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Journal of Hepatology
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Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

Authors: Maja Thiele; Ida Falk Villesen; Lili Niu; Stine Johansen; Karolina Sulek; Suguru Nishijima; Lore Van Espen; +38 Authors

Opportunities and barriers in omics-based biomarker discovery for steatotic liver diseases

Abstract

The rising prevalence of liver diseases related to obesity and excessive use of alcohol is fuelling an increasing demand for accurate biomarkers aimed at community screening, diagnosis of steatohepatitis and significant fibrosis, monitoring, prognostication and prediction of treatment efficacy. Breakthroughs in omics methodologies and the power of bioinformatics have created an excellent opportunity to apply technological advances to clinical needs, for instance in the development of precision biomarkers for personalised medicine. Via omics technologies, biological processes from the genes to circulating protein, as well as the microbiome - including bacteria, viruses and fungi, can be investigated on an axis. However, there are important barriers to omics-based biomarker discovery and validation, including the use of semi-quantitative measurements from untargeted platforms, which may exhibit high analytical, inter- and intra-individual variance. Standardising methods and the need to validate them across diverse populations presents a challenge, partly due to disease complexity and the dynamic nature of biomarker expression at different disease stages. Lack of validity causes lost opportunities when studies fail to provide the knowledge needed for regulatory approvals, all of which contributes to a delayed translation of these discoveries into clinical practice. While no omics-based biomarkers have matured to clinical implementation, the extent of data generated has enabled the hypothesis-free discovery of a plethora of candidate biomarkers that warrant further validation. To explore the many opportunities of omics technologies, hepatologists need detailed knowledge of commonalities and differences between the various omics layers, and both the barriers to and advantages of these approaches.

Keywords

Proteomics, viromics, microbiome, ALCOHOL, Biomarkers/analysis, GUT MICROBIOME, VALIDATION, 1117 Public Health and Health Services, VIROME, proteomics, proteomics., Genetics, Metabolomics/methods, FIBROSIS, Humans, Metabolomics, genetics, GENOME-WIDE ASSOCIATION, GALAXY consortium, Fatty Liver/diagnosis, metagenomics, Science & Technology, metatranscriptomics, Gastroenterology & Hepatology, Non-invasive test, NONALCOHOLIC STEATOHEPATITIS, 3202 Clinical sciences, INCREASED INTESTINAL PERMEABILITY, 1103 Clinical Sciences, Genomics, metabolomics, Genomics/methods, Fatty Liver, SYSTEMS BIOLOGY, lipidomics, MicrobLiver consortium, Viromics, MULTI-OMICS, Metagenomics, Microbiome, Proteomics/methods, Life Sciences & Biomedicine, Biomarkers

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Average
Top 10%
Green
hybrid