综合的多omics和机器学习方法揭示了脂质代谢生物标志物和与年龄相关的梅博米腺功能障碍中的信号

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Induction of Ocular Surface Inflammation and Collection of Involved Tissues

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Yuchen Cai^1,2, Siyi Zhang^1,2, Liangbo Chen^1,2

¹Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Computational and structural biotechnology journal

|September 7, 2023

概括

衰老显著改变梅博姆腺,影响视力. 这项研究揭示了与年龄相关的MGD相关的关键脂质变化和蛋白质,确定了这种常见眼睛疾病的潜在诊断生物标志物.

科学领域:

眼科医生眼科眼科
分子生物学分子生物学
生物化学生物化学

背景情况:

梅博米腺功能障碍 (MGD) 是一种常见的眼睛表面疾病,影响视力和生活质量.
与年龄相关的MGD (ARMGD) 背后的分子机制尚不清楚.
衰老是MGD发展和进展的重要风险因素.

研究的目的:

在ARMGD中研究脂质代谢变化,使用集成的多omics方法.
确定与ARMGD相关的新型蛋白质和脂质生物标志物.
建立一个机器学习模型来诊断ARMGD.

主要方法:

从年轻和老年小鼠的小鼠梅博米腺的蛋白质和脂质学分析,使用LC-MS/MS.
差异表达蛋白质的功能分析.
机器学习 (LASSO算法) 用于生物标记物识别.

主要成果:

确定了375种差异表达的蛋白质,突出显示了胆固醇生物合成途径.
检测到47种不同表达的脂类物种,胆固醇 (ChE) 降低,三糖醇 (TG) 增加.
通过机器学习验证了CHE26:0),CHE26:1和CHE30:1作为有前途的诊断生物标志物.

结论:

衰老显著改变了梅博姆腺脂质代谢和蛋白质表达.
胆固醇生物合成和特定的胆固醇类物种在ARMGD中至关重要.
这项研究为了解ARMGD和开发向治疗提供了一个分子框架.

关键词:

衰老的衰老衰老的衰老胆固醇 Ester 是一种胆固醇 Ester.脂质脂质脂质是一种机器学习是机器学习.梅博姆腺的功能障碍多个omics的多个omics.治疗疗法治疗疗法

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