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Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study.

Authors :
Eriksen R
Perez IG
Posma JM
Haid M
Sharma S
Prehn C
Thomas LE
Koivula RW
Bizzotto R
Prehn C
Mari A
Giordano GN
Pavo I
Schwenk JM
De Masi F
Tsirigos KD
Brunak S
Viñuela A
Mahajan A
McDonald TJ
Kokkola T
Rutter F
Teare H
Hansen TH
Fernandez J
Jones A
Jennison C
Walker M
McCarthy MI
Pedersen O
Ruetten H
Forgie I
Bell JD
Pearson ER
Franks PW
Adamski J
Holmes E
Frost G
Source :
EBioMedicine [EBioMedicine] 2020 Aug; Vol. 58, pp. 102932. Date of Electronic Publication: 2020 Aug 04.
Publication Year :
2020

Abstract

Background: Dietary advice remains the cornerstone of prevention and management of type 2 diabetes (T2D). However, understanding the efficacy of dietary interventions is confounded by the challenges inherent in assessing free living diet. Here we profiled dietary metabolites to investigate glycaemic deterioration and cardiometabolic risk in people at risk of or living with T2D.<br />Methods: We analysed data from plasma collected at baseline and 18-month follow-up in individuals from the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) cohort 1 n = 403 individuals with normal or impaired glucose regulation (prediabetic) and cohort 2 n = 458 individuals with new onset of T2D. A dietary metabolite profile model (T <subscript>pred</subscript> ) was constructed using multivariable regression of 113 plasma metabolites obtained from targeted metabolomics assays. The continuous T <subscript>pred</subscript> score was used to explore the relationships between diet, glycaemic deterioration and cardio-metabolic risk via multiple linear regression models.<br />Findings: A higher T <subscript>pred</subscript> score was associated with healthier diets high in wholegrain (β=3.36 g, 95% CI 0.31, 6.40 and β=2.82 g, 95% CI 0.06, 5.57) and lower energy intake (β=-75.53 kcal, 95% CI -144.71, -2.35 and β=-122.51 kcal, 95% CI -186.56, -38.46), and saturated fat (β=-0.92 g, 95% CI -1.56, -0.28 and β=-0.98 g, 95% CI -1.53, -0.42 g), respectively for cohort 1 and 2. In both cohorts a higher T <subscript>pred</subscript> score was also associated with lower total body adiposity and favourable lipid profiles HDL-cholesterol (β=0.07 mmol/L, 95% CI 0.03, 0.1), (β=0.08 mmol/L, 95% CI 0.04, 0.1), and triglycerides (β=-0.1 mmol/L, 95% CI -0.2, -0.03), (β=-0.2 mmol/L, 95% CI -0.3, -0.09), respectively for cohort 1 and 2. In cohort 2, the T <subscript>pred</subscript> score was negatively associated with liver fat (β=-0.74%, 95% CI -0.67, -0.81), and lower fasting concentrations of HbA1c (β=-0.9 mmol/mol, 95% CI -1.5, -0.1), glucose (β=-0.2 mmol/L, 95% CI -0.4, -0.05) and insulin (β=-11.0 pmol/mol, 95% CI -19.5, -2.6). Longitudinal analysis showed at 18-month follow up a higher T <subscript>pred</subscript> score was also associated lower total body adiposity in both cohorts and lower fasting glucose (β=-0.2 mmol/L, 95% CI -0.3, -0.01) and insulin (β=-9.2 pmol/mol, 95% CI -17.9, -0.4) concentrations in cohort 2.<br />Interpretation: Plasma dietary metabolite profiling provides objective measures of diet intake, showing a relationship to glycaemic deterioration and cardiometabolic health.<br />Funding: This work was supported by the Innovative Medicines Initiative Joint Undertaking under grant agreement no. 115,317 (DIRECT), resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies.<br /> (Crown Copyright © 2020. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
2352-3964
Volume :
58
Database :
MEDLINE
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
32763829
Full Text :
https://doi.org/10.1016/j.ebiom.2020.102932