ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2018
Tear film proteome in age-related macular degeneration.
Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Recent Advances in Proteomics-Based Approaches to Studying Age-Related Macular Degeneration: A Systematic Review.International journal of molecular sciences · 2022Pooled it
- Biomarkers for Nonexudative Age-Related Macular Degeneration and Relevance for Clinical Trials: A Systematic Review.Molecular diagnosis & therapy · 2021Pooled it
- Fast nanoDSF Tear Fluid Profiling: Toward Diagnosis of Age-Related Macular Degeneration.Life (Basel, Switzerland) · 2026Article
- Review
- Exploring tear biomarkers with shotgun proteomics for retinoblastoma diagnosis: a pilot study.The journal of liquid biopsy · 2026Article
- Translational Molecular and Fluid Biomarkers for Age-Related Macular Degeneration: Practical Insights from Animal Models and Humans.Biomolecules · 2025Review
- Drug Delivery Technologies for the Treatment of Age-Related Macular Degeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Proteomic Analysis of Tear Films in Healthy Female and Male Dogs Using MALDI-TOF (Matrix Assisted Laser Desortion/Ionization Time-of-Flight) Mass Spectrometry.Animals : an open access journal from MDPI · 2025Article
- 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
- Comparative analysis of human tear fluid and aqueous humor proteomes.The ocular surface · 2024Article
- Oxidative Stress, Persistent Inflammation and Blood Coagulation Alterations in Serum Proteome of Patients with Neovascular Age-Related Macular Degeneration.Life (Basel, Switzerland) · 2024Article
- Systemic Blood Proteome Patterns Reflect Disease Phenotypes in Neovascular Age-Related Macular Degeneration.International journal of molecular sciences · 2023Article
- RPE-Directed Gene Therapy Improves Mitochondrial Function in Murine Dry AMD Models.International journal of molecular sciences · 2023Article
- Proteomic Analysis of Tear Film in Canine Diabetic Patients with And Without Retinopathy.Journal of veterinary research · 2022Article
- Changes in Tear Proteomic Profile in Ocular Diseases.International journal of environmental research and public health · 2022Review
- Mass spectrometry-based tear proteomics for noninvasive biomarker discovery.Mass spectrometry reviews · 2022Review
- Targeted Analysis of Tears Revealed Specific Altered Metal Homeostasis in Age-Related Macular Degeneration.Investigative ophthalmology & visual science · 2022Article
- Evaluation of vascular endothelial growth factor (VEGF) level in the tears and serum of age-related macular degeneration patients.Scientific reports · 2022Article
- Comparison of Different Mass Spectrometry Workflows for the Proteomic Analysis of Tear Fluid.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeAge-related macular degeneration (AMD) is the main reason for blindness in elderly people in the developed countries. Current screening protocols have limitations in detecting the early signs of retinal degeneration. Therefore, it would be desirable to find novel biomarkers for early detection of AMD. Development of novel biomarkers would help in the prevention, diagnostics, and treatment of AMD. Proteomic analysis of tear film has shown promise in this research area. If an optimal set of biomarkers could be obtained from accessible body fluids, it would represent a reliable way to monitor disease progression and response to novel therapies.
methodsTear films were collected on Schirmer strips from a total of 22 patients (8 with wet AMD, 6 with dry AMD, and 8 control individuals). 2D electrophoresis was used to separate tear film proteins prior to their identification with matrix-assisted laser desorption/ionization time of flight spectrometer (MALDI-TOF/TOF) and matching with functional databases.
resultsA total of 342 proteins were identified. Most of them were previously described in various proteomic studies concerning AMD. Shootin-1, histatin-3, fidgetin-like protein 1, SRC kinase signaling inhibitor, Graves disease carrier protein, actin cytoplasmic 1, prolactin-inducible protein 1, and protein S100-A7A were upregulated in the tear film samples isolated from AMD patients and were not previously linked with this disease in any proteomic analysis.
conclusionThe upregulated proteins supplement our current knowledge of AMD pathogenesis, providing evidence that certain specific proteins are expressed into the tear film in AMD. As far we are aware, this is the first study to have undertaken a comprehensive in-depth analysis of the human tear film proteome in AMD patients.
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Registered trials
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.