Issue 6, 2020

Accurate and sensitive detection of dipeptidyl peptidase-IV activity by liquid chromatography with fluorescence detection

Abstract

Dipeptidyl peptidase-IV (DPP-IV), an important prolyl-specific peptidase in the serine hydrolase family, hydrolyzes a large number of endogenous oligopeptides. In clinical studies, the detection of DPP-IV, especially the detection of its activity, is particularly important. We previously reported a specific fluorescent two-photon probe for DPP-IV. In this study, to further verify that our probe can be used for DPP-IV activity detection, we developed an accurate and sensitive method for the determination of DPP-IV activity in human tissue microsomes, cell homogenates or cell supernatants by liquid chromatography-fluorescence detection (LC-FD). This method is based on the fluorescence generated from BAN obtained from the hydrolysis of GP-BAN by detecting DPP-IV. The linearity, sensitivity, recovery, precision and stability of the method were fully validated. The method based on LC-FD has a lower limit of quantitation for BAN (product of DPP-IV), as low as 5 nM (only needs 2 μL), which is much lower than that of the others. This method also demonstrated good accuracy and precision; variances of both were less than 15% between the intra- and inter-assay. In addition, the method was successfully applied to the determination of DPP-IV activity in various cell homogenates and cell supernatants. The development of the LC-FD method will help to understand the expression and function of DPP-IV in different biological samples in humans for future studies.

Graphical abstract: Accurate and sensitive detection of dipeptidyl peptidase-IV activity by liquid chromatography with fluorescence detection

Supplementary files

Article information

Article type
Paper
Submitted
04 Dec 2019
Accepted
09 Jan 2020
First published
09 Jan 2020

Anal. Methods, 2020,12, 848-854

Accurate and sensitive detection of dipeptidyl peptidase-IV activity by liquid chromatography with fluorescence detection

H. Ma, X. Qian, J. Zhang, Q. Jin, L. Zou, S. Liu and G. Ge, Anal. Methods, 2020, 12, 848 DOI: 10.1039/C9AY02610J

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