PT  - JOURNAL ARTICLE
AU  - Jun Cheng
AU  - Huan Hu
AU  - Yue Kang
AU  - Weizhi Chen
AU  - Wei Fang
AU  - Kaijuan Wang
AU  - Qian Zhang
AU  - Aisi Fu
AU  - Shuilian Zhou
AU  - Chen Cheng
AU  - Qingqing Cao
AU  - FeiYan Wang
AU  - Shela Lee
AU  - Zhou Zhou
TI  - Identification of pathogens in culture-negative infective endocarditis cases by metagenomic analysis
AID  - 10.1101/336388
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 336388
4099  - http://biorxiv.org/content/early/2018/06/02/336388.short
4100  - http://biorxiv.org/content/early/2018/06/02/336388.full
AB  - Pathogens identification is critical for the proper diagnosis and precise treatment of infective endocarditis. Although blood and valve cultures are the gold standard for IE pathogens detection, many cases are culture-negative, especially in patients who had received long-term antibiotic treatment, and precise diagnosis has therefore become a major challenge in the clinic. Metagenomic sequencing can provide both information on the pathogenic strain and the antibiotic susceptibility profile of patient samples without culturing, offering a powerful method to deal with culture-negative cases. In this work, we assessed the feasibility of a metagenomic approach to detect the causative pathogens in resected valves from IE patients.Using our in-house developed bioinformatics pipeline, we analyzed the sequencing results generated from both next-generation sequencing and Oxford Nanopore Technologies MinION nanopore sequencing for the direct identification of pathogens from the resected valves of seven clinically culture-negative IE patients according to the modified Duke criteria. Moreover, we were able to simultaneously characterize respective antimicrobial resistance features. This provides clinicians with valuable information to diagnose and treat IE patients after valve replacement surgery.