Literature DB >> 23312289

Genetic control of obesity and gut microbiota composition in response to high-fat, high-sucrose diet in mice.

Brian W Parks1, Elizabeth Nam, Elin Org, Emrah Kostem, Frode Norheim, Simon T Hui, Calvin Pan, Mete Civelek, Christoph D Rau, Brian J Bennett, Margarete Mehrabian, Luke K Ursell, Aiqing He, Lawrence W Castellani, Bradley Zinker, Mark Kirby, Thomas A Drake, Christian A Drevon, Rob Knight, Peter Gargalovic, Todd Kirchgessner, Eleazar Eskin, Aldons J Lusis.   

Abstract

Obesity is a highly heritable disease driven by complex interactions between genetic and environmental factors. Human genome-wide association studies (GWAS) have identified a number of loci contributing to obesity; however, a major limitation of these studies is the inability to assess environmental interactions common to obesity. Using a systems genetics approach, we measured obesity traits, global gene expression, and gut microbiota composition in response to a high-fat/high-sucrose (HF/HS) diet of more than 100 inbred strains of mice. Here we show that HF/HS feeding promotes robust, strain-specific changes in obesity that are not accounted for by food intake and provide evidence for a genetically determined set point for obesity. GWAS analysis identified 11 genome-wide significant loci associated with obesity traits, several of which overlap with loci identified in human studies. We also show strong relationships between genotype and gut microbiota plasticity during HF/HS feeding and identify gut microbial phylotypes associated with obesity.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23312289      PMCID: PMC3545283          DOI: 10.1016/j.cmet.2012.12.007

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  68 in total

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Journal:  Nat Genet       Date:  2008-12-14       Impact factor: 38.330

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Journal:  Genetics       Date:  2008-03       Impact factor: 4.562

3.  Metabolic syndrome and altered gut microbiota in mice lacking Toll-like receptor 5.

Authors:  Matam Vijay-Kumar; Jesse D Aitken; Frederic A Carvalho; Tyler C Cullender; Simon Mwangi; Shanthi Srinivasan; Shanthi V Sitaraman; Rob Knight; Ruth E Ley; Andrew T Gewirtz
Journal:  Science       Date:  2010-03-04       Impact factor: 47.728

4.  Obesity susceptibility loci and dietary intake in the Look AHEAD Trial.

Authors:  Jeanne M McCaffery; George D Papandonatos; Inga Peter; Gordon S Huggins; Hollie A Raynor; Linda M Delahanty; Lawrence J Cheskin; Ashok Balasubramanyam; Lynne E Wagenknecht; Rena R Wing
Journal:  Am J Clin Nutr       Date:  2012-04-18       Impact factor: 7.045

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Journal:  J Biol Chem       Date:  2002-04-05       Impact factor: 5.157

6.  Human carbonyl reductase 1 is an S-nitrosoglutathione reductase.

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Journal:  J Biol Chem       Date:  2008-09-29       Impact factor: 5.157

Review 7.  A proprietary alpha-amylase inhibitor from white bean (Phaseolus vulgaris): a review of clinical studies on weight loss and glycemic control.

Authors:  Marilyn L Barrett; Jay K Udani
Journal:  Nutr J       Date:  2011-03-17       Impact factor: 3.271

8.  Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations.

Authors:  Ayşe Demirkan; Cornelia M van Duijn; Peter Ugocsai; Aaron Isaacs; Peter P Pramstaller; Gerhard Liebisch; James F Wilson; Åsa Johansson; Igor Rudan; Yurii S Aulchenko; Anatoly V Kirichenko; A Cecile J W Janssens; Ritsert C Jansen; Carsten Gnewuch; Francisco S Domingues; Cristian Pattaro; Sarah H Wild; Inger Jonasson; Ozren Polasek; Irina V Zorkoltseva; Albert Hofman; Lennart C Karssen; Maksim Struchalin; James Floyd; Wilmar Igl; Zrinka Biloglav; Linda Broer; Arne Pfeufer; Irene Pichler; Susan Campbell; Ghazal Zaboli; Ivana Kolcic; Fernando Rivadeneira; Jennifer Huffman; Nicholas D Hastie; Andre Uitterlinden; Lude Franke; Christopher S Franklin; Veronique Vitart; Christopher P Nelson; Michael Preuss; Joshua C Bis; Christopher J O'Donnell; Nora Franceschini; Jacqueline C M Witteman; Tatiana Axenovich; Ben A Oostra; Thomas Meitinger; Andrew A Hicks; Caroline Hayward; Alan F Wright; Ulf Gyllensten; Harry Campbell; Gerd Schmitz
Journal:  PLoS Genet       Date:  2012-02-16       Impact factor: 5.917

