Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss‐mediated metabolic improvements

Fiamoncini, Jarlei; Rundle, Milena; Gibbons, Helena; Thomas, E. Louise; Geillinger-Kästle, Kerstin; Bunzel, Diana; Trezzi, Jean-Pierre; Kiselova-Kaneva, Yoana; Wopereis, Suzan; Wahrheit, Judith; Kulling, Sabine E.; Hiller, Karsten; Sonntag, Denise; Ivanova, Diana; Ommen, Ben van; Frost, Gary; Brennan, Lorraine; Bell, Jimmy D.; Daniel, Hannelore

doi:10.1096/fj.201800330r

Cited by 58 publications

(61 citation statements)

References 42 publications

(43 reference statements)

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“…However, for the development of targeted disease prevention strategies, it is necessary to identify differences between metabotype clusters in their association of diet and/or physical activity with disease‐specific outcomes. Since only few studies investigated such differences between metabotypes, [ 10,15,36–38 ] further studies are needed for the development of targeted disease prevention strategies on the metabotype subgroup level and for testing the effectiveness. In addition, this could be also relevant for more specific metabolically subgroups such as of diabetic patients.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study

Riedl

Hillesheim

Wawro

et al. 2020

Molecular Nutrition Food Res

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Scope: Previous work identified three metabolically homogeneous subgroups of individuals ("metabotypes") using k-means cluster analysis based on fasting serum levels of triacylglycerol, total cholesterol, HDL cholesterol, and glucose. The aim is to reproduce these findings and describe metabotype groups by dietary habits and by incident disease occurrence. Methods and results: 1744 participants from the KORA F4 study and 2221 participants from the KORA FF4 study are assigned to the three metabotype clusters previously identified by minimizing the Euclidean distances. In both KORA studies, the assignment of participants results in three metabolically distinct clusters, with cluster 3 representing the group of participants with the most unfavorable metabolic characteristics. Individuals of cluster 3 are further characterized by the highest incident disease occurrence during follow-up; they also reveal the most unfavorable diet with significantly lowest intakes of vegetables, dairy products, and fibers, and highest intakes of total, red, and processed meat. Conclusion: The three metabotypes originally identified in an Irish population are successfully reproduced. In addition to this validation approach, the observed differences in disease incidence across metabotypes represent an important new finding that strongly supports the metabotyping approach as a tool for risk stratification.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study

Riedl

Hillesheim

Wawro

et al. 2020

Molecular Nutrition Food Res

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“…In the previous literature, there are numerous studies on metabotyping [16,22,23]. Some of these studies defined metabotypes including fasting plasma values, while a few studies classified metabotypes based on plasma parameter responsiveness to dietary interventions [17,22,[59][60][61][62]. CI confidence interval, KORA Cooperative Health Research in the Region of Augsburg, NGT normal glucose tolerance, OR odds ratio, SSB sugar-sweetened beverages, T2DM type 2 diabetes mellitus, UDM undetected diabetes mellitus a Compared against low alcohol intake (< 5 g/day for men, < 2 g/day for women as reference category); moderate considered 5 to < 20 g/ day for men, 2 to < 10 g/day for women; high considered ≥ 20 g/day for men, ≥ 10 g/day for women Concerning the metabotypes identified in KORA FF4, diabetes prevention may be especially relevant for cluster 3, defining an unfavorable metabotype concerning metabolic characteristics.…”

