Abstract：
We examined the lipid profiles in the aqueous humor (AH) of myopic patients to identify differences and investigate the relationships among dissertating lipids. Additionally, we assessed spherical equivalents and axial lengths to explore the pathogenesis of myopia. Ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was employed to qualitatively and quantitatively analyze the lipid composition of samples from myopic patients with axial lengths <26 mm (Group A) and >28 mm (Group B). Differences in lipid profiles between the two groups were determined using univariate and multivariate analyses. Receiver operator characteristic (ROC) curves were used to identify discriminating lipids. Spearman correlation analysis explored the associations between lipid concentrations and biometric parameters. Three hundred and nine lipids across 21 lipid classes have been identified in this study. Five lipids showed significant differences between Group B and Group A (VIP >1, P < 0.05): BMP (20:3/22:3), PG (22:1/24:0), PS (14:1/22:4), TG (44:2)_FA18:2, and TG (55:3)_FA18:1. The area under the curve (AUC) for these lipids was >0.75. Notably, the concentrations of BMP (20:3/22:3), PS (14:1/22:4), and TG (55:3)_FA18:1 were correlated with spherical equivalents, while BMP (20:3/22:3) and PS (14:1/22:4) correlated with axial lengths. Our study identified five differential lipids in myopic patients, with three showing significant correlations with the degree of myopia. These findings enhance our understanding of myopia pathogenesis through lipidomic alterations, emphasizing changes in cell membrane composition and function, energy metabolism and storage, and pathways involving inflammation, peroxisome proliferator-activated receptors (PPAR), and metabolic processes related to phosphatidylserine, phosphatidylglycerol, triglycerides, polyunsaturated fatty acids, and cholesterol.
摘要：
我们检查了近视患者的房水（AH）中的脂质分布，以确定差异并研究脂质之间的关系。此外,我们评估了等效球形和轴向长度，以探讨近视的发病机制。采用超高效液相色谱-串联质谱（UHPLC-MS/MS）对眼轴长度<26mm（A组）和>28mm（B组）的近视患者样品的脂质组成进行定性和定量分析。使用单变量和多变量分析确定两组之间的脂质分布差异。使用受试者操作特征(ROC)曲线来鉴定鉴别脂质。Spearman相关性分析探讨了脂质浓度与生物特征参数之间的关联。在这项研究中已经鉴定了21种脂质类别的三百九种脂质。B组与A组5种血脂差异有统计学意义(VIP>1,P<0.05):BMP(20:3/22:3),PG(22:1/24:0),PS(14:1/22:4),TG(44:2)_FA18:2和TG(55:3)_FA18:1。这些脂质的曲线下面积(AUC)>0.75。值得注意的是,BMP的浓度（20:3/22:3），PS(14:1/22:4),和TG(55:3)_FA18:1与球形当量相关，而BMP(20:3/22:3)和PS(14:1/22:4)与轴向长度相关。我们的研究确定了近视患者的五种不同的脂质，其中三个与近视程度有显著相关性。这些发现通过脂质组学改变增强了我们对近视发病机制的理解，强调细胞膜组成和功能的变化，能量代谢和储存，以及涉及炎症的途径，过氧化物酶体增殖物激活受体（PPAR），和与磷脂酰丝氨酸相关的代谢过程，磷脂酰甘油，甘油三酯，多不饱和脂肪酸，和胆固醇。
