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Genetic susceptibility to diabetes and long-term improvement of insulin resistance and β cell function during weight loss: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial.

The American journal of clinical nutrition
July 1, 2016
Tao Huang et al. (7 authors)
Journal ArticleRandomized Controlled TrialHuman StudyClinical
Study Details

Study Goal

The researchers aimed to determine whether the effects of a high-protein diet on insulin resistance and β cell function vary based on genetic susceptibility to diabetes.

Results Summary

The study found that individuals with a higher genetic risk of diabetes may benefit more from a high-protein diet in reducing fasting insulin, while those with lower genetic risk may benefit more from a low-protein diet for improving insulin resistance and β cell function.

Population

744 overweight or obese nondiabetic adults (80% white Americans).

Effective Dosage

Not specified

Duration

2 years

Interactions

None mentioned

Extracted Claims (5)
InterventionDirectionEndpointPopulationDosageImpactClaim #
low-protein weight-loss diet
decrease
fasting insulin
white Americans with a lower genetic risk score for diabetes
-
greater decrease
#1
low-protein weight-loss diet
decrease
glycated hemoglobin (HbA1c)
white Americans with a lower genetic risk score for diabetes
-
greater decrease
#2
low-protein weight-loss diet
decrease
homeostasis model assessment of insulin resistance (HOMA-IR)
white Americans with a lower genetic risk score for diabetes
-
greater decrease
#3
low-protein weight-loss diet
increase
homeostasis model assessment of β cell function (HOMA-B)
white Americans with a lower genetic risk score for diabetes
-
lesser increase
#4
high-protein diet
decrease
fasting insulin
white Americans with a higher genetic risk score for diabetes
-
greater reduction
#5
Abstract

BACKGROUND: Diet interventions have shown effectiveness in improving diabetes risk factors; however, little is known about whether the effects of diet intervention are different according to genetic susceptibility. OBJECTIVE: We examined interactions between weight-loss diets and the genetic risk score (GRS) for diabetes on 2-y changes in markers of insulin resistance and β cell function in a randomized controlled trial. DESIGN: Data from the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial were analyzed. A GRS was calculated on the basis of 31 diabetes-associated variants in 744 overweight or obese nondiabetic adults (80% white Americans). We assessed the changes in insulin resistance and β cell function over the 2-y intervention. RESULTS: Dietary protein significantly interacted with the diabetes GRS on fasting insulin, glycated hemoglobin (HbA1c), the homeostasis model assessment of β cell function (HOMA-B), and the homeostasis model assessment of insulin resistance (HOMA-IR) at 2 y in white Americans (P-interaction = 0.02, 0.04, 0.01, and 0.05, respectively). The lower GRS was associated with a greater decrease in fasting insulin (P = 0.04), HbA1c (P = 0.0001), and HOMA-IR (P = 0.02), and a lesser increase in HOMA-B (P = 0.004) in participants consuming a low-protein diet. Participants with a higher GRS might have a greater reduction in fasting insulin when consuming a high-protein diet (P = 0.03). CONCLUSIONS: Our data suggest that individuals with a lower genetic risk of diabetes may benefit more from consuming a low-protein weight-loss diet in improving insulin resistance and β cell function, whereas a high-protein diet may be more beneficial for white patients with a higher genetic risk. This trial was registered at clinicaltrials.gov as NCT00072995.

Medical Subject Headings (MeSH)
AdultBlood GlucoseDiabetes MellitusDiet, ReducingDietary ProteinsFastingFemaleGenetic Predisposition to DiseaseGenetic VariationGenotypeGlycated HemoglobinHumansInsulinInsulin ResistanceInsulin-Secreting CellsMaleMiddle AgedObesityOverweightWeight LossWhite People
Study Links
Quality Scores
SafetyNot Assessed
Efficacy75/10
Quality85/10
Citation Metrics
Total Citations29
Citations/Year3.2
Relative Citation Ratio1.12
NIH Percentile54.3%
Research Impact Scores
APT Score0.75
Weight Score1.99
Normalized Score0.67
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