New targets for drugs to treat fatty liver disease and liver cancer
- Date:
- August 21, 2017
- Source:
- KTH The Royal Institute of Technology
- Summary:
- There may no silver bullet for treating liver cancer or fatty liver disease, but knowing the right targets will help science develop the most effective treatments. Researchers have just identified a number of drug targets that can be used in the development of new efficient treatment strategies with minimum side effects.
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There may no silver bullet for treating liver cancer or fatty liver disease, but knowing the right targets will help science develop the most effective treatments. Researchers in Sweden have just identified a number of drug targets that can be used in the development of new efficient treatment strategies with minimum side effects.
Researchers from KTH Royal Institute of Technology’s Science for Life Laboratory (SciLifeLab) research center and Gothenburg University employed the biological networks generated for 46 major human tissues in order to identify the liver-specific gene targets.
The results were published in Molecular Systems Biology, an EMBO Press Journal.
The researchers mapped the metabolic changes caused by accumulated fat in liver cells, and combined this data with an analysis of biological networks of liver and other human tissues. Doing so enabled them to identify the liver-specific drug targets whose inhibition will not cause any side effect to other human tissues, says lead author Adil Mardinoglu, a SciLifeLab fellow, who had earlier established a connection between NAFLD and HCC and increased fat synthesis in liver tissue.
Hepatic steatosis is defined as the excessive accumulation of fat in the liver and it is the key characteristic of non-alcoholic fatty liver disease (NAFLD). It is one of the most common chronic liver problems in the world and affects almost 30 percent of the adult population. The disease is the consequence of obesity, diabetes, or excessive alcohol intake and can lead to non-alcoholic steatohepatitis (NASH), cirrhosis, liver cancer and even hepatic failure. There are few treatments, even though the need is urgent.
Mardinoglu says the team’s network modeling approach, which relied on data from the Sweden-based Human Protein Atlas project and The Genotype-Tissue Expression (GTEx) project consortia, can be used in the identification of drug targets and eventually in the development of efficient strategies for treating a number of chronic liver diseases.
To validate their computer modeling predictions, researchers performed experiments in human cancer cell lines, mouse liver samples and primary human hepatocytes. They validated their predictions by demonstrating functional relationships between these liver gene, and showed that their inhibition decreases cell growth and liver fat content, Mardinoglu says.
The researchers identified liver-specific genes linked to NAFLD pathogenesis, such as pyruvate kinase liver and red blood cell, (PKLR), or to HCC pathogenesis, such as PKLR, patatin-like phospholipase domain containing 3 (PNPLA3) and proprotein convertase subtilisin/kexin type 9 (PCSK9), all of which are potential targets for drug development.
Mathias Uhlen, director of the Human Protein Atlas project and co-author of the paper, says: “I am extremely pleased that the resource created through the Human Protein Atlas effort has been used in the analysis of clinical data obtained from liver disease patients and that this analysis has led to the identification of liver-specific drug targets that can be used for treatment of this clinically important patient group.”
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Materials provided by KTH The Royal Institute of Technology. Note: Content may be edited for style and length.
Journal Reference:
- Sunjae Lee, Cheng Zhang, Zhengtao Liu, Martina Klevstig, Bani Mukhopadhyay, Mattias Bergentall, Resat Cinar, Marcus Ståhlman, Natasha Sikanic, Joshua K Park, Sumit Deshmukh, Azadeh M Harzandi, Tim Kuijpers, Morten Grøtli, Simon J Elsässer, Brian D Piening, Michael Snyder, Ulf Smith, Jens Nielsen, Fredrik Bäckhed, George Kunos, Mathias Uhlen, Jan Boren, Adil Mardinoglu. Network analyses identify liver‐specific targets for treating liver diseases. Molecular Systems Biology, 2017; 13 (8): 938 DOI: 10.15252/msb.20177703
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