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The Impact of the Serum Extraction Protocol on Metabolomic Profiling Using UPLC-MS/MS and FTIR Spectroscopy

dc.contributor.authorFonseca, Tiago AH
dc.contributor.authorVon Rekowski, Cristiana
dc.contributor.authorAraújo, Rúben
dc.contributor.authorOliveira, Maria Da Conceiçao
dc.contributor.authorJustino, Gonçalo C.
dc.contributor.authorBento, Luís
dc.contributor.authorCalado, Cecília
dc.date.accessioned2024-03-22T14:37:47Z
dc.date.available2024-03-22T14:37:47Z
dc.date.issued2023
dc.description.abstractBiofluid metabolomics is a very appealing tool to increase the knowledge associated with pathophysiological mechanisms leading to better and new therapies and biomarkers for disease diagnosis and prognosis. However, due to the complex process of metabolome analysis, including the metabolome isolation method and the platform used to analyze it, there are diverse factors that affect metabolomics output. In the present work, the impact of two protocols to extract the serum metabolome, one using methanol and another using a mixture of methanol, acetonitrile, and water, was evaluated. The metabolome was analyzed by ultraperformance liquid chromatography associated with tandem mass spectrometry (UPLC-MS/MS), based on reverse-phase and hydrophobic chromatographic separations, and Fourier transform infrared (FTIR) spectroscopy. The two extraction protocols of the metabolome were compared over the analytical platforms (UPLC-MS/MS and FTIR spectroscopy) concerning the number of features, the type of features, common features, and the reproducibility of extraction replicas and analytical replicas. The ability of the extraction protocols to predict the survivability of critically ill patients hospitalized at an intensive care unit was also evaluated. The FTIR spectroscopy platform was compared to the UPLC-MS/MS platform and, despite not identifying metabolites and consequently not contributing as much as UPLC-MS/MS in terms of information concerning metabolic information, it enabled the comparison of the two extraction protocols as well as the development of very good predictive models of patient’s survivability, such as the UPLC-MS/MS platform. Furthermore, FTIR spectroscopy is based on much simpler procedures and is rapid, economic, and applicable in the high-throughput mode, i.e., enabling the simultaneous analysis of hundreds of samples in the microliter range in a couple of hours. Therefore, FTIR spectroscopy represents a very interesting complementary technique not only to optimize processes as the metabolome isolation but also for obtaining biomarkers such as those for disease prognosis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationT. Fonseca, C. Von Rekowski, R. Araújo, M.C. Oliveira, G. Justino, C.R.C. Calado. The Impact of Serum extraction protocol on metabolomic profiling using UPLC-MS/MS and FTIR spectroscopy. ACS Omega, 2023, 8(23): 20755–20766. doi:10.1021/acsomega.3c01370pt_PT
dc.identifier.doi10.1021/acsomega.3c01370pt_PT
dc.identifier.eissn2470-1343
dc.identifier.urihttp://hdl.handle.net/10400.21/17201
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherACS Omegapt_PT
dc.relationRNEM-LISBOA-01-0145-FEDER-022125pt_PT
dc.relationLA/P/0056/2020pt_PT
dc.relationCentro de Química Estrutural
dc.relation.publisherversionhttps://pubs.acs.org/doi/epdf/10.1021/acsomega.3c01370pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectExtractionpt_PT
dc.subjectFourier transform infrared spectroscopypt_PT
dc.subjectMetabolismpt_PT
dc.subjectSerumpt_PT
dc.subjectSolventspt_PT
dc.titleThe Impact of the Serum Extraction Protocol on Metabolomic Profiling Using UPLC-MS/MS and FTIR Spectroscopypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentro de Química Estrutural
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0117%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00100%2F2020/PT
oaire.citation.endPage20766pt_PT
oaire.citation.startPage20755pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameHenrique Fonseca
person.familyNameVon Rekowski
person.familyNameAraújo
person.familyNameOliveira
person.familyNameJustino
person.familyNameBento
person.familyNameCalado
person.givenNameTiago Alexandre
person.givenNameCristiana
person.givenNameRúben Alexandre Dinis
person.givenNameMaria da Conceiçao
person.givenNameGonçalo
person.givenNameLuís
person.givenNameCecília
person.identifier1960990
person.identifier734387
person.identifier130332
person.identifier.ciencia-id8F1D-1D48-8551
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-id781D-3A77-5A3B
person.identifier.ciencia-idE711-FA12-4784
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0003-0741-2211
person.identifier.orcid0009-0009-6843-1935
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-1231-3763
person.identifier.orcid0000-0003-4828-4738
person.identifier.orcid0000-0002-0260-003X
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridB-3190-2011
person.identifier.ridL-6623-2018
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id6507263334
person.identifier.scopus-author-id6603163260
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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