Development of an UPLC-MS/MS method for assaying the enzymatic activity of propionyl coenzyme-A carboxylase.

BACKGROUND: Propionyl coenzyme-A carboxylase (PCC) is a mitochondrial enzyme previously quantifiable only by radiometric assay. Herein, we report a UPLC-MS/MS method as a superior alternative method for assaying PCC's activity. METHODOLOGY & RESULTS: For the development of the UPLC-MS/MS method, the mass spectra of propionyl coenzyme-A and methyl malonyl coenzyme-A precursor ions, and their full scan product ions were determined. MRM was used for the quantification of the analytes. The method showed good linearity and selectivity for further bioanalytical study. CONCLUSION: The developed UPLC-MS/MS method is capable of rapidly quantifying PCC's enzymatic activity and demonstrated suitability for assaying PCC's activity in complex biological samples. Thus, the method will be useful in validating recombinant expression of PCC, and potentially for routine quantification of mitochondrial PCC's activity level in patient cells.

The identification of antigenic proteins: 14-3-3 protein and propionyl-CoA carboxylase in Clonorchis sinensis.

Clonorchis sinensis, the causative agent of clonorchiasis, is widespread in East and Southeast Asia, including China, Vietnam and the Republic of Korea. We identified antigenic proteins from adult C. sinensis liver flukes using immunoproteomic analysis. In this study, we found 23 candidate antigenic proteins with a pI in the range of 5.4-6.2 in total lysates of C. sinensis. The antigenic protein spots reacted against sera from clonorchiasis patients and were identified as cysteine proteases, glutathione transferases, gelsolin, propionyl-CoA carboxylase (PCC), prohibitin and 14-3-3 protein (14-3-3) using LC-coupled ESI-MS/MS and an EST database for C. sinensis. PCC and 14-3-3 were identified for the first time as serological antigens for the diagnosis of C. sinensis. To validate the antigenicity of PCC and 14-3-3, recombinant proteins were immunoblotted with sera from clonorchiasis patients. The structural, functional and immunological characteristics of the putative amino acid sequence were predicted by bioinformatics analysis. Our novel finding will contribute to the development of diagnostics for clonorchiasis. These results suggest that immunoproteomic approaches are valuable tools to identify antigens that could be used as targets for effective parasitic infection control strategies.