Article ; Online: Analysis of tryptophan metabolites and related compounds in human and murine tissue: development and validation of a quantitative and semi-quantitative method using high resolution mass spectrometry.
Analytical methods : advancing methods and applications
2024 Volume 16, Issue 7, Page(s) 1074–1082
Abstract: This study explores the metabolic differences between human and murine plasma in addition to differences between murine subcutaneous and visceral white adipose tissue. A quantitative and semi-quantitative targeted method was developed and validated for ... ...
Abstract | This study explores the metabolic differences between human and murine plasma in addition to differences between murine subcutaneous and visceral white adipose tissue. A quantitative and semi-quantitative targeted method was developed and validated for this purpose. The quantitative method includes tryptophan and its metabolites in addition to tyrosine, phenylalanine, taurine, B vitamins, neopterin, cystathionine and hypoxanthine. While the semi-quantitative method includes; 3-indoleacetic acid, 5-hydroxyindoleacetic acid, acetylcholine, asymmetric dimethylarginine, citrulline and methionine. Sample preparation was based on protein precipitation, while quantification was conducted using ultrahigh-performance liquid chromatography coupled to a quadrupole Orbitrap tandem mass spectrometer with electrospray ionization in the parallel reaction monitoring (PRM) mode. The low limit of quantification for all metabolites ranged from 1 to 200 ng mL |
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MeSH term(s) | Humans ; Mice ; Animals ; Tryptophan/metabolism ; Chromatography, High Pressure Liquid/methods ; Tandem Mass Spectrometry/methods ; Tyrosine ; Phenylalanine |
Chemical Substances | Tryptophan (8DUH1N11BX) ; Tyrosine (42HK56048U) ; Phenylalanine (47E5O17Y3R) |
Language | English |
Publishing date | 2024-02-15 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2515210-5 |
ISSN | 1759-9679 ; 1759-9660 |
ISSN (online) | 1759-9679 |
ISSN | 1759-9660 |
DOI | 10.1039/d3ay01959d |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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