Chen Huan, Li Jun, Yan Shanshan, Sun Hui, Tan Chuyi, Liu Meidong, Liu Ke, Zhang Huali, Zou Mingxiang, Xiao Xianzhong
Postdoctoral Research Station of Clinical Medicine & Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, China.
Department of Clinical Laboratory, Xiangya Hospital, Central South University, Changsha, China.
PeerJ. 2021 Jun 29;9:e11699. doi: 10.7717/peerj.11699. eCollection 2021.
Early and accurate diagnosis of microorganism(s) is important to optimize antimicrobial therapy. Shotgun metagenomic sequencing technology, an unbiased and comprehensive method for pathogen identification, seems to potentially assist or even replace conventional microbiological methodology in the diagnosis of infectious diseases. However, evidence in clinical application of this platform is relatively limited.
To evaluate the capability of shotgun metagenomic sequencing technology in clinical practice, both shotgun metagenomic sequencing and conventional culture were performed in the PCR-positive body fluid specimens of 20 patients with suspected infection. The sequenced data were then analyzed for taxonomic identification of microbes and antibiotic resistance gene prediction using bioinformatics pipeline.
Shotgun metagenomic sequencing results showed a concordance of 17/20 compared with culture results in bacterial detection, and a concordance of 20/20 compared with culture results in fungal detection. Besides, drug-resistant types annotated from antibiotic resistance genes showed much similarity with antibiotic classes identified by susceptibility tests, and more than half of the specimens had consistent drug types between shotgun metagenomic sequencing and culture results.
Pathogen identification and antibiotic resistance gene prediction by shotgun metagenomic sequencing identification had the potential to diagnose microorganisms in infectious diseases, and it was especially helpful for multiple microbial co-infections and for the cases where standard culture approached failed to identify microorganisms.
早期准确诊断微生物对于优化抗菌治疗至关重要。鸟枪法宏基因组测序技术是一种无偏差且全面的病原体鉴定方法,似乎有可能在传染病诊断中辅助甚至取代传统微生物学方法。然而,该平台临床应用的证据相对有限。
为评估鸟枪法宏基因组测序技术在临床实践中的能力,对20例疑似感染患者的PCR阳性体液标本同时进行了鸟枪法宏基因组测序和传统培养。然后使用生物信息学流程对测序数据进行分析,以鉴定微生物的分类并预测抗生素耐药基因。
在细菌检测方面,鸟枪法宏基因组测序结果与培养结果的一致性为17/20,在真菌检测方面,与培养结果的一致性为20/20。此外,从抗生素耐药基因注释的耐药类型与药敏试验确定的抗生素类别非常相似,超过一半的标本在鸟枪法宏基因组测序和培养结果之间的药物类型一致。
通过鸟枪法宏基因组测序鉴定进行病原体鉴定和抗生素耐药基因预测有潜力诊断传染病中的微生物,对多重微生物共感染以及标准培养方法未能鉴定出微生物的情况尤其有帮助。