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Infection biomarkers based on metabolomics

2022-01-19Journal article Open access
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dc.contributor.authorAraújo, Rúben
dc.contributor.authorBento, Luís
dc.contributor.authorFonseca, Tiago AH
dc.contributor.authorVon Rekowski, Cristiana
dc.contributor.authorRibeiro Da Cunha, Bernardo
dc.contributor.authorCalado, Cecília
dc.date.accessioned2022-01-25T16:44:14Z
dc.date.available2022-01-25T16:44:14Z
dc.date.issued2022-01-19
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2020 do Instituto Politécnico de Lisboa. Código de referência IPL/2020/NephroMD/ISEL
dc.description.abstractCurrent infection biomarkers are highly limited since they have low capability to predict infection in the presence of confounding processes such as in non-infectious inflammatory processes, low capability to predict disease outcomes and have limited applications to guide and evaluate therapeutic regimes. Therefore, it is critical to discover and develop new and effective clinical infection biomarkers, especially applicable in patients at risk of developing severe illness and critically ill patients. Ideal biomarkers would effectively help physicians with better patient management, leading to a decrease of severe outcomes, personalize therapies, minimize antibiotics overuse and hospitalization time, and significantly improve patient survival. Metabolomics, by providing a direct insight into the functional metabolic outcome of an organism, presents a highly appealing strategy to discover these biomarkers. The present work reviews the desired main characteristics of infection biomarkers, the main metabolomics strategies to discover these biomarkers and the next steps for developing the area towards effective clinical biomarkers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationARAÚJO, Rúben; [et al] – Infection biomarkers based on metabolomics. Metabolites. ISSN 2218-1989. Vol. 12, N.º 2 (2022), pp. 1-12.pt_PT
dc.identifier.doi10.3390/metabo12020092pt_PT
dc.identifier.eissn2218-1989
dc.identifier.urihttp://hdl.handle.net/10400.21/14200
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationDSAIPA/DS/0117/2020 - FCTpt_PT
dc.relationProjeto financiado no âmbito do Concurso de Projetos de Investigação, Desenvolvimento, Inovação & Criação Artística (IDI&CA) financiados pelo Instituto Politécnico de Lisboa. IPL/2020/NephroMD/ISELpt_PT
dc.subjectInfectionpt_PT
dc.subjectMetabolomicspt_PT
dc.subjectBiomarkerspt_PT
dc.subjectDiagnosispt_PT
dc.subjectPrognosispt_PT
dc.titleInfection biomarkers based on metabolomicspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume12pt_PT
person.familyNameAraújo
person.familyNameBento
person.familyNameHenrique Fonseca
person.familyNameVon Rekowski
person.familyNameRibeiro da Cunha
person.familyNameCalado
person.givenNameRúben Alexandre Dinis
person.givenNameLuís
person.givenNameTiago Alexandre
person.givenNameCristiana
person.givenNameBernardo
person.givenNameCecília
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person.identifier.ciencia-idEA1E-4BEA-A01E
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-0260-003X
person.identifier.orcid0000-0003-0741-2211
person.identifier.orcid0009-0009-6843-1935
person.identifier.orcid0000-0002-0303-9416
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridL-6623-2018
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person.identifier.scopus-author-id57211629814
person.identifier.scopus-author-id6603163260
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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