通过生物信息学分析和机器学习在阿托皮炎患者的皮肤和血中查与线粒体相关的生物标志物
Huiwen Yu1, Jiaying Lin1, Jinping Yuan1
1Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Frontiers in immunology
|May 22, 2024
概括
线粒体功能障碍和氧化应激是阿托皮性皮肤炎 (AD) 的关键因素. 这项研究确定了四个关键的线粒体基因 (BAX,IDH3A,MRPS6,GPT2) 和高细胞自由线粒体DNA (ccf-mtDNA) 作为AD诊断和严重程度的潜在生物标志物.
科学领域:
- 线粒体生物学 线粒体生物学
- 皮肤病学 皮肤病学
- 发现生物标志物的发现.
背景情况:
- 亚托皮炎 (AD) 的特点是线粒体功能障碍和氧化应激.
- 了解AD中线粒体功能障碍的分子机制至关重要.
研究的目的:
- 为了识别皮肤和外围线粒体相关的生物标志物对亚托皮炎.
- 阐明AD中线粒体功能障碍的潜在机制.
- 开发基于线粒体生物标志物的AD预测风险模型.
主要方法:
- 从公共数据库中选了与线粒体相关的差异表达基因 (MitoDEGs).
- 利用生物信息学工具,包括GO,KEGG,PPI和机器学习来识别枢纽基因.
- 在AD患者中验证了枢纽基因表达和评估了无血细胞线粒体DNA (ccf-mtDNA) 水平.
主要成果:
- 确定了四个枢纽型MitoDEGs (BAX,IDH3A,MRPS6,GPT2),这些对AD预测至关重要.
- 开发了一个具有出色诊断性能的风险模型 (AUC培训=1.000,AUC验证=0.810).
- 在AD患者中发现血ccf-mtDNA水平升高,与疾病严重程度相关.
结论:
- BAX,IDH3A,MRPS6和GPT2是识别AD的重要生物标志物.
- 增加的ccf-mtDNA水平表明线粒体损伤和细胞应激在中度至严重的AD.
- 这项研究支持阿尔茨海默氏症患者中显著的线粒体功能特征.
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