Literature DB >> 29718708

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

Jarlei Fiamoncini1, Milena Rundle2, Helena Gibbons3, E Louise Thomas4, Kerstin Geillinger-Kästle1, Diana Bunzel5, Jean-Pierre Trezzi6,7, Yoana Kiselova-Kaneva8, Suzan Wopereis9, Judith Wahrheit10, Sabine E Kulling5, Karsten Hiller11,12, Denise Sonntag9, Diana Ivanova8, Ben van Ommen9, Gary Frost2, Lorraine Brennan3, Jimmy Bell4, Hannelore Daniel1.   

Abstract

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.

Entities:  

Keywords:  acylcarnitines; dietary challenges; metabolomics; phenotypic flexibility

Mesh:

Year:  2018        PMID: 29718708     DOI: 10.1096/fj.201800330R

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  25 in total

1.  Profiling of Endogenous and Gut Microbial Metabolites to Indicate Metabotype-Specific Dietary Responses: A Systematic Review.

Authors:  Stefania Noerman; Marjukka Kolehmainen; Kati Hanhineva
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

2.  Modulation of Gut Microbiota and Metabolites by Berberine in Treating Mice With Disturbances in Glucose and Lipid Metabolism.

Authors:  Xinyi Fang; Haoran Wu; Xinmiao Wang; Fengmei Lian; Min Li; Runyu Miao; Jiahua Wei; Jiaxing Tian
Journal:  Front Pharmacol       Date:  2022-06-03       Impact factor: 5.988

3.  Plasma Metabolic Signatures of Healthy Overweight Subjects Challenged With an Oral Glucose Tolerance Test.

Authors:  Jarlei Fiamoncini; Carlos M Donado-Pestana; Graziela Biude Silva Duarte; Milena Rundle; Elizabeth Louise Thomas; Yoana Kiselova-Kaneva; Thomas E Gundersen; Diana Bunzel; Jean-Pierre Trezzi; Sabine E Kulling; Karsten Hiller; Denise Sonntag; Diana Ivanova; Lorraine Brennan; Suzan Wopereis; Ben van Ommen; Gary Frost; Jimmy Bell; Christian A Drevon; Hannelore Daniel
Journal:  Front Nutr       Date:  2022-06-14

4.  Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes.

Authors:  Magdalena Del Rocio Sevilla-Gonzalez; Alisa K Manning; Kenneth E Westerman; Carlos Alberto Aguilar-Salinas; Amy Deik; Clary B Clish
Journal:  BMJ Open Diabetes Res Care       Date:  2022-10

Review 5.  Gut microbiota-derived metabolites as central regulators in metabolic disorders.

Authors:  Allison Agus; Karine Clément; Harry Sokol
Journal:  Gut       Date:  2020-12-03       Impact factor: 23.059

Review 6.  Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.

Authors:  Daniel Gonzalez Izundegui; Matthew Nayor
Journal:  Curr Diab Rep       Date:  2022-02-03       Impact factor: 4.810

7.  Global testing of shifts in metabolic phenotype.

Authors:  Parastoo Fazelzadeh; Huub C J Hoefsloot; Thomas Hankemeier; Jasper Most; Sander Kersten; Ellen E Blaak; Mark Boekschoten; John van Duynhoven
Journal:  Metabolomics       Date:  2018-10-04       Impact factor: 4.290

8.  Serum Metabolites Responding in a Dose-Dependent Manner to the Intake of a High-Fat Meal in Normal Weight Healthy Men Are Associated with Obesity.

Authors:  Ueli Bütikofer; David Burnand; Reto Portmann; Carola Blaser; Flurina Schwander; Katrin A Kopf-Bolanz; Kurt Laederach; René Badertscher; Barbara Walther; Guy Vergères
Journal:  Metabolites       Date:  2021-06-16

9.  Advantages of Studying the Metabolome in Response to Mixed-Macronutrient Challenges and Suggestions for Future Research Designs.

Authors:  Jennifer L LaBarre; Kanakadurga Singer; Charles F Burant
Journal:  J Nutr       Date:  2021-10-01       Impact factor: 4.687

10.  Measuring Postprandial Metabolic Flexibility to Assess Metabolic Health and Disease.

Authors:  Elaine A Yu; Ngoc-Anh Le; Aryeh D Stein
Journal:  J Nutr       Date:  2021-11-02       Impact factor: 4.687

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