A scheme for a flexible classification of dietary and health biomarkers

Research output: Contribution to journalReviewResearchpeer-review

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A scheme for a flexible classification of dietary and health biomarkers. / Gao, Qian; Pratico, Giulia; Scalbert, Augustin; Vergeres, Guy; Kolehmainen, Marjukka; Manach, Claudine; Brennan, Lorraine; Afman, Lydia A; Wishart, David S; Andres-Lacueva, Cristina; Garcia-Aloy, Mar; Verhagen, Hans; Feskens, Edith F M; Dragsted, Lars Ove.

In: Genes & Nutrition, Vol. 12, 34, 2017.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Gao, Q, Pratico, G, Scalbert, A, Vergeres, G, Kolehmainen, M, Manach, C, Brennan, L, Afman, LA, Wishart, DS, Andres-Lacueva, C, Garcia-Aloy, M, Verhagen, H, Feskens, EFM & Dragsted, LO 2017, 'A scheme for a flexible classification of dietary and health biomarkers', Genes & Nutrition, vol. 12, 34. https://doi.org/10.1186/s12263-017-0587-x

APA

Gao, Q., Pratico, G., Scalbert, A., Vergeres, G., Kolehmainen, M., Manach, C., Brennan, L., Afman, L. A., Wishart, D. S., Andres-Lacueva, C., Garcia-Aloy, M., Verhagen, H., Feskens, E. F. M., & Dragsted, L. O. (2017). A scheme for a flexible classification of dietary and health biomarkers. Genes & Nutrition, 12, [34]. https://doi.org/10.1186/s12263-017-0587-x

Vancouver

Gao Q, Pratico G, Scalbert A, Vergeres G, Kolehmainen M, Manach C et al. A scheme for a flexible classification of dietary and health biomarkers. Genes & Nutrition. 2017;12. 34. https://doi.org/10.1186/s12263-017-0587-x

Author

Gao, Qian ; Pratico, Giulia ; Scalbert, Augustin ; Vergeres, Guy ; Kolehmainen, Marjukka ; Manach, Claudine ; Brennan, Lorraine ; Afman, Lydia A ; Wishart, David S ; Andres-Lacueva, Cristina ; Garcia-Aloy, Mar ; Verhagen, Hans ; Feskens, Edith F M ; Dragsted, Lars Ove. / A scheme for a flexible classification of dietary and health biomarkers. In: Genes & Nutrition. 2017 ; Vol. 12.

Bibtex

@article{b837fdf062934d17b1e86043d482583d,
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.",
keywords = "Faculty of Science, Biomarker, Classification, Nutrition, Ontology, Exposure, Effect, Susceptibility, Metabolomics, Review",
author = "Qian Gao and Giulia Pratico and Augustin Scalbert and Guy Vergeres and Marjukka Kolehmainen and Claudine Manach and Lorraine Brennan and Afman, {Lydia A} and Wishart, {David S} and Cristina Andres-Lacueva and Mar Garcia-Aloy and Hans Verhagen and Feskens, {Edith F M} and Dragsted, {Lars Ove}",
note = "CURIS 2017 NEXS 347",
year = "2017",
doi = "10.1186/s12263-017-0587-x",
language = "English",
volume = "12",
journal = "Genes & Nutrition",
issn = "1555-8932",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - A scheme for a flexible classification of dietary and health biomarkers

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

N1 - CURIS 2017 NEXS 347

PY - 2017

Y1 - 2017

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.

KW - Faculty of Science

KW - Biomarker

KW - Classification

KW - Nutrition

KW - Ontology

KW - Exposure

KW - Effect

KW - Susceptibility

KW - Metabolomics

KW - Review

U2 - 10.1186/s12263-017-0587-x

DO - 10.1186/s12263-017-0587-x

M3 - Review

C2 - 29255495

VL - 12

JO - Genes & Nutrition

JF - Genes & Nutrition

SN - 1555-8932

M1 - 34

ER -

ID: 186705601