A L O'Kell1, T J Garrett2, C Wasserfall3, M A Atkinson4. 1. Department of Small Animal Clinical Sciences, College of Veterinary Medicine, The University of Florida, Box 100116, 2015 SW 16th Avenue, Gainesville, FL, 32608, USA. aokell@ufl.edu. 2. Department of Pathology, Immunology, and Laboratory Medicine, The University of Florida, 1395 Center Drive, Gainesville, FL, 32610, USA. 3. Department of Pathology, Immunology, and Laboratory Medicine, The University of Florida Diabetes Institute, 1275 Center Drive, Gainesville, FL, 32610, USA. 4. Departments of Pathology, Immunology and Laboratory Medicine, and Pediatrics, The University of Florida Diabetes Institute, 1275 Center Drive, Gainesville, FL, 32610, USA.
Abstract
INTRODUCTION: We recently identified variances in serum metabolomic profiles between fasted diabetic and healthy dogs, some having similarities to those identified in human type 1 diabetes. OBJECTIVES: Compare untargeted metabolomic profiles in the non-fasted state. METHODS: Serum from non-fasted diabetic (n = 6) and healthy control (n = 6) dogs were analyzed by liquid chromatography-high resolution mass spectrometry. RESULTS: Clear clustering of metabolites between groups were observed, with multiple perturbations identified that were similar to those previously observed in fasted diabetic dogs. CONCLUSION: These findings further support the development of targeted assays capable of detecting metabolites that may be useful as biomarkers of canine diabetes.
INTRODUCTION: We recently identified variances in serum metabolomic profiles between fasted diabetic and healthy dogs, some having similarities to those identified in humantype 1 diabetes. OBJECTIVES: Compare untargeted metabolomic profiles in the non-fasted state. METHODS: Serum from non-fasted diabetic (n = 6) and healthy control (n = 6) dogs were analyzed by liquid chromatography-high resolution mass spectrometry. RESULTS: Clear clustering of metabolites between groups were observed, with multiple perturbations identified that were similar to those previously observed in fasted diabeticdogs. CONCLUSION: These findings further support the development of targeted assays capable of detecting metabolites that may be useful as biomarkers of caninediabetes.
Entities:
Keywords:
Biomarkers; Canine diabetes mellitus; High resolution mass spectrometry; Metabolites; Type 1 diabetes; Ultra high performance liquid chromatography; Untargeted metabolomics
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