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Simultaneous detection of lysine metabolites by a single LC–MS/MS method: monitoring lysine degradation in mouse plasma

Overview of attention for article published in SpringerPlus, February 2016
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Title
Simultaneous detection of lysine metabolites by a single LC–MS/MS method: monitoring lysine degradation in mouse plasma
Published in
SpringerPlus, February 2016
DOI 10.1186/s40064-016-1809-1
Pubmed ID
Authors

Izabella A. Pena, Lygia A. Marques, Angelo B. A. Laranjeira, José A. Yunes, Marcos N. Eberlin, Paulo Arruda

Abstract

Detection and quantification of lysine degradation metabolites in plasma is necessary for the diagnosis and follow-up of diseases such as pyridoxine-dependent epilepsy. The principal metabolites involved in the disease are related to the first steps of lysine oxidation, either through the saccharopine or the pipecolate pathways. Currently, there are three different analytical methods used to assess the content of these metabolites in urine and plasma, but they require different sample preparations and analytical equipment. Here, we describe a protocol that calls for a simple sample preparation and uses liquid chromatography tandem mass spectrometry (LC-MS/MS) that allows simultaneous detection and quantification of underivatized l-saccharopine, l-aminoadipic acid, l-pipecolic acid, piperideine-6-carboxylate, l-glutamic acid, and pyridoxal-5-phosphate in plasma samples. To validate the method we analyzed the time course degradation after intraperitoneal injection of l-lysine in C57BL/6/J mice. We observed that the degradation of lysine through the saccharopine pathway reached a maximum within the first 2 h. At this time point there was an increase in the levels of the metabolites saccharopine, aminoadipic acid, and pipecolic acid by 3-, 24- and 3.4-fold, respectively, compared to time zero levels. These metabolites returned to basal levels after 4-6 h. In conclusion, we have developed a LC-MS/MS approach, which allows simultaneous analysis of lysine degradation metabolites without the need for derivatization.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 24%
Student > Ph. D. Student 8 22%
Student > Bachelor 4 11%
Student > Master 4 11%
Lecturer 2 5%
Other 4 11%
Unknown 6 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 30%
Agricultural and Biological Sciences 10 27%
Medicine and Dentistry 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 3 8%
Unknown 9 24%