Literature DB >> 24846387

Metabolome and fecal microbiota in monozygotic twin pairs discordant for weight: a Big Mac challenge.

Isabel Bondia-Pons1, Johanna Maukonen2, Ismo Mattila2, Aila Rissanen3, Maria Saarela2, Jaakko Kaprio4, Antti Hakkarainen5, Jesper Lundbom6, Nina Lundbom6, Tuulia Hyötyläinen7, Kirsi H Pietiläinen8, Matej Orešič9.   

Abstract

Postprandial responses to food are complex, involving both genetic and environmental factors. We studied postprandial responses to a Big Mac meal challenge in monozygotic co-twins highly discordant for body weight. This unique design allows assessment of the contribution of obesity, independent of genetic liability. Comprehensive metabolic profiling using 3 analytical platforms was applied to fasting and postprandial serum samples from 16 healthy monozygotic twin pairs discordant for weight (body mass index difference >3 kg/m(2)). Nine concordant monozygotic pairs were examined as control pairs. Fecal samples were analyzed to assess diversity of the major bacterial groups by using 5 different validated bacterial group specific denaturing gradient gel electrophoresis methods. No differences in fecal bacterial diversity were detected when comparing co-twins discordant for weight (ANOVA, P<0.05). We found that within-pair similarity is a dominant factor in the metabolic postprandial response, independent of acquired obesity. Branched chain amino acids were increased in heavier as compared with leaner co-twins in the fasting state, but their levels converged postprandially (paired t tests, FDR q<0.05). We also found that specific bacterial groups were associated with postprandial changes of specific metabolites. Our findings underline important roles of genetic and early life factors in the regulation of postprandial metabolite levels. © FASEB.

Entities:  

Keywords:  bile acids; metabolomics; obesity

Mesh:

Substances:

Year:  2014        PMID: 24846387      PMCID: PMC5395738          DOI: 10.1096/fj.14-250167

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


  43 in total

1.  Network Analysis Tools: from biological networks to clusters and pathways.

Authors:  Sylvain Brohée; Karoline Faust; Gipsi Lima-Mendez; Gilles Vanderstocken; Jacques van Helden
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2.  Data analysis tool for comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry.

Authors:  Sandra Castillo; Ismo Mattila; Jarkko Miettinen; Matej Orešič; Tuulia Hyötyläinen
Journal:  Anal Chem       Date:  2011-03-24       Impact factor: 6.986

3.  Mechanisms underlying the resistance to diet-induced obesity in germ-free mice.

Authors:  Fredrik Bäckhed; Jill K Manchester; Clay F Semenkovich; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-08       Impact factor: 11.205

4.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

5.  The currently used commercial DNA-extraction methods give different results of clostridial and actinobacterial populations derived from human fecal samples.

Authors:  Johanna Maukonen; Catarina Simões; Maria Saarela
Journal:  FEMS Microbiol Ecol       Date:  2011-12-13       Impact factor: 4.194

6.  Sequence heterogeneities of genes encoding 16S rRNAs in Paenibacillus polymyxa detected by temperature gradient gel electrophoresis.

Authors:  U Nübel; B Engelen; A Felske; J Snaidr; A Wieshuber; R I Amann; W Ludwig; H Backhaus
Journal:  J Bacteriol       Date:  1996-10       Impact factor: 3.490

7.  A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance.

Authors:  Christopher B Newgard; Jie An; James R Bain; Michael J Muehlbauer; Robert D Stevens; Lillian F Lien; Andrea M Haqq; Svati H Shah; Michelle Arlotto; Cris A Slentz; James Rochon; Dianne Gallup; Olga Ilkayeva; Brett R Wenner; William S Yancy; Howard Eisenson; Gerald Musante; Richard S Surwit; David S Millington; Mark D Butler; Laura P Svetkey
Journal:  Cell Metab       Date:  2009-04       Impact factor: 27.287

Review 8.  Pleiotropic roles of bile acids in metabolism.

