来自转录组RNA测序的新遗传生物标志物用于Mycobacterium结核病综合体和Mycobacterium avium综合体感染,通过生物信息学分析
Qingjun Jia1, Yifei Wu2, Yinyan Huang2
1Department of Tuberculosis Control and Prevention, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Mingshi 568#, Shangcheng, Hangzhou, 310021, Zhejiang, China. qingjunjia@163.com.
Scientific reports
|July 29, 2024
概括
这项研究使用生物信息学识别了真菌菌感染中的关键基因和途径. 全血中的基因签名有助于诊断非结核菌 (NTM),潜伏结核感染 (LTBI) 和活跃结核病 (ATB).
科学领域:
- 生物信息学和基因组学
- 传染病研究 传染病研究
- 分子诊断学 分子诊断
背景情况:
- 菌根菌感染,包括非结核菌 (NTM),潜伏结核感染 (LTBI) 和活跃结核病 (ATB),需要准确的诊断标志物.
- 了解这些感染背后的分子机制对于改善疾病管理至关重要.
研究的目的:
- 使用生物信息学识别微细菌感染中的差异表达基因 (DEG) 和生物途径.
- 发现潜在的基因特征,以区分NTM,LTBI和ATB.
主要方法:
- 在两个GSE数据集上利用了基因本体学 (GO) 和基因和基因组京都百科全书 (KEGG) 路径丰富分析.
- 应用最小绝对收缩和选择操作员 (LASSO) 回归分析以确定独特的DEG.
- 在全血样本中分析基因表达模式.
主要成果:
- 确定了与NTM/LTBI/ATB相关的1,057个DEG,主要与排毒和感染反应有关.
- METTL7B成为区分LTBI和ATB (AUC=0.983) 的高精度标志物.
- 上调的HBA1/2基因区分了IGRA-HC/NTM和LTBI,而HBD区分了IGRA-HC/NTM和ATB (P<0.001).
结论:
- 在全血中发现了与Mycobacterium感染相关的基因特征.
- 这些发现为增强对NTM,LTBI和ATB的分子理解和诊断策略提供了潜力.
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