生物信息分析菌病和基于关键基因的诊断模型的构建
Xia Wang1, Qing-Cao Fei1, Le Zhang1
1The First Clinical Medical College of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
Scientific reports
|October 6, 2025
概括
这项研究使用生物信息学识别了五个关键基因 (SKAP2,EIF2B1,PRKAB1,IRF8,RPN1) 与乳头有关. 基于这些基因的诊断模型显示,早期检测血病的准确性很有希望.
科学领域:
- 传染性疾病 传染性疾病
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 布鲁塞洛斯的诊断面临着挑战,需要新的方法.
- 与普罗萨素相关的基因 (PRG) 涉及到与血病有关的宿主-病原体相互作用.
研究的目的:
- 识别和验证用于布鲁塞洛症诊断的关键基因.
- 构建一种基于生物信息学驱动的布鲁塞洛症诊断模型.
主要方法:
- 从GEO下载并处理了GSE69597杂草菌病数据集.
- 识别了差异表达的基因,并与PRG交叉,以找到PRDEGs.
- 利用随机森林,LASSO和后勤回归来进行基因选择和模型构建.
- 在临床样本中使用qPCR验证了关键基因表达.
主要成果:
- 确定了19个与普罗萨素相关的差异表达基因 (PRDEG).
- 在诊断模型中选择了5个关键基因 (SKAP2,EIF2B1,PRKAB1,IRF8,RPN1).
- 后勤回归模型实现了0.844.4的AUC.
- qPCR证实了与对照组 (p < 0.05) 相比,菌病患者中5个基因的显著差异表达 (p < 0.05).
结论:
- 成功识别了与牛病相关的关键基因.
- 开发了一种具有良好性能的有效诊断模型.
- 提供了早期血病诊断和向治疗的基础.
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