Development of a fast LC-MS/MS protocol for combined measurement of six LSDs on dried blood spot in a newborn screening program.

New treatment options and improved strategies for Lysosomal Storage Disorders (LSDs) diagnosis on dried blood spot (DBS) have led to the development of several pilot newborn screening programs. Building on a previously published protocol, we devised a new 6-plex assay based on a single DBS punch incubated into a buffer containing a combination of substrates (GAA, GLA, ASM, GALC, ABG and IDUA). This new protocol incorporates a new trapping and clean-up procedure using perfusion chromatography connected on-line with an analytical column for analyte separation, after enzymatic reaction. Results are available after 4.5 min. Several incubation times were tested in order to reduce sample preparation times and to improve accuracy and reproducibility, also regarding the quenching of the reaction within the time window of linear product accumulation. The collected data demonstrate that an incubation time of 4 h is enough to achieve good reaction efficiency without any impact on sensitivity. The method proved versatile and robust for various instrument configurations. The fast sample preparation and running times allow a high sample throughput; an advantage in newborn screening procedures. This method can also be used for diagnostic purposes, allowing a rapid diagnosis in a few hours.

Detection of potential new biomarkers of atherosclerosis by probe electrospray ionization mass spectrometry.

INTRODUCTION: Atherosclerotic diseases are the leading cause of death worldwide. Biomarkers of atherosclerosis are required to monitor and prevent disease progression. While mass spectrometry is a promising technique to search for such biomarkers, its clinical application is hampered by the laborious processes for sample preparation and analysis. METHODS: We developed a rapid method to detect plasma metabolites by probe electrospray ionization mass spectrometry (PESI-MS), which employs an ambient ionization technique enabling atmospheric pressure rapid mass spectrometry. To create an automatic diagnosis system of atherosclerotic disorders, we applied machine learning techniques to the obtained spectra. RESULTS: Using our system, we successfully discriminated between rabbits with and without dyslipidemia. The causes of dyslipidemia (genetic lipoprotein receptor deficiency or dietary cholesterol overload) were also distinguishable by this method. Furthermore, after induction of atherosclerosis in rabbits with a cholesterol-rich diet, we were able to detect dynamic changes in plasma metabolites. The major metabolites detected by PESI-MS included cholesterol sulfate and a phospholipid (PE18:0/20:4), which are promising new biomarkers of atherosclerosis. CONCLUSION: We developed a remarkably fast and easy method to detect potential new biomarkers of atherosclerosis in plasma using PESI-MS.