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Improved weight management using genetic information to personalize a calorie controlled diet

BACKGROUND: Gene-environment studies demonstrate variability in nutrient requirements depending upon individual variations in genes affecting nutrient metabolism and transport. This study investigated whether the inclusion of genetic information to personalize a patient's diet (nutrigenetics) c...

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Autores principales: Arkadianos, Ioannis, Valdes, Ana M, Marinos, Efstathios, Florou, Anna, Gill, Rosalynn D, Grimaldi, Keith A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2151062/
https://www.ncbi.nlm.nih.gov/pubmed/17945020
http://dx.doi.org/10.1186/1475-2891-6-29
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author Arkadianos, Ioannis
Valdes, Ana M
Marinos, Efstathios
Florou, Anna
Gill, Rosalynn D
Grimaldi, Keith A
author_facet Arkadianos, Ioannis
Valdes, Ana M
Marinos, Efstathios
Florou, Anna
Gill, Rosalynn D
Grimaldi, Keith A
author_sort Arkadianos, Ioannis
collection PubMed
description BACKGROUND: Gene-environment studies demonstrate variability in nutrient requirements depending upon individual variations in genes affecting nutrient metabolism and transport. This study investigated whether the inclusion of genetic information to personalize a patient's diet (nutrigenetics) could improve long term weight management. METHODS: Patients with a history of failures at weight loss were offered a nutrigenetic test screening 24 variants in 19 genes involved in metabolism. 50 patients were in the nutrigenetic group and 43 patients attending the same clinic were selected for comparison using algorithms to match the characteristics: age, sex, frequency of clinical visits and BMI at initial clinic visit. The second group of 43 patients did not receive a nutrigenetic test. BMI reduction at 100 and > 300 days and blood fasting glucose were measured. RESULTS: After 300 days of follow-up individuals in the nutrigenetic group were more likely to have maintained some weight loss (73%) than those in the comparison group (32%), resulting in an age and gender adjusted OR of 5.74 (95% CI 1.74–22.52). Average BMI reduction in the nutrigenetic group was 1.93 kg/m(2)(5.6% loss) vs. an average BMI gain of 0.51 kg/m(2)(2.2% gain) (p < 0.023). Among patients with a starting blood fasting glucose of > 100 mg/dL, 57% (17/30) of the nutrigenetic group but only 25% (4/16) of the non-tested group had levels reduced to < 100 mg/dL after > 90 days of weight management therapy (OR for lowering glucose to < 100 mg/dL due to diet = 1.98 95%CI 1.01, 3.87, p < 0.046). CONCLUSION: Addition of nutrigenetically tailored diets resulted in better compliance, longer-term BMI reduction and improvements in blood glucose levels.
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spelling pubmed-21510622007-12-21 Improved weight management using genetic information to personalize a calorie controlled diet Arkadianos, Ioannis Valdes, Ana M Marinos, Efstathios Florou, Anna Gill, Rosalynn D Grimaldi, Keith A Nutr J Research BACKGROUND: Gene-environment studies demonstrate variability in nutrient requirements depending upon individual variations in genes affecting nutrient metabolism and transport. This study investigated whether the inclusion of genetic information to personalize a patient's diet (nutrigenetics) could improve long term weight management. METHODS: Patients with a history of failures at weight loss were offered a nutrigenetic test screening 24 variants in 19 genes involved in metabolism. 50 patients were in the nutrigenetic group and 43 patients attending the same clinic were selected for comparison using algorithms to match the characteristics: age, sex, frequency of clinical visits and BMI at initial clinic visit. The second group of 43 patients did not receive a nutrigenetic test. BMI reduction at 100 and > 300 days and blood fasting glucose were measured. RESULTS: After 300 days of follow-up individuals in the nutrigenetic group were more likely to have maintained some weight loss (73%) than those in the comparison group (32%), resulting in an age and gender adjusted OR of 5.74 (95% CI 1.74–22.52). Average BMI reduction in the nutrigenetic group was 1.93 kg/m(2)(5.6% loss) vs. an average BMI gain of 0.51 kg/m(2)(2.2% gain) (p < 0.023). Among patients with a starting blood fasting glucose of > 100 mg/dL, 57% (17/30) of the nutrigenetic group but only 25% (4/16) of the non-tested group had levels reduced to < 100 mg/dL after > 90 days of weight management therapy (OR for lowering glucose to < 100 mg/dL due to diet = 1.98 95%CI 1.01, 3.87, p < 0.046). CONCLUSION: Addition of nutrigenetically tailored diets resulted in better compliance, longer-term BMI reduction and improvements in blood glucose levels. BioMed Central 2007-10-18 /pmc/articles/PMC2151062/ /pubmed/17945020 http://dx.doi.org/10.1186/1475-2891-6-29 Text en Copyright © 2007 Arkadianos et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Arkadianos, Ioannis
Valdes, Ana M
Marinos, Efstathios
Florou, Anna
Gill, Rosalynn D
Grimaldi, Keith A
Improved weight management using genetic information to personalize a calorie controlled diet
title Improved weight management using genetic information to personalize a calorie controlled diet
title_full Improved weight management using genetic information to personalize a calorie controlled diet
title_fullStr Improved weight management using genetic information to personalize a calorie controlled diet
title_full_unstemmed Improved weight management using genetic information to personalize a calorie controlled diet
title_short Improved weight management using genetic information to personalize a calorie controlled diet
title_sort improved weight management using genetic information to personalize a calorie controlled diet
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2151062/
https://www.ncbi.nlm.nih.gov/pubmed/17945020
http://dx.doi.org/10.1186/1475-2891-6-29
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