perform such diagnostics in an efficient and decentralized scheme. The biosensor methodology employs poly-purine reverse-Hoogsteen hairpin probes for the detection of the mitochondrial large subunit ribosomal RNA (mtLSU rRNA) gene, related to P. jirovecii detection. The biosensor device performs a real-time and label-free identification of the mtLSU rRNA gene with excellent selectivity and reproducibility, achieving limits of detection of around 2.11 nM. A preliminary evaluation of clinical samples showed rapid, label-free and specific identification of P. jirovecii in human lung fluids such as bronchoalveolar lavages or nasopharyngeal aspirates. These results offer a door for the future deployment of a sensitive diagnostic tool for fast, direct and selective detection of Pneumocystis pneumonia disease. 22020-01-0120202020-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/233959https://dx.doi.org/urn:doi:10.3390/NANO10061246reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 CTQ2017-84415-RMinisterio de Ciencia e Innovación https://doi.org/10.13039/501100004837 FICTS-1420-27Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 SEV-2017-0706Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 BES-2017-080527Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2016-78515-Ropen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2339592026-06-06T12:50:31Z
dc.title.none.fl_str_mv Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
title Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
spellingShingle Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
Calvo Lozano, Olalla|||0000-0001-5486-2237
DNA capture
Pneumocystis jirovecii
Surface Plasmon Resonance
Clinical diagnosis
Optical biosensor
Triplex
title_short Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
title_full Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
title_fullStr Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
title_full_unstemmed Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
title_sort Fast and accurate pneumocystis pneumonia diagnosis in human samples using a label-free plasmonic biosensor
dc.creator.none.fl_str_mv Calvo Lozano, Olalla|||0000-0001-5486-2237
Aviñó, Ana|||0000-0003-3047-738X
Friaza, Vicente|||0000-0002-2900-4334
Medina Escuela, Alfonso
Huertas, César S.|||0000-0002-3100-4034
Calderón, Enrique J.|||0000-0002-3166-5086
Eritja, Ramon|||0000-0001-5383-9334
Lechuga, Laura M.|||0000-0001-5187-5358
author Calvo Lozano, Olalla|||0000-0001-5486-2237
author_facet Calvo Lozano, Olalla|||0000-0001-5486-2237
Aviñó, Ana|||0000-0003-3047-738X
Friaza, Vicente|||0000-0002-2900-4334
Medina Escuela, Alfonso
Huertas, César S.|||0000-0002-3100-4034
Calderón, Enrique J.|||0000-0002-3166-5086
Eritja, Ramon|||0000-0001-5383-9334
Lechuga, Laura M.|||0000-0001-5187-5358
author_role author
author2 Aviñó, Ana|||0000-0003-3047-738X
Friaza, Vicente|||0000-0002-2900-4334
Medina Escuela, Alfonso
Huertas, César S.|||0000-0002-3100-4034
Calderón, Enrique J.|||0000-0002-3166-5086
Eritja, Ramon|||0000-0001-5383-9334
Lechuga, Laura M.|||0000-0001-5187-5358
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv DNA capture
Pneumocystis jirovecii
Surface Plasmon Resonance
Clinical diagnosis
Optical biosensor
Triplex
topic DNA capture
Pneumocystis jirovecii
Surface Plasmon Resonance
Clinical diagnosis
Optical biosensor
Triplex
description Pneumocystis jirovecii is a fungus responsible for human Pneumocystis pneumonia, one of the most severe infections encountered in immunodepressed individuals. The diagnosis of Pneumocystis pneumonia continues to be challenging due to the absence of specific symptoms in infected patients. Moreover, the standard diagnostic method employed for its diagnosis involves mainly PCR-based techniques, which besides being highly specific and sensitive, require specialized personnel and equipment and are time-consuming. Our aim is to demonstrate an optical biosensor methodology based on surface plasmon resonance to perform such diagnostics in an efficient and decentralized scheme. The biosensor methodology employs poly-purine reverse-Hoogsteen hairpin probes for the detection of the mitochondrial large subunit ribosomal RNA (mtLSU rRNA) gene, related to P. jirovecii detection. The biosensor device performs a real-time and label-free identification of the mtLSU rRNA gene with excellent selectivity and reproducibility, achieving limits of detection of around 2.11 nM. A preliminary evaluation of clinical samples showed rapid, label-free and specific identification of P. jirovecii in human lung fluids such as bronchoalveolar lavages or nasopharyngeal aspirates. These results offer a door for the future deployment of a sensitive diagnostic tool for fast, direct and selective detection of Pneumocystis pneumonia disease.
publishDate 2020
dc.date.none.fl_str_mv 2
2020-01-01
2020
2020-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/233959
https://dx.doi.org/urn:doi:10.3390/NANO10061246
url https://ddd.uab.cat/record/233959
https://dx.doi.org/urn:doi:10.3390/NANO10061246
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 CTQ2017-84415-R
Ministerio de Ciencia e Innovación https://doi.org/10.13039/501100004837 FICTS-1420-27
Ministerio de Economía y Competitividad https://doi.org/10.13039/501100003329 SEV-2017-0706
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 BES-2017-080527
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2016-78515-R
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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