A simple and highly sensitive solution for the quantification of cyclic peptides


Featuring the ZenoTOF 7600 system and SCIEX OS software

Eshani Nandita, Zoe Zhang and Elliott Jones
SCIEX, USA 

Abstract


This technical note describes a highly sensitive quantification workflow for cyclic peptides in rat plasma using accurate mass spectrometry. Low-level quantification was achieved with outstanding accuracy, precision and linearity. A lower limit of quantification (LLOQ) of 0.4 ng/mL was reached for eptifibatide, a model cyclic peptide, exhibiting a more than three-fold improvement in LLOQ compared to previous methods. 1-3 Overall, a five-fold signal-to-noise (S/N) improvement was observed using Zeno SIM compared with traditional MS, demonstrating greater sensitivity with the application of the Zeno trap (Figure 1).

Cyclic peptides are polypeptides in the configuration of a ring formed by chemically stable bonds, such as disulfide bonds between two cysteine residues. Cyclic peptides have been identified as critical therapeutic candidates given their structural stability and conformational rigidity. The stability of a cyclic bond enhances biological activity compared to a linear peptide. As a result, cyclic peptides have emerged as successful therapeutic species in relation to cardiovascular diseases.4

With emerging interest in the advancement of cyclic peptide therapeutics, there is an equivalent drive toward developing highly robust and sensitive quantitative methods. However, current bioanalytical methods for the quantification of cyclic peptides in biological matrices still present challenges. For LCMS-based methods, high baseline interference and resistance to collision induced dissociation (CID), given the complex tertiary structure of cyclic peptides, have an impact on overall sensitivity.

In this technical note, eptifibatide was selected as a model analyte to evaluate the quantitative performance of cyclic peptides on the ZenoTOF 7600 system. Zeno SIM, Zeno CID and Zeno electron activated dissociation (EAD) modes were evaluated for quantification. The Zeno SIM approach enabled low-level quantification of cyclic peptides compared to the Zeno CID and Zeno EAD approaches. In addition, the Zeno SIM workflow facilitated an overall reduction in method development time with minimal ion path tuning, offering a simple quantitative workflow for cyclic peptides.

Figure 1. Zeno SIM offers greater sensitivity for the quantification of cyclic peptides. A 5-fold S/N (peak-to-peak) improvement was observed with the application of Zeno SIM compared to traditional MS.

Key features for cyclic peptide quantification using the ZenoTOF 7600 system and SCIEX OS software
 

  • A five-fold S/N improvement using Zeno SIM compared with traditional MS for sensitive quantification of hard-to-fragment cyclic peptides

  • A simplified method development paradigm for cyclic peptide quantification when using the Zeno SIM methodology

  • Low-level quantification of cyclic peptides in rat plasma with exceptional linearity, precision and accuracy • A single platform for streamlined data acquisition, processing and management with SCIEX OS software