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DMMIC derivatization-assisted liquid chromatography-mass spectrometry method for metabolite profiling of the glutathione anabolic pathway in esophageal cancer tissues and cells.

Authors :
Liu L
Lu YH
Wang MD
Zhao QF
Chen XP
Yin H
Feng CG
Zhang F
Source :
Journal of pharmaceutical analysis [J Pharm Anal] 2023 Nov; Vol. 13 (11), pp. 1365-1373. Date of Electronic Publication: 2023 Sep 22.
Publication Year :
2023

Abstract

In this work, a new pyrylium derivatization-assisted liquid chromatography-mass spectrometry (LC-MS) method was developed for metabolite profiling of the glutathione anabolic pathway (GAP) in cancer tissues and cells. The pyrylium salt of 6,7-dimethoxy-3-methyl isochromenylium tetrafluoroborate (DMMIC) was used to label the amino group of metabolites, and a reductant of dithiothreitol (DTT) was employed to stabilize the thiol group. By combining DMMIC derivatization with LC-MS, it was feasible to quantify the 13 main metabolites on the GAP in complex biological samples, which had good linearity ( R <superscript>2</superscript> = 0.9981-0.9999), precision (interday precision of 1.6%-19.0% and intraday precision of 1.4%-19.8%) and accuracy (83.4%-115.7%). Moreover, the recovery assessments in tissues (82.5%-107.3%) and in cells (98.1%-118.9%) with GSH- <superscript>13</superscript> C2, <superscript>15</superscript> N, and Cys- <superscript>15</superscript> N demonstrated the reliability of the method in detecting tissues and cells. Following a methodological evaluation, the method was applied successfully to investigate difference in the GAP between the carcinoma and para-carcinoma tissues of esophageal squamous cell carcinoma (ESCC) and the effect of p -hydroxycinnamaldehyde (CMSP) on the GAP in KYSE-150 esophageal cancer cells. The results demonstrate that the developed method provides a promising new tool to elucidate the roles of GAP in physiological and pathological processes, which can contribute to research on drugs and diseases.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2214-0883
Volume :
13
Issue :
11
Database :
MEDLINE
Journal :
Journal of pharmaceutical analysis
Publication Type :
Academic Journal
Accession number :
38174115
Full Text :
https://doi.org/10.1016/j.jpha.2023.08.016