Human tear metabolites associated with nucleoside-signalling pathways in bacterial keratitis. (March 2023)

• Record Type: Journal Article
• Authors: Shrestha, Gauri Shankar; Vijay, Ajay Kumar; Stapleton, Fiona; White, Andrew; Pickford, Russell; Carnt, Nicole
• Is Part Of: Experimental eye research. Volume 228(2023)
• Publication Date: 2023-03
• Subjects: Bacterial keratitis -- Tears -- Nucleosides -- Purines -- Metabolites -- Mass spectrometry -- Metabolomics -- Profiling; Ophthalmology -- Periodicals; Eye -- Periodicals; Œil -- Périodiques; Ophthalmology; Periodicals; Electronic journals; 612.8405
• DOI: 10.1016/j.exer.2023.109409
• Languages: English
• ISSNs: 0014-4835

Abstract

Abstract: Objective: The study aimed to profile and quantify tear metabolites associated with bacterial keratitis using both untargeted and targeted metabolomic platforms. Methods: Untargeted metabolomic analysis using liquid-chromatography-Q Exactive-HF mass-spectrometry explored tear metabolites significantly associated with bacterial keratitis (n = 6) compared to healthy participants (n = 6). Differential statistics and principal component analysis determined meaningful metabolite differences between cases and controls. Purines and nucleosides were further quantified and compared between 15 cases and 15 controls in the targeted metabolomic platform using TSQ quantum access triple quadrupole mass spectrometry. Compound quantification was done by plotting the calibration curves and the difference in the compound levels was evaluated using the Wilcoxon rank-sum test. Results: In the untargeted analysis, 49 tear metabolites (27 upregulated and 22 downregulated) were differentially expressed between cases and controls. The untargeted analysis indicated that the purine metabolism pathway was the most affected by bacterial keratitis. Metabolite quantification in the targeted analysis further confirmed the upregulation of xanthine (P = 0.02) and downregulation of adenine (P < 0.0001), adenosine (P < 0.0001) and cytidine (P < 0.0001) in the tears of participants with bacterial keratitis compared to that of healthy participants. Conclusions: Bacterial keratitis significantly changes the tear metabolite profile, including five major compound classes such as indoles, amino acids, nucleosides, carbohydrates, and steroids. This study also indicates that tear fluids can be used to map the metabolic pathways and uncover metabolic markers associated with bacterial keratitis. Conceivably, the inhibition of nucleoside synthesis may contribute to the pathophysiology of bacterial keratitis because nucleosides are required for maintaining cellular energy homeostasis and immune adaptability. Highlights: The expression of a wide range of metabolites in bacterial keratitis is implicated in driving several metabolic activities. Nucleoside signalling noted in the study may contribute to the pathophysiology of bacterial keratitis. Tear metabolomics offers a suitable basis for investigating host-pathogen interaction in bacterial keratitis.