ArticleScientific reports2017
Tear proteome analysis in ocular surface diseases using label-free LC-MS/MS and multiplexed-microarray biomarker validation.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.
- [Liquid biopsy proteomics in ophthalmology : A clinical and scientific perspective].Die Ophthalmologie · 2026Pooled it
- Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.Eye (London, England) · 2023Pooled it
- The Lipocalin Apolipoprotein D Functional Portrait: A Systematic Review.Frontiers in physiology · 2021Pooled it
- Canine Tear Proteomics: A New Frontier in Veterinary Ophthalmology.Veterinary ophthalmology · 2026Review
- A comprehensive review of tear fluid proteome alterations in dry eye disease: Insights into pathophysiology and biomarker potential.The ocular surface · 2026Review
- Tear fluid proteomics: a comparative study of DIA and DDA mass spectrometry.Journal of mass spectrometry and advances in the clinical lab · 2025Article
- Tear proteomics reveals expressed proteins and potential pathways associated with diabetic keratopathy.Eye (London, England) · 2025Article
- Alterations in Tear Proteomes of Adults with Pre-Diabetes and Type 2 Diabetes Mellitus but Without Diabetic Retinopathy.Proteomes · 2025Article
- Emerging Age-Specific Therapeutic Approaches for Dry Eye Disease.Journal of clinical medicine · 2025Review
- Precision in Tear Fluid Biomarker Discovery: Quantitative Proteomic Profiling of Small-Volume, Individual Samples Using Capillary Tube Collection.Biomedicines · 2025Article
- Tear-derived extracellular vesicles as diagnostic biomarkers for ocular and neurodegenerative diseases: opportunities and challenges.Extracellular vesicles and circulating nucleic acids · 2025Review
- Tear proteomic analysis in keratoconus patients and potential biomarkers: a case-control study.Experimental biology and medicine (Maywood, N.J.) · 2025Observational
- Multimodal Approach in Dry Eye Disease Combining In Vivo Confocal Microscopy and HLA-DR Expression.Translational vision science & technology · 2024Article
- A Look into Ocular Diseases: The Pivotal Role of Omics Sciences in Ophthalmology Research.ACS measurement science au · 2024Review
- Potential New Target for Dry Eye Disease-Oxidative Stress.Antioxidants (Basel, Switzerland) · 2024Review
- Therapeutic Targets in the Management of Dry Eye Disease Associated with Sjögren's Syndrome: An Updated Review of Current Insights and Future Perspectives.Journal of clinical medicine · 2024Review
- Review
- AHP DB: a reference database of proteins in the human aqueous humor.Database : the journal of biological databases and curation · 2024Article
- The Potential Utility of Salivary and Tear Proteomics to Discriminate Sjögren's Disease from Non-Sjögren's Sicca.International journal of molecular sciences · 2023Review
- Tear Samples for Protein Extraction: Comparative Analysis of Schirmer's Test Strip and Microcapillary Tube Methods.Cureus · 2023Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We analyzed the tear film proteome of patients with dry eye (DE), meibomian gland dysfunction (MGD), and normal volunteers (CT). Tear samples were collected from 70 individuals. Of these, 37 samples were analyzed using spectral-counting-based LC-MS/MS label-free quantitation, and 33 samples were evaluated in the validation of candidate biomarkers employing customized antibody microarray assays. Comparative analysis of tear protein profiles revealed differences in the expression levels of 26 proteins, including protein S100A6, annexin A1, cystatin-S, thioredoxin, phospholipase A2, antileukoproteinase, and lactoperoxidase. Antibody microarray validation of CST4, S100A6, and MMP9 confirmed the accuracy of previously reported ELISA assays, with an area under ROC curve (AUC) of 87.5%. Clinical endpoint analysis showed a good correlation between biomarker concentrations and clinical parameters. In conclusion, different sets of proteins differentiate between the groups. Apolipoprotein D, S100A6, S100A8, and ceruloplasmin discriminate best between the DE and CT groups. The differences between antileukoproteinase, phospholipase A2, and lactoperoxidase levels allow the distinction between MGD and DE, and the changes in the levels of annexin A1, clusterin, and alpha-1-acid glycoprotein 1, between MGD and CT groups. The functional network analysis revealed the main biological processes that should be examined to identify new candidate biomarkers and therapeutic targets.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.