Literature DB >> 29361466

Integrative Personal Omics Profiles during Periods of Weight Gain and Loss.

Brian D Piening1, Wenyu Zhou1, Kévin Contrepois1, Hannes Röst1, Gucci Jijuan Gu Urban2, Tejaswini Mishra1, Blake M Hanson3, Eddy J Bautista3, Shana Leopold3, Christine Y Yeh4, Daniel Spakowicz3, Imon Banerjee5, Cynthia Chen5, Kimberly Kukurba1, Dalia Perelman6, Colleen Craig6, Elizabeth Colbert6, Denis Salins1, Shannon Rego1, Sunjae Lee7, Cheng Zhang7, Jessica Wheeler1, M Reza Sailani1, Liang Liang1, Charles Abbott1, Mark Gerstein8, Adil Mardinoglu9, Ulf Smith10, Daniel L Rubin5, Sharon Pitteri11, Erica Sodergren3, Tracey L McLaughlin12, George M Weinstock13, Michael P Snyder14.   

Abstract

Advances in omics technologies now allow an unprecedented level of phenotyping for human diseases, including obesity, in which individual responses to excess weight are heterogeneous and unpredictable. To aid the development of better understanding of these phenotypes, we performed a controlled longitudinal weight perturbation study combining multiple omics strategies (genomics, transcriptomics, multiple proteomics assays, metabolomics, and microbiomics) during periods of weight gain and loss in humans. Results demonstrated that: (1) weight gain is associated with the activation of strong inflammatory and hypertrophic cardiomyopathy signatures in blood; (2) although weight loss reverses some changes, a number of signatures persist, indicative of long-term physiologic changes; (3) we observed omics signatures associated with insulin resistance that may serve as novel diagnostics; (4) specific biomolecules were highly individualized and stable in response to perturbations, potentially representing stable personalized markers. Most data are available open access and serve as a valuable resource for the community.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genomics; metabolomics; microbiome; obesity; proteomics; systems biology; type 2 diabetes

Mesh:

Substances:

Year:  2018        PMID: 29361466      PMCID: PMC6021558          DOI: 10.1016/j.cels.2017.12.013

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  86 in total

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Journal:  Circulation       Date:  2002-12-03       Impact factor: 29.690

2.  Search and clustering orders of magnitude faster than BLAST.

Authors:  Robert C Edgar
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

3.  Human gut microbes impact host serum metabolome and insulin sensitivity.

Authors:  Helle Krogh Pedersen; Valborg Gudmundsdottir; Henrik Bjørn Nielsen; Tuulia Hyotylainen; Trine Nielsen; Benjamin A H Jensen; Kristoffer Forslund; Falk Hildebrand; Edi Prifti; Gwen Falony; Emmanuelle Le Chatelier; Florence Levenez; Joel Doré; Ismo Mattila; Damian R Plichta; Päivi Pöhö; Lars I Hellgren; Manimozhiyan Arumugam; Shinichi Sunagawa; Sara Vieira-Silva; Torben Jørgensen; Jacob Bak Holm; Kajetan Trošt; Karsten Kristiansen; Susanne Brix; Jeroen Raes; Jun Wang; Torben Hansen; Peer Bork; Søren Brunak; Matej Oresic; S Dusko Ehrlich; Oluf Pedersen
Journal:  Nature       Date:  2016-07-13       Impact factor: 49.962

4.  Systems proteomics of liver mitochondria function.

Authors:  Evan G Williams; Yibo Wu; Pooja Jha; Sébastien Dubuis; Peter Blattmann; Carmen A Argmann; Sander M Houten; Tiffany Amariuta; Witold Wolski; Nicola Zamboni; Ruedi Aebersold; Johan Auwerx
Journal:  Science       Date:  2016-06-10       Impact factor: 47.728

5.  Detecting and annotating genetic variations using the HugeSeq pipeline.

Authors:  Hugo Y K Lam; Cuiping Pan; Michael J Clark; Phil Lacroute; Rui Chen; Rajini Haraksingh; Maeve O'Huallachain; Mark B Gerstein; Jeffrey M Kidd; Carlos D Bustamante; Michael Snyder
Journal:  Nat Biotechnol       Date:  2012-03-07       Impact factor: 54.908

6.  Plasma asymmetric dimethylarginine concentrations are elevated in obese insulin-resistant women and fall with weight loss.

