Cargando…

Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics

In nutrition and health research, untargeted metabolomics is actually analyzed simultaneously with clinical data to improve prediction and better understand pathological status. This can be modeled using a multiblock supervised model with several input data blocks (metabolomics, clinical data) being...

Descripción completa

Detalles Bibliográficos
Autores principales: Brandolini-Bunlon, Marion, Jaillais, Benoit, Cariou, Véronique, Comte, Blandine, Pujos-Guillot, Estelle, Vigneau, Evelyne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058487/
https://www.ncbi.nlm.nih.gov/pubmed/36984813
http://dx.doi.org/10.3390/metabo13030373
_version_ 1785016643209920512
author Brandolini-Bunlon, Marion
Jaillais, Benoit
Cariou, Véronique
Comte, Blandine
Pujos-Guillot, Estelle
Vigneau, Evelyne
author_facet Brandolini-Bunlon, Marion
Jaillais, Benoit
Cariou, Véronique
Comte, Blandine
Pujos-Guillot, Estelle
Vigneau, Evelyne
author_sort Brandolini-Bunlon, Marion
collection PubMed
description In nutrition and health research, untargeted metabolomics is actually analyzed simultaneously with clinical data to improve prediction and better understand pathological status. This can be modeled using a multiblock supervised model with several input data blocks (metabolomics, clinical data) being potential predictors of the outcome to be explained. Alternatively, this configuration can be represented with a path diagram where the input blocks are each connected by links directed to the outcome—as in multiblock supervised modeling—and are also related to each other, thus allowing one to account for block effects. On the basis of a path model, we show herein how to estimate the effect of an input block, either on its own or conditionally to other(s), on the output response, respectively called “global” and “partial” effects, by percentages of explained variance in dedicated PLS regression models. These effects have been computed in two different path diagrams in a case study relative to metabolic syndrome, involving metabolomics and clinical data from an older men′s cohort (NuAge). From the two effects associated with each path, the results highlighted the complementary information provided by metabolomics to clinical data and, reciprocally, in the metabolic syndrome exploration.
format Online
Article
Text
id pubmed-10058487
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100584872023-03-30 Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics Brandolini-Bunlon, Marion Jaillais, Benoit Cariou, Véronique Comte, Blandine Pujos-Guillot, Estelle Vigneau, Evelyne Metabolites Article In nutrition and health research, untargeted metabolomics is actually analyzed simultaneously with clinical data to improve prediction and better understand pathological status. This can be modeled using a multiblock supervised model with several input data blocks (metabolomics, clinical data) being potential predictors of the outcome to be explained. Alternatively, this configuration can be represented with a path diagram where the input blocks are each connected by links directed to the outcome—as in multiblock supervised modeling—and are also related to each other, thus allowing one to account for block effects. On the basis of a path model, we show herein how to estimate the effect of an input block, either on its own or conditionally to other(s), on the output response, respectively called “global” and “partial” effects, by percentages of explained variance in dedicated PLS regression models. These effects have been computed in two different path diagrams in a case study relative to metabolic syndrome, involving metabolomics and clinical data from an older men′s cohort (NuAge). From the two effects associated with each path, the results highlighted the complementary information provided by metabolomics to clinical data and, reciprocally, in the metabolic syndrome exploration. MDPI 2023-03-02 /pmc/articles/PMC10058487/ /pubmed/36984813 http://dx.doi.org/10.3390/metabo13030373 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brandolini-Bunlon, Marion
Jaillais, Benoit
Cariou, Véronique
Comte, Blandine
Pujos-Guillot, Estelle
Vigneau, Evelyne
Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title_full Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title_fullStr Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title_full_unstemmed Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title_short Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics
title_sort global and partial effect assessment in metabolic syndrome explored by metabolomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058487/
https://www.ncbi.nlm.nih.gov/pubmed/36984813
http://dx.doi.org/10.3390/metabo13030373
work_keys_str_mv AT brandolinibunlonmarion globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics
AT jaillaisbenoit globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics
AT cariouveronique globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics
AT comteblandine globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics
AT pujosguillotestelle globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics
AT vigneauevelyne globalandpartialeffectassessmentinmetabolicsyndromeexploredbymetabolomics