TY - JOUR
T1 - A double-blinded, randomized, parallel intervention to evaluate biomarker-based nutrition plans for weight loss: The PREVENTOMICS study
AU - Aldubayan, Mona A
AU - Pigsborg, Kristina
AU - Gormsen, Sophia M O
AU - Serra, Francisca
AU - Palou, Mariona
AU - Galmés, Sebastià
AU - Palou-March, Andreu
AU - Favari, Claudia
AU - Wetzels, Mart
AU - Calleja, Alberto
AU - Rodríguez Gómez, Miguel Angel
AU - Castellnou, María Guirro
AU - Caimari, Antoni
AU - Galofré, Mar
AU - Suñol, David
AU - Escoté, Xavier
AU - Alcaide-Hidalgo, Juan María
AU - M Del Bas, Josep
AU - Gutierrez, Biotza
AU - Krarup, Thure
AU - Hjorth, Mads Fiil
AU - Magkos, Faidon
N1 - Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Background & aims: Growing evidence suggests that biomarker-guided dietary interventions can optimize response to treatment. In this study, we evaluated the efficacy of the PREVENTOMCIS platform - which uses metabolomic and genetic information to classify individuals into different 'metabolic clusters' and create personalized dietary plans-for improving health outcomes in subjects with overweight or obesity.Methods: A 10-week parallel, double-blinded, randomized intervention was conducted in 100 adults (82 completers) aged 18-65 years, with body mass index ≥27 but <40 kg/m2, who were allocated into either a personalized diet group (n = 49) or a control diet group (n = 51). About 60% of all food was provided free-of-charge. No specific instruction to restrict energy intake was given. The primary outcome was change in fat mass from baseline, evaluated by dual energy X-ray absorptiometry. Other endpoints included body weight, waist circumference, lipid profile, glucose homeostasis markers, inflammatory markers, blood pressure, physical activity, stress and eating behavior.Results: There were significant main effects of time (P < 0.01), but no group main effects, or time-by-group interactions, for the change in fat mass (personalized: -2.1 [95% CI -2.9, -1.4] kg; control: -2.0 [95% CI -2.7, -1.3] kg) and body weight (personalized: -3.1 [95% CI -4.1, -2.1] kg; control: -3.3 [95% CI -4.2, -2.4] kg). The difference between groups in fat mass change was -0.1 kg (95% CI -1.2, 0.9 kg, P = 0.77). Both diets resulted in significant improvements in insulin resistance and lipid profile, but there were no significant differences between groups.Conclusion: Personalized dietary plans did not result in greater benefits over a generic, but generally healthy diet, in this 10-week clinical trial. Further studies are required to establish the soundness of different precision nutrition approaches, and translate this science into clinically relevant dietary advice to reduce the burden of obesity and its comorbidities.Clinical trial registry: ClinicalTrials.gov registry (NCT04590989).
AB - Background & aims: Growing evidence suggests that biomarker-guided dietary interventions can optimize response to treatment. In this study, we evaluated the efficacy of the PREVENTOMCIS platform - which uses metabolomic and genetic information to classify individuals into different 'metabolic clusters' and create personalized dietary plans-for improving health outcomes in subjects with overweight or obesity.Methods: A 10-week parallel, double-blinded, randomized intervention was conducted in 100 adults (82 completers) aged 18-65 years, with body mass index ≥27 but <40 kg/m2, who were allocated into either a personalized diet group (n = 49) or a control diet group (n = 51). About 60% of all food was provided free-of-charge. No specific instruction to restrict energy intake was given. The primary outcome was change in fat mass from baseline, evaluated by dual energy X-ray absorptiometry. Other endpoints included body weight, waist circumference, lipid profile, glucose homeostasis markers, inflammatory markers, blood pressure, physical activity, stress and eating behavior.Results: There were significant main effects of time (P < 0.01), but no group main effects, or time-by-group interactions, for the change in fat mass (personalized: -2.1 [95% CI -2.9, -1.4] kg; control: -2.0 [95% CI -2.7, -1.3] kg) and body weight (personalized: -3.1 [95% CI -4.1, -2.1] kg; control: -3.3 [95% CI -4.2, -2.4] kg). The difference between groups in fat mass change was -0.1 kg (95% CI -1.2, 0.9 kg, P = 0.77). Both diets resulted in significant improvements in insulin resistance and lipid profile, but there were no significant differences between groups.Conclusion: Personalized dietary plans did not result in greater benefits over a generic, but generally healthy diet, in this 10-week clinical trial. Further studies are required to establish the soundness of different precision nutrition approaches, and translate this science into clinically relevant dietary advice to reduce the burden of obesity and its comorbidities.Clinical trial registry: ClinicalTrials.gov registry (NCT04590989).
KW - Faculty of Science
KW - Personalized nutrition
KW - Precision nutrition
KW - Nutrigenetics
KW - Metabolomics
KW - Obesity
KW - Weight management
KW - Health-biomarkers
U2 - 10.1016/j.clnu.2022.06.032
DO - 10.1016/j.clnu.2022.06.032
M3 - Journal article
C2 - 35839545
VL - 41
SP - 1834
EP - 1844
JO - Clinical Nutrition
JF - Clinical Nutrition
SN - 0261-5614
IS - 8
ER -