Clinical phenotype clustering in cardiovascular risk patients for the identification of responsive metabotypes after red wine polyphenol intake
Visualitza/Obre
10.1016/j.jnutbio.2015.10.002
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/85014
Tipus de documentArticle
Data publicació2016-02-01
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
© 2015 Elsevier Inc. This study aims to evaluate the robustness of clinical and metabolic phenotyping through, for the first time, the identification of differential responsiveness to dietary strategies in the improvement of cardiometabolic risk conditions. Clinical phenotyping of 57 volunteers with cardiovascular risk factors was achieved using k-means cluster analysis based on 69 biochemical and anthropometric parameters. Cluster validation based on Dunn and Figure of Merit analysis for internal coherence and external homogeneity were employed. k-Means produced four clusters with particular clinical profiles. Differences on urine metabolomic profiles among clinical phenotypes were explored and validated by multivariate orthogonal signal correction partial least-squares discriminant analysis (OSC-PLS-DA) models. OSC-PLS-DA of 1H-NMR data revealed that model comparing
CitacióVazquez, R., Llorach, R., Perera, A., Mandal, R., Feliz, M., Tinahones, F., Wishart, D., Andres, C. Clinical phenotype clustering in cardiovascular risk patients for the identification of responsive metabotypes after red wine polyphenol intake. "Journal of nutritional biochemistry", 01 Febrer 2016, vol. 28, p. 114-120.
ISSN0955-2863
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
RMN_Wine draft_1a.pdf | 1,121Mb | Visualitza/Obre |