379 Salivary Proteomic Profiling for Diabetes

Thursday, March 22, 2012: 2 p.m. - 3:15 p.m.
Presentation Type: Poster Session
H. KOHLTFARBER1, S. SCHWARTZ2, J. CARLSON2, S. BENCHARIT3, and M.V. MAYO1, 1Diagnostic Sciences, University of North Carolina, Chapel Hill, NC, 2David H. Murdock Research Institute, Kannapolis, NC, 3Prosthodontics, University of North Carolina, Chapel Hill, NC
Objectives: Salivary proteins have potential for diagnosis and monitoring of hyperglycemic conditions related to type 1 and 2 diabetes. Several proteins in serum/plasma are also present in saliva.  

Methods: In this study, we applied label-free differential protein expression analysis using multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) to explore the proteomic profile of saliva samples collected from 50 and 100 subjects with type 1 and 2 diabetes, respectively.

Results: For each type of diabetes, saliva samples were pooled into five groups based on the subject’s hemoglobin A1C levels;<7,  7-8, 8-9, 9-10 and >10. Cluster analysis and principle component analysis demonstrated a differential pattern of protein biomarker expression based on the A1C levels. In addition, the proteomic profiling demonstrates similar A1C-related biomarkers between the type 1 and 2 diabetes.   

Conclusions: This cross-sectional study provides proof-of-principle for using salivary protein surrogates for A1C.

This abstract is based on research that was funded entirely or partially by an outside source: NIH grants: HL092338 and UL1RR025747; and NCTraCS grants: 2KR80905 and 10KR81002

Keywords: Diabetes, Diagnosis and Saliva