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A Simple, label-free, and high-throughput method to evaluate the epigallocatechin-3-gallate impact in plasma molecular profile

2020-04-09Journal article Open access
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dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorDa Paz, Helder
dc.contributor.authorRibeiro, Edna
dc.contributor.authorCalado, Cecília
dc.date.accessioned2020-07-31T15:00:21Z
dc.date.available2020-07-31T15:00:21Z
dc.date.issued2020-04-09
dc.descriptionEste trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência IPL/2018/RENALPROG_ISEL
dc.description.abstractEpigallocatechin-3-gallate (EGCG), the major catechin presente in green tea, presents diverse appealing biological activities, such as antioxidative, anti-inflammatory, antimicrobial, and antiviral activities, among others. The present work evaluated the impact in the molecular profile of human plasma from daily consumption of 225 mg of EGCG for 90 days. Plasma from peripheral blood was collected from 30 healthy human volunteers and analyzed by high-throughput Fourier transform infrared spectroscopy. To capture the biochemical information while minimizing the interference of physical phenomena, several combinations of spectra pre-processing methods were evaluated by principal component analysis. The pre-processing method that led to the best class separation, that is, between the plasma spectral data collected at the beginning and after the 90 days, was a combination of atmospheric correction with a second derivative spectra. A hierarchical cluster analysis of second derivativespectraalsohighlightedthefactthatplasmaacquiredbeforeEGCGconsumptionpresented a distinct molecular profile after the 90 days of EGCG consumption. It was also possible by partial least squares regression discriminant analysis to correctly predict all unlabeled plasma samples (not used for model construction) at both timeframes. We observed that the similarity in composition among the plasma samples was higher in samples collected after EGCG consumption when compared with the samples taken prior to EGCG consumption. Diverse negative peaks of the normalized second derivative spectra, associated with lipid and protein regions, were significantly affected (p < 0.001) by EGCG consumption, according to the impact of EGCG consumption on the patients’ blood, low density and high density lipoproteins ratio. In conclusion, a single bolus dose of 225 mg of EGCG, ingested throughout a period of 90 days, drastically affected plasma molecular composition in all participants, which raises awareness regarding prolonged human exposure to EGCG. Because the analysis was conducted in a high-throughput, label-free, and economic analysis, it could be applied to high-dimension molecular epidemiological studies to further promote the understanding of the effect of bio-compound consumption mode and frequency.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationARAÚJO, Rúben; [et al] – A Simple, label-free, and high-throughput method to evaluate the epigallocatechin-3-gallate impact in plasma molecular profile. High-Throughput. ISSN 2571-5135. Vol. 9, N.º 2 (2020), pp. 1-12pt_PT
dc.identifier.doi10.3390/ht9020009pt_PT
dc.identifier.issn2571-5135
dc.identifier.urihttp://hdl.handle.net/10400.21/12132
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_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/2018/RENALPROG_ISELpt_PT
dc.relation.publisherversionhttps://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7349803&blobtype=pdfpt_PT
dc.subjectHigh-throughputpt_PT
dc.subjectFTIR spectroscopypt_PT
dc.subjectEGCGpt_PT
dc.subjectPlasmapt_PT
dc.titleA Simple, label-free, and high-throughput method to evaluate the epigallocatechin-3-gallate impact in plasma molecular profilept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage12pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleHigh-Throughputpt_PT
oaire.citation.volume9pt_PT
person.familyNameAraújo
person.familyNameRamalhete
person.familyNameDa Paz
person.familyNameRibeiro
person.familyNameCalado
person.givenNameRúben Alexandre Dinis
person.givenNameLuís
person.givenNameHelder
person.givenNameEdna
person.givenNameCecília
person.identifier2296066
person.identifier130332
person.identifier.ciencia-id9A18-BFDC-ED95
person.identifier.ciencia-idDF19-022D-AA10
person.identifier.ciencia-idC414-CDF2-D35A
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-9369-6486
person.identifier.orcid0000-0002-8911-3380
person.identifier.orcid0000-0003-1749-9605
person.identifier.orcid0000-0003-1316-7750
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id57208672678
person.identifier.scopus-author-id6603163260
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9998e940-5e65-4661-8308-afcb56d5df01
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relation.isAuthorOfPublication.latestForDiscovery5473e051-c0a8-4452-acd9-4c8692c03218

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