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

被引:6
作者
Eriksen, Rebeca [1 ]
Perez, Isabel Garcia [1 ]
Posma, Joram M. [2 ,21 ]
Haid, Mark [17 ]
Sharma, Sapna [12 ,27 ]
Prehn, Cornelia [17 ]
Thomas, Louise E. [9 ]
Koivula, Robert W. [3 ,5 ]
Bizzotto, Roberto [4 ]
Mari, Andrea [4 ]
Giordano, Giuseppe N. [3 ]
Pavo, Imre [18 ]
Schwenk, Jochen M. [20 ]
Masi, Federico De [10 ]
Tsirigos, Konstantinos D. [10 ]
Brunak, Soren [26 ]
Vinuela, Ana [7 ]
Mahajan, Anubha [14 ]
McDonald, Timothy J. [11 ]
Kokkola, Tarja [15 ,16 ]
Rutter, Femke [28 ]
Teare, Harriet [14 ]
Hansen, Tue H. [13 ]
Fernandez, Juan [14 ]
Jones, Angus [11 ]
Jennison, Chris [22 ]
Walker, Mark [8 ]
McCarthy, Mark I. [5 ,14 ]
Pedersen, Oluf [13 ]
Ruetten, Hartmut [6 ,19 ]
Forgie, Ian [6 ]
Bell, Jimmy D. [9 ]
Pearson, Ewan R. [6 ]
Franks, Paul W. [3 ]
Adamski, Jerzy [17 ,24 ,25 ]
Holmes, Elaine [1 ]
Frost, Gary [1 ,23 ]
机构
[1] Imperial Coll London, Fac Med, Dept Metab Digest & Reprod, Sect Nutr Res,Div Digest Dis, London W12 0NN, England
[2] Imperial Coll, Dept Metab Digest & Reprod, Div Syst Med, Sect Bioinformat, London, England
[3] Skane Univ, Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit,Lund Univ Diabet Ctr, Malmo, Sweden
[4] CNR, Inst Neurosci, Padua, Italy
[5] Univ Oxford, Radcliffe Dept Med, Oxford Ctr Diabet Endocrinol & Metab, Oxford, England
[6] Univ Dundee, Sch Med, Populat Hlth & Genom, Dundee, Scotland
[7] Univ Geneva, Med Sch, Dept Genet Med & Dev, Geneva, Switzerland
[8] Newcastle Univ, Inst Cellular Med Diabet, Newcastle Upon Tyne, Tyne & Wear, England
[9] Univ Westminster, Sch Life Sci, Res Ctr Optimal Hlth, London, England
[10] Univ Copenhagen, Kgs Lyngby & Novo Nordisk Fdn Ctr Prot Res, Tech Univ Denmark, Dept Hlth Technol, Copenhagen, Denmark
[11] Univ Exeter, UK NIHR Exeter Clin Res Facil, Med Sch, Exeter, Devon, England
[12] German Ctr Diabet Res DZD, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany
[13] Univ Copenhagen, Fac Hlth & Med Sci, Novo Nordisk Fdn Ctr Basic Metab Res, Copenhagen, Denmark
[14] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
[15] Univ Eastern Finland, Dept Med, Kuopio, Finland
[16] Kuopio Univ Hosp, Kuopio, Finland
[17] German Res Ctr Environem Hlth GmbH, Helmholtz Zentrum Muenchen, Res Unit Mol Endocrinol & Metab, Neuherberg, Germany
[18] Eli Lilly Reg Operat GmbH, Vienna, Austria
[19] Sanofi Aventis Deutschland GmbH, R&D, Frankfurt, Germany
[20] KTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, Stockholm, Sweden
[21] Hlth Data Res UK, London, England
[22] Univ Bath, Dept Math Sci, Bath, Avon, England
[23] Churchill Hosp, NIHR Oxford Biomed Res Ctr, Oxford, England
[24] Tech Univ Munich, Lehrstuhl Expt Genet, D-85350 Freising Weihenstephan, Germany
[25] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Biochem, 8 Med Dr, Singapore 117597, Singapore
[26] Univ Copenhagen, Novo Nordisk Fdn Ctr Prot Res, DK-2200 Copenhagen, Denmark
[27] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Epidemiol, Neuherberg, Bavaria, Germany
[28] Amsterdam UMC, Amsterdam Publ Hlth Inst, Dept Epidemiol & Biostat, Locat VUMC, Amsterdam, Netherlands
基金
英国惠康基金; 瑞典研究理事会; 英国医学研究理事会;
关键词
Metabolic profiling; Dietary patterns; Type; 2; diabetes; Cardiometabolic health; CARDIOVASCULAR-DISEASE PREVENTION; MICROBIOTA METABOLISM; MEDITERRANEAN DIET; GUT MICROBIOTA; L-CARNITINE; PATTERNS; BIOMARKERS; HEALTH; ACYLCARNITINES; GUIDELINES;
D O I
10.1016/j.ebiom.2020.102932
