Journal
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 408, Issue 26, Pages 7379-7391Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-016-9818-z
Keywords
Immunocapture; LC-MS/MS; Differentiation power; Proteins; Biomarkers; Heterodimers
Ask authors/readers for more resources
If the biomarker potential of intact heteromers and their free subunits is different, differentiation between these forms may reveal important clinical information. Such differentiation may however be analytically challenging. One possible way of circumventing this challenge is by performing a dual-immuno-MS approach. In the present paper, a two-step immunoaffinity sample preparation step is succeeded by digestion and subsequent LC-MS analysis to provide high-sensitivity quantification and differentiation between the heterodimer human chorionic gonadotropin (hCG) and its free beta-subunit in serum. Intact and free variants are captured in two separate immunoextraction steps in order to increase the differentiation power of the method. Intact heterodimer variants were depleted prior to free subunit variants in order to incorporate a method quality control. The method was optimized for serum samples. A fully validated immuno-MS method was used as foundation, and partial validation according to the European Medicines Agency's (EMA) guidelines on validation of bioanalytical methods was performed for the dual approach. An accelerated digestion step was incorporated making batch processing of samples within 1 day possible (approx. 3.5 h of sample preparation including digestion). Acceptable linearity (R (2) aeyen 0.990 for four variants and R (2) of 0.920 and 0.966 for the remaining two) and specificity were demonstrated, and the method was robust toward varying levels of intact heterodimer versus free subunit. The method was also successfully tested on realistic samples, demonstrating both the differences in total hCG and the distribution between intact hCG and its free beta-subunit in real samples.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available