Development and validation of an LC-ESI-MS/MS quantification method for a potentialγ-aminobutyric acid transporter 3 (GAT3) marker and its application in preliminary MS binding assays

2012 ◽  
Vol 27 (5) ◽  
pp. 641-654 ◽  
Author(s):  
Maria Polley ◽  
Georg Höfner ◽  
Klaus Theodor Wanner
Keyword(s):  
Aminobutyric Acid ◽  
Binding Assays ◽  
Esi Ms ◽  
Quantification Method ◽  
Acid Transporter ◽  
Development And Validation

scholarly journals UHPLC-ESI-MS/MS Quantification of Relevant Substrates and Metabolites of the Kynurenine Pathway Present in Serum and Peritoneal Fluid from Gastric Cancer Patients—Method Development and Validation

2021 ◽  
Vol 22 (13) ◽  
pp. 6972
Author(s):  
Ilona Sadok ◽  
Katarzyna Jędruchniewicz ◽  
Karol Rawicz-Pruszyński ◽  
Magdalena Staniszewska
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Peritoneal Fluid ◽  
Method Development ◽  
Solid Phase ◽  
Kynurenine Pathway ◽  
Serum Samples ◽  
Esi Ms ◽  
Gastric Cancer Patients ◽  
Development And Validation

Metabolites and enzymes involved in the kynurenine pathway (KP) are highly promising targets for cancer treatment, including gastrointestinal tract diseases. Thus, accurate quantification of these compounds in body fluids becomes increasingly important. The aim of this study was the development and validation of the UHPLC-ESI-MS/MS methods for targeted quantification of biologically important KP substrates (tryptophan and nicotinamide) and metabolites(kynurenines) in samples of serum and peritoneal fluid from gastric cancer patients. The serum samples were simply pretreated with trichloroacetic acid to precipitate proteins. The peritoneal fluid was purified by solid-phase extraction before analysis. Validation was carried out for both matrices independently. Analysis of the samples from gastric cancer patients showed different accumulations of tryptophan and its metabolites in different biofluids of the same patient. The protocols will be used for the evaluation of tryptophan and kynurenines in blood and peritoneal fluid to determine correlation with the clinicopathological status of gastric cancer or the disease’s prognosis.

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