A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic liver disease
Journal article, 2021

Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease worldwide. We performed network analysis to investigate the dysregulated biological processes in the disease progression and revealed the molecular mechanism underlying NAFLD. Based on network analysis, we identified a highly conserved disease-associated gene module across three different NAFLD cohorts and highlighted the predominant role of key transcriptional regulators associated with lipid and cholesterol metabolism. In addition, we revealed the detailed metabolic differences between heterogeneous NAFLD patients through integrative systems analysis of transcriptomic data and liver-specific genomescale metabolic model. Furthermore, we identified transcription factors (TFs), including SREBF2, HNF4A, SREBF1, YY1, and KLF13, showing regulation of hepatic expression of genes in the NAFLD-associated modules and validated the TFs using data generated from a mouse NAFLD model. In conclusion, our integrative analysis facilitates the understanding of the regulatory mechanism of these perturbed TFs and their associated biological processes.

Author

Hong Yang

Royal Institute of Technology (KTH)

Muhammad Arif

Royal Institute of Technology (KTH)

Meng Yuan

Royal Institute of Technology (KTH)

Xiangyu Li

Royal Institute of Technology (KTH)

Koeun Shong

Royal Institute of Technology (KTH)

Hasan Turkez

Atatürk University

Jens B Nielsen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

BioInnovation Institute

Mathias Uhlen

Royal Institute of Technology (KTH)

Jan Boren

University of Gothenburg

C. Zhang

Royal Institute of Technology (KTH)

Zhengzhou University

Adil Mardinoglu

King's College London

Royal Institute of Technology (KTH)

iScience

25890042 (eISSN)

Vol. 24 11 103222

Subject Categories

Medical Genetics

Bioinformatics and Systems Biology

Genetics

DOI

10.1016/j.isci.2021.103222

PubMed

34712920

More information

Latest update

3/21/2023