A novel SPE-LC-MRM strategy for serum demethylzeylasteral quantitation developed with an 18O-labeled internal standard.

ABSTRACT

Natural bioactive compounds (NBCs) are widely used in clinical treatment. For example, Tripterygium wilfordii Hook f. is commonly known in China as Lei-Gong-Teng which means thunder god vine. This herb is widely distributed in Eastern and Southern China, Korea, and Japan. The natural bioactive compounds of this herb can be extracted and made into tripterygium glycoside tablets. It is one of the most commonly used and effective traditional Chinese herbal medicines against rheumatoid arthritis (RA), nephrotic syndrome (NS), autoimmune hepatis (AIH), and so on. However, many NBCs are difficult to reliably quantify in the serum due to the effects of matrix and RSD. In addition, the targeted compound's internal standard (IS) is rarely sold due to the complex isotope internal standard synthesis pathway. In this study, a new quantitation method for 18O labeling combined with off-line SPE was formulated. We contrasted the recoveries and matrix effects of various separation methods in order to choose the best method. Furthermore, we optimized the conditions for SPE loading and washing. An isotopic internal standard was prepared by the 16O/18O exchanging reaction in order to eliminate the matrix effects. The method's accuracy and precision met the requirements for method validation. The recovery of this method was close to 60%. The relative standard deviation (RSD) of the high-concentration sample was 2%, and the limit of detection (LOD) was 1 ng/mL. This method could be used to analyze the clinical serum concentration of demethylzeylasteral. Sixty samples were collected from 10 patients with diabetes nephropathy. The quantitation results of demethylzeylasteral in patients' serum obtained using this method exhibited a correlation between therapeutic drug monitoring (TDM) and decreased urinary protein. This work may have broad implications for the study of drug metabolism in vivo and the clinical application of low-abundance and difficult-to-quantify NBCs.