Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites

Background: Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavai...

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Autores: González-Domínguez, Raúl, Jáuregui Pallarés, Olga, Mena, Pedro, Hanhineva, Kati, Tinahones, Francisco J., Angelino, Donato, Andrés Lacueva, Ma. Cristina
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/169458
Acceso en línea:https://hdl.handle.net/2445/169458
Access Level:acceso abierto
Palabra clave:Metabolòmica
Dieta
Microbiota
Nutrició
Metabolomics
Diet
Nutrition
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spelling Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolitesGonzález-Domínguez, RaúlJáuregui Pallarés, OlgaMena, PedroHanhineva, KatiTinahones, Francisco J.Angelino, DonatoAndrés Lacueva, Ma. CristinaMetabolòmicaDietaMicrobiotaNutricióMetabolomicsDietMicrobiotaNutritionBackground: Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory. Methods: In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal. Results: After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites. Conclusions: The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.Nature Publishing Group2020202020202020info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/2445/169458Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1038/s41366-020-0628-1International Journal of Obesity, 2020https://doi.org/10.1038/s41366-020-0628-1(c) Gonzalez-Dominguez, Raul et al., 2020info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1694582026-05-29T05:05:01Z
dc.title.none.fl_str_mv Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
title Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
spellingShingle Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
González-Domínguez, Raúl
Metabolòmica
Dieta
Microbiota
Nutrició
Metabolomics
Diet
Microbiota
Nutrition
title_short Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
title_full Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
title_fullStr Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
title_full_unstemmed Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
title_sort Quantifying the human diet in the crosstalk between nutrition and health by multi-targeted metabolomics of food and microbiota-derived metabolites
dc.creator.none.fl_str_mv González-Domínguez, Raúl
Jáuregui Pallarés, Olga
Mena, Pedro
Hanhineva, Kati
Tinahones, Francisco J.
Angelino, Donato
Andrés Lacueva, Ma. Cristina
author González-Domínguez, Raúl
author_facet González-Domínguez, Raúl
Jáuregui Pallarés, Olga
Mena, Pedro
Hanhineva, Kati
Tinahones, Francisco J.
Angelino, Donato
Andrés Lacueva, Ma. Cristina
author_role author
author2 Jáuregui Pallarés, Olga
Mena, Pedro
Hanhineva, Kati
Tinahones, Francisco J.
Angelino, Donato
Andrés Lacueva, Ma. Cristina
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Metabolòmica
Dieta
Microbiota
Nutrició
Metabolomics
Diet
Microbiota
Nutrition
topic Metabolòmica
Dieta
Microbiota
Nutrició
Metabolomics
Diet
Microbiota
Nutrition
description Background: Metabolomics is a powerful tool for investigating the association between nutrition and health status. Although urine is commonly employed for studying the metabolism and transformation of food components, the use of blood samples could be preferable to gain new insights into the bioavailability of diet-derived compounds and their involvement in health. However, the chemical complexity of blood samples hinders the analysis of this biological fluid considerably, which makes the development of novel and comprehensive analytical methods mandatory. Methods: In this work, we optimized a multi-targeted metabolomics platform for the quantitative and simultaneous analysis of 450 food-derived metabolites by ultra-high performance liquid chromatography coupled to tandem mass spectrometry. To handle the chemical complexity of blood samples, three complementary extraction methods were assayed and compared in terms of recovery, sensitivity, precision and matrix effects with the aim of maximizing metabolomics coverage: protein precipitation, reversed solid-phase extraction, and hybrid protein precipitation with solid-phase extraction-mediated phospholipid removal. Results: After careful optimization of the extraction conditions, protein precipitation enabled the most efficient and high-throughput extraction of the food metabolome in plasma, although solid-phase extraction-based protocols provided complementary performance for the analysis of specific polyphenol classes. The developed method yielded accurate recovery rates with negligible matrix effects, and good linearity, as well as high sensitivity and precision for most of the analyzed metabolites. Conclusions: The multi-targeted metabolomics platform optimized in this work enables the simultaneous detection and quantitation of 450 dietary metabolites in short-run times using small volumes of biological sample, which facilitates its application to epidemiological studies.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/169458
url https://hdl.handle.net/2445/169458
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1038/s41366-020-0628-1
International Journal of Obesity, 2020
https://doi.org/10.1038/s41366-020-0628-1
dc.rights.none.fl_str_mv (c) Gonzalez-Dominguez, Raul et al., 2020
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Gonzalez-Dominguez, Raul et al., 2020
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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