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多囊卵巢综合征和动脉样硬化之间共享的关键线粒体相关基因和分子机制:生物信息学和机器学习研究

Li Tang¹, Weifang Long¹, Qing Chen¹

¹Department of Traditional Chinese Medicine, Shenzhen Bao'an Shiyan People's Hospital, Shenzhen, Guangdong Province, China.

|January 7, 2026

概括

这项研究确定了谷氨S转移酶卡帕1 (GSTK1) 作为多囊性卵巢综合征 (PCOS) 和动脉样硬化症 (AS) 之间的关键共享线粒体基因,表明其作为并发症生物标志物的潜力.

科学领域:

生物医学研究的研究.
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

多囊性卵巢综合征 (PCOS) 和动脉样硬化 (AS) 具有共同的致病途径,特别是线粒体功能障碍.
识别共享的分子机制对于理解和治疗这些相互关联的疾病至关重要.

研究的目的:

通过生物信息学分析识别关键的线粒体相关基因 (MitoRGs) 和PCOS和AS的共享生物途径.
调查共享的MitoRG作为PCOS和AS并发症的生物标志物的潜力.

主要方法:

使用基因表达总和和MitoCarta3.0数据库用于PCOS,AS和MitoRGs数据.
采用生物信息学工具 (SVA,LIMA,LASSO回归) 来识别差异表达基因 (DEG) 和关键的MitoRG.
验证了关键的MitoRG,并分析了它们与免疫细胞透的相关性.

主要成果:

在PCOS中鉴定了2306个DEG,在AS中7830个和1136个MitoRGs,其中66个是共享的MitoDEG.
发现了与碳水化合物代谢和细胞过程相关的共享途径.
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结论:

线粒体基因GSTK1是PCOS和AS的潜在共享生物标志物和治疗点.
这项研究提供了关于PCOS和AS的共同病原和早期诊断的见解.
GSTK1与免疫微环境的关联强调了它在疾病共发症中的作用.

关键词:

动脉样硬化动脉样硬化生物标志物生物标志物机器学习是机器学习.线粒体功能障碍线粒体功能障碍多囊性卵巢综合征多囊性卵巢综合征

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