PWE-199 Metabolomic profiling in acute pancreatitis; in search of new biomarkers

Ross, NP; Correa, ES; Rattray, NJ; Hildebrand, DR; Trivedi, DK; Goodacre, R; Watson, AJ

Abstract

Introduction Severe acute pancreatitis (AP) carries a 30–50% mortality.1Current scoring systems fall short in predictive accuracy, sensitivity, specificity and availability.2Metabolomics aims to decipher molecular signatures that will distinguish disease from controls, ultimately leading to novel targets for diagnosis, staging and treatment. Initial studies are discovery-based, hypothesis-generating and typically aim to establish a snapshot of the metabolism of an individual by metabolite profile. The aim of this study was to determine the urinary and serum metabolomic profiles of AP in comparison to healthy controls and establish if metabolomic profiling can distinguish severity or aetiology of disease in order to identify potential novel bio-markers.

Method Urine and serum samples from 72 patients with AP, were compared with 62 healthy controls (HC). Two analytical platforms, UHPLC-MS and GC-TOF-MS, were used in this study in order to minimise false negatives and identify a quantitative compliment of all metabolites across a wide molecular weight range. GC-TOF-MS can identify VLMW polar metabolites (<350 Da), where-as reverse phase UHPLC-MS is useful in detecting non-polar metabolites. Metabolite identification was subject to univariate and multivariate analysis (p < 0.05).

Results After univariate analysis, a total of 964 serum metabolites and 1263 urinary metabolites were identified as significantly different in comparison to HC. Multivariate analysis showed good discrimination, based on metabolite profiles, between severity of AP when classified by MODS but not by APACHE II score. There was no separation by metabolite profiles correlating to aetiology of AP.

Citation

Ross, N., Correa, E., Rattray, N., Hildebrand, D., Trivedi, D., Goodacre, R., & Watson, A. (2015). PWE-199 Metabolomic profiling in acute pancreatitis; in search of new biomarkers. Gut, 64(Suppl), A299.2-A300. https://doi.org/10.1136/gutjnl-2015-309861.646

• Journal Article Type: Article
• Online Publication Date: Jun 22, 2015
• Publication Date: Jun 22, 2015
• Deposit Date: Feb 7, 2017
• Journal: Gut
• Print ISSN: 0017-5749
• Electronic ISSN: 1468-3288
• Publisher: BMJ Publishing Group
• Volume: 64
• Issue: Suppl
• Pages: A299.2-A300
• DOI: https://doi.org/10.1136/gutjnl-2015-309861.646
• Publisher URL: http://dx.doi.org/10.1136/gutjnl-2015-309861.646
• Related Public URLs: http://gut.bmj.com/