Tear Fluid-Based Metabolomics Profiling in Chronic Dacryocystitis Patients

Chronic dacryocystitis (CD) can result in severe complications and vision impairment due to ongoing microbial infections and persistent tearing. Tear fluid, which contains essential components vital for maintaining ocular surface health, has been investigated for its potential in the noninvasive identification of ocular biomarkers through metabolomics analysis. In this study, we employed UHPLC-MS/MS to analyze the tear metabolome of CD patients. UHPLC-MS/MS analysis of tear samples from CD patients revealed significant metabolic alterations. Compared with the control group, 298 metabolites were elevated, while 142 were decreased. KEGG pathway analysis suggested that these changes primarily affected arginine and proline metabolism, biosynthesis of amino acids, and phenylalanine biosynthesis in CD. Notably, 3-dehydroquinic acid, anthranilic acid, citric acid, and l-isoleucine emerged as potential biomarker candidates of CD with high diagnostic accuracy (AUC = 0.94). These findings suggest that tear fluid metabolism, particularly amino acid biosynthesis, plays a significant role in the pathogenesis of CD. Uncovering these metabolic products and pathways provides valuable insights into the mechanisms underlying CD and paves the way for the development of diagnostic tools and targeted therapies.

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Publication Details

Journal
Journal of Proteome Research
Published
2024-12-13
DOI
https://doi.org/10.1021/acs.jproteome.4c00592
Citations
1
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.54

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article

Tear Fluid-Based Metabolomics Profiling in Chronic Dacryocystitis Patients

Shuai Ben, Jiao Xia, Qun Zheng, Qin Jiang et al.
1 citations
Journal of Proteome Research
Ocular Surface and Contact Lens
0.54
article

Tear Fluid-Based Metabolomics Profiling in Chronic Dacryocystitis Patients

Shuai Ben, Jiao Xia, Qun Zheng, Qin Jiang, Biao Yan, Wan Mu, Mudi Yao, Ya Zhao
article en
1 citations

Abstract

Chronic dacryocystitis (CD) can result in severe complications and vision impairment due to ongoing microbial infections and persistent tearing. Tear fluid, which contains essential components vital for maintaining ocular surface health, has been investigated for its potential in the noninvasive identification of ocular biomarkers through metabolomics analysis. In this study, we employed UHPLC-MS/MS to analyze the tear metabolome of CD patients. UHPLC-MS/MS analysis of tear samples from CD patients revealed significant metabolic alterations. Compared with the control group, 298 metabolites were elevated, while 142 were decreased. KEGG pathway analysis suggested that these changes primarily affected arginine and proline metabolism, biosynthesis of amino acids, and phenylalanine biosynthesis in CD. Notably, 3-dehydroquinic acid, anthranilic acid, citric acid, and l-isoleucine emerged as potential biomarker candidates of CD with high diagnostic accuracy (AUC = 0.94). These findings suggest that tear fluid metabolism, particularly amino acid biosynthesis, plays a significant role in the pathogenesis of CD. Uncovering these metabolic products and pathways provides valuable insights into the mechanisms underlying CD and paves the way for the development of diagnostic tools and targeted therapies.

Journal of Proteome ResearchVol. 24(1)
Shanghai Jiao Tong University (CN), Fudan University (CN), Anyang Eye Hospital (CN), Eye & ENT Hospital of Fudan University (CN), Shanghai First People's Hospital (CN), He Eye Hospital (CN), State Key Laboratory of Medical Neurobiology, Nanjing Medical University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 26%
Ocular Surface and Contact Lens
0.54
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