ArticleMolecular vision2016
Serum molecular signature for proliferative diabetic retinopathy in Saudi patients with type 2 diabetes.
Article in Molecular vision, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Clinical serum lipidomic profiling revealed potential lipid biomarkers for early diabetic retinopathy.Scientific reports · 2024Article
- Exploring early DNA methylation alterations in type 1 diabetes: implications of glycemic control.Frontiers in endocrinology · 2024Article
- Oxidative Stress Mediates Epigenetic Modifications and the Expression of miRNAs and Genes Related to Apoptosis in Diabetic Retinopathy Patients.Journal of clinical medicine · 2023Article
- Quantification of DNA methylation for carcinogenic risk estimation in patients with non-alcoholic steatohepatitis.Clinical epigenetics · 2022Article
- Clinical and Molecular-Genetic Insights into the Role of Oxidative Stress in Diabetic Retinopathy: Antioxidant Strategies and Future Avenues.Antioxidants (Basel, Switzerland) · 2020Article
- KCNH3 Predicts Poor Prognosis and Promotes Progression in Ovarian Cancer.OncoTargets and therapy · 2020Article
- Qualitative and Quantitative Analysis of B-Cell-Produced Antibodies in Vitreous Humor of Type 2 Diabetic Patients with Diabetic Retinopathy.Journal of diabetes research · 2020Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe risk of vision loss from proliferative diabetic retinopathy (PDR) can be reduced with timely detection and treatment. We aimed to identify serum molecular signatures that might help in the early detection of PDR in patients with diabetes.
methodsA total of 40 patients with diabetes were recruited at King Khaled Eye Specialist Hospital in Riyadh, Saudi Arabia, 20 with extensive PDR and 20 with mild non-proliferative diabetic retinopathy (NPDR). The two groups were matched in age, gender, and known duration of diabetes. We examined the whole genome transcriptome of blood samples from the patients using RNA sequencing. We built a model using a support vector machine (SVM) approach to identify gene combinations that can classify the two groups.
resultsDifferentially expressed genes were calculated from a total of 25,500 genes. Six genes (CCDC144NL, DYX1C1, KCNH3, LOC100506476, LOC285847, and ZNF80) were selected from the top 26 differentially expressed genes, and a combinatorial molecular signature was built based on the expression of the six genes. The mean area under receiver operating characteristic (ROC) curve was 0.978 in the cross validation. The corresponding sensitivity and specificity were 91.7% and 91.5%, respectively.
conclusionsOur preliminary study defined a combinatorial molecular signature that may be useful as a potential biomarker for early detection of proliferative diabetic retinopathy in patients with diabetes. A larger-scale study with an independent cohort of samples is necessary to validate and expand these findings.
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27307695PMC4902182W2421809008What OpenQuestion holds
Registered trials
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