Matrix‐assisted laser desorption/ionization for simultaneous quantitation of (acyl‐)carnitines and organic acids in dried blood spots

化学 轨道轨道 质谱法 色谱法 代谢物 基质辅助激光解吸/电离 生物化学 解吸 有机化学 吸附
作者
Katharina M. Ostermann,Rebecca Dieplinger,Nikola M. Lutsch,Kerstin Strupat,Thomas F. Metz,Thomas P. Mechtler,David C. Kasper
出处
期刊:Rapid Communications in Mass Spectrometry [Wiley]
卷期号:27 (13): 1497-1504 被引量:10
标识
DOI:10.1002/rcm.6597
摘要

RATIONALE: Screening for inborn errors of metabolism using mass spectrometry is part of nationwide newborn screening programs and involves the detection of disease relevant (acyl-)carnitines and organic acids from dried blood spots. Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry (MALDI-MS) is a well-established tool for proteomics approaches. In recent years, this technique has become more and more integrated in analysis and identification of small metabolites and disease biomarkers in daily clinical laboratories. METHODS: We used a combination of both MALDI and high-resolution accurate mass (HR/AM) mass spectrometry using a linear ion trap-Orbitrap for the identification of small molecules from dried blood spots that serve as biomarkers for inborn errors of metabolism. The levels of detected metabolite species were compared between healthy newborns and affected patients with various inborn errors of metabolism using isotopically labeled internal standards and new bioinformatics software, respectively. RESULTS: (Acyl-)carnitine levels from normal and affected patients could be quantified and differentiated. Additionally, using the high resolving power of full scan Orbitrap mass spectrometry and novel software tools we demonstrated the identification and quantification of disease-specific organic acids. CONCLUSIONS: MALDI-HR/AM and full scan spectra to obtain information for the metabolic status of patients is a promising complementary approach to electrospray ionization mass spectrometry by simplified sample preparation, facilitating the screening of hundreds of metabolites from small sample volumes.
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