A scheme for a flexible classification of dietary and health biomarkers

Qian Gao; Giulia Pratico; Augustin Scalbert; Guy Vergeres; Marjukka Kolehmainen; Claudine Manach; Lorraine Brennan; Lydia A Afman; David S Wishart; Cristina Andres-Lacueva; Mar Garcia-Aloy; Hans Verhagen; Edith F M Feskens; Lars Ove Dragsted

doi:10.1186/s12263-017-0587-x

A scheme for a flexible classification of dietary and health biomarkers

Qian Gao, Giulia Pratico, Augustin Scalbert, Guy Vergeres, Marjukka Kolehmainen, Claudine Manach, Lorraine Brennan, Lydia A Afman, David S Wishart, Cristina Andres-Lacueva, Mar Garcia-Aloy, Hans Verhagen, Edith F M Feskens, Lars Ove Dragsted

34 Citations (Scopus)

74 Downloads (Pure)

Abstract

Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid development
and new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about their
application. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for the
field. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.

Original language	English
Article number	34
Journal	Genes & Nutrition
Volume	12
Number of pages	15
ISSN	1555-8932
DOIs	https://doi.org/10.1186/s12263-017-0587-x
Publication status	Published - 12 Dec 2017

Keywords

Faculty of Science
Biomarker
Classification
Nutrition
Ontology
Exposure
Effect
Susceptibility
Metabolomics
Review

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Gao et al_Genes & Nutrition_2017_Vol 12_34Final published version, 1.35 MBLicence: CC BY

Cite this

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title = "A scheme for a flexible classification of dietary and health biomarkers",

abstract = "Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid developmentand new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about theirapplication. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for thefield. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.",

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AU - Gao, Qian

AU - Pratico, Giulia

AU - Scalbert, Augustin

AU - Vergeres, Guy

AU - Kolehmainen, Marjukka

AU - Manach, Claudine

AU - Brennan, Lorraine

AU - Afman, Lydia A

AU - Wishart, David S

AU - Andres-Lacueva, Cristina

AU - Garcia-Aloy, Mar

AU - Verhagen, Hans

AU - Feskens, Edith F M

AU - Dragsted, Lars Ove

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N2 - Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid developmentand new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about theirapplication. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for thefield. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.

AB - Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid developmentand new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about theirapplication. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for thefield. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.

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KW - Classification

KW - Nutrition

KW - Ontology

KW - Exposure

KW - Effect

KW - Susceptibility

KW - Metabolomics

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ER -

A scheme for a flexible classification of dietary and health biomarkers

Abstract

Keywords

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