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

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 leve...

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Autores principales: Barbe, Valentin, de Toro-Martín, Juan, San-Cristobal, Rodrigo, Garneau, Véronique, Pilon, Geneviève, Couture, Patrick, Roy, Denis, Couillard, Charles, Marette, André, Vohl, Marie-Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130762/
https://www.ncbi.nlm.nih.gov/pubmed/37125033
http://dx.doi.org/10.3389/fnut.2023.1104685
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author Barbe, Valentin
de Toro-Martín, Juan
San-Cristobal, Rodrigo
Garneau, Véronique
Pilon, Geneviève
Couture, Patrick
Roy, Denis
Couillard, Charles
Marette, André
Vohl, Marie-Claude
author_facet Barbe, Valentin
de Toro-Martín, Juan
San-Cristobal, Rodrigo
Garneau, Véronique
Pilon, Geneviève
Couture, Patrick
Roy, Denis
Couillard, Charles
Marette, André
Vohl, Marie-Claude
author_sort Barbe, Valentin
collection PubMed
description 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 compared between response subgroups. RESULTS: Two subgroups of participants, type 1 responders (n = 17) and type 2 responders (n = 5), were identified based on plasma metabolite levels measured during the intervention. Type 1 responders showed neutral to negative effects on immune-metabolic clinical parameters after raspberry consumption, and type 2 responders showed positive effects on the same parameters. Changes in waist circumference, waist-to-hip ratio, fasting plasma apolipoprotein B, C-reactive protein and insulin levels as well as Matsuda, HOMA-IR and QUICKI were significantly different between the two response subgroups. A deleterious effect of two carotenoid metabolites was also observed in type 1 responders but these variables were significantly associated with beneficial changes in the QUICKI index and in fasting insulin levels in type 2 responders. Increased 3-ureidopropionate levels were associated with a decrease in the Matsuda index in type 2 responders, suggesting that this metabolite is associated with a decrease in insulin sensitivity for those subjects, whereas the opposite was observed for type 1 responders. CONCLUSION: The beneficial effects associated with red raspberry consumption are subject to inter-individual variability. Metabolomics-based clustering appears to be an effective way to assess adherence to a nutritional intervention and to classify individuals according to their immune-metabolic responsiveness to the intervention. This approach may be replicated in future studies to provide a better understanding of how interindividual variability impacts the effects of nutritional interventions on immune-metabolic health.
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spelling pubmed-101307622023-04-27 A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption Barbe, Valentin de Toro-Martín, Juan San-Cristobal, Rodrigo Garneau, Véronique Pilon, Geneviève Couture, Patrick Roy, Denis Couillard, Charles Marette, André Vohl, Marie-Claude Front Nutr Nutrition 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 compared between response subgroups. RESULTS: Two subgroups of participants, type 1 responders (n = 17) and type 2 responders (n = 5), were identified based on plasma metabolite levels measured during the intervention. Type 1 responders showed neutral to negative effects on immune-metabolic clinical parameters after raspberry consumption, and type 2 responders showed positive effects on the same parameters. Changes in waist circumference, waist-to-hip ratio, fasting plasma apolipoprotein B, C-reactive protein and insulin levels as well as Matsuda, HOMA-IR and QUICKI were significantly different between the two response subgroups. A deleterious effect of two carotenoid metabolites was also observed in type 1 responders but these variables were significantly associated with beneficial changes in the QUICKI index and in fasting insulin levels in type 2 responders. Increased 3-ureidopropionate levels were associated with a decrease in the Matsuda index in type 2 responders, suggesting that this metabolite is associated with a decrease in insulin sensitivity for those subjects, whereas the opposite was observed for type 1 responders. CONCLUSION: The beneficial effects associated with red raspberry consumption are subject to inter-individual variability. Metabolomics-based clustering appears to be an effective way to assess adherence to a nutritional intervention and to classify individuals according to their immune-metabolic responsiveness to the intervention. This approach may be replicated in future studies to provide a better understanding of how interindividual variability impacts the effects of nutritional interventions on immune-metabolic health. Frontiers Media S.A. 2023-03-23 /pmc/articles/PMC10130762/ /pubmed/37125033 http://dx.doi.org/10.3389/fnut.2023.1104685 Text en Copyright © 2023 Barbe, de Toro-Martín, San-Cristobal, Garneau, Pilon, Couture, Roy, Couillard, Marette and Vohl. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Barbe, Valentin
de Toro-Martín, Juan
San-Cristobal, Rodrigo
Garneau, Véronique
Pilon, Geneviève
Couture, Patrick
Roy, Denis
Couillard, Charles
Marette, André
Vohl, Marie-Claude
A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title_full A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title_fullStr A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title_full_unstemmed A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title_short A discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
title_sort discriminant analysis of plasma metabolomics for the assessment of metabolic responsiveness to red raspberry consumption
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130762/
https://www.ncbi.nlm.nih.gov/pubmed/37125033
http://dx.doi.org/10.3389/fnut.2023.1104685
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