Development of a HPLC-MS/MS Method for Assessment of Thiol Redox Status in Human Tear Fluids
Abstract
Oxidative stress is reported to be part of the pathology of many ocular diseases. For the diagnosis of ocular diseases, tear fluid has unique advantages. Although numerous analytical methods exist for the measurement of different types of biomolecules in tear fluid, few have been reported for comprehensive understanding of oxidative stress-related thiol redox signaling. In this study, a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method was developed to determine a panel of twelve metabolites that systematically covered several thiol metabolic pathways. With optimization of MS/MS parameters and HPLC mobile phases, this method was sensitive (LOQ as low as 0.01 ng/ml), accurate (80-125% spike recovery) and precise ( < 10% RSD). This LC-MS/MS method combined with a simple tear fluid collection with Schirmer test strip followed by ultrafiltration allowed the high-throughput analysis for efficient determination of metabolites associated with thiol redox signaling in human tear fluids. The method was then applied to a small cohort of tear fluids obtained from healthy individuals. The method presented here provides a new technique to facilitate future work aiming to determine the complex thiol redox signaling in tear fluids for accurate assessment and diagnosis of ocular diseases.
Recommended Citation
J. Wu et al., "Development of a HPLC-MS/MS Method for Assessment of Thiol Redox Status in Human Tear Fluids," Analytical Biochemistry, vol. 629, article no. 114295, Elsevier, Sep 2021.
The definitive version is available at https://doi.org/10.1016/j.ab.2021.114295
Department(s)
Computer Science
Second Department
Chemistry
Keywords and Phrases
Biomarker; Glutathione; HPLC-MS/MS; Ocular disease; Tear fluid; Thiol
International Standard Serial Number (ISSN)
0003-2697
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Elsevier, All rights reserved.
Publication Date
15 Sep 2021
PubMed ID
34186074