| Literature DB >> 27764764 |
Ryan D Sheldon1,2, Kayla M Kanosky1,3,2, Kevin D Wells4, Lili Miles5, James W Perfield2,6, Stavra Xanthakos5, Thomas H Inge5, R Scott Rector7,3,2.
Abstract
Mechanisms responsible for progression of nonalcoholic fatty liver disease (NAFLD) to steatohepatitis (NASH) remain poorly defined. To examine the potential contribution of adipose tissue to NAFLD progression, we performed a complete transcriptomic analysis using RNA sequencing (RNA-Seq) on intra-abdominal adipose tissue (IAT) from severely obese adolescents [Mage 16.9 ± 0.4 yr, body mass index (BMI) z-score 2.7 ± 0.1] undergoing bariatric surgery and liver biopsy categorized into three groups: no steatosis (normal, n = 8), steatosis only (n = 13), or NASH (n = 10) by liver histology. Age, body weight, and BMI did not differ among groups, but subjects with NASH were more insulin resistant (increased homeostatic model assessment/insulin resistance, P < 0.05 vs. other groups). RNA-Seq revealed 175 up- and 492 downregulated mRNA transcripts (≥±1.5-fold, false discovery rate <0.10) in IAT between NASH vs. Normal, with "mitochondrial dysfunction, P = 4.19E-7" being the top regulated canonical pathway identified by Ingenuity Pathway Analysis; only 19 mRNA transcripts were up- and 148 downregulated when comparing Steatosis vs. Normal, with suppression of "EIF2 signaling, P = 1.79E-27" being the top regulated pathway indicating increased cellular stress. A comparison of IAT between NASH vs. Steatosis found 515 up- and 175 downregulated genes, with "antigen presentation, P = 6.03E-18" being the top regulated canonical pathway and "inflammatory response" the top diseases and disorders function. Unique transcriptomic differences exist in IAT from severely obese adolescents with distinct stages of NAFLD, providing an important resource for identifying potential novel therapeutic targets for childhood NASH.Entities:
Keywords: RNA-Seq; childhood obesity; gene expression; inflammation; transcriptome; visceral adipose tissue
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Year: 2016 PMID: 27764764 PMCID: PMC5206389 DOI: 10.1152/physiolgenomics.00020.2016
Source DB: PubMed Journal: Physiol Genomics ISSN: 1094-8341 Impact factor: 3.107