RT Journal Article
T1 Clinical phenotype clustering in cardiovascular risk patients for the identification of responsive metabotypes after red wine polyphenol intake.
A1 Vázquez-Fresno, Rosa
A1 Llorach, Rafael
A1 Perera, Alexandre
A1 Mandal, Rupasri
A1 Feliz, Miguel
A1 Tinahones, Francisco J
A1 Wishart, David S
A1 Andres-Lacueva, Cristina
K1 4-Hydroxyphenylacetate
K1 Cardiovascular disease
K1 Gut microbiota
K1 Metabolic phenotype
K1 Metabolomics
K1 Metabotype
K1 NMR
K1 Wine polyphenols
AB 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 (1)H-NMR data revealed that model comparing "obese and diabetic cluster" (OD-c) against "healthier cluster" (H-c) showed the best predictability and robustness in terms of explaining the pairwise differences between clusters. Considering these two clusters, distinct groups of metabolites were observed following an intervention with wine polyphenol intake (WPI; 733 equivalents of gallic acid/day) per 28days. Glucose was significantly linked to OD-c metabotype (P
YR 2015
FD 2015-10-26
LK http://hdl.handle.net/10668/9837
UL http://hdl.handle.net/10668/9837
LA en
DS RISalud
RD Apr 8, 2025