Cargando…
Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406914/ https://www.ncbi.nlm.nih.gov/pubmed/32763829 http://dx.doi.org/10.1016/j.ebiom.2020.102932 |
_version_ | 1783567512346034176 |
---|---|
author | Eriksen, Rebeca Perez, Isabel Garcia Posma, Joram M. Haid, Mark Sharma, Sapna Prehn, Cornelia Thomas, Louise E. Koivula, Robert W. Bizzotto, Roberto Prehn, Cornelia Mari, Andrea Giordano, Giuseppe N. Pavo, Imre Schwenk, Jochen M. De Masi, Federico Tsirigos, Konstantinos D. Brunak, Søren Viñuela, Ana Mahajan, Anubha McDonald, Timothy J. Kokkola, Tarja Rutter, Femke Teare, Harriet Hansen, Tue H. Fernandez, Juan Jones, Angus Jennison, Chris Walker, Mark McCarthy, Mark I. Pedersen, Oluf Ruetten, Hartmut Forgie, Ian Bell, Jimmy D. Pearson, Ewan R. Franks, Paul W. Adamski, Jerzy Holmes, Elaine Frost, Gary |
author_facet | Eriksen, Rebeca Perez, Isabel Garcia Posma, Joram M. Haid, Mark Sharma, Sapna Prehn, Cornelia Thomas, Louise E. Koivula, Robert W. Bizzotto, Roberto Prehn, Cornelia Mari, Andrea Giordano, Giuseppe N. Pavo, Imre Schwenk, Jochen M. De Masi, Federico Tsirigos, Konstantinos D. Brunak, Søren Viñuela, Ana Mahajan, Anubha McDonald, Timothy J. Kokkola, Tarja Rutter, Femke Teare, Harriet Hansen, Tue H. Fernandez, Juan Jones, Angus Jennison, Chris Walker, Mark McCarthy, Mark I. Pedersen, Oluf Ruetten, Hartmut Forgie, Ian Bell, Jimmy D. Pearson, Ewan R. Franks, Paul W. Adamski, Jerzy Holmes, Elaine Frost, Gary |
author_sort | Eriksen, Rebeca |
collection | PubMed |
description | 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 (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(pred) 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(pred) 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(pred) 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. 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. |
format | Online Article Text |
id | pubmed-7406914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74069142020-08-12 Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study Eriksen, Rebeca Perez, Isabel Garcia Posma, Joram M. Haid, Mark Sharma, Sapna Prehn, Cornelia Thomas, Louise E. Koivula, Robert W. Bizzotto, Roberto Prehn, Cornelia Mari, Andrea Giordano, Giuseppe N. Pavo, Imre Schwenk, Jochen M. De Masi, Federico Tsirigos, Konstantinos D. Brunak, Søren Viñuela, Ana Mahajan, Anubha McDonald, Timothy J. Kokkola, Tarja Rutter, Femke Teare, Harriet Hansen, Tue H. Fernandez, Juan Jones, Angus Jennison, Chris Walker, Mark McCarthy, Mark I. Pedersen, Oluf Ruetten, Hartmut Forgie, Ian Bell, Jimmy D. Pearson, Ewan R. Franks, Paul W. Adamski, Jerzy Holmes, Elaine Frost, Gary EBioMedicine Research paper 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 (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(pred) 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(pred) 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(pred) 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. 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. Elsevier 2020-08-04 /pmc/articles/PMC7406914/ /pubmed/32763829 http://dx.doi.org/10.1016/j.ebiom.2020.102932 Text en Crown Copyright © 2020 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Eriksen, Rebeca Perez, Isabel Garcia Posma, Joram M. Haid, Mark Sharma, Sapna Prehn, Cornelia Thomas, Louise E. Koivula, Robert W. Bizzotto, Roberto Prehn, Cornelia Mari, Andrea Giordano, Giuseppe N. Pavo, Imre Schwenk, Jochen M. De Masi, Federico Tsirigos, Konstantinos D. Brunak, Søren Viñuela, Ana Mahajan, Anubha McDonald, Timothy J. Kokkola, Tarja Rutter, Femke Teare, Harriet Hansen, Tue H. Fernandez, Juan Jones, Angus Jennison, Chris Walker, Mark McCarthy, Mark I. Pedersen, Oluf Ruetten, Hartmut Forgie, Ian Bell, Jimmy D. Pearson, Ewan R. Franks, Paul W. Adamski, Jerzy Holmes, Elaine Frost, Gary Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title | Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title_full | Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title_fullStr | Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title_full_unstemmed | Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title_short | Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study |
title_sort | dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: an imi direct study |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406914/ https://www.ncbi.nlm.nih.gov/pubmed/32763829 http://dx.doi.org/10.1016/j.ebiom.2020.102932 |
work_keys_str_mv | AT eriksenrebeca dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT perezisabelgarcia dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT posmajoramm dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT haidmark dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT sharmasapna dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT prehncornelia dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT thomaslouisee dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT koivularobertw dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT bizzottoroberto dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT prehncornelia dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT mariandrea dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT giordanogiuseppen dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT pavoimre dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT schwenkjochenm dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT demasifederico dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT tsirigoskonstantinosd dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT brunaksøren dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT vinuelaana dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT mahajananubha dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT mcdonaldtimothyj dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT kokkolatarja dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT rutterfemke dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT teareharriet dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT hansentueh dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT fernandezjuan dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT jonesangus dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT jennisonchris dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT walkermark dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT mccarthymarki dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT pedersenoluf dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT ruettenhartmut dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT forgieian dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT belljimmyd dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT pearsonewanr dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT frankspaulw dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT adamskijerzy dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT holmeselaine dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy AT frostgary dietarymetaboliteprofilingbringsnewinsightintotherelationshipbetweennutritionandmetabolicriskanimidirectstudy |