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  Defining NASH from a Multi-Omics Systems Biology Perspective

Niu, L., Sulek, K., Vasilopoulou, C. G., Santos, A., Wewer Albrechtsen, N. J., Rasmussen, S., et al. (2021). Defining NASH from a Multi-Omics Systems Biology Perspective. Journal of Clinical Medicine, 10(20): 4673. doi:10.3390/jcm10204673.

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 Creators:
Niu, Lili1, Author           
Sulek, Karolina2, Author
Vasilopoulou, Catherine G.1, Author           
Santos, Alberto2, Author
Wewer Albrechtsen, Nicolai J.2, Author
Rasmussen, Simon2, Author
Meier, Florian1, Author           
Mann, Matthias1, Author           
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2external, ou_persistent22              

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Free keywords: FATTY LIVER-DISEASE; PLASMA PROTEOME DATABASE; TOTAL LIPID EXTRACTION; MASS-SPECTROMETRY; NONALCOHOLIC STEATOHEPATITIS; AMINO-ACID; RNA-SEQ; METABOLOMICS; SERUM; CHROMATOGRAPHYGeneral & Internal Medicine; biomarker discovery; liver disease; machine learning; multi-omics; NAFLD; systems biology;
 Abstract: Non-alcoholic steatohepatitis (NASH) is a chronic liver disease affecting up to 6.5% of the general population. There is no simple definition of NASH, and the molecular mechanism underlying disease pathogenesis remains elusive. Studies applying single omics technologies have enabled a better understanding of the molecular profiles associated with steatosis and hepatic inflammation-the commonly accepted histologic features for diagnosing NASH, as well as the discovery of novel candidate biomarkers. Multi-omics analysis holds great potential to uncover new insights into disease mechanism through integrating multiple layers of molecular information. Despite the technical and computational challenges associated with such efforts, a few pioneering studies have successfully applied multi-omics technologies to investigate NASH. Here, we review the most recent technological developments in mass spectrometry (MS)-based proteomics, metabolomics, and lipidomics. We summarize multi-omics studies and emerging omics biomarkers in NASH and highlight the biological insights gained through these integrated analyses.</p>

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: 22
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000713802300001
DOI: 10.3390/jcm10204673
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Title: Journal of Clinical Medicine
Source Genre: Journal
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Publ. Info: Basel : MDPI
Pages: - Volume / Issue: 10 (20) Sequence Number: 4673 Start / End Page: - Identifier: ISSN: 2077-0383
CoNE: https://pure.mpg.de/cone/journals/resource/2077-0383