Literature DB >> 22038588

Quantitative determination of taurine and related biomarkers in urine by liquid chromatography-tandem mass spectrometry.

Sanjeewa Gamagedara1, Honglan Shi, Yinfa Ma.   

Abstract

Current urinary bladder cancer diagnosis is commonly based on a biopsy obtained during cystoscopy. This invasive method causes discomfort and pain in patients. Recently, taurine and several other compounds such as L-phenylalanine and hippuric acid in urine were found to be indicators of bladder cancer. However, because of a lack of sensitive and accurate analytical techniques, it is impossible to detect these compounds in urine at low levels. In this study, using liquid chromatography-tandem mass spectrometry (LC-MS/MS), a noninvasive method was developed to separate and detect these compounds in urine. (15)N(2)-L-glutamine was used as the internal standard, and creatinine acted as an indicator for urine dilution. A phenyl-hexyl column was used for the separation at an isocratic condition of 0.2% formic acid in water and 0.2% formic acid in methanol. Analytes were detected in multiple-reaction monitoring with positive ionization mode. The limit of detection range is 0.18-6 nM and the limit of quantitation ranges from 0.6 to 17.6 nM. The parameters affecting separation and quantification were also investigated and optimized. Proper clinical validation of these biomarkers can be done using this reliable, fast, and simple method. Furthermore, with simple modifications, this method could be applied to other physiological fluids and other types of diseases.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22038588     DOI: 10.1007/s00216-011-5491-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  11 in total

1.  A high-performance liquid chromatography-tandem mass spectrometry-based targeted metabolomics kidney dysfunction marker panel in human urine.

Authors:  Jacek Klepacki; Jost Klawitter; Jelena Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Clin Chim Acta       Date:  2015-04-11       Impact factor: 3.786

2.  Recognition of early and late stages of bladder cancer using metabolites and machine learning.

Authors:  Valentina L Kouznetsova; Elliot Kim; Eden L Romm; Alan Zhu; Igor F Tsigelny
Journal:  Metabolomics       Date:  2019-06-20       Impact factor: 4.290

3.  Development and Validation of High Performance Liquid Chromatographic Method for Determination of Gentisic Acid and Related Renal Cell Carcinoma Biomarkers in Urine.

Authors:  Ting-An Yen; Kaushalya Sharma Dahal; Barry Lavine; Zayed Hassan; Sanjeewa Gamagedara
Journal:  Microchem J       Date:  2017-09-28       Impact factor: 4.821

4.  Evaluation of statistical techniques to normalize mass spectrometry-based urinary metabolomics data.

Authors:  Tyler Cook; Yinfa Ma; Sanjeewa Gamagedara
Journal:  J Pharm Biomed Anal       Date:  2019-09-03       Impact factor: 3.935

Review 5.  The effect of amino acids on the bladder cycle: a concise review.

Authors:  Özer Ural Çakıcı; Sibel Dinçer
Journal:  Amino Acids       Date:  2021-12-01       Impact factor: 3.520

6.  Three serum metabolite signatures for diagnosing low-grade and high-grade bladder cancer.

Authors:  Guangguo Tan; Haibo Wang; Jianlin Yuan; Weijun Qin; Xin Dong; Hong Wu; Ping Meng
Journal:  Sci Rep       Date:  2017-04-06       Impact factor: 4.379

7.  Sulfur speciation by HPLC-ICPQQQMS in complex human biological samples: taurine and sulfate in human serum and urine.

Authors:  Bassam Lajin; Walter Goessler
Journal:  Anal Bioanal Chem       Date:  2018-07-30       Impact factor: 4.142

Review 8.  Epigenomic and Metabolomic Integration Reveals Dynamic Metabolic Regulation in Bladder Cancer.

Authors:  Alba Loras; Cristina Segovia; José Luis Ruiz-Cerdá
Journal:  Cancers (Basel)       Date:  2021-05-31       Impact factor: 6.639

Review 9.  Hyperpolarized 13C magnetic resonance imaging, using metabolic imaging to improve the detection and management of prostate, bladder, and kidney urologic malignancies.

Authors:  Vijay Vishwanath; Dirk Mayer; Dexue Fu; Amelia Wnorowski; Mohummad Minhaj Siddiqui
Journal:  Transl Androl Urol       Date:  2018-10

10.  Bladder cancer recurrence surveillance by urine metabolomics analysis.

Authors:  A Loras; M Trassierra; D Sanjuan-Herráez; M C Martínez-Bisbal; J V Castell; G Quintás; J L Ruiz-Cerdá
Journal:  Sci Rep       Date:  2018-06-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.