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Updated: Sep 16, 2025

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使用WGCNA和机器学习识别慢性缩性胃炎的氧化压力相关标记物
Ming Wang1, Weiwei Xie1, Siying Zhang1
1The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
Digestive diseases and sciences
|July 6, 2025
概括
这项研究确定CASP3是慢性缩性胃炎 (CAG) 的关键生物标志物,可能调节免疫细胞并为这种疾病提供新的诊断见解.
科学领域:
- 基因组学和分子生物学
- 胃肠病学 胃肠病学
- 生物标志物发现发现
背景情况:
- 慢性缩性胃炎 (CAG) 缺乏有效的西方治疗方法.
- 氧化应激与CAG有关,但机制和基因尚不清楚.
研究的目的:
- 使用先进的生物信息学识别CAG的氧化应激相关生物标志物.
- 阐明关键基因在CAG病原发生中的作用.
主要方法:
- 差异基因表达分析和权重基因同表达网络分析 (WGCNA).
- 机器学习算法 (SVM-RFE,LASSO,随机森林) 用于核心基因识别.
- 免疫透分析和ceRNA网络建设.
主要成果:
- CASP3被确定为CAG中高度表达的基因,具有显著的诊断潜力.
- CASP3可能调节巨细胞亡和炎症性细胞因子释放,影响免疫细胞透 (巨细胞,T细胞).
- 构建了一个竞争的内源RNA (ceRNA) 网络,涉及与CASP3相关的15个miRNA和35个lncRNA.
结论:
- CASP3显示为慢性缩性胃炎的新生物标志物具有前途.
- 这些发现为CAG的病原发生提供了新的见解,特别是关于氧化应激和免疫反应.
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