Summary of Study ST000915

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000633. The data can be accessed directly via it's Project DOI: 10.21228/M8V961 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files
Study IDST000915
Study TitleBiomarkers of NAFLD progression: a lipidomics approach to an epidemic. Part 1:Liver
Study TypeLipidomics Study
Study SummaryThe spectrum of nonalcoholic fatty liver disease (NAFLD) includes steatosis, nonalcoholic steatohepatitis (NASH), and cirrhosis. Recognition and timely diagnosis of these different stages, particularly NASH, is important for both potential reversibility and limitation of complications. Liver biopsy remains the clinical standard for definitive diagnosis. Diagnostic tools minimizing the need for invasive procedures or that add information to histologic data are important in novel management strategies for the growing epidemic of NAFLD. We describe an 'omics' approach to detecting a reproducible signature of lipid metabolites, aqueous intracellular metabolites, SNPs, and mRNA transcripts in a double-blinded study of patients with different stages of NAFLD that involves profiling liver biopsies, plasma, and urine samples. Using linear discriminant analysis, a panel of 20 plasma metabolites that includes glycerophospholipids, sphingolipids, sterols, and various aqueous small molecular weight components involved in cellular metabolic pathways, can be used to differentiate between NASH and steatosis. This identification of differential biomolecular signatures has the potential to improve clinical diagnosis and facilitate therapeutic intervention of NAFLD.
Institute
LIPID MAPS
DepartmentBioengineering
Last NameFahy
First NameEoin
Address9500 Gilman, La Jolla, CA, 92093, USA
Emailefahy@ucsd.edu
Phone858-534-4076
Submit Date2018-01-14
Publicationshttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340319/
Analysis Type DetailGC/LC-MS
Release Date2018-04-05
Release Version1
Eoin Fahy Eoin Fahy
https://dx.doi.org/10.21228/M8V961
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Treatment:

Treatment ID:TR000967
Treatment Summary:-
  logo