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Rapid LC-MS assay for targeted metabolite quantification by serial injection into isocratic gradients.
Groves, Ryan A; Chan, Carly C Y; Wildman, Spencer D; Gregson, Daniel B; Rydzak, Thomas; Lewis, Ian A.
Afiliação
  • Groves RA; Department of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Chan CCY; Department of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Wildman SD; Department of Biological Sciences, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Gregson DB; Alberta Precision Laboratories, Calgary, AB, T2L 2K8, Canada.
  • Rydzak T; Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
  • Lewis IA; Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Anal Bioanal Chem ; 415(2): 269-276, 2023 Jan.
Article em En | MEDLINE | ID: mdl-36443449
Liquid chromatography mass spectrometry (LC-MS) has emerged as a mainstream strategy for metabolomics analyses. One advantage of LC-MS is that it can serve both as a biomarker discovery tool and as a platform for clinical diagnostics. Consequently, it offers an exciting opportunity to potentially transition research studies into real-world clinical tools. One important distinction between research versus diagnostics-based applications of LC-MS is throughput. Clinical LC-MS must enable quantitative analyses of target molecules in hundreds or thousands of samples each day. Currently, the throughput of these clinical applications is limited by the chromatographic gradient lengths, which-when analyzing complex metabolomics samples-are difficult to conduct in under ~ 3 min per sample without introducing serious quantitative analysis problems. To address this shortcoming, we developed sequential quantification using isotope dilution (SQUID), an analytical strategy that combines serial sample injections into a continuous isocratic mobile phase to maximize throughput. SQUID uses internal isotope-labelled standards to correct for changes in LC-MS response factors over time. We show that SQUID can detect microbial polyamines in human urine specimens (lower limit of quantification; LLOQ = 106 nM) with less than 0.019 normalized root mean square error. Moreover, we show that samples can be analyzed in as little as 57 s. We propose SQUID as a new, high-throughput LC-MS tool for quantifying small sets of target biomarkers across large cohorts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article