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Plasma Metabolic Signatures of Healthy Overweight Subjects Challenged With an Oral Glucose Tolerance Test.
Fiamoncini, Jarlei; Donado-Pestana, Carlos M; Duarte, Graziela Biude Silva; Rundle, Milena; Thomas, Elizabeth Louise; Kiselova-Kaneva, Yoana; Gundersen, Thomas E; Bunzel, Diana; Trezzi, Jean-Pierre; Kulling, Sabine E; Hiller, Karsten; Sonntag, Denise; Ivanova, Diana; Brennan, Lorraine; Wopereis, Suzan; van Ommen, Ben; Frost, Gary; Bell, Jimmy; Drevon, Christian A; Daniel, Hannelore.
  • Fiamoncini J; Department Food and Nutrition, Technische Universität München, Freising, Germany.
  • Donado-Pestana CM; Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • Duarte GBS; Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • Rundle M; Food Research Center, Department of Food Science and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • Thomas EL; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom.
  • Kiselova-Kaneva Y; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom.
  • Gundersen TE; Department of Biochemistry, Molecular Medicine and Nutrigenomics, Medical University, Varna, Bulgaria.
  • Bunzel D; Vitas Ltd., Oslo Science Park, Oslo, Norway.
  • Trezzi JP; Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany.
  • Kulling SE; Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany.
  • Hiller K; Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Sonntag D; Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany.
  • Ivanova D; Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany.
  • Brennan L; Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • Wopereis S; biocrates life sciences AG, Innsbruck, Austria.
  • van Ommen B; Department of Biochemistry, Molecular Medicine and Nutrigenomics, Medical University, Varna, Bulgaria.
  • Frost G; UCD School of Agriculture and Food Science, Institute of Food and Health, Conway Institute, University College Dublin, Dublin, Ireland.
  • Bell J; Netherlands Organisation for Applied Scientific Research, Netherlands Institute for Applied Scientific Research, Microbiology and Systems Biology, Zeist, Netherlands.
  • Drevon CA; Netherlands Organisation for Applied Scientific Research, Netherlands Institute for Applied Scientific Research, Microbiology and Systems Biology, Zeist, Netherlands.
  • Daniel H; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom.
Front Nutr ; 9: 898782, 2022.
Article en En | MEDLINE | ID: mdl-35774538
Insulin secretion following ingestion of a carbohydrate load affects a multitude of metabolic pathways that simultaneously change direction and quantity of interorgan fluxes of sugars, lipids and amino acids. In the present study, we aimed at identifying markers associated with differential responses to an OGTT a population of healthy adults. By use of three metabolite profiling platforms, we assessed these postprandial responses of a total of 202 metabolites in plasma of 72 healthy volunteers undergoing comprehensive phenotyping and of which half enrolled into a weight-loss program over a three-month period. A standard oral glucose tolerance test (OGTT) served as dietary challenge test to identify changes in postprandial metabolite profiles. Despite classified as healthy according to WHO criteria, two discrete clusters (A and B) were identified based on the postprandial glucose profiles with a balanced distribution of volunteers based on gender and other measures. Cluster A individuals displayed 26% higher postprandial glucose levels, delayed glucose clearance and increased fasting plasma concentrations of more than 20 known biomarkers of insulin resistance and diabetes previously identified in large cohort studies. The volunteers identified by canonical postprandial responses that form cluster A may be called pre-pre-diabetics and defined as "at risk" for development of insulin resistance. Moreover, postprandial changes in selected fatty acids and complex lipids, bile acids, amino acids, acylcarnitines and sugars like mannose revealed marked differences in the responses seen in cluster A and cluster B individuals that sustained over the entire challenge test period of 240 min. Almost all metabolites, including glucose and insulin, returned to baseline values at the end of the test (at 240 min), except a variety of amino acids and here those that have been linked to diabetes development. Analysis of the corresponding metabolite profile in a fasting blood sample may therefore allow for early identification of these subjects at risk for insulin resistance without the need to undergo an OGTT.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article