Authors:  Tracey McLaughlin; Markus Stühlinger; Cindy Lamendola; Fahim Abbasi; Joan Bialek; Gerald M Reaven; Philip S Tsao
Journal:  J Clin Endocrinol Metab       Date:  2006-02-28       Impact factor: 5.958

7.  T-cell-expressed proprotein convertase furin is essential for maintenance of peripheral immune tolerance.

Authors:  Marko Pesu; Wendy T Watford; Lai Wei; Lili Xu; Ivan Fuss; Warren Strober; John Andersson; Ethan M Shevach; Martha Quezado; Nicolas Bouladoux; Anton Roebroek; Yasmine Belkaid; John Creemers; John J O'Shea
Journal:  Nature       Date:  2008-09-11       Impact factor: 49.962

Review 8.  Gut microbiota metabolism of L-carnitine and cardiovascular risk.

Authors:  John R Ussher; Gary D Lopaschuk; Arduino Arduini
Journal:  Atherosclerosis       Date:  2013-10-24       Impact factor: 5.162

9.  Gut microbiota from twins discordant for obesity modulate metabolism in mice.

Authors:  Vanessa K Ridaura; Jeremiah J Faith; Federico E Rey; Jiye Cheng; Alexis E Duncan; Andrew L Kau; Nicholas W Griffin; Vincent Lombard; Bernard Henrissat; James R Bain; Michael J Muehlbauer; Olga Ilkayeva; Clay F Semenkovich; Katsuhiko Funai; David K Hayashi; Barbara J Lyle; Margaret C Martini; Luke K Ursell; Jose C Clemente; William Van Treuren; William A Walters; Rob Knight; Christopher B Newgard; Andrew C Heath; Jeffrey I Gordon
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

Review 10.  The Emerging Role of Branched-Chain Amino Acids in Insulin Resistance and Metabolism.

Authors:  Mee-Sup Yoon
Journal:  Nutrients       Date:  2016-07-01       Impact factor: 5.717

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  72 in total

Review 1.  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

Review 2.  The Continuing Evolution of Precision Health in Type 2 Diabetes: Achievements and Challenges.

Authors:  Yuan Lin; Jennifer Wessel
Journal:  Curr Diab Rep       Date:  2019-02-26       Impact factor: 4.810

Review 3.  A systems approach to clinical oncology uses deep phenotyping to deliver personalized care.

Authors:  James T Yurkovich; Qiang Tian; Nathan D Price; Leroy Hood
Journal:  Nat Rev Clin Oncol       Date:  2019-10-16       Impact factor: 66.675

4.  Obesity-Induced Changes in T-Cell Metabolism Are Associated With Impaired Memory T-Cell Response to Influenza and Are Not Reversed With Weight Loss.

Authors:  Jennifer Rebeles; William D Green; Yazan Alwarawrah; Amanda G Nichols; William Eisner; Keiko Danzaki; Nancie J MacIver; Melinda A Beck
Journal:  J Infect Dis       Date:  2019-04-19       Impact factor: 5.226

Review 5.  The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models. Part II: Results.

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

6.  Macrophage de novo NAD+ synthesis specifies immune function in aging and inflammation.

Authors:  Paras S Minhas; Ling Liu; Peter K Moon; Amit U Joshi; Christopher Dove; Siddhita Mhatre; Kevin Contrepois; Qian Wang; Brittany A Lee; Michael Coronado; Daniel Bernstein; Michael P Snyder; Marie Migaud; Ravindra Majeti; Daria Mochly-Rosen; Joshua D Rabinowitz; Katrin I Andreasson
Journal:  Nat Immunol       Date:  2018-11-26       Impact factor: 25.606

7.  Epigenetics and Epigenomics: Implications for Diabetes and Obesity.

Authors:  Evan D Rosen; Klaus H Kaestner; Rama Natarajan; Mary-Elizabeth Patti; Richard Sallari; Maike Sander; Katalin Susztak
Journal:  Diabetes       Date:  2018-10       Impact factor: 9.461

8.  Proteins Altered by Surgical Weight Loss Highlight Biomarkers of Insulin Resistance in the Community.

Authors:  Ravi V Shah; Shih-Jen Hwang; Ashish Yeri; Kahraman Tanriverdi; Alexander R Pico; Chen Yao; Venkatesh Murthy; Jennifer Ho; Olga Vitseva; Danielle Demarco; Sajani Shah; Mark D Iafrati; Daniel Levy; Jane E Freedman
Journal:  Arterioscler Thromb Vasc Biol       Date:  2019-01       Impact factor: 8.311

9.  Artificial Intelligence and Personalized Medicine.

Authors:  Nicholas J Schork
Journal:  Cancer Treat Res       Date:  2019

Review 10.  Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures.

Authors:  Todd M Everson; Carmen J Marsit
Journal:  Curr Environ Health Rep       Date:  2018-09
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