Use of Metagenomic Next-Generation Sequencing to Identify Pathogens Involved in Central Nervous System Infections

Abstract

Liying Zhan,1,* Zhihua Lv,2,* Yunjing Zhang,3,* Jingdi Chen,4 Lu Wang,1 Raojuan Huang,5 Yaqi Sun,5 Wei Wu1 1Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 2Department of Clinical Laboratory, Institute of Translational medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 3Department of Ultrasound, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 4Department of Orthopedics, the Airborne Military Hospital, Wuhan, Hubei, People’s Republic of China; 5First Clinical College of Wuhan University, Wuhan, Hubei, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wei Wu, Email [email protected]: Application of metagenomic next-generation sequencing (mNGS) in identifying nosocomial central nervous system (CNS) infections in critical care units remains understudied.Methods: We conducted a retrospective analysis of microbiological results through both mNGS and routine examination of cerebrospinal fluid (CSF) samples from patients with nosocomial CNS infections. The aim of this study was to assess the clinical diagnostic effect of nosocomial mNGS in this population.Results: The study included 26 cases of nosocomial CNS infections in total. A total of 69.2% (18/26) of the samples tested positive for mNGS, which is substantially greater than the 7.7% (2/26; p< 0.05) detected through conventional techniques. Administration of antibiotics before culture is most likely the cause of the low CSF culture rate. Twenty-five pathogenic strains that were missed by standard testing. Three pathogens that were consistent with the mNGS results were positive by routine tests. Eight cases were negative by mNGS due to low pathogen CSF titres. Compared to traditional testing, mNGS demonstrated 100% sensitivity and 33.3% specificity in diagnosing CNS infections. The thirty-day mortality rate was 26.9% (7/26).Conclusion: Routine microbiologic testing frequently falls short of detecting all neuroinvasive pathogens. Our research suggests that mNGS offers an alternative means of detecting nosocomial CNS infections. By applying mNGS to CSF samples from patients with meningitis or encephalitis, we were able to improve the ability to diagnose nosocomial neurologic infections.Keywords: metagenomic next-generation sequencing, cerebrospinal fluid, central nervous system infections, diagnosis

Keywords

• metagenomic next-generation sequencing
• cerebrospinal fluid
• central nervous system infections
• diagnosis