Literature DB >> 31669422

Differential metabolic and multi-tissue transcriptomic responses to fructose consumption among genetically diverse mice.

Guanglin Zhang1, Hyae Ran Byun1, Zhe Ying1, Montgomery Blencowe1, Yuqi Zhao1, Jason Hong1, Le Shu1, Karthick Chella Krishnan2, Fernando Gomez-Pinilla3, Xia Yang4.   

Abstract

Understanding how individuals react differently to the same treatment is a major concern in precision medicine. Metabolic challenges such as the one posed by high fructose intake are important determinants of disease mechanisms. We embarked on studies to determine how fructose affects differential metabolic dysfunctions across genetically dissimilar mice, namely, C57BL/6 J (B6), DBA/2 J (DBA) and FVB/NJ (FVB), by integrating physiological and gene regulatory mechanisms. We report that fructose has strain-specific effects, involving tissue-specific gene regulatory cascades in hypothalamus, liver, and white adipose tissues. DBA mice showed the largest numbers of genes associated with adiposity, congruent with their highest susceptibility to adiposity gain and glucose intolerance across the three tissues. In contrast, B6 and FVB mainly exhibited cholesterol phenotypes, accompanying the largest number of adipose genes correlating with total cholesterol in B6, and liver genes correlating with LDL in FVB mice. Tissue-specific network modeling predicted strain-and tissue-specific regulators such as Fgf21 (DBA) and Lss (B6), which were subsequently validated in primary hepatocytes. Strain-specific fructose-responsive genes revealed susceptibility for human diseases such that genes in liver and adipose tissue in DBA showed strong enrichment for human type 2 diabetes and obesity traits. Liver and adipose genes in FVB were mostly related to lipid traits, and liver and adipose genes in B6 showed relevance to most cardiometabolic traits tested. Our results show that fructose induces gene regulatory pathways that are tissue specific and dependent on the genetic make-up, which may underlie interindividual variability in cardiometabolic responses to high fructose consumption.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fructose; Insulin resistance; Metabolic syndrome; Obesity; Personalized nutrition; Transcriptome

Mesh:

Substances:

Year:  2019        PMID: 31669422      PMCID: PMC6993985          DOI: 10.1016/j.bbadis.2019.165569

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Basis Dis        ISSN: 0925-4439            Impact factor:   5.187


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