| Literature DB >> 29651844 |
Di Yu1,2, Lina Zhou1, Qiuhui Xuan1,2, Lichao Wang1,2, Xinjie Zhao1, Xin Lu1, Guowang Xu1.
Abstract
Carnitines play important roles in fatty acid oxidation and branched chain amino acid metabolism. The disturbance of acylcarnitines is associated with occurrence and development of many diseases. Comprehensive acylcarnitine identification can greatly benefit their targeted detection, following disease differential diagnosis and possible mechanism study. In this study, we developed a novel strategy to identify as many acylcarnitines as possible based on liquid chromatography-high-resolution mass spectrometry (LC-HRMS). The layer-layer progressive strategy first integrated the initial full scan MS/data-dependent MS/MS monitoring (ddMS2) acquisition and the following parallel reaction monitoring (PRM) to analyze a pooled biological sample. Also 733 possible acylcarnitines were identified containing characteristic high-resolution MS/MS features. Further, accurate mass, retention rules, and HRMS/MS information were used to define subclasses and predict undetected acylcarnitine homologues in each subclass, leading to more acylcarnitines to our newly constructed database. As a result, 758 acylcarnitines were contained in the database, having exact mass, retention time, and MS/MS information, which is the most comprehensive list of acylcarnitines reported to date. Applying this database, 241, 515, and 222 acylcarnitines were rapidly and reliably annotated in human plasma, human urine, and rat liver tissue. This novel strategy enables large-scale identification of acylcarnitines, and a similar method can also be used for identification of other metabolites.Entities:
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Year: 2018 PMID: 29651844 DOI: 10.1021/acs.analchem.7b05471
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986