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

2020-04Artigo científico Acesso aberto
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dc.contributor.authorAraújo, Rúben
dc.contributor.authorRamalhete, Luís
dc.contributor.authorPaz, Helder da
dc.contributor.authorRibeiro, Edna
dc.contributor.authorCalado, Cecília R. C.
dc.date.accessioned2020-05-05T16:40:59Z
dc.date.available2020-05-05T16:40:59Z
dc.date.issued2020-04
dc.description.abstractEpigallocatechin-3-gallate (EGCG), the major catechin present 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 derivative spectra also highlighted the fact that plasma acquired before EGCG consumption presented 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 R, Ramalhete L, Paz H, Ribeiro E, Calado C. A simple, label-free, and high-throughput method to evaluate the epigallocatechin-3-gallate impact in plasma molecular profile. High-Throughput. 2020;9(2):9.pt_PT
dc.identifier.doi10.3390/ht9020009pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/11586
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2571-5135/9/2/9pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectHigh-throughputpt_PT
dc.subjectFTIR spectroscopypt_PT
dc.subjectEGCGpt_PT
dc.subjectPlasmapt_PT
dc.subjectEpigallocatechin-3-gallatept_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.issue2pt_PT
oaire.citation.startPage9pt_PT
oaire.citation.titleHigh-Throughputpt_PT
oaire.citation.volume9pt_PT
person.familyNameRibeiro
person.givenNameEdna
person.identifier.ciencia-idC414-CDF2-D35A
person.identifier.orcid0000-0003-1316-7750
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa571bf34-bcda-49ca-b5cb-4cdecbb3d9c7
relation.isAuthorOfPublication.latestForDiscoverya571bf34-bcda-49ca-b5cb-4cdecbb3d9c7

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