Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

被引:155
作者
Piening, Brian D. [1 ]
Zhou, Wenyu [1 ]
Contrepois, Kevin [1 ]
Rost, Hannes [1 ]
Urban, Gucci Jijuan Gu [1 ,10 ]
Mishra, Tejaswini [1 ]
Hanson, Blake M. [2 ]
Bautista, Eddy J. [2 ,15 ]
Leopold, Shana [2 ]
Yeh, Christine Y. [1 ,4 ,5 ,11 ]
Spakowicz, Daniel [2 ]
Banerjee, Imon [12 ]
Chen, Cynthia [12 ]
Kukurba, Kimberly [1 ]
Perelman, Dalia [3 ]
Craig, Colleen [3 ]
Colbert, Elizabeth [3 ]
Salins, Denis [1 ]
Rego, Shannon [1 ]
Lee, Sunjae [7 ]
Zhang, Cheng [7 ]
Wheeler, Jessica [1 ]
Sailani, M. Reza [1 ]
Liang, Liang [1 ]
Abbott, Charles [1 ]
Gerstein, Mark [6 ,13 ,14 ]
Mardinoglu, Adil [7 ,8 ]
Smith, Ulf [9 ]
Rubin, Daniel L. [12 ]
Pitteri, Sharon [4 ,5 ]
Sodergren, Erica [2 ]
McLaughlin, Tracey L. [3 ]
Weinstock, George M. [2 ]
Snyder, Michael P. [1 ]
机构
[1] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA
[2] Jackson Lab Genom Med, Farmington, CT 06032 USA
[3] Stanford Univ, Div Endocrinol, Sch Med, Stanford, CA 94305 USA
[4] Stanford Univ, Dept Radiol, Sch Med, Stanford, CA 94305 USA
[5] Stanford Univ, Canary Ctr Stanford, Sch Med, Stanford, CA 94305 USA
[6] Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT USA
[7] KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden
[8] Chalmers Univ Technol, Dept Biol & Biol Engn, Gothenburg, Sweden
[9] Univ Gothenburg, Dept Mol & Clin Med, Gothenburg, Sweden
[10] Uppsala Univ, Dept Immunol Genet & Pathol, Uppsala, Sweden
[11] Stanford Univ, Biomed Informat Program, Sch Med, Stanford, CA 94305 USA
[12] Stanford Univ, Dept Biomed Data Sci, Sch Med, Stanford, CA 94305 USA
[13] Yale Univ, Dept Comp Sci, POB 2158, New Haven, CT 06520 USA
[14] Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT USA
[15] Corp Invest & Agr Corpoica, Ctr Invest Tibaitata, Mosquera, Colombia
基金
瑞士国家科学基金会; 瑞典研究理事会;
关键词
HIGH-FAT DIET; MEDIATED GLUCOSE DISPOSAL; INSULIN SUPPRESSION TEST; ADIPOSE-CELL SIZE; LARGE GENE LISTS; GUT MICROBIOTA; SUBCLINICAL INFLAMMATION; AKKERMANSIA-MUCINIPHILA; OXALOBACTER-FORMIGENES; METABOLIC SYNDROME;
D O I
10.1016/j.cels.2017.12.013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:157 / +
页数:22
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