Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

Brian D. Piening; Wenyu Zhou; Kevin Contrepois; Hannes Rost; Gucci Jijuan Gu Urban; Tejaswini Mishra; Blake M. Hanson; Eddy J. Bautista; Shana Leopold; Christine Y. Yeh; Daniel Spakowicz; Imon Banerjee; Cynthia Chen; Kimberly Kukurba; Dalia Perelman; Colleen Craig; Elizabeth Colbert; Denis Salins; Shannon Rego; Sunjae Lee; Cheng Zhang; Jessica Wheeler; M. Reza Sailani; Liang Liang; Charles Abbott; Mark Gerstein; Adil Mardinoglu; Ulf Smith; Daniel L. Rubin; Sharon Pitteri; Erica Sodergren; Tracey L. McLaughlin; George M. Weinstock; Michael P. Snyder

doi:10.1016/j.cels.2017.12.013

Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

Brian D. Piening
, Wenyu Zhou
, Kevin Contrepois
, Hannes Rost
, Gucci Jijuan Gu Urban
, Tejaswini Mishra
, Blake M. Hanson
, Eddy J. Bautista
, Shana Leopold
, Christine Y. Yeh
, Daniel Spakowicz
, Imon Banerjee
, Cynthia Chen
, Kimberly Kukurba
, Dalia Perelman
, Colleen Craig
, Elizabeth Colbert
, Denis Salins
, Shannon Rego
, Sunjae Lee

Cheng Zhang, Jessica Wheeler, M. Reza Sailani, Liang Liang, Charles Abbott, Mark Gerstein, Adil Mardinoglu, Ulf Smith, Daniel L. Rubin, Sharon Pitteri, Erica Sodergren, Tracey L. McLaughlin, George M. Weinstock, Michael P. Snyder

Research output: Contribution to journal › Article › peer-review

169 Citations (Scopus)

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.

Original language	English
Pages (from-to)	157-170.e8
Journal	Cell Systems
Volume	6
Issue number	2
Early online date	17 Jan 2018
DOIs	https://doi.org/10.1016/j.cels.2017.12.013
Publication status	Published - 28 Feb 2018

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Piening, B. D., Zhou, W., Contrepois, K., Rost, H., Urban, G. J. G., Mishra, T., Hanson, B. M., Bautista, E. J., Leopold, S., Yeh, C. Y., Spakowicz, D., Banerjee, I., Chen, C., Kukurba, K., Perelman, D., Craig, C., Colbert, E., Salins, D., Rego, S., ... Snyder, M. P. (2018). Integrative Personal Omics Profiles during Periods of Weight Gain and Loss. Cell Systems, 6(2), 157-170.e8. https://doi.org/10.1016/j.cels.2017.12.013

@article{84b4b018244340b6aebc8967a52578ad,

title = "Integrative Personal Omics Profiles during Periods of Weight Gain and Loss",

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.",

author = "Piening, \{Brian D.\} and Wenyu Zhou and Kevin Contrepois and Hannes Rost and Urban, \{Gucci Jijuan Gu\} and Tejaswini Mishra and Hanson, \{Blake M.\} and Bautista, \{Eddy J.\} and Shana Leopold and Yeh, \{Christine Y.\} and Daniel Spakowicz and Imon Banerjee and Cynthia Chen and Kimberly Kukurba and Dalia Perelman and Colleen Craig and Elizabeth Colbert and Denis Salins and Shannon Rego and Sunjae Lee and Cheng Zhang and Jessica Wheeler and Sailani, \{M. Reza\} and Liang Liang and Charles Abbott and Mark Gerstein and Adil Mardinoglu and Ulf Smith and Rubin, \{Daniel L.\} and Sharon Pitteri and Erica Sodergren and McLaughlin, \{Tracey L.\} and Weinstock, \{George M.\} and Snyder, \{Michael P.\}",

year = "2018",

month = feb,

day = "28",

doi = "10.1016/j.cels.2017.12.013",

language = "English",

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pages = "157--170.e8",

journal = "Cell Systems",

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Piening, BD, Zhou, W, Contrepois, K, Rost, H, Urban, GJG, Mishra, T, Hanson, BM, Bautista, EJ, Leopold, S, Yeh, CY, Spakowicz, D, Banerjee, I, Chen, C, Kukurba, K, Perelman, D, Craig, C, Colbert, E, Salins, D, Rego, S, Lee, S, Zhang, C, Wheeler, J, Sailani, MR, Liang, L, Abbott, C, Gerstein, M, Mardinoglu, A, Smith, U, Rubin, DL, Pitteri, S, Sodergren, E, McLaughlin, TL, Weinstock, GM & Snyder, MP 2018, 'Integrative Personal Omics Profiles during Periods of Weight Gain and Loss', Cell Systems, vol. 6, no. 2, pp. 157-170.e8. https://doi.org/10.1016/j.cels.2017.12.013

TY - JOUR

T1 - Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

AU - Piening, Brian D.

AU - Zhou, Wenyu

AU - Contrepois, Kevin

AU - Rost, Hannes

AU - Urban, Gucci Jijuan Gu

AU - Mishra, Tejaswini

AU - Hanson, Blake M.

AU - Bautista, Eddy J.

AU - Leopold, Shana

AU - Yeh, Christine Y.

AU - Spakowicz, Daniel

AU - Banerjee, Imon

AU - Chen, Cynthia

AU - Kukurba, Kimberly

AU - Perelman, Dalia

AU - Craig, Colleen

AU - Colbert, Elizabeth

AU - Salins, Denis

AU - Rego, Shannon

AU - Lee, Sunjae

AU - Zhang, Cheng

AU - Wheeler, Jessica

AU - Sailani, M. Reza

AU - Liang, Liang

AU - Abbott, Charles

AU - Gerstein, Mark

AU - Mardinoglu, Adil

AU - Smith, Ulf

AU - Rubin, Daniel L.

AU - Pitteri, Sharon

AU - Sodergren, Erica

AU - McLaughlin, Tracey L.

AU - Weinstock, George M.

AU - Snyder, Michael P.

PY - 2018/2/28

Y1 - 2018/2/28

N2 - 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.

AB - 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.

U2 - 10.1016/j.cels.2017.12.013

DO - 10.1016/j.cels.2017.12.013

M3 - Article

SN - 2405-4712

VL - 6

SP - 157-170.e8

JO - Cell Systems

JF - Cell Systems

IS - 2

ER -

Integrative Personal Omics Profiles during Periods of Weight Gain and Loss

Abstract

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