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Healthy Dietary Pattern is Associated with Lower Glycemia Independently of the Genetic Risk of Type 2 Diabetes: a Cross-sectional Study in Finnish Men

Overview
Journal Eur J Nutr
Date 2024 Jun 12
PMID 38864868
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Abstract

Purpose: Hyperglycemia is affected by lifestyle and genetic factors. We investigated if dietary patterns associate with glycemia in individuals with high or low genetic risk for type 2 diabetes (T2D).

Methods: Men (n = 1577, 51-81 years) without T2D from the Metabolic Syndrome in Men (METSIM) cohort filled a food-frequency questionnaire and participated in a 2-hour oral glucose tolerance test. Polygenetic risk score (PRS) including 76 genetic variants was used to stratify participants into low or high T2D risk groups. We established two data-driven dietary patterns, termed healthy and unhealthy, and investigated their association with plasma glucose concentrations and hyperglycemia risk.

Results: Healthy dietary pattern was associated with lower fasting and 2-hour plasma glucose, glucose area under the curve, and better insulin sensitivity (Matsuda insulin sensitivity index) and insulin secretion (disposition index) in unadjusted and adjusted models, whereas the unhealthy pattern was not. No interaction was observed between the patterns and PRS on glycemic measures. Healthy dietary pattern was negatively associated with the risk for hyperglycemia in an adjusted model (OR 0.69, 95% CI 0.51-0.95, in the highest tertile), whereas unhealthy pattern was not (OR 1.08, 95% CI 0.79-1.47, in the highest tertile). No interaction was found between diet and PRS on the risk for hyperglycemia (p = 0.69 for healthy diet, p = 0.54 for unhealthy diet).

Conclusion: Our findings suggest that healthy diet is associated with lower glucose concentrations and lower risk for hyperglycemia in men with no interaction with the genetic risk.

Citing Articles

Insulinemic potential of diet and the risk of type 2 diabetes: a meta-analysis and systematic review.

Farhadnejad H, Abbasi M, Ahmadirad H, Omrani M, Jahromi M, Norouzzadeh M Diabetol Metab Syndr. 2024; 16(1):246.

PMID: 39385247 PMC: 11465829. DOI: 10.1186/s13098-024-01474-x.

References
1.
Trichopoulou A, Kouris-Blazos A, Wahlqvist M, Gnardellis C, Lagiou P, Polychronopoulos E . Diet and overall survival in elderly people. BMJ. 1995; 311(7018):1457-60. PMC: 2543726. DOI: 10.1136/bmj.311.7018.1457. View

2.
McKeown N, Dashti H, Ma J, Haslam D, Kiefte-de Jong J, Smith C . Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia. 2017; 61(2):317-330. PMC: 5826559. DOI: 10.1007/s00125-017-4475-0. View

3.
Ericson U, Hindy G, Drake I, Schulz C, Brunkwall L, Hellstrand S . Dietary and genetic risk scores and incidence of type 2 diabetes. Genes Nutr. 2018; 13:13. PMC: 5956794. DOI: 10.1186/s12263-018-0599-1. View

4.
Eriksen R, Gibson R, Aresu M, Heard A, Chan Q, Evangelou E . Gene-diet quality interactions on haemoglobin A1c and type 2 diabetes risk: The Airwave Health Monitoring Study. Endocrinol Diabetes Metab. 2019; 2(4):e00074. PMC: 6775444. DOI: 10.1002/edm2.74. View

5.
Langenberg C, Sharp S, Franks P, Scott R, Deloukas P, Forouhi N . Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study. PLoS Med. 2014; 11(5):e1001647. PMC: 4028183. DOI: 10.1371/journal.pmed.1001647. View