ArticleBMJ open diabetes research & care2020
Plasma phenylalanine and tyrosine and their interactions with diabetic nephropathy for risk of diabetic retinopathy in type 2 diabetes.
Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 32 citations in OpenAlex.
- Trial
- Diabetic retinopathy: why some eyes suffer more - a focus on retina-specific risk factors and metabolic memory.Journal of translational medicine · 2026Review
- Phenylalanine homeostasis in metabolic disorders: epidemiological trends, pathophysiological mechanisms, and clinical treatment.Frontiers in endocrinology · 2026Review
- Metabolic profiles of IgA nephropathy, membranous nephropathy, and diabetic nephropathy.Archives of medical science : AMS · 2026Article
- Analysis of potential biomarkers for diabetic kidney disease and non-diabetic kidney disease based on urinary metabolomics analysis.BMC nephrology · 2025Article
- Unveiling biomarkers via plasma metabolome profiling for diabetic macrovascular and microvascular complications.Cardiovascular diabetology · 2025Article
- L-Phenylalanine promotes liver steatosis by inhibiting BNIP3-mediated mitophagy.Molecular medicine (Cambridge, Mass.) · 2025Article
- Targeted Analysis of Serum and Urinary Metabolites for Early Chronic Kidney Disease.International journal of molecular sciences · 2025Article
- Metabolomic studies reveal and validate potential biomarkers of diabetic retinopathy in two Chinese datasets with type 2 diabetes: a cross-sectional study.Cardiovascular diabetology · 2024Article
- Emerging Biomarkers in Metabolomics: Advancements in Precision Health and Disease Diagnosis.International journal of molecular sciences · 2024Review
- Causality of Blood Metabolites on Proliferative Diabetic Retinopathy: Insights From a Genetic Perspective.Journal of diabetes research · 2024Article
- Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics.Metabolites · 2023Article
- Metabolomic Investigation of Blood and Urinary Amino Acids and Derivatives in Patients with Type 2 Diabetes Mellitus and Early Diabetic Kidney Disease.Biomedicines · 2023Article
- Metabolite Profiling of the Gut-Renal-Cerebral Axis Reveals a Particular Pattern in Early Diabetic Kidney Disease in T2DM Patients.International journal of molecular sciences · 2023Article
- Prevalence of Diabetic Retinopathy and Use of Common Oral Hypoglycemic Agents Increase the Risk of Diabetic Nephropathy-A Cross-Sectional Study in Patients with Type 2 Diabetes.International journal of environmental research and public health · 2023Article
- Article
- A Metabolism-Based Interpretable Machine Learning Prediction Model for Diabetic Retinopathy Risk: A Cross-Sectional Study in Chinese Patients with Type 2 Diabetes.Journal of diabetes research · 2023Article
- Review
- The Effect of Mild Renal Dysfunction on the Assessment of Plasma Amino Acid Concentration and Insulin Resistance in Patients with Type 2 Diabetes Mellitus.Journal of diabetes research · 2022Article
- The impact of ethnicity and intra-pancreatic fat on the postprandial metabolome response to whey protein in overweight Asian Chinese and European Caucasian women with prediabetes.Frontiers in clinical diabetes and healthcare · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTight control of hyperglycemia reduces risk of diabetic retinopathy (DR), but the residual risk remains high. This study aimed to explore relationships between plasma phenylalanine and tyrosine with DR in type 2 diabetes (T2D) and interactions between the two amino acids, and their secondary interaction with renal dysfunction. RESEARCH DESIGN AND
methodsWe extracted data of 1032 patients with T2D from tertiary hospital consecutively from May 2015 to August 2016. Binary logistic regression models with restricted cubic spline were used to check potential non-linear associations and to obtain ORs and 95% CIs of variables under study. Addictive interaction was estimated using relative excess risk due to interaction, attributable proportion due to interaction and synergy index. Area under the receiver operating characteristic curve was used to check increased predictive values.
resultsOf 1032 patients, 162 suffered from DR. Copresence of low phenylalanine and low tyrosine increased DR risk (OR 6.01, 95% CI 1.35 to 26.8), while either of them alone did not have a significant effect with significant additive interaction. Presence of diabetic nephropathy further increased the OR of copresence of low phenylalanine and low tyrosine for DR to 25.9 (95% CI 8.71 to 76.9) with a significant additive interaction. Inclusion of phenylalanine and tyrosine in a traditional risk factor model significantly increased area under the curve from 0.81 to 0.83 (95% CI 0.80 to 0.86).
conclusionPlasma low phenylalanine and low tyrosine worked independently and synergistically to increase the risk of DR in T2D. Presence of renal dysfunction further amplified the effect of copresence of low phenylalanine and low tyrosine on DR risk.
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