Abstract:Central nervous system infections represent a category of severe neurological diseases, for which timely diagnosis and treatment are essential. Metagenomic next-generation sequencing (mNGS) technology enables unbiased detection of multiple pathogens in cerebrospinal fluid through high-throughput sequencing and bioinformatics analysis, significantly improving the pathogen detection rate. It is particularly suitable for pathogens that are difficult to detect using conventional methods. Studies both domestically and internationally have demonstrated the effectiveness of mNGS in improving diagnostic efficiency and precision treatment. However, it also faces challenges such as technical limitations, result interpretation, high cost, and lack of standardization. This article outlines the application, advantages, challenges, and future prospects of mNGS in diagnosing central nervous system infections. With decreasing sequencing costs and improvements in bioinformatics tools, mNGS has the potential to become an important supplement to routine clinical testing in the future.