Publication date: Available online 12 December 2017
Source:Translational Research
Author(s): Ayse L. Mindikoglu, Antone R. Opekun, Nagireddy Putluri, Sridevi Devaraj, David Sheikh-Hamad, John M. Vierling, John A. Goss, Abbas Rana, Gagan K. Sood, Prasun K. Jalal, Lesley A. Inker, Robert P. Mohney, Hocine Tighiouart, Robert H. Christenson, Thomas C. Dowling, Matthew R. Weir, Stephen L. Seliger, William R. Hutson, Charles D. Howell, Jean-Pierre Raufman, Laurence S. Magder, Cristian Coarfa
The application of non-targeted metabolomic profiling has recently become a powerful non-invasive tool to discover new clinical biomarkers. This study aimed to identify metabolic pathways that could be exploited for prognostic and therapeutic purposes in hepatorenal dysfunction in cirrhosis. One hundred three subjects with cirrhosis had glomerular filtration rate (GFR) measured using iothalamate plasma clearance, and were followed until death, transplantation, or the last encounter. Concomitantly, plasma metabolomic profiling was performed using ultra-performance liquid chromatography/tandem mass spectrometry to identify preliminary metabolomic biomarker candidates. Among the 1028 metabolites identified, 34 were significantly increased in subjects with high liver and kidney disease severity compared to those with low liver and kidney disease severity. The highest average fold-change (2.39) was for 4-acetamidobutanoate. Metabolite-based enriched pathways were significantly associated with the identified metabolomic signature (P values ranged from 2.07E-06 to 0.02919). Ascorbate and aldarate metabolism, methylation, and glucuronidation were among the most significant protein-based enriched pathways associated with this metabolomic signature (P values ranged from 1.09E-18 to 7.61E-05). Erythronate had the highest association with measured GFR (R-square=0.571, P<0.0001). Erythronate (R=0.594, P<0.0001) and N6-carbamoylthreonyladenosine (R=0.591, P<0.0001) showed stronger associations with measured GFR compared to Cr (R=0.588, P<0.0001) even after controlling for age, gender and race. The 5 most significant metabolites that predicted mortality independent of kidney disease and demographics were S-adenosylhomocysteine (P=0.0003), glucuronate (P=0.0006), trans-aconitate (P=0.0018), 3-ureidopropionate (P=0.0021), and 3-(4-hydroxyphenyl)lactate (P=0.0047). A unique metabolomic signature associated with hepatorenal dysfunction in cirrhosis was identified for further investigations that provide potentially important mechanistic insights into cirrhosis-altered metabolism.
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