Metabotyping for precision nutrition and weight management. Hype or hope?

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Standard

Metabotyping for precision nutrition and weight management. Hype or hope? / Pigsborg, Kristina; Magkos, Faidon.

I: Current Nutrition Reports, Bind 11, Nr. 2, 2022, s. 117-123.

Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

Harvard

Pigsborg, K & Magkos, F 2022, 'Metabotyping for precision nutrition and weight management. Hype or hope?', Current Nutrition Reports, bind 11, nr. 2, s. 117-123. https://doi.org/10.1007/s13668-021-00392-y

APA

Pigsborg, K., & Magkos, F. (2022). Metabotyping for precision nutrition and weight management. Hype or hope? Current Nutrition Reports, 11(2), 117-123. https://doi.org/10.1007/s13668-021-00392-y

Vancouver

Pigsborg K, Magkos F. Metabotyping for precision nutrition and weight management. Hype or hope? Current Nutrition Reports. 2022;11(2):117-123. https://doi.org/10.1007/s13668-021-00392-y

Author

Pigsborg, Kristina ; Magkos, Faidon. / Metabotyping for precision nutrition and weight management. Hype or hope?. I: Current Nutrition Reports. 2022 ; Bind 11, Nr. 2. s. 117-123.

Bibtex

@article{675e37f2e7fd42cd9cb6187d94b5c902,
title = "Metabotyping for precision nutrition and weight management. Hype or hope?",
abstract = "Purpose of review: Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment.Recent findings: Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Summary: Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.",
keywords = "Faculty of Science, Personalized nutrition, Precision nutrition, Obesity, Metabolomics, Weight management",
author = "Kristina Pigsborg and Faidon Magkos",
note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.",
year = "2022",
doi = "10.1007/s13668-021-00392-y",
language = "English",
volume = "11",
pages = "117--123",
journal = "Current Nutrition Reports",
issn = "2161-3311",
publisher = "Springer Healthcare",
number = "2",

}

RIS

TY - JOUR

T1 - Metabotyping for precision nutrition and weight management. Hype or hope?

AU - Pigsborg, Kristina

AU - Magkos, Faidon

N1 - © 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

PY - 2022

Y1 - 2022

N2 - Purpose of review: Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment.Recent findings: Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Summary: Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.

AB - Purpose of review: Precision nutrition requires a solid understanding of the factors that determine individual responses to dietary treatment. We review the current state of knowledge in identifying human metabotypes - based on circulating biomarkers - that can predict weight loss or other relevant physiological outcomes in response to diet treatment.Recent findings: Not many studies have been conducted in this area and the ones identified here are heterogeneous in design and methodology, and therefore difficult to synthesize and draw conclusions. The basis of the creation of metabotypes varies widely, from using thresholds for a single metabolite to using complex algorithms to generate multi-component constructs that include metabolite and genetic information. Furthermore, available studies are a mix of hypothesis-driven and hypothesis-generating studies, and most of them lack experimental testing in human trials. Summary: Although this field of research is still in its infancy, precision-based dietary intervention strategies focusing on the metabotype group level hold promise for designing more effective dietary treatments for obesity.

KW - Faculty of Science

KW - Personalized nutrition

KW - Precision nutrition

KW - Obesity

KW - Metabolomics

KW - Weight management

U2 - 10.1007/s13668-021-00392-y

DO - 10.1007/s13668-021-00392-y

M3 - Review

C2 - 35025088

VL - 11

SP - 117

EP - 123

JO - Current Nutrition Reports

JF - Current Nutrition Reports

SN - 2161-3311

IS - 2

ER -

ID: 289454306