Identification of pathogen(s) in infectious diseases using shotgun metagenomic sequencing and conventional culture: a comparative study.
Identification of pathogen(s) in infectious diseases using shotgun metagenomic sequencing and conventional culture: a comparative study.
复制标题
使用鸟枪法宏基因组测序和常规培养鉴定传染病病原体:比较研究
作者:
Chen H;Li J;Yan S;Sun H;Tan C;Liu M;Liu K;Zhang H;Zou M;Xiao X
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.
登录
查看更多内容
影响因子:
3.7
作者:
Abayasekara LM;Perera J;Chandrasekharan V;Gnanam VS;Udunuwara NA;Liyanage DS;Bulathsinhala NE;Adikary S;Aluthmuhandiram JVS;Thanaseelan CS;Tharmakulasingam DP;Karunakaran T;Ilango J
通讯作者:
Ilango J
影响因子:
12.3
作者:
Grumaz S;Stevens P;Grumaz C;Decker SO;Weigand MA;Hofer S;Brenner T;von Haeseler A;Sohn K
通讯作者:
Sohn K
影响因子:
8.4
作者:
Fang, Xinyu;Cai, Yuanqing;Guan, Zhenpeng
通讯作者:
Guan, Zhenpeng
影响因子:
4.6
作者:
Couto N;Schuele L;Raangs EC;Machado MP;Mendes CI;Jesus TF;Chlebowicz M;Rosema S;Ramirez M;Carriço JA;Autenrieth IB;Friedrich AW;Peter S;Rossen JW
通讯作者:
Rossen JW
影响因子:
7
作者:
Naccache SN;Federman S;Veeraraghavan N;Zaharia M;Lee D;Samayoa E;Bouquet J;Greninger AL;Luk KC;Enge B;Wadford DA;Messenger SL;Genrich GL;Pellegrino K;Grard G;Leroy E;Schneider BS;Fair JN;Martínez MA;Isa P;Crump JA;DeRisi JL;Sittler T;Hackett J Jr;Miller S;Chiu CY
通讯作者:
Chiu CY