ArticleScientific reports2021
Plasma amino acids and oxylipins as potential multi-biomarkers for predicting diabetic macular edema.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Comprehensive Analysis of Different Subtypes of Oxylipins to Determine a LC-MS/MS Approach in Clinical Research.Metabolites · 2025Article
- Plasma metabolomic profiling of diabetic macular edema.Scientific reports · 2025Article
- Molecular-Genetic Biomarkers of Diabetic Macular Edema.Journal of clinical medicine · 2024Review
- Integrated Analysis of Microbiome and Metabolome Reveals Disease-Specific Profiles in Inflammatory Bowel Diseases and Intestinal Behçet's Disease.International journal of molecular sciences · 2024Article
- Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts.Environmental science & technology · 2024Article
- Qualitative and Quantitative Metabolite Comparison of Korean Traditional Alcoholic Beverages:Foods (Basel, Switzerland) · 2024Article
- Identification and mechanistic analysis of neurovascular coupling related biomarkers for diabetic macular edema.Frontiers in molecular biosciences · 2024Article
- Cross-sectional associations between prenatal maternal per- and poly-fluoroalkyl substances and bioactive lipids in three Environmental influences on Child Health Outcomes (ECHO) cohorts.medRxiv : the preprint server for health sciences · 2023Article
- Oral probiotics increased the proportion of Treg, Tfr, and Breg cells to inhibit the inflammatory response and impede gestational diabetes mellitus.Molecular medicine (Cambridge, Mass.) · 2023Article
- Untargeted Multiomics Approach Coupling Lipidomics and Metabolomics Profiling Reveals New Insights in Diabetic Retinopathy.International journal of molecular sciences · 2023Article
- Amino acid analysis as a method of discovering biomarkers for diagnosis of diabetes and its complications.Amino acids · 2023Review
- Untargeted plasma metabolome identifies biomarkers in patients with extracranial arteriovenous malformations.Frontiers in physiology · 2023Article
- The regular pattern of metabolite changes in mushroom Inonotus hispidus in different growth periods and exploration of their indicator compounds.Scientific reports · 2022Article
- Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.Current diabetes reports · 2022Review
- Effects of Danggui Buxue decoction on host gut microbiota and metabolism in GK rats with type 2 diabetes.Frontiers in microbiology · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the pathophysiologic characteristics of diabetic complications, we identified differences in plasma metabolites in subjects with type 2 diabetes (T2DM) with or without diabetic macular edema (DME) and a disease duration > 15 years. An cohort of older T2DM patients with prolonged disease duration was established, and clinical information and biospecimens were collected following the guidelines of the National Biobank of Korea. DME phenotypes were identified by ophthalmologic specialists. For metabolomics studies, propensity matched case and control samples were selected. To discover multi-biomarkers in plasma, non-targeted metabolite profiling and oxylipin profiling in the discovery cohort were validated in an extended cohort. From metabolomic studies, 5 amino acids (asparagine, aspartic acid, glutamic acid, cysteine, and lysine), 2 organic compounds (citric acid and uric acid) and 4 oxylipins (12-oxoETE, 15-oxoETE, 9-oxoODE, 20-carboxy leukotriene B4) were identified as candidate multi-biomarkers which can guide DME diagnosis among non-DME subjects. Receiver operating characteristic curves revealed high diagnostic value of the combined 5 amino acids and 2 organic compounds (AUC = 0.918), and of the 4 combined oxylipins (AUC = 0.957). Our study suggests that multi-biomarkers may be useful for predicting DME in older T2DM patients.
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