Department of Ophthalmology, Renmin Hospital of Wuhan University, No. 238 Jie Fang Road, Wuhan, 430060, Hubei, China.
Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
Mol Neurobiol. 2024 Oct;61(10):8026-8037. doi: 10.1007/s12035-024-04093-9. Epub 2024 Mar 8.
Central retinal artery occlusion (CRAO) is a kind of ophthalmic emergency which may cause loss of functional visual acuity. However, the limited treatment options emphasize the significance of early disease prevention. Metabolomics has the potential to be a powerful tool for early identification of individuals at risk of CRAO. The aim of the study was to identify potential biomarkers for CRAO through a comprehensive analysis. We employed metabolomics analysis to compare venous blood samples from CRAO patients with cataract patients for the venous difference, as well as arterial and venous blood from CRAO patients for the arteriovenous difference. The analysis of metabolites showed that PC(P-18:0/22:6(4Z,7Z,10Z,13Z,16Z,19Z)), PC(P-18:0/20:4(5Z,8Z,11Z,14Z)) and octanoylcarnitine were strongly correlated with CRAO. We also used univariate logistic regression, random forest (RF), and support vector machine (SVM) to screen clinical parameters of patients and found that HDL-C and ApoA1 showed significant predictive efficacy in CRAO patients. We compared the predictive performance of the clinical parameter model with combined model. The prediction efficiency of the combined model was significantly better with area under the receiver operating characteristic curve (AUROC) of 0.815. Decision curve analysis (DCA) also exhibited a notably higher net benefit rate. These results underscored the potency of these three substances as robust predictors of CRAO occurrence.
视网膜中央动脉阻塞(CRAO)是一种眼科急症,可能导致功能性视力丧失。然而,有限的治疗选择强调了早期疾病预防的重要性。代谢组学有可能成为早期识别 CRAO 风险个体的有力工具。本研究旨在通过综合分析确定 CRAO 的潜在生物标志物。我们采用代谢组学分析比较了 CRAO 患者与白内障患者的静脉血样本、CRAO 患者的动静脉血样本,以寻找静脉差异和动脉静脉差异。代谢物分析表明,PC(P-18:0/22:6(4Z,7Z,10Z,13Z,16Z,19Z))、PC(P-18:0/20:4(5Z,8Z,11Z,14Z))和辛酰肉碱与 CRAO 密切相关。我们还使用单变量逻辑回归、随机森林(RF)和支持向量机(SVM)筛选患者的临床参数,发现 HDL-C 和 ApoA1 在 CRAO 患者中有显著的预测效果。我们比较了临床参数模型和联合模型的预测性能。联合模型的预测效率明显更好,ROC 曲线下面积(AUROC)为 0.815。决策曲线分析(DCA)也显示出更高的净效益率。这些结果强调了这三种物质作为 CRAO 发生的有力预测因子的潜力。