Journal
ANALYTICAL CHEMISTRY
Volume 91, Issue 7, Pages 4396-4404Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.8b04852
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Funding
- Japan Society for the Promotion of Science (JSPS) [16J11918]
- Grants-in-Aid for Scientific Research [16J11918] Funding Source: KAKEN
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We propose a chiral metabolomics approach based on a data-dependent MS/MS analysis (DDA) using high-resolution quadrupole-time-of-flight mass spectrometry (Q-TOFMS) and C-13-isotope coded derivatization (ICD) reagents, i.e., iDMT-(S)-A and iDMT-(S)-PO. The advantage of the method is the correction of all detected derivatives by parallel derivatization of the isotope-coded and noncoded reagents. The automatic data analysis platform using an MSDIAL and ICD discrimination program, called DINA, was also developed and used for the data analysis process. As a result, a 0.5-2.0% (D-/L-isomer) variation of the isomers was correctly recognized in the automatic data analysis step. Both the semiquantitative comparison and identification efficiency were improved as a result of the high resolution/accuracy of the MS and MS/MS spectra derived from the DDA analysis. This method was used for biomarker discovery in the cerebrospinal fluid (CSF) of patients with Alzheimer's disease (AD). Twenty-four biomarker candidates were successfully determined, including 8 chiral ones.
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