综合性分析基于基因组下一代测序来识别患有下呼吸道感染的患者的机会性病原体
Tingyan Dong1,2, Yueming Liang3, Junting Xie3
1Jiangsu Key Laboratory of Molecular Medicine, Nanjing University, Nanjing, China.
Heliyon
|May 20, 2024
概括
甲基因组测序在下呼吸道感染 (LRTI) 中确定了不同的细菌群. 针对微生物相互作用网络,而不仅仅是单个微生物,为治疗这些普遍感染提供了一个新的策略.
科学领域:
- 微生物学 微生物学
- 传染性疾病 传染性疾病
- 生物信息学是一种生物信息学.
背景情况:
- 下呼吸道感染 (LRTI) 是一个主要的全球健康问题.
- 下一代元基因组测序 (mNGS) 对于诊断传染病至关重要.
- 了解呼吸道微生物群是管理LRTIs的关键.
研究的目的:
- 在LRTI患者中使用mNGS数据识别和分类机会性病原体和殖民性微生物群.
- 在呼吸道中区分致病和殖民细菌.
- 在LRTIs中探索微生物相互作用网络.
主要方法:
- 对394名LRTI患者的mNGS数据进行了回顾性分析.
- 线性差异分析效果大小 (LEfSe) 用于细菌歧视.
- 接收器操作特征 (ROC) 曲线以评估诊断准确性.
主要成果:
- 443种歧视性细菌被确定并分为三个队列.
- 新兴的机会性病原体 (119) 在区分感染与殖民时显示出高可预测性 (AUC 0.976).
- LRTI的微生物群体表现出减少的多样性和复杂的相互作用网络.
结论:
- 治疗策略应专注于LRTIs的微生物相互作用网络.
- 这项研究为解释mNGS结果在LRTI临床实践中提供了一个参考小组.
- 在LRTIs中建立了细菌殖民和病原体的全面概况.
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