Literature DB >> 26818237

Targeting tryptophan and tyrosine metabolism by liquid chromatography tandem mass spectrometry.

Josep Marcos1, Nuria Renau2, Olga Valverde3, Gemma Aznar-Laín4, Irene Gracia-Rubio5, Marta Gonzalez-Sepulveda5, Luis Alberto Pérez-Jurado6, Rosa Ventura3, Jordi Segura3, Oscar J Pozo7.   

Abstract

An imbalance in tryptophan (Trp) and tyrosine (Tyr) metabolites is associated with neurological and inflammatory disorders. The accurate and precise measurement of these compounds in biological specimens is a powerful tool to understand the biochemical state in several diseases. In this study, a rapid, accurate and sensitive method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the targeted analysis of the metabolism of Trp and Tyr has been developed and validated. The method allows for the adequate quantification of Trp, Tyr and, eight Trp metabolites, three Tyr metabolites, together with four competitive large neutral amino acids. Serotonin, 5-hydroxyindoleacetic acid, kynurenine, kynurenic acid, dopamine, and homovanilic acid were among the targeted compounds. Sample preparation, chromatographic separation and mass spectrometric detection were optimized in human urine, human plasma and mice prefrontal cortex extracts. The method was shown to be linear (r>0.98) in the range of endogenous concentrations for all studied metabolites. In general, the limits of detection were suitable for the detection of the endogenous levels. Intra- and inter-assay precisions below 25% and accuracies ranging from 80 to 120% were found for most of the analytes. The use of labeled internal standards corrected the moderate matrix effect observed for some compounds. The applicability of the method was confirmed by analyzing urine samples collected from 13 healthy volunteers and comparing the results with previously established normal ranges. In addition, urine samples from two patients and a heterozygous carrier of a family with disturbed monoamine metabolism due to a loss of function mutation in the MAOA gene (X-linked) were analyzed and compared with samples from controls. All data together show the potential of the developed approach for targeted metabolomic studies.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Kynurenine; Mass spectrometry; Metabolites; Quantitative method; Tryptophan; Tyrosine

Mesh:

Substances:

Year:  2016        PMID: 26818237     DOI: 10.1016/j.chroma.2016.01.023

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  11 in total

Review 1.  Recent Trends in the Quantification of Biogenic Amines in Biofluids as Biomarkers of Various Disorders: A Review.

Authors:  Alina Plenis; Ilona Olędzka; Piotr Kowalski; Natalia Miękus; Tomasz Bączek
Journal:  J Clin Med       Date:  2019-05-09       Impact factor: 4.241

2.  Ultrahigh-Performance Liquid Chromatography Tandem Mass Spectrometry with Electrospray Ionization Quantification of Tryptophan Metabolites and Markers of Gut Health in Serum and Plasma-Application to Clinical and Epidemiology Cohorts.

Authors:  Luke Whiley; Leanne C Nye; Isobelle Grant; Nick Andreas; Katie E Chappell; Magali H Sarafian; Ravi Misra; Robert S Plumb; Matthew R Lewis; Jeremy K Nicholson; Elaine Holmes; Jonathan R Swann; Ian D Wilson
Journal:  Anal Chem       Date:  2019-03-25       Impact factor: 6.986

3.  Metabolic Profiling of Human Plasma and Urine, Targeting Tryptophan, Tyrosine and Branched Chain Amino Acid Pathways.

Authors:  Andrea Anesi; Josep Rubert; Kolade Oluwagbemigun; Ximena Orozco-Ruiz; Ute Nöthlings; Monique M B Breteler; Fulvio Mattivi
Journal:  Metabolites       Date:  2019-11-01

4.  High-Resolution Metabolomics of 50 Neurotransmitters and Tryptophan Metabolites in Feces, Serum, and Brain Tissues Using UHPLC-ESI-Q Exactive Mass Spectrometry.

Authors:  Yunjia Lai; Chih-Wei Liu; Liang Chi; Hongyu Ru; Kun Lu
Journal:  ACS Omega       Date:  2021-03-15

5.  Metabolic Signatures Associated with Severity in Hospitalized COVID-19 Patients.

Authors:  Judith Marín-Corral; Jose Rodríguez-Morató; Alex Gomez-Gomez; Sergi Pascual-Guardia; Rosana Muñoz-Bermúdez; Anna Salazar-Degracia; Purificación Pérez-Terán; Marcos I Restrepo; Olha Khymenets; Noemí Haro; Joan Ramon Masclans; Oscar J Pozo
Journal:  Int J Mol Sci       Date:  2021-04-30       Impact factor: 5.923

6.  Sex-Specific Effects of Synbiotic Exposure in Mice on Addictive-Like Behavioral Alterations Induced by Chronic Alcohol Intake Are Associated With Changes in Specific Gut Bacterial Taxa and Brain Tryptophan Metabolism.

Authors:  Nieves Pizarro; Elk Kossatz; Pedro González; Alba Gamero; Emma Veza; Cristina Fernández; Toni Gabaldón; Rafael de la Torre; Patricia Robledo
Journal:  Front Nutr       Date:  2021-11-26

7.  Metabolomic Workflow for the Accurate and High-Throughput Exploration of the Pathways of Tryptophan, Tyrosine, Phenylalanine, and Branched-Chain Amino Acids in Human Biofluids.

Authors:  Andrea Anesi; Kirsten Berding; Gerard Clarke; Catherine Stanton; John F Cryan; Noel Caplice; R Paul Ross; Andrea Doolan; Urska Vrhovsek; Fulvio Mattivi
Journal:  J Proteome Res       Date:  2022-04-05       Impact factor: 5.370

Review 8.  Novel technologies to characterize and engineer the microbiome in inflammatory bowel disease.

Authors:  Alba Boix-Amorós; Hilary Monaco; Elisa Sambataro; Jose C Clemente
Journal:  Gut Microbes       Date:  2022 Jan-Dec

9.  Kynurenine pathway metabolism following prenatal KMO inhibition and in Mecp2+/- mice, using liquid chromatography-tandem mass spectrometry.

Authors:  Caroline M Forrest; Peter G E Kennedy; Jean Rodgers; R Neil Dalton; Charles Turner; L Gail Darlington; Stuart R Cobb; Trevor W Stone
Journal:  Neurochem Int       Date:  2016-09-10       Impact factor: 3.921

10.  Evaluation of Metabolic Changes in Acute Intermittent Porphyria Patients by Targeted Metabolomics.

Authors:  Alex Gomez-Gomez; Paula Aguilera; Klaus Langohr; Gregori Casals; Cristina Pavon; Josep Marcos; Jordi To-Figueras; Oscar J Pozo
Journal:  Int J Mol Sci       Date:  2022-03-16       Impact factor: 5.923

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