| Autor: |
DU Qian, DENG Su⁃jun, ZOU Shan, JIN Jun, ZHOU Qing⁃shan |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 6, Pp 479-484 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1672-6731 |
| DOI: |
10.3969/j.issn.1672⁃6731.2023.06.002 |
| Popis: |
The mortality rate of severe central nervous system infection is high. Early identifying pathogens and giving targeted antibiotics are critical to reduce the mortality rate. Traditional pathogen detection technologies are difficult to meet clinical requirements due to technical limitations. Recently, metagenomic next⁃generation sequencing (mNGS) has received widespread attention in the infectious field due to its efficiency, high throughput and wide coverage of microorganisms. This article reviews the development of mNGS and its application in severe central nervous system infection, so as to provide a more powerful guarantee for accurate diagnosis and treatment of severe central nervous system infection. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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