ArticleBMJ open diabetes research & care2021
Metabolomics-based multidimensional network biomarkers for diabetic retinopathy identification in patients with type 2 diabetes mellitus.
Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Blood metabolome of cardiovascular disease, diabetic kidney disease, and diabetic retinopathy in type 2 diabetes patients: A systematic review and meta-analysis.Endocrine research · 2025Pooled it
- Study on BCVA, CMT, CME, Curative Effect, and Prognostic Value of DR Sufferers Based on Surgical Therapy Combined with VEGF Therapy at Different Times.Contrast media & molecular imaging · 2022Trial
- Artificial intelligence in diabetic retinopathy: from automated screening to risk-stratified care.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- [Establishment and application of a knowledge-directed pseudo-targeted analytical method for diabetic retinopathy].Se pu = Chinese journal of chromatography · 2026Article
- The association between estimated glucose disposal rate and self-reported diabetic retinopathy: evidence from two independent cohorts and machine learning.Frontiers in endocrinology · 2026Article
- Multi-omics analysis of potential metabolic networks linking peripheral metabolic changes to inflammatory retinal conditions in STZ-induced early diabetic retinopathy.Biochemistry and biophysics reports · 2025Article
- Insights into the molecular underpinning of type 2 diabetes complications.Human molecular genetics · 2025Review
- New insights of potential biomarkers in diabetic retinopathy: integrated multi-omic analyses.Frontiers in endocrinology · 2025Review
- Multi-Omics Integration With Machine Learning Identified Early Diabetic Retinopathy, Diabetic Macula Edema and Anti-VEGF Treatment Response.Translational vision science & technology · 2024Article
- Deciphering the role of oleic acid in diabetic retinopathy: an empirical analysis of monounsaturated fatty acids.Nutrition & metabolism · 2024Article
- Integration of texture analysis based on DCE-MRI KBMC medical imaging · 2024Article
- Metabolomics facilitates differential diagnosis in common inherited retinal degenerations by exploring their profiles of serum metabolites.Nature communications · 2024Article
- Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Article
- A case report of malignant struma ovarii with papillary thyroid carcinoma.Clinical case reports · 2024Article
- Gut microbiota-dependent phenylacetylglutamine in cardiovascular disease: current knowledge and new insights.Frontiers of medicine · 2024Review
- Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review.Metabolites · 2024Review
- Metabolites as Risk Factors for Diabetic Retinopathy in Patients With Type 2 Diabetes: A 12-Year Follow-up Study.The Journal of clinical endocrinology and metabolism · 2023Article
- Recent Advances and Perspectives in Relation to the Metabolomics-Based Study of Diabetic Retinopathy.Metabolites · 2023Review
- Article
- Inulin and Chinese Gallotannin Affect Meat Quality and Lipid Metabolism on Hu Sheep.Animals : an open access journal from MDPI · 2022Article
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Authors and funding
15 authors.
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Abstract
introductionDespite advances in diabetic retinopathy (DR) medications, early identification is vitally important for DR administration and remains a major challenge. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) based on a widely targeted metabolomics approach to detect DR among patients with type 2 diabetes mellitus (T2DM) efficiently. RESEARCH DESIGN AND
methodsIn this propensity score matching-based case-control study, we used ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry system for serum metabolites assessment of 69 pairs of patients with T2DM with DR (cases) and without DR (controls). Comprehensive analysis, including principal component analysis, orthogonal partial least squares discriminant analysis, generalized linear regression models and a 1000-times permutation test on metabolomics characteristics were conducted to detect candidate MDNBs depending on the discovery set. Receiver operating characteristic analysis was applied for the validation of capability and feasibility of MDNBs based on a separate validation set.
resultsWe detected 613 features (318 in positive and 295 in negative ESI modes) in which 63 metabolites were highly relevant to the presence of DR. A panel of MDNBs containing linoleic acid, nicotinuric acid, ornithine and phenylacetylglutamine was determined based on the discovery set. Depending on the separate validation set, the area under the curve (95% CI), sensitivity and specificity of this MDNBs system were 0.92 (0.84 to 1.0), 96% and 78%, respectively.
conclusionsThis study demonstrates that metabolomics-based MDNBs are associated with the presence of DR and capable of distinguishing DR from T2DM efficiently. Our data also provide new insights into the mechanisms of DR and the potential value for new treatment targets development. Additional studies are needed to confirm our findings.
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