G
Gaëlle Favé
Researcher at Newcastle University
Publications - 13
Citations - 1105
Gaëlle Favé is an academic researcher from Newcastle University. The author has contributed to research in topics: Phospholipid & Lipase. The author has an hindex of 9, co-authored 13 publications receiving 1029 citations. Previous affiliations of Gaëlle Favé include Aberystwyth University & French Institute of Health and Medical Research.
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Journal ArticleDOI
Polyphenols and Human Health: A Prospectus
Francesco Visioli,Catalina Alarcón de la Lastra,Cristina Andres-Lacueva,Michael Aviram,Conceição Calhau,Alfredo Cassano,Massimo D'Archivio,Ana Faria,Gaëlle Favé,Vincenzo Fogliano,Rafael Llorach,Paola Vitaglione,Mario Zoratti,Marvin Edeas +13 more
TL;DR: The recent findings concerning the effects of polyphenols on human health are summarized, the current limitations at pitfalls are analyzed, and future directions for research are proposed.
Journal Article
Physicochemical properties of lipids: new strategies to manage fatty acid bioavailability.
TL;DR: All these aspects provide convincing support for the possibility of using biotechnologically remodeled lipids with specific physicochemical properties for health benefits.
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Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption
TL;DR: Non-targeted metabolite fingerprinting was used to explore the relationships between citrus exposure in free-living human subjects and the chemical content of urine to discover discriminatory features associated with the level of citrus exposure.
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Use of mass spectrometry fingerprinting to identify urinary metabolites after consumption of specific foods
Amanda J. Lloyd,Gaëlle Favé,Manfred Beckmann,Wanchang Lin,Kathleen Tailliart,Long Xie,John C. Mathers,John Draper +7 more
TL;DR: This biomarker lead discovery strategy can identify urinary metabolites associated with acute exposure to individual foods and validate the specificity and utility of potential biomarkers in an epidemiologic context.
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Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study.
Jean-Charles Martin,Mathieu Maillot,Gerard Mazerolles,Alexandre Verdu,Bernard Lyan,Carole Migné,Catherine Defoort,Cécile Canlet,Christophe Junot,Claude Guillou,Claudine Manach,Daniel J. Jacob,Delphine Jouan-Rimbaud Bouveresse,Estelle Paris,Estelle Pujos-Guillot,Fabien Jourdan,Franck Giacomoni,Frédérique Courant,Gaëlle Favé,Gwénaëlle Le Gall,Hubert Chassaigne,Jean-Claude Tabet,Jean-François Martin,Jean-Philippe Antignac,Laetitia Shintu,Marianne Defernez,Mark Philo,Marie-Cécile Alexandre Gouaubau,Marie Josephe Amiot-Carlin,Mathilde Bossis,Mohamed N. Triba,Nathali Stojilkovic,Nathalie Banzet,Roland Molinié,Romain Bott,Sophie Goulitquer,Stefano Caldarelli,Douglas N. Rutledge +37 more
TL;DR: In conclusion, untargeted metabolomics analyses report consistent information within and across instruments of various technologies, even without prior standardisation.