Literature DB >> 30176196

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies.

Marynka M Ulaszewska1, Christoph H Weinert2, Alessia Trimigno3, Reto Portmann4, Cristina Andres Lacueva5, René Badertscher4, Lorraine Brennan6, Carl Brunius7, Achim Bub8, Francesco Capozzi3, Marta Cialiè Rosso9, Chiara E Cordero9, Hannelore Daniel10, Stéphanie Durand11, Bjoern Egert2, Paola G Ferrario8, Edith J M Feskens12, Pietro Franceschi13, Mar Garcia-Aloy5, Franck Giacomoni11, Pieter Giesbertz14, Raúl González-Domínguez5, Kati Hanhineva15, Lieselot Y Hemeryck16, Joachim Kopka17, Sabine E Kulling2, Rafael Llorach5, Claudine Manach18, Fulvio Mattivi1,19, Carole Migné11, Linda H Münger20, Beate Ott21,22, Gianfranco Picone3, Grégory Pimentel20, Estelle Pujos-Guillot11, Samantha Riccadonna13, Manuela J Rist8, Caroline Rombouts16, Josep Rubert1, Thomas Skurk21,22, Pedapati S C Sri Harsha6, Lieven Van Meulebroek16, Lynn Vanhaecke16, Rosa Vázquez-Fresno23, David Wishart23, Guy Vergères20.   

Abstract

The life sciences are currently being transformed by an unprecedented wave of developments in molecular analysis, which include important advances in instrumental analysis as well as biocomputing. In light of the central role played by metabolism in nutrition, metabolomics is rapidly being established as a key analytical tool in human nutritional studies. Consequently, an increasing number of nutritionists integrate metabolomics into their study designs. Within this dynamic landscape, the potential of nutritional metabolomics (nutrimetabolomics) to be translated into a science, which can impact on health policies, still needs to be realized. A key element to reach this goal is the ability of the research community to join, to collectively make the best use of the potential offered by nutritional metabolomics. This article, therefore, provides a methodological description of nutritional metabolomics that reflects on the state-of-the-art techniques used in the laboratories of the Food Biomarker Alliance (funded by the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL)) as well as points of reflections to harmonize this field. It is not intended to be exhaustive but rather to present a pragmatic guidance on metabolomic methodologies, providing readers with useful "tips and tricks" along the analytical workflow.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  GC-MS; LC-MS; NMR; metabolomics; nutrition

Mesh:

Substances:

Year:  2018        PMID: 30176196     DOI: 10.1002/mnfr.201800384

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  48 in total

1.  FOBI: an ontology to represent food intake data and associate it with metabolomic data.

Authors:  Pol Castellano-Escuder; Raúl González-Domínguez; David S Wishart; Cristina Andrés-Lacueva; Alex Sánchez-Pla
Journal:  Database (Oxford)       Date:  2020-01-01       Impact factor: 3.451

2.  Metabolite Structure Assignment Using In Silico NMR Techniques.

Authors:  Susanta Das; Arthur S Edison; Kenneth M Merz
Journal:  Anal Chem       Date:  2020-07-15       Impact factor: 6.986

Review 3.  Corylus avellana L. Aroma Blueprint: Potent Odorants Signatures in the Volatilome of High Quality Hazelnuts.

Authors:  Simone Squara; Federico Stilo; Marta Cialiè Rosso; Erica Liberto; Nicola Spigolon; Giuseppe Genova; Giuseppe Castello; Carlo Bicchi; Chiara Cordero
Journal:  Front Plant Sci       Date:  2022-03-03       Impact factor: 5.753

4.  Valuing the Diversity of Research Methods to Advance Nutrition Science.

Authors:  Richard D Mattes; Sylvia B Rowe; Sarah D Ohlhorst; Andrew W Brown; Daniel J Hoffman; DeAnn J Liska; Edith J M Feskens; Jaapna Dhillon; Katherine L Tucker; Leonard H Epstein; Lynnette M Neufeld; Michael Kelley; Naomi K Fukagawa; Roger A Sunde; Steven H Zeisel; Anthony J Basile; Laura E Borth; Emahlea Jackson
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

5.  Nutriome-metabolome relationships provide insights into dietary intake and metabolism.

Authors:  Joram M Posma; Isabel Garcia-Perez; Gary Frost; Ghadeer S Aljuraiban; Queenie Chan; Linda Van Horn; Martha Daviglus; Jeremiah Stamler; Elaine Holmes; Paul Elliott; Jeremy K Nicholson
Journal:  Nat Food       Date:  2020-06-22

Review 6.  Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review.

Authors:  Talha Rafiq; Sandi M Azab; Koon K Teo; Lehana Thabane; Sonia S Anand; Katherine M Morrison; Russell J de Souza; Philip Britz-McKibbin
Journal:  Adv Nutr       Date:  2021-12-01       Impact factor: 8.701

Review 7.  Development of Personalized Nutrition: Applications in Lactose Intolerance Diagnosis and Management.

Authors:  Millie Porzi; Kathryn J Burton-Pimentel; Barbara Walther; Guy Vergères
Journal:  Nutrients       Date:  2021-04-29       Impact factor: 5.717

8.  Serum Metabolites Responding in a Dose-Dependent Manner to the Intake of a High-Fat Meal in Normal Weight Healthy Men Are Associated with Obesity.

Authors:  Ueli Bütikofer; David Burnand; Reto Portmann; Carola Blaser; Flurina Schwander; Katrin A Kopf-Bolanz; Kurt Laederach; René Badertscher; Barbara Walther; Guy Vergères
Journal:  Metabolites       Date:  2021-06-16

Review 9.  You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research.

Authors:  Abdul-Hamid M Emwas; Nahla Al-Rifai; Kacper Szczepski; Shuruq Alsuhaymi; Saleh Rayyan; Hanan Almahasheer; Mariusz Jaremko; Lorraine Brennan; Joanna Izabela Lachowicz
Journal:  Foods       Date:  2021-05-31

Review 10.  A Scoping Review: Metabolomics Signatures Associated with Animal and Plant Protein Intake and Their Potential Relation with Cardiometabolic Risk.

Authors:  Gaïa Lépine; Hélène Fouillet; Didier Rémond; Jean-François Huneau; François Mariotti; Sergio Polakof
Journal:  Adv Nutr       Date:  2021-12-01       Impact factor: 11.567

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