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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; van Ommen, Ben; Frost, Gary; Brennan, Lorraine; Bell, Jimmy; Daniel, Hannelore.
Afiliação
  • Fiamoncini J; Department of Food and Nutrition, Technische Universität München, Freising-Weihenstephan, Germany.
  • Rundle M; Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom.
  • Gibbons H; University College Dublin (UCD) School of Agriculture and Food Science, Institute of Food and Health, Dublin, Ireland.
  • Thomas EL; Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, United Kingdom.
  • Geillinger-Kästle K; Department of Food and Nutrition, Technische Universität München, Freising-Weihenstephan, Germany.
  • Bunzel D; Department of Safety and Quality of Fruit and Vegetables, Max Rubner Institut, Karlsruhe, Germany.
  • Trezzi JP; Integrated Biobank of Luxembourg, Dudelange, Luxembourg.
  • Kiselova-Kaneva Y; Centre for Systems Biomedicine, Esch-sur-Alzette, Luxembourg.
  • Wopereis S; Department of Biochemistry, Molecular Medicine, and Nutrigenomics, Medical University-Varna, Varna, Bulgaria.
  • Wahrheit J; Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, The Netherlands.
  • Kulling SE; Biocrates Life Sciences, Innsbruck, Austria.
  • Hiller K; Department of Safety and Quality of Fruit and Vegetables, Max Rubner Institut, Karlsruhe, Germany.
  • Sonntag D; Braunschweig Integrated Centre of Systems Biology, University of Braunschweig, Braunschweig, Germany.
  • Ivanova D; Department of Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig, Germany.
  • van Ommen B; Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, The Netherlands.
  • Frost G; Department of Biochemistry, Molecular Medicine, and Nutrigenomics, Medical University-Varna, Varna, Bulgaria.
  • Brennan L; Department of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, The Netherlands.
  • Bell J; Division of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, United Kingdom.
  • Daniel H; University College Dublin (UCD) School of Agriculture and Food Science, Institute of Food and Health, Dublin, Ireland.
FASEB J ; 32(10): 5447-5458, 2018 10.
Article em En | MEDLINE | ID: mdl-29718708
Health has been defined as the capability of the organism to adapt to challenges. In this study, we tested to what extent comprehensively phenotyped individuals reveal differences in metabolic responses to a standardized mixed meal tolerance test (MMTT) and how these responses change when individuals experience moderate weight loss. Metabolome analysis was used in 70 healthy individuals. with profiling of ∼300 plasma metabolites during an MMTT over 8 h. Multivariate analysis of plasma markers of fatty acid catabolism identified 2 distinct metabotype clusters (A and B). Individuals from metabotype B showed slower glucose clearance, had increased intra-abdominal adipose tissue mass and higher hepatic lipid levels when compared with individuals from metabotype A. An NMR-based urine analysis revealed that these individuals also to have a less healthy dietary pattern. After a weight loss of ∼5.6 kg over 12 wk, only the subjects from metabotype B showed positive changes in the glycemic response during the MMTT and in markers of metabolic diseases. Our study in healthy individuals demonstrates that more comprehensive phenotyping can reveal discrete metabotypes with different outcomes in a dietary intervention and that markers of lipid catabolism in plasma could allow early detection of the metabolic syndrome.-Fiamoncini, J., Rundle, M., Gibbons, H., Thomas, E. L., Geillinger-Kästle, K., Bunzel, D., Trezzi, J.-P., Kiselova-Kaneva, Y., Wopereis, S., Wahrheit, J., Kulling, S. E., Hiller, K., Sonntag, D., Ivanova, D., van Ommen, B., Frost, G., Brennan, L., Bell, J. Daniel, H. Plasma metabolome analysis identifies distinct human metabotypes in the postprandial state with different susceptibility to weight loss-mediated metabolic improvements.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redução de Peso / Período Pós-Prandial / Metaboloma Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redução de Peso / Período Pós-Prandial / Metaboloma Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article