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Dataset Information

A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption.


ABSTRACT:

Background

Many studies show that the intake of raspberries is beneficial to immune-metabolic health, but the responses of individuals are heterogeneous and not fully understood.

Methods

In a two-arm parallel-group, randomized, controlled trial, immune-metabolic outcomes and plasma metabolite levels were analyzed before and after an 8-week red raspberry consumption. Based on partial least squares discriminant analysis (PLS-DA) on plasma xenobiotic levels, adherence to the intervention was first evaluated. A second PLS-DA followed by hierarchical clustering was used to classify individuals into response subgroups. Clinical immune and metabolic outcomes, including insulin resistance (HOMA-IR) and sensitivity (Matsuda, QUICKI) indices, during the intervention were assessed and

SUBMITTER: Barbe V 

PROVIDER: S-EPMC10130762 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature