title: Liquid chromatography-mass spectrometry-based parallel metabolic profiling of human and mouse model serum reveals putative biomarkers associated with the progression of nonalcoholic fatty liver disease.
abstract: Nonalcoholic fatty liver disease (NAFLD) is the most common form of chronic liver disease in most western countries. Current NAFLD diagnosis methods (e.g., liver biopsy analysis or imaging techniques) are poorly suited as tests for such a prevalent condition, from both a clinical and financial point of view. The present work aims to demonstrate the potential utility of serum metabolic profiling in defining phenotypic biomarkers that could be useful in NAFLD management. A parallel animal model/human NAFLD exploratory metabolomics approach was employed, using ultra performance liquid chromatography-mass spectrometry (UPLC-MS) to analyze 42 serum samples collected from nondiabetic, morbidly obese, biopsy-proven NAFLD patients, and 17 animals belonging to the glycine N-methyltransferase knockout (GNMT-KO) NAFLD mouse model. Multivariate statistical analysis of the data revealed a series of common biomarkers that were significantly altered in the NAFLD (GNMT-KO) subjects in comparison to their normal liver counterparts (WT). Many of the compounds observed could be associated with biochemical perturbations associated with liver dysfunction (e.g., reduced Creatine) and inflammation (e.g., eicosanoid signaling). This differential metabolic phenotyping approach may have a future role as a supplement for clinical decision making in NAFLD and in the adaption to more individualized treatment protocols.
authors.affiliation: OWL Genomics, Bizkaia Technology Park, 48160-Derio, Bizkaia, Spain.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Barr
authors.forename: Mercedes
authors.initials: M
authors.lastname: Vázquez-Chantada
authors.forename: Cristina
authors.initials: C
authors.lastname: Alonso
authors.forename: Miriam
authors.initials: M
authors.lastname: Pérez-Cormenzana
authors.forename: Rebeca
authors.initials: R
authors.lastname: Mayo
authors.forename: Asier
authors.initials: A
authors.lastname: Galán
authors.forename: Juan
authors.initials: J
authors.lastname: Caballería
authors.forename: Antonio
authors.initials: A
authors.lastname: Martín-Duce
authors.forename: Albert
authors.initials: A
authors.lastname: Tran
authors.forename: Conrad
authors.initials: C
authors.lastname: Wagner
authors.forename: Zigmund
authors.initials: Z
authors.lastname: Luka
authors.forename: Shelly C
authors.initials: SC
authors.lastname: Lu
authors.forename: Azucena
authors.initials: A
authors.lastname: Castro
authors.forename: Yannick
authors.initials: Y
authors.lastname: Le Marchand-Brustel
authors.forename: M Luz
authors.initials: ML
authors.lastname: Martínez-Chantar
authors.forename: Nicolas
authors.initials: N
authors.lastname: Veyrie
authors.forename: Karine
authors.initials: K
authors.lastname: Clément
authors.forename: Joan
authors.initials: J
authors.lastname: Tordjman
authors.forename: Philippe
authors.initials: P
authors.lastname: Gual
authors.forename: José M
authors.initials: JM
authors.lastname: Mato
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000097:blood; D002853:Chromatography, Liquid / Q000379:methods*; D004195:Disease Models, Animal; D018450:Disease Progression; D005234:Fatty Liver / Q000097:blood; D050938:Glycine N-Methyltransferase / Q000235:genetics; D006801:Humans; D050356:Lipid Metabolism; D008297:Male; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D051379:Mice; D018345:Mice, Knockout; D015999:Multivariate Analysis; D065626:Non-alcoholic Fatty Liver Disease; D025341:Principal Component Analysis
chemical_list: D015415:Biomarkers; D050938:Glycine N-Methyltransferase; C494511:Gnmt protein, mouse