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Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study

PURPOSE: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. METHODS: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study...

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Autores principales: Noerman, Stefania, Virtanen, Jyrki K., Lehtonen, Marko, Brunius, Carl, Hanhineva, Kati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941277/
https://www.ncbi.nlm.nih.gov/pubmed/36198920
http://dx.doi.org/10.1007/s00394-022-03010-x
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author Noerman, Stefania
Virtanen, Jyrki K.
Lehtonen, Marko
Brunius, Carl
Hanhineva, Kati
author_facet Noerman, Stefania
Virtanen, Jyrki K.
Lehtonen, Marko
Brunius, Carl
Hanhineva, Kati
author_sort Noerman, Stefania
collection PubMed
description PURPOSE: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. METHODS: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) cohort. The samples were analyzed using nontargeted metabolomics with liquid chromatography coupled with mass spectrometry (LC–MS). Association with WG intake was investigated using both random forest followed by linear regression adjusted for age, BMI, smoking, physical activity, energy and alcohol consumption, and partial Spearman correlation adjusted for the same covariates. Features selected by any of these models were shortlisted for annotation. We then checked if we could replicate the findings in an independent subset from the same cohort (n = 200). RESULTS: Direct associations were observed between WG intake and pipecolic acid betaine, tetradecanedioic acid, four glucuronidated alkylresorcinols (ARs), and an unknown metabolite both in discovery and replication cohorts. The associations remained significant (FDR<0.05) even after adjustment for the confounders in both cohorts. Sinapyl alcohol was positively correlated with WG intake in both cohorts after adjustment for the confounders but not in linear models in the replication cohort. Some microbial metabolites, such as indolepropionic acid, were positively correlated with WG intake in the discovery cohort, but the correlations were not replicated in the replication cohort. CONCLUSIONS: The identified associations between WG intake and the seven metabolites after adjusting for confounders in both discovery and replication cohorts suggest the potential of these metabolites as robust biomarkers of WG consumption. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-03010-x.
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spelling pubmed-99412772023-02-22 Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study Noerman, Stefania Virtanen, Jyrki K. Lehtonen, Marko Brunius, Carl Hanhineva, Kati Eur J Nutr Original Contribution PURPOSE: To identify fasting serum metabolites associated with WG intake in a free-living population adjusted for potential confounders. METHODS: We selected fasting serum samples at baseline from a subset (n = 364) of the prospective population-based Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) cohort. The samples were analyzed using nontargeted metabolomics with liquid chromatography coupled with mass spectrometry (LC–MS). Association with WG intake was investigated using both random forest followed by linear regression adjusted for age, BMI, smoking, physical activity, energy and alcohol consumption, and partial Spearman correlation adjusted for the same covariates. Features selected by any of these models were shortlisted for annotation. We then checked if we could replicate the findings in an independent subset from the same cohort (n = 200). RESULTS: Direct associations were observed between WG intake and pipecolic acid betaine, tetradecanedioic acid, four glucuronidated alkylresorcinols (ARs), and an unknown metabolite both in discovery and replication cohorts. The associations remained significant (FDR<0.05) even after adjustment for the confounders in both cohorts. Sinapyl alcohol was positively correlated with WG intake in both cohorts after adjustment for the confounders but not in linear models in the replication cohort. Some microbial metabolites, such as indolepropionic acid, were positively correlated with WG intake in the discovery cohort, but the correlations were not replicated in the replication cohort. CONCLUSIONS: The identified associations between WG intake and the seven metabolites after adjusting for confounders in both discovery and replication cohorts suggest the potential of these metabolites as robust biomarkers of WG consumption. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00394-022-03010-x. Springer Berlin Heidelberg 2022-10-06 2023 /pmc/articles/PMC9941277/ /pubmed/36198920 http://dx.doi.org/10.1007/s00394-022-03010-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Contribution
Noerman, Stefania
Virtanen, Jyrki K.
Lehtonen, Marko
Brunius, Carl
Hanhineva, Kati
Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title_full Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title_fullStr Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title_full_unstemmed Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title_short Serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
title_sort serum metabolites associated with wholegrain consumption using nontargeted metabolic profiling: a discovery and reproducibility study
topic Original Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9941277/
https://www.ncbi.nlm.nih.gov/pubmed/36198920
http://dx.doi.org/10.1007/s00394-022-03010-x
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