Automated Liquid Handling Extraction and Rapid Quantification of Underivatized Amino Acids and Tryptophan Metabolites from Human Serum and Plasma Using Dual-Column U(H)PLC-MRM-MS and Its Application to Prostate Cancer Study.
Tobias KipuraMadlen HotzeAlexa HoferAnna-Sophia EggerLea E TimpenChristiane A OpitzPaul A TownsendLee A GethingsKathrin ThedieckMarcel KwiatkowskiPublished in: Metabolites (2024)
Amino acids (AAs) and their metabolites are important building blocks, energy sources, and signaling molecules associated with various pathological phenotypes. The quantification of AA and tryptophan (TRP) metabolites in human serum and plasma is therefore of great diagnostic interest. Therefore, robust, reproducible sample extraction and processing workflows as well as rapid, sensitive absolute quantification are required to identify candidate biomarkers and to improve screening methods. We developed a validated semi-automated robotic liquid extraction and processing workflow and a rapid method for absolute quantification of 20 free, underivatized AAs and six TRP metabolites using dual-column U(H)PLC-MRM-MS. The extraction and sample preparation workflow in a 96-well plate was optimized for robust, reproducible high sample throughput allowing for transfer of samples to the U(H)PLC autosampler directly without additional cleanup steps. The U(H)PLC-MRM-MS method, using a mixed-mode reversed-phase anion exchange column with formic acid and a high-strength silica reversed-phase column with difluoro-acetic acid as mobile phase additive, provided absolute quantification with nanomolar lower limits of quantification within 7.9 min. The semi-automated extraction workflow and dual-column U(H)PLC-MRM-MS method was applied to a human prostate cancer study and was shown to discriminate between treatment regimens and to identify metabolites responsible for discriminating between healthy controls and patients on active surveillance.
Keyphrases
- ms ms
- prostate cancer
- mass spectrometry
- liquid chromatography
- multiple sclerosis
- solid phase extraction
- end stage renal disease
- machine learning
- amino acid
- deep learning
- radical prostatectomy
- high throughput
- chronic kidney disease
- endothelial cells
- ionic liquid
- electronic health record
- newly diagnosed
- prognostic factors
- loop mediated isothermal amplification
- molecularly imprinted
- peritoneal dialysis
- high resolution
- patient reported outcomes
- tandem mass spectrometry
- electron transfer