Your browser doesn't support javascript.
loading
Target-enriched sequencing enables accurate identification of bloodstream infections in whole blood.
Li, Qian; Huang, Wenhua; Zhang, Shengwei; Zheng, Yuling; Lv, Qingyu; Kong, Decong; Zhang, Lei; Zhang, Yan; Zhao, Zhihu; Wang, Miaoyu; Jiang, Hua; Liu, Peng; Jiang, Yongqiang.
Afiliação
  • Li Q; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Huang W; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Zhang S; Department of Clinical Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
  • Zheng Y; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Lv Q; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Kong D; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Zhang L; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China.
  • Zhang Y; Beijing Institute of Biotechnology, Beijing, China.
  • Zhao Z; Beijing Institute of Biotechnology, Beijing, China.
  • Wang M; Beijing Haidian Hospital, Haidian Section of Peking University Third Hospital, Beijing, China.
  • Jiang H; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China. Electronic address: jhua76@126.com.
  • Liu P; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China. Electronic address: ammsliupeng@163.com.
  • Jiang Y; State Key Laboratory of Pathogens and Biosecurity, Institute of Microbiology and Epidemiology, Beijing, China. Electronic address: jiangyq@nic.bmi.ac.cn.
J Microbiol Methods ; 192: 106391, 2022 01.
Article em En | MEDLINE | ID: mdl-34915067
ABSTRACT
Bloodstream infections are within the top ten causes of death globally, with a mortality rate of up to 70%. Gold standard blood culture testing is time-consuming, resulting in delayed, but accurate, treatment. Molecular methods, such as RT-qPCR, have limited targets in one run. We present a new Ampliseq detection system (ADS) combining target amplification and next-generation sequencing for accurate identification of bacteria, fungi, and antimicrobial resistance determinants directly from blood samples. In this study, we included removal of human genomic DNA during nucleic acid extraction, optimized the target sequence set and drug resistance genes, performed antimicrobial resistance profiling of clinical isolates, and evaluated mock specimens and clinical samples by ADS. ADS successfully identified pathogens at the species-level in 36 h, from nucleic acid extraction to results. Besides pathogen identification, ADS can also present drug resistance profiles. ADS enabled detection of all bacteria and accurate identification of 47 pathogens. In 20 spiked samples and 8 clinical specimens, ADS detected at least 92.81% of reads mapped to pathogens. ADS also showed consistency with the three culture-negative samples, and correctly identified pathogens in four of five culture-positive clinical blood specimens. This Ampliseq-based technology promises broad coverage and accurate pathogen identification, helping clinicians to accurately diagnose and treat bloodstream infections.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Fungemia / Bacteriemia / Técnicas de Diagnóstico Molecular / Fungos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Fungemia / Bacteriemia / Técnicas de Diagnóstico Molecular / Fungos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article