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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. 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-pred) was constructed using multivariable regression of 113 plasma metabolites obtained from targeted metabolomics assays. The continuous T-pred score was used to explore the relationships between diet, glycaemic deterioration and cardio-metabolic risk via multiple linear regression models. Findings: A higher T-pred score was associated with healthier diets high in wholegrain (beta=3.36 g, 95% CI 0.31, 6.40 and beta=2.82 g, 95% CI 0.06, 5.57) and lower energy intake (beta=-75.53 kcal, 95% CI -144.71, -2.35 and beta=-122.51 kcal, 95% CI -186.56, -38.46), and saturated fat (beta=-0.92 g, 95% CI -1.56, -0.28 and beta=-0.98 g, 95% CI -1.53, -0.42 g), respectively for cohort 1 and 2. In both cohorts a higher T-pred score was also associated with lower total body adiposity and favourable lipid profiles HDL-cholesterol (beta=0.07 mmol/L, 95% CI 0.03, 0.1), (beta=0.08 mmol/L, 95% CI 0.04, 0.1), and triglycerides (beta=-0.1 mmol/L, 95% CI -0.2, -0.03), (beta=-0.2 mmol/L, 95% CI -0.3, -0.09), respectively for cohort 1 and 2. In cohort 2, the T-pred score was negatively associated with liver fat (beta=-0.74%, 95% CI -0.67, -0.81), and lower fasting concentrations of HbA1c (beta=-0.9 mmol/mol, 95% CI -1.5, -0.1), glucose (beta=-0.2 mmol/L, 95% CI -0.4, -0.05) and insulin (beta=-11.0 pmol/mol, 95% CI -19.5, -2.6). Longitudinal analysis showed at 18-month follow up a higher T-pred score was also associated lower total body adiposity in both cohorts and lower fasting glucose (beta=-0.2 mmol/L, 95% CI -0.3, -0.01) and insulin (beta=-9.2 pmol/mol, 95% CI -17.9, -0.4) concentrations in cohort 2. Interpretation: Plasma dietary metabolite profiling provides objective measures of diet intake, showing a relationship to glycaemic deterioration and cardiometabolic health. 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. Crown Copyright (c) 2020 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页数:9
相关论文
共 41 条
[1]   Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies [J].
Akbaraly, Tasnime ;
Wurtz, Peter ;
Singh-Manoux, Archana ;
Shipley, Martin J. ;
Haapakoski, Rita ;
Lehto, Maili ;
Desrumaux, Catherine ;
Kahonen, Mika ;
Lehtimaki, Terho ;
Mikkila, Vera ;
Hingorani, Aroon ;
Humphries, Steve E. ;
Kangas, Antti J. ;
Soininen, Pasi ;
Raitakari, Olli ;
Ala-Korpela, Mika ;
Kivimaki, Mika .
SCIENTIFIC REPORTS, 2018, 8
[2]  
[Anonymous], 2019, SHENZHEN STAT YB
[3]  
Bizzotto R, 2019, DIABETOLOGIA, V233
[4]  
Blanchette Jude, 2003, The Reimportation Controversy
[5]  
Committee on Medical Aspects of Food Policy, 1994, NUTR ASPECTS CARDIOV
[6]  
Coulston AM, 2008, NUTR PREVENTION TREA
[7]   Mediterranean Diet and Weight Loss: Meta-Analysis of Randomized Controlled Trials [J].
Esposito, Katherine ;
Kastorini, Christina-Maria ;
Panagiotakos, Demosthenes B. ;
Giugliano, Dario .
METABOLIC SYNDROME AND RELATED DISORDERS, 2011, 9 (01) :1-12
[8]   Objective assessment of dietary patterns by use of metabolic phenotyping: a randomised, controlled, crossover trial [J].
Garcia-Perez, Isabel ;
Posma, Joram M. ;
Gibson, Rachel ;
Chambers, Edward S. ;
Hansen, Tue H. ;
Vestergaard, Henrik ;
Hansen, Torben ;
Beckmann, Manfred ;
Pedersen, Oluf ;
Elliott, Paul ;
Stamler, Jeremiah ;
Nicholson, Jeremy K. ;
Draper, John ;
Mathers, John C. ;
Holmes, Elaine ;
Frost, Gary .
LANCET DIABETES & ENDOCRINOLOGY, 2017, 5 (03) :184-195
[9]  
Garriguet Didier, 2008, Health Rep, V19, P47
[10]  
Gessner A, 2020, TRIMETHYLAMINE N OXI