Section: Metabotypes For the Development Of Targeted Dietary Recommenmentioning

confidence: 99%

Modifying effect of metabotype on diet–diabetes associations

et al. 2019

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Purpose Inter-individual metabolic differences may be a reason for previously inconsistent results in diet-diabetes associations. We aimed to investigate associations between dietary intake and diabetes for metabolically homogeneous subgroups ('metabotypes') in a large cross-sectional study. Methods We used data of 1517 adults aged 38-87 years from the German population-based KORA FF4 study (2013/2014). Dietary intake was estimated based on the combination of a food frequency questionnaire and multiple 24-h food lists. Glucose tolerance status was classified based on an oral glucose tolerance test in participants without a previous diabetes diagnosis using American Diabetes Association criteria. Logistic regression was applied to examine the associations between dietary intake and diabetes for two distinct metabotypes, which were identified based on 16 biochemical and anthropometric parameters. Results A low intake of fruits and a high intake of total meat, processed meat and sugar-sweetened beverages (SSB) were significantly associated with diabetes in the total study population. Stratified by metabotype, associations with diabetes remained significant for intake of total meat (OR 1.67, 95% CI 1.04-2.67) and processed meat (OR 2.23, 95% CI 1.24-4.04) in the metabotypes with rather favorable metabolic characteristics, and for intake of fruits (OR 0.83, 95% CI 0.68-0.99) and SSB (OR:1.21, 95% CI 1.09-1.35) in the more unfavorable metabotype. However, only the association between SSB intake and diabetes differed significantly by metabotype (p value for interaction = 0.01). Conclusions Our findings suggest an influence of metabolic characteristics on diet-diabetes associations, which may help to explain inconsistent previous results. The causality of the observed associations needs to be confirmed in prospective and intervention studies.

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“…The capacity to retain hemostasis upon food intake has been proposed to be important in normal human lipid and glucose metabolism [ 18 ]; a sequence of responses is elicited from the gastrointestinal system involving hormones and digestion enzymes, followed by nutritional absorption and delivery to organs and tissues. Abnormalities in postprandial lipid catabolism have been shown to be able to effectively detect early MetS [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

The role of postprandial very-low-density lipoprotein in the development of atrial remodeling in metabolic syndrome

et al. 2020

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Background Negatively charged very-low-density lipoprotein (VLDL-χ) in metabolic syndrome (MetS) patients exerts cytotoxic effects on endothelial cells and atrial myocytes. Atrial cardiomyopathy, manifested by atrial remodeling with a dilated diameter, contributes to atrial fibrillation pathogenesis and predicts atrial fibrillation development. The correlation of VLDL-χ with atrial remodeling is unknown. This study investigated the association between VLDL-χ and remodeling of left atrium. Methods Consecutively, 87 MetS and 80 non-MetS individuals between 23 and 74 years old (50.6% men) without overt cardiovascular diseases were included in the prospective cohort study. Blood samples were collected while fasting and postprandially (at 0.5, 1, 2, and 4 h after a unified meal). VLDL was isolated by ultracentrifugation; the percentile concentration of VLDL-χ (%) was determined by ultra-performance liquid chromatography. The correlations of left atrium diameter (LAD) with variables including VLDL-χ, LDL-C, HDL-C, triglycerides, glucose, and blood pressure, were analyzed by multiple linear regression models. A hierarchical linear model was conducted to test the independencies of each variable’s correlation with LAD. Results The mean LAD was 3.4 ± 0.5 cm in non-MetS subjects and 3.9 ± 0.5 cm in MetS patients (P < 0.01). None of the fasting lipid profiles were associated with LAD. VLDL-χ, BMI, waist circumference, hip circumference, and blood pressure were positively correlated with LAD (all P < 0.05) after adjustment for age and sex. Significant interactions between VLDL-χ and blood pressure, waist circumference, and hip circumference were observed. When adjusted for obesity- and blood pressure-related variables, 2-h postprandial VLDL-χ (mean 1.30 ± 0.61%) showed a positive correlation with LAD in MetS patients. Each 1% VLDL-χ increase was estimated to increase LAD by 0.23 cm. Conclusions Postprandial VLDL-χ is associated with atrial remodeling particularly in the MetS group. VLDL-χ is a novel biomarker and may be a therapeutic target for atrial cardiomyopathy in MetS patients. Trial registration ISRCTN 69295295. Retrospectively registered 9 June 2020.

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Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss‐mediated metabolic improvements

Cited by 58 publications

References 42 publications

Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study

Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study

Modifying effect of metabotype on diet–diabetes associations

The role of postprandial very-low-density lipoprotein in the development of atrial remodeling in metabolic syndrome

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