Publications by authors named "Chao-Fu Ke"
Article Synopsis
- Myopic retinopathy is a significant cause of irreversible vision loss, particularly in children and adolescents, and this study aimed to analyze serum metabolic profiles related to the condition while developing a diagnostic model.
- Researchers utilized clinical and serum metabolic data from 576 participants and found that 34.2% had retinopathy, with notable differences in 27 metabolites between groups, indicating potential issues with energy metabolism.
- The study successfully created machine learning models, specifically logistic regression and XGBoost, that accurately predicted myopic retinopathy risk, supporting the idea that combining metabolic and clinical data can lead to more effective interventions for managing myopia in young people.
The retina is one of the most important structures in the eye, and the vascular health of the retina and choroid is critical to visual function. Metabolomics provides an analytical approach to endogenous small molecule metabolites in organisms, summarizes the results of "gene-environment interactions", and is an ideal analytical tool to obtain "biomarkers" related to disease information. This study discusses the metabolic changes in neovascular diseases involving the retina and discusses the progress of the study from the perspective of metabolomics design and analysis.
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