ArticleJournal of diabetes research2016
Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics.
Article in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- The Associations between Asprosine, Clusterin, Zinc Alpha-2-Glycoprotein, Nuclear Factor Kappa B, and Peroxisome Proliferator-Activated Receptor Gamma in the Development of Complications in Type 2 Diabetes Mellitus.Journal of clinical medicine · 2024Article
- NADPH Oxidase 3: Beyond the Inner Ear.Antioxidants (Basel, Switzerland) · 2024Review
- Genetic insights and emerging therapeutics in diabetic retinopathy: from molecular pathways to personalized medicine.Frontiers in genetics · 2024Review
- Glial cell proteome using targeted quantitative methods for potential multi-diagnostic biomarkers.Clinical proteomics · 2023Article
- A systematic proteomic profiling and pathway analysis of protein biomarkers in diabetic retinopathy with subsequent validation of the IL-6 upstream regulator.Journal of diabetes and metabolic disorders · 2023Article
- Multicenter Evaluation of Diagnostic Circulating Biomarkers to Detect Sight-Threatening Diabetic Retinopathy.JAMA ophthalmology · 2022Article
- Diagnostic circulating biomarkers to detect vision-threatening diabetic retinopathy: Potential screening tool of the future?Acta ophthalmologica · 2022Review
- Remission of Diabetes Following Bariatric Surgery: Plasma Proteomic Profiles.Journal of clinical medicine · 2021Article
- Profiling plasma-extracellular vesicle proteins and microRNAs in diabetes onset in middle-aged male participants in the ELSA-Brasil study.Physiological reports · 2021Article
- Mechanistic dissection of diabetic retinopathy using the protein-metabolite interactome.Journal of diabetes and metabolic disorders · 2020Article
- Plasma Gelsolin: Indicator of Inflammation and Its Potential as a Diagnostic Tool and Therapeutic Target.International journal of molecular sciences · 2018Review
- Change of ranibizumab-induced human vitreous protein profile in patients with proliferative diabetic retinopathy based on proteomics analysis.Clinical proteomics · 2018Article
- Roles of exosomes in the normal and diseased eye.Progress in retinal and eye research · 2017Review
- Machine Learning and Data Mining Methods in Diabetes Research.Computational and structural biotechnology journal · 2017Review
- GLP-1 Treatment Improves Diabetic Retinopathy by Alleviating Autophagy through GLP-1R-ERK1/2-HDAC6 Signaling Pathway.International journal of medical sciences · 2017Article
- A Quantitative Proteomics Approach to Clinical Research with Non-Traditional Samples.Proteomes · 2016Article
- Plasma Clusterin and the CLU Gene rs11136000 Variant Are Associated with Mild Cognitive Impairment in Type 2 Diabetic Patients.Frontiers in aging neuroscience · 2016Article
- Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicine.The EPMA journal · 2016Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic retinopathy (DR) is a common microvascular complication caused by diabetes mellitus (DM) and is a leading cause of vision impairment and loss among adults. Here, we performed a comprehensive proteomic analysis to discover biomarkers for DR. First, to identify biomarker candidates that are specifically expressed in human vitreous, we performed data-mining on both previously published DR-related studies and our experimental data; 96 proteins were then selected. To confirm and validate the selected biomarker candidates, candidates were selected, confirmed, and validated using plasma from diabetic patients without DR (No DR) and diabetics with mild or moderate nonproliferative diabetic retinopathy (Mi or Mo NPDR) using semiquantitative multiple reaction monitoring (SQ-MRM) and stable-isotope dilution multiple reaction monitoring (SID-MRM). Additionally, we performed a multiplex assay using 15 biomarker candidates identified in the SID-MRM analysis, which resulted in merged AUC values of 0.99 (No DR versus Mo NPDR) and 0.93 (No DR versus Mi and Mo NPDR). Although further validation with a larger sample size is needed, the 4-protein marker panel (APO4, C7, CLU, and ITIH2) could represent a useful multibiomarker model for detecting the early stages of DR.
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