Authors:  Thomas Q de Aguiar Vallim; Elizabeth J Tarling; Peter A Edwards
Journal:  Cell Metab       Date:  2013-04-18       Impact factor: 27.287

9.  Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes.

Authors:  Suzan Wopereis; Carina M Rubingh; Marjan J van Erk; Elwin R Verheij; Trinette van Vliet; Nicole H P Cnubben; Age K Smilde; Jan van der Greef; Ben van Ommen; Henk F J Hendriks
Journal:  PLoS One       Date:  2009-02-26       Impact factor: 3.240

10.  Global transcript profiles of fat in monozygotic twins discordant for BMI: pathways behind acquired obesity.

Authors:  Kirsi H Pietiläinen; Jussi Naukkarinen; Aila Rissanen; Juha Saharinen; Pekka Ellonen; Heli Keränen; Anu Suomalainen; Alexandra Götz; Tapani Suortti; Hannele Yki-Järvinen; Matej Oresic; Jaakko Kaprio; Leena Peltonen
Journal:  PLoS Med       Date:  2008-03-11       Impact factor: 11.069

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  16 in total

Review 1.  Understanding the Role of the Gut Microbiome and Microbial Metabolites in Obesity and Obesity-Associated Metabolic Disorders: Current Evidence and Perspectives.

Authors:  Natalia Vallianou; Theodora Stratigou; Gerasimos Socrates Christodoulatos; Maria Dalamaga
Journal:  Curr Obes Rep       Date:  2019-09

Review 2.  Biodiversity of Intestinal Lactic Acid Bacteria in the Healthy Population.

Authors:  Marika Mikelsaar; Epp Sepp; Jelena Štšepetova; Epp Songisepp; Reet Mändar
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

3.  Clostridium difficile heterogeneously impacts intestinal community architecture but drives stable metabolome responses.

Authors:  David Rojo; María J Gosalbes; Rafaela Ferrari; Ana E Pérez-Cobas; Ester Hernández; Rosa Oltra; Javier Buesa; Amparo Latorre; Coral Barbas; Manuel Ferrer; Andrés Moya
Journal:  ISME J       Date:  2015-03-10       Impact factor: 10.302

4.  Metabolomics Reveals Metabolically Healthy and Unhealthy Obese Individuals Differ in their Response to a Caloric Challenge.

Authors:  Flavia Badoud; Karen P Lam; Maude Perreault; Michael A Zulyniak; Philip Britz-McKibbin; David M Mutch
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

Review 5.  Twins and endocrinology.

Authors:  K V S Hari Kumar; K D Modi
Journal:  Indian J Endocrinol Metab       Date:  2014-11

6.  Ranking the impact of human health disorders on gut metabolism: systemic lupus erythematosus and obesity as study cases.

Authors:  David Rojo; Arancha Hevia; Rafael Bargiela; Patricia López; Adriana Cuervo; Sonia González; Ana Suárez; Borja Sánchez; Mónica Martínez-Martínez; Christian Milani; Marco Ventura; Coral Barbas; Andrés Moya; Antonio Suárez; Abelardo Margolles; Manuel Ferrer
Journal:  Sci Rep       Date:  2015-02-06       Impact factor: 4.379

7.  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

8.  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

9.  Phenotypic flexibility as key factor in the human nutrition and health relationship.

Authors:  Ben van Ommen; Jan van der Greef; Jose Maria Ordovas; Hannelore Daniel
Journal:  Genes Nutr       Date:  2014-08-09       Impact factor: 5.523

10.  Intestinal Microbiota Is Influenced by Gender and Body Mass Index.

Authors:  Carmen Haro; Oriol A Rangel-Zúñiga; Juan F Alcalá-Díaz; Francisco Gómez-Delgado; Pablo Pérez-Martínez; Javier Delgado-Lista; Gracia M Quintana-Navarro; Blanca B Landa; Juan A Navas-Cortés; Manuel Tena-Sempere; José C Clemente; José López-Miranda; Francisco Pérez-Jiménez; Antonio Camargo
Journal:  PLoS One       Date:  2016-05-26       Impact factor: 3.240

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