Metabotyping for precision nutrition and weight management. Hype or hope?
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Metabotyping for precision nutrition and weight management. Hype or hope? / Pigsborg, Kristina; Magkos, Faidon.
In: Current Nutrition Reports, Vol. 11, No. 2, 2022, p. 117-123.Research output: Contribution to journal › Review › Research › peer-review
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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