Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease

Tuulia Hyötyläinen, Livnat Jerby, Elina M. Petäjä, Ismo Mattila, Sirkku Jäntti, Petri Auvinen, Amalia Gastaldelli, Hannele Yki-Järvinen, Eytan Ruppin (Corresponding Author), Matej Orešič (Corresponding Author)

Research output: Contribution to journalArticleScientificpeer-review

83 Citations (Scopus)

Abstract

Non-alcoholic fatty liver disease (NAFLD) is a major risk factor leading to chronic liver disease and type 2 diabetes. Here we chart liver metabolic activity and functionality in NAFLD by integrating global transcriptomic data, from human liver biopsies, and metabolic flux data, measured across the human splanchnic vascular bed, within a genome-scale model of human metabolism. We show that an increased amount of liver fat induces mitochondrial metabolism, lipolysis, glyceroneogenesis and a switch from lactate to glycerol as substrate for gluconeogenesis, indicating an intricate balance of exacerbated opposite metabolic processes in glycemic regulation. These changes were associated with reduced metabolic adaptability on a network level in the sense that liver fat accumulation puts increasing demands on the liver to adaptively regulate metabolic responses to maintain basic liver functions. We propose that failure to meet excessive metabolic challenges coupled with reduced metabolic adaptability may lead to a vicious pathogenic cycle leading to the co-morbidities of NAFLD.
Original languageEnglish
Article number8994
JournalNature Communications
Volume7
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Medical research
  • Metabolism
  • non-alcoholic fatty liver disease
  • Transcriptomics

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