血清蛋白质组学分析用于区分Mycobacterium结核病感染类别
Benjawan Kaewseekhao1, Auttawit Sirichoat1, Sittiruk Roytrakul2
1Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand.
Tuberculosis (Edinburgh, Scotland)
|June 28, 2023
概括
结核病 (TB) 的新生物标志物至关重要. 研究人员发现了Mycobacterium spp. 血清中的蛋白质可以准确区分活跃的结核病,潜伏的结核病感染和早期清除阶段.
科学领域:
- 微生物学 微生物学
- 免疫学 免疫学 免疫学
- 蛋白质组学是指蛋白质组学.
背景情况:
- 结核病 (TB) 呈现各种形式,包括早期清除 (EC),潜伏结核病感染 (LTBI) 和活跃结核病 (ATB).
- 目前的诊断方法缺乏足够的生物标志物来区分这些结核病感染阶段.
- 对于新型生物标志物来准确分类结核病感染状态的需求至关重要.
研究的目的:
- 确定新的血清蛋白生物标志物,以区分EC,LTBI,ATB和健康对照 (HC).
- 为了评估Mycobacterium spp.的诊断潜力. 结核病分类中的蛋白质.
主要方法:
- 从26个ATB,20个LTBI,34个EC病例和38个HC病例的血清样本使用无标签的液体染色学-并联质谱法 (LC-MS/MS) 进行了分析.
- 蛋白质组数据使用MaxQuant软件进行处理,并与Mtb,Mycobacterium spp.和正常肺菌群数据库进行比较.
- 主要成分分析 (PCA) 和决策树模型被用来识别区分蛋白质候选者.
主要成果:
- 在使用候选蛋白质的四组中,PCA显示了44.5%的差异化能力.
- 289种蛋白质显示出区分结核病类别的潜力.
- 在ATB和LTBI组中专门确定了50个候选蛋白质标记物,在HC和EC中缺席.
- 结核病分类的决策树在5个生物标志物中达到了92.31%的准确性,在10个生物标志物中达到了100%的准确性.
结论:
- 由Mycobacterium spp.表达的蛋白质. 显示出作为区分结核病感染类别的生物标志物的巨大潜力.
- 鉴定的蛋白质特征可以帮助区分活跃的结核病,潜伏感染和早期清除阶段.
- 这种蛋白质组方法为开发改进的结核病诊断工具提供了一个有希望的途径.
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