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Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches
PURPOSE: Extensive inter-individual variability exists in the production of flavan-3-ol metabolites. Preliminary metabolic phenotypes (metabotypes) have been defined, but there is no consensus on the existence of metabotypes associated with the catabolism of catechins and proanthocyanidins. This stu...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921115/ https://www.ncbi.nlm.nih.gov/pubmed/34750642 http://dx.doi.org/10.1007/s00394-021-02692-z |
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author | Mena, Pedro Favari, Claudia Acharjee, Animesh Chernbumroong, Saisakul Bresciani, Letizia Curti, Claudio Brighenti, Furio Heiss, Christian Rodriguez-Mateos, Ana Del Rio, Daniele |
author_facet | Mena, Pedro Favari, Claudia Acharjee, Animesh Chernbumroong, Saisakul Bresciani, Letizia Curti, Claudio Brighenti, Furio Heiss, Christian Rodriguez-Mateos, Ana Del Rio, Daniele |
author_sort | Mena, Pedro |
collection | PubMed |
description | PURPOSE: Extensive inter-individual variability exists in the production of flavan-3-ol metabolites. Preliminary metabolic phenotypes (metabotypes) have been defined, but there is no consensus on the existence of metabotypes associated with the catabolism of catechins and proanthocyanidins. This study aims at elucidating the presence of different metabotypes in the urinary excretion of main flavan-3-ol colonic metabolites after consumption of cranberry products and at assessing the impact of the statistical technique used for metabotyping. METHODS: Data on urinary concentrations of phenyl-γ-valerolactones and 3-(hydroxyphenyl)propanoic acid derivatives from two human interventions has been used. Different multivariate statistics, principal component analysis (PCA), cluster analysis, and partial least square-discriminant analysis (PLS-DA), have been considered. RESULTS: Data pre-treatment plays a major role on resulting PCA models. Cluster analysis based on k-means and a final consensus algorithm lead to quantitative-based models, while the expectation–maximization algorithm and clustering according to principal component scores yield metabotypes characterized by quali-quantitative differences in the excretion of colonic metabolites. PLS-DA, together with univariate analyses, has served to validate the urinary metabotypes in the production of flavan-3-ol metabolites and to confirm the robustness of the methodological approach. CONCLUSIONS: This work proposes a methodological workflow for metabotype definition and highlights the importance of data pre-treatment and clustering methods on the final outcomes for a given dataset. It represents an additional step toward the understanding of the inter-individual variability in flavan-3-ol metabolism. TRIAL REGISTRATION: The acute study was registered at clinicaltrials.gov as NCT02517775, August 7, 2015; the chronic study was registered at clinicaltrials.gov as NCT02764749, May 6, 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-021-02692-z. |
format | Online Article Text |
id | pubmed-8921115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89211152022-03-17 Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches Mena, Pedro Favari, Claudia Acharjee, Animesh Chernbumroong, Saisakul Bresciani, Letizia Curti, Claudio Brighenti, Furio Heiss, Christian Rodriguez-Mateos, Ana Del Rio, Daniele Eur J Nutr Original Contribution PURPOSE: Extensive inter-individual variability exists in the production of flavan-3-ol metabolites. Preliminary metabolic phenotypes (metabotypes) have been defined, but there is no consensus on the existence of metabotypes associated with the catabolism of catechins and proanthocyanidins. This study aims at elucidating the presence of different metabotypes in the urinary excretion of main flavan-3-ol colonic metabolites after consumption of cranberry products and at assessing the impact of the statistical technique used for metabotyping. METHODS: Data on urinary concentrations of phenyl-γ-valerolactones and 3-(hydroxyphenyl)propanoic acid derivatives from two human interventions has been used. Different multivariate statistics, principal component analysis (PCA), cluster analysis, and partial least square-discriminant analysis (PLS-DA), have been considered. RESULTS: Data pre-treatment plays a major role on resulting PCA models. Cluster analysis based on k-means and a final consensus algorithm lead to quantitative-based models, while the expectation–maximization algorithm and clustering according to principal component scores yield metabotypes characterized by quali-quantitative differences in the excretion of colonic metabolites. PLS-DA, together with univariate analyses, has served to validate the urinary metabotypes in the production of flavan-3-ol metabolites and to confirm the robustness of the methodological approach. CONCLUSIONS: This work proposes a methodological workflow for metabotype definition and highlights the importance of data pre-treatment and clustering methods on the final outcomes for a given dataset. It represents an additional step toward the understanding of the inter-individual variability in flavan-3-ol metabolism. TRIAL REGISTRATION: The acute study was registered at clinicaltrials.gov as NCT02517775, August 7, 2015; the chronic study was registered at clinicaltrials.gov as NCT02764749, May 6, 2016. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-021-02692-z. Springer Berlin Heidelberg 2021-11-09 2022 /pmc/articles/PMC8921115/ /pubmed/34750642 http://dx.doi.org/10.1007/s00394-021-02692-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Contribution Mena, Pedro Favari, Claudia Acharjee, Animesh Chernbumroong, Saisakul Bresciani, Letizia Curti, Claudio Brighenti, Furio Heiss, Christian Rodriguez-Mateos, Ana Del Rio, Daniele Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title | Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title_full | Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title_fullStr | Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title_full_unstemmed | Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title_short | Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
title_sort | metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921115/ https://www.ncbi.nlm.nih.gov/pubmed/34750642 http://dx.doi.org/10.1007/s00394-021-02692-z |
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