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Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders

Nutrition plays a significant role in the increasing prevalence of metabolic and brain disorders. Here we employ systems nutrigenomics to scrutinize the genomic bases of nutrient–host interaction underlying disease predisposition or therapeutic potential. We conducted transcriptome and epigenome seq...

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Autores principales: Meng, Qingying, Ying, Zhe, Noble, Emily, Zhao, Yuqi, Agrawal, Rahul, Mikhail, Andrew, Zhuang, Yumei, Tyagi, Ethika, Zhang, Qing, Lee, Jae-Hyung, Morselli, Marco, Orozco, Luz, Guo, Weilong, Kilts, Tina M., Zhu, Jun, Zhang, Bin, Pellegrini, Matteo, Xiao, Xinshu, Young, Marian F., Gomez-Pinilla, Fernando, Yang, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909610/
https://www.ncbi.nlm.nih.gov/pubmed/27322469
http://dx.doi.org/10.1016/j.ebiom.2016.04.008
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author Meng, Qingying
Ying, Zhe
Noble, Emily
Zhao, Yuqi
Agrawal, Rahul
Mikhail, Andrew
Zhuang, Yumei
Tyagi, Ethika
Zhang, Qing
Lee, Jae-Hyung
Morselli, Marco
Orozco, Luz
Guo, Weilong
Kilts, Tina M.
Zhu, Jun
Zhang, Bin
Pellegrini, Matteo
Xiao, Xinshu
Young, Marian F.
Gomez-Pinilla, Fernando
Yang, Xia
author_facet Meng, Qingying
Ying, Zhe
Noble, Emily
Zhao, Yuqi
Agrawal, Rahul
Mikhail, Andrew
Zhuang, Yumei
Tyagi, Ethika
Zhang, Qing
Lee, Jae-Hyung
Morselli, Marco
Orozco, Luz
Guo, Weilong
Kilts, Tina M.
Zhu, Jun
Zhang, Bin
Pellegrini, Matteo
Xiao, Xinshu
Young, Marian F.
Gomez-Pinilla, Fernando
Yang, Xia
author_sort Meng, Qingying
collection PubMed
description Nutrition plays a significant role in the increasing prevalence of metabolic and brain disorders. Here we employ systems nutrigenomics to scrutinize the genomic bases of nutrient–host interaction underlying disease predisposition or therapeutic potential. We conducted transcriptome and epigenome sequencing of hypothalamus (metabolic control) and hippocampus (cognitive processing) from a rodent model of fructose consumption, and identified significant reprogramming of DNA methylation, transcript abundance, alternative splicing, and gene networks governing cell metabolism, cell communication, inflammation, and neuronal signaling. These signals converged with genetic causal risks of metabolic, neurological, and psychiatric disorders revealed in humans. Gene network modeling uncovered the extracellular matrix genes Bgn and Fmod as main orchestrators of the effects of fructose, as validated using two knockout mouse models. We further demonstrate that an omega-3 fatty acid, DHA, reverses the genomic and network perturbations elicited by fructose, providing molecular support for nutritional interventions to counteract diet-induced metabolic and brain disorders. Our integrative approach complementing rodent and human studies supports the applicability of nutrigenomics principles to predict disease susceptibility and to guide personalized medicine.
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spelling pubmed-49096102016-06-21 Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders Meng, Qingying Ying, Zhe Noble, Emily Zhao, Yuqi Agrawal, Rahul Mikhail, Andrew Zhuang, Yumei Tyagi, Ethika Zhang, Qing Lee, Jae-Hyung Morselli, Marco Orozco, Luz Guo, Weilong Kilts, Tina M. Zhu, Jun Zhang, Bin Pellegrini, Matteo Xiao, Xinshu Young, Marian F. Gomez-Pinilla, Fernando Yang, Xia EBioMedicine Research Paper Nutrition plays a significant role in the increasing prevalence of metabolic and brain disorders. Here we employ systems nutrigenomics to scrutinize the genomic bases of nutrient–host interaction underlying disease predisposition or therapeutic potential. We conducted transcriptome and epigenome sequencing of hypothalamus (metabolic control) and hippocampus (cognitive processing) from a rodent model of fructose consumption, and identified significant reprogramming of DNA methylation, transcript abundance, alternative splicing, and gene networks governing cell metabolism, cell communication, inflammation, and neuronal signaling. These signals converged with genetic causal risks of metabolic, neurological, and psychiatric disorders revealed in humans. Gene network modeling uncovered the extracellular matrix genes Bgn and Fmod as main orchestrators of the effects of fructose, as validated using two knockout mouse models. We further demonstrate that an omega-3 fatty acid, DHA, reverses the genomic and network perturbations elicited by fructose, providing molecular support for nutritional interventions to counteract diet-induced metabolic and brain disorders. Our integrative approach complementing rodent and human studies supports the applicability of nutrigenomics principles to predict disease susceptibility and to guide personalized medicine. Elsevier 2016-04-13 /pmc/articles/PMC4909610/ /pubmed/27322469 http://dx.doi.org/10.1016/j.ebiom.2016.04.008 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Meng, Qingying
Ying, Zhe
Noble, Emily
Zhao, Yuqi
Agrawal, Rahul
Mikhail, Andrew
Zhuang, Yumei
Tyagi, Ethika
Zhang, Qing
Lee, Jae-Hyung
Morselli, Marco
Orozco, Luz
Guo, Weilong
Kilts, Tina M.
Zhu, Jun
Zhang, Bin
Pellegrini, Matteo
Xiao, Xinshu
Young, Marian F.
Gomez-Pinilla, Fernando
Yang, Xia
Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title_full Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title_fullStr Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title_full_unstemmed Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title_short Systems Nutrigenomics Reveals Brain Gene Networks Linking Metabolic and Brain Disorders
title_sort systems nutrigenomics reveals brain gene networks linking metabolic and brain disorders
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909610/
https://www.ncbi.nlm.nih.gov/pubmed/27322469
http://dx.doi.org/10.1016/j.ebiom.2016.04.008
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