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Biomarkers of NAFLD progression: a lipidomics approach to an epidemic

Authors :
Michelle D. Armstrong
Alfred H. Merrill
Aaron M. Armando
Jingjing Duan
Shankar Subramaniam
Edward A. Dennis
Joseph L. Witztum
Stephen B. Milne
Nathanael J. Spann
Chijun Li
M. Kay Washington
Thomas P. Mathews
Jun Min
Shakti Gupta
Ronald H. Clements
Eoin Fahy
David W. Russell
M. Cameron Sullards
Mano Ram Maurya
D. Lee Gorden
Robert M. Barkley
Willie Melvin
David S. Myers
Ziqiang Guan
H. Alex Brown
Robert C. Murphy
Thomas J. Leiker
Oswald Quehenberger
Pavlina T. Ivanova
Jeffrey G. McDonald
Christopher K. Glass
Alisha M. Mendonsa
Samuel Kelly
Source :
Journal of lipid research, vol 56, iss 3
Publication Year :
2015
Publisher :
eScholarship, University of California, 2015.

Abstract

The 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.

Details

Database :
OpenAIRE
Journal :
Journal of lipid research, vol 56, iss 3
Accession number :
edsair.doi.dedup.....69c6c012d2c1e66caacbe446bcc36818