9.  Human-associated microbial signatures: examining their predictive value.

Authors:  Dan Knights; Laura Wegener Parfrey; Jesse Zaneveld; Catherine Lozupone; Rob Knight
Journal:  Cell Host Microbe       Date:  2011-10-20       Impact factor: 21.023

10.  Mouse genome-wide association and systems genetics identify Asxl2 as a regulator of bone mineral density and osteoclastogenesis.

Authors:  Charles R Farber; Brian J Bennett; Luz Orozco; Wei Zou; Ana Lira; Emrah Kostem; Hyun Min Kang; Nicholas Furlotte; Ani Berberyan; Anatole Ghazalpour; Jaijam Suwanwela; Thomas A Drake; Eleazar Eskin; Q Tian Wang; Steven L Teitelbaum; Aldons J Lusis
Journal:  PLoS Genet       Date:  2011-04-07       Impact factor: 5.917

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  230 in total

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Journal:  Diabetologia       Date:  2014-11-14       Impact factor: 10.122

Review 2.  Essential roles of four-carbon backbone chemicals in the control of metabolism.

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Journal:  World J Biol Chem       Date:  2015-08-26

3.  Dietary Adaptation of Microbiota in Drosophila Requires NF-κB-Dependent Control of the Translational Regulator 4E-BP.

Authors:  Crissie Vandehoef; Maral Molaei; Jason Karpac
Journal:  Cell Rep       Date:  2020-06-09       Impact factor: 9.423

Review 4.  'Inside Out'- a dialogue between mitochondria and bacteria.

Authors:  Bing Han; Chih-Chun Janet Lin; Guo Hu; Meng C Wang
Journal:  FEBS J       Date:  2018-11-21       Impact factor: 5.542

5.  Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics.

Authors:  Annalouise O'Connor; Pamela M Quizon; Jody E Albright; Fred T Lin; Brian J Bennett
Journal:  Mamm Genome       Date:  2014-08-27       Impact factor: 2.957

Review 6.  The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models-Part I: Overview of Current Methods.

Authors:  Riley L Hughes; Maria L Marco; James P Hughes; Nancy L Keim; Mary E Kable
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

7.  Genetic control of obesity, glucose homeostasis, dyslipidemia and fatty liver in a mouse model of diet-induced metabolic syndrome.

Authors:  D S Sinasac; J D Riordan; S H Spiezio; B S Yandell; C M Croniger; J H Nadeau
Journal:  Int J Obes (Lond)       Date:  2015-09-18       Impact factor: 5.095

8.  Metabolic endotoxemia directly increases the proliferation of adipocyte precursors at the onset of metabolic diseases through a CD14-dependent mechanism.

Authors:  Elodie Luche; Béatrice Cousin; Lucile Garidou; Matteo Serino; Aurélie Waget; Corinne Barreau; Mireille André; Philippe Valet; Michael Courtney; Louis Casteilla; Rémy Burcelin
Journal:  Mol Metab       Date:  2013-07-04       Impact factor: 7.422

Review 9.  Adipose tissue inflammation in glucose metabolism.

Authors:  H L Kammoun; M J Kraakman; M A Febbraio
Journal:  Rev Endocr Metab Disord       Date:  2014-03       Impact factor: 6.514

10.  Mapping genetic contributions to cardiac pathology induced by Beta-adrenergic stimulation in mice.

Authors:  Christoph D Rau; Jessica Wang; Rozeta Avetisyan; Milagros C Romay; Lisa Martin; Shuxun Ren; Yibin Wang; Aldons J Lusis
Journal:  Circ Cardiovasc Genet       Date:  2014-12-05
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