Sebastian Hörber1,2, Andreas Peter1,2,3, Rainer Lehmann1,2,3, Miriam Hoene1,2. 1. Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany. 2. Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich, University of Tübingen, Tübingen, Germany. 3. German Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Abstract
OBJECTIVES: Due to its high specificity, liquid chromatography-tandem mass spectrometry (LC-MS/MS) is considered the gold standard in diagnostic areas such as therapeutic monitoring of immunosuppressive drugs (ISDs). However, many laboratories still rely on immunoassays for ISD quantification in a tradeoff between analytical performance and the advantages of fully automated analyzers - shorter turnaround times, greater ease of use, and 24/7 availability. METHODS: The LC-MS/MS-based Thermo Scientific™ Cascadion™ SM Immunosuppressant Panel was evaluated for >6 months in the routine laboratory of a university hospital. We assessed the analytical performance of the panel and compared it to conventional LC-MS/MS as well as to immunoassays (cyclosporine A, sirolimus, tacrolimus (Siemens) and everolimus (Thermo Fisher)). In addition, both ISD panel and Cascadion analyzer were scrutinized with regards to, e.g., turnaround time, usability, and robustness. RESULTS: All ISDs showed high linearity and precision (CV≤6%) and a good correlation with conventional LC-MS/MS. The mean deviation to the immunoassays was 17-19% and negative for all ISDs except everolimus with a positive 19% bias. No weak points were revealed when challenging assay and system with, e.g., high haematocrit, sedimented whole blood or priority samples. The Cascadion integrated well into our 24/7 routine and could easily be operated simultaneously with several other analyzers by technical staff without LC-MS experience. CONCLUSIONS: The ISD panel showed excellent analytical performance and demonstrated that a fully automated LC-MS-based analysis starting from primary samples is feasible, suggesting that LC-MS could become an integral part of 24/7 diagnostics in the near future.
OBJECTIVES: Due to its high specificity, liquid chromatography-tandem mass spectrometry (LC-MS/MS) is considered the gold standard in diagnostic areas such as therapeutic monitoring of immunosuppressive drugs (ISDs). However, many laboratories still rely on immunoassays for ISD quantification in a tradeoff between analytical performance and the advantages of fully automated analyzers - shorter turnaround times, greater ease of use, and 24/7 availability. METHODS: The LC-MS/MS-based Thermo Scientific™ Cascadion™ SM Immunosuppressant Panel was evaluated for >6 months in the routine laboratory of a university hospital. We assessed the analytical performance of the panel and compared it to conventional LC-MS/MS as well as to immunoassays (cyclosporine A, sirolimus, tacrolimus (Siemens) and everolimus (Thermo Fisher)). In addition, both ISD panel and Cascadion analyzer were scrutinized with regards to, e.g., turnaround time, usability, and robustness. RESULTS: All ISDs showed high linearity and precision (CV≤6%) and a good correlation with conventional LC-MS/MS. The mean deviation to the immunoassays was 17-19% and negative for all ISDs except everolimus with a positive 19% bias. No weak points were revealed when challenging assay and system with, e.g., high haematocrit, sedimented whole blood or priority samples. The Cascadion integrated well into our 24/7 routine and could easily be operated simultaneously with several other analyzers by technical staff without LC-MS experience. CONCLUSIONS: The ISD panel showed excellent analytical performance and demonstrated that a fully automated LC-MS-based analysis starting from primary samples is feasible, suggesting that LC-MS could become an integral part of 24/7 diagnostics in the near future.
Authors: Aleksandra Robak; Michał Kistowski; Grzegorz Wojtas; Anna Perzanowska; Tomasz Targowski; Agata Michalak; Grzegorz Krasowski; Michał Dadlez; Dominik Domański Journal: Sci Rep Date: 2022-02-23 Impact factor: 4.379