A quantitative metabolomics profiling approach for the noninvasive assessment of liver histology in patients with chronic hepatitis C.
2016
Background
High-throughput technologies have the potential to identify non-invasive biomarkers of liver pathology and improve our understanding of basic mechanisms of liver injury and repair. A metabolite profiling approach was employed to determine associations between alterations in serum metabolites and liver histology in patients with chronic hepatitis C virus (HCV) infection.
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