Simultaneous LC-MS/MS-Based Quantification of Free 3-Nitro-l-tyrosine, 3-Chloro-l-tyrosine, and 3-Bromo-l-tyrosine in Plasma of Colorectal Cancer Patients during Early Postoperative Period
Mariusz Grzegorz Fleszar , Paulina Fortuna , Marek Zawadzki , Bogna Kosyk , Małgorzata Krzystek-Korpacka
AbstractQuantification with satisfactory specificity and sensitivity of free 3-Nitro-l-tyrosine (3-NT), 3-Chloro-l-tyrosine (3-CT), and 3-Bromo-l-tyrosine (3-BT) in biological samples as potential inflammation, oxidative stress, and cancer biomarkers is analytically challenging. We aimed at developing a liquid chromatography–tandem mass spectrometry (LC-MS/MS)-based method for their simultaneous analysis without an extract purification step by solid-phase extraction. Validation of the developed method yielded the following limits of detection (LOD) and quantification (LOQ) for 3-NT, 3-BT, and 3-CT: 0.030, 0.026, 0.030 ng/mL (LODs) and 0.100, 0.096, 0.098 ng/mL (LOQs). Coefficients of variation for all metabolites and tested concentrations were <10% and accuracy was within 95–105%. Method applicability was tested on colorectal cancer patients during the perioperative period. All metabolites were significantly higher in cancer patients than healthy controls. The 3-NT was significantly lower in advanced cancer and 3-BT showed a similar tendency. Dynamics of 3-BT in the early postoperative period were affected by type of surgery and presence of surgical site infections. In conclusion, a sensitive and specific LC-MS/MS method for simultaneous quantification of free 3-NT, 3-BT, and 3-CT in human plasma has been developed.
|Journal series||Molecules, ISSN 1420-3049, (N/A 100 pkt)|
|Publication size in sheets||0.8|
|Keywords in English||metabolomics; liquid chromatography–tandem mass spectrometry; oxidative stress; nitrosative stress; inflammation; minimal invasive surgery; biomarkers|
|License||Journal (articles only); published final; ; with publication|
|Score||= 100.0, 16-02-2021, ArticleFromJournal|
|Publication indicators||: 2017 = 1.146; : 2018 = 3.06 (2) - 2018=3.38 (5)|
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