The metabolic signature associated with the Western dietary pattern: a cross-sectional study

Bouchard-Mercier, Annie; Rudkowska, Iwona; Lemieux, Simone; Couture, Patrick; Vohl, Marie‐Claude

doi:10.1186/1475-2891-12-158

Cited by 89 publications

(82 citation statements)

References 32 publications

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“…Furthermore, the impact of the HSu diet on leptin serum levels and on leptin receptor expression would be of interest. Overall, our study shows that nine week of HSu-diet, which mimics at least in part Western diets [10,11,47], can lead to impaired hepatic glucose and lipid metabolism, typical features of T2DM, already present in this prediabetic model, even in the absence of obesity. This animal model of diet-induced prediabetes shows reduced glucose tolerance, postprandial hyperglycemia, hyperinsulinemia, reduced insulin sensitivity (resistance), and hypertriglyceridemia, together with impaired gluconeogenesis and lipogenesis ( Figure 8).…”

Section: Discussionmentioning

confidence: 99%

Glucose and Lipid Dysmetabolism in a Rat Model of Prediabetes Induced by a High-Sucrose Diet

Burgeiro¹,

Cerqueira²,

Varela-Rodríguez³

et al. 2017

Preprint

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Glucotoxicity and lipotoxicity are key features of type 2 diabetes mellitus, but their molecular nature during the early stages of the disease remains to be elucidated. We aimed to characterize glucose and lipid metabolism in insulin-target organs (liver, skeletal muscle, and white adipose tissue) in a rat model treated with a high-sucrose (HSu) diet. Two groups of 16-week-old male Wistar rats underwent a 9-week protocol: HSu diet (n = 10)-received 35% of sucrose in drinking water; Control (n = 12)-received vehicle (water). Body weight, food, and beverage consumption were monitored and glucose, insulin, and lipid profiles were measured. Serum and liver triglyceride concentrations, as well as the expression of genes and proteins involved in lipid biosynthesis were assessed. The insulin-stimulated glucose uptake and isoproterenol-stimulated lipolysis were also measured in freshly isolated adipocytes. Even in the absence of obesity, this rat model already presented the main features of prediabetes, with fasting normoglycemia but reduced glucose tolerance, postprandial hyperglycemia, compensatory hyperinsulinemia, as well as decreased insulin sensitivity (resistance) and hypertriglyceridemia. In addition, impaired hepatic function, including altered gluconeogenic and lipogenic pathways, as well as increased expression of acetyl-coenzyme A carboxylase 1 and fatty acid synthase in the liver, were observed, suggesting that liver glucose and lipid dysmetabolism may play a major role at this stage of the disease.

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Section: Discussionmentioning

confidence: 99%

Glucose and Lipid Dysmetabolism in a Rat Model of Prediabetes Induced by a High-Sucrose Diet

Burgeiro¹,

Cerqueira²,

Varela-Rodríguez³

et al. 2017

Preprint

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“…The dietary biomarker classification (i.e., recovery, concentration, replacement, or predictive biomarkers) would depend on the metabolite properties (29,67,73). Previous epidemiologic studies have identified metabolite profiles of predominantly data-driven (3,(74)(75)(76), or geography-defined dietary patterns (77,78). Some predefined dietary patterns have been explored for their effects on metabolite concentrations.…”

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confidence: 99%

Identifying biomarkers of dietary patterns by using metabolomics

Playdon

Moore

Derkach

et al. 2017

The American Journal of Clinical Nutrition

184

140

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Background: Healthy dietary patterns that conform to national dietary guidelines are related to lower chronic disease incidence and longer life span. However, the precise mechanisms involved are unclear. Identifying biomarkers of dietary patterns may provide tools to validate diet quality measurement and determine underlying metabolic pathways influenced by diet quality. Objective: The objective of this study was to examine the correlation of 4 diet quality indexes [the Healthy Eating Index (HEI) 2010, the Alternate Mediterranean Diet Score (aMED), the WHO Healthy Diet Indicator (HDI), and the Baltic Sea Diet (BSD)] with serum metabolites. Design: We evaluated dietary patterns and metabolites in male Finnish smokers (n = 1336) from 5 nested case-control studies within the AlphaTocopherol, Beta-Carotene Cancer Prevention Study cohort. Participants completed a validated food-frequency questionnaire and provided a fasting serum sample before study randomization (1985)(1986)(1987)(1988). Metabolites were measured with the use of mass spectrometry. We analyzed cross-sectional partial correlations of 1316 metabolites with 4 diet quality indexes, adjusting for age, body mass index, smoking, energy intake, education, and physical activity. We pooled estimates across studies with the use of fixed-effects meta-analysis with Bonferroni correction for multiple comparisons, and conducted metabolic pathway analyses. Results: The HEI-2010, aMED, HDI, and BSD were associated with 23, 46, 23, and 33 metabolites, respectively (17, 21, 11, and 10 metabolites, respectively, were chemically identified; r-range: 20.30 to 0.20; P = 6 3 10 215 to 8 3 10 26 ). Food-based diet indexes (HEI-2010, aMED, and BSD) were associated with metabolites correlated with most components used to score adherence (e.g., fruit, vegetables, whole grains, fish, and unsaturated fat). HDI correlated with metabolites related to polyunsaturated fat and fiber components, but not other macro-or micronutrients (e.g., percentages of protein and cholesterol). The lysolipid and food and plant xenobiotic pathways were most strongly associated with diet quality.Conclusions: Diet quality, measured by healthy diet indexes, is associated with serum metabolites, with the specific metabolite profile of each diet index related to the diet components used to score adherence. This trial was registered at clinicaltrials.gov as NCT00342992. Am J Clin Nutr 2017;105:450-65.

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“…Food metabolome, i.e., the sum of all metabolites that are derived from the digestion and biotransformation of food components [114], enables the use of a combination of biomarkers to assess exposure to dietary components [115], food groups [116], [117], or even dietary patterns with high specificity [118], [119]. More importantly, the largely unexploited food metabolome will also certainly lead to the discovery of novel biomarkers for dietary exposure and/or diet-disease relationships with a high level of detail and precision [114].…”

Section: Methodologies To Assess Energy Intake and Appetite-related Pmentioning

confidence: 99%

Analysis of energy metabolism in humans: A review of methodologies

Lam

Ravussin

2016

Molecular Metabolism

112

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BackgroundObesity is a consequence of chronic energy imbalance. We need accurate and precise measurements of energy intake and expenditure, as well as the related behaviors, to fully understand how energy homeostasis is regulated in order to develop interventions and evaluate their effectiveness to combat the global obesity epidemic.Scope of reviewWe provide an in-depth review of the methodologies currently used to measure energy intake and expenditure in humans, including their principles, advantages, and limitations in the clinical research setting. The aim is to provide researchers with a comprehensive guide to conduct obesity research of the highest possible quality.Major conclusionsAn array of methodologies is available to measure various aspects of energy metabolism and none is perfect under all circumstances. The choice of methods should be specific to particular research questions with practicality and quality of data the priorities for consideration. A combination of complementary measurements may be preferable. There is an imperative need to develop new methodologies to improve the accuracy and precision of energy intake assessments.

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The metabolic signature associated with the Western dietary pattern: a cross-sectional study

Cited by 89 publications

References 32 publications

Glucose and Lipid Dysmetabolism in a Rat Model of Prediabetes Induced by a High-Sucrose Diet

Glucose and Lipid Dysmetabolism in a Rat Model of Prediabetes Induced by a High-Sucrose Diet

Identifying biomarkers of dietary patterns by using metabolomics

Analysis of energy metabolism in humans: A review of methodologies

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