| Frontiers in Cellular and Infection Microbiology | |
| Metagenomic next-generation sequencing and proteomics analysis in pediatric viral encephalitis and meningitis | |
| Cellular and Infection Microbiology | |
| Feng Gao1  Yi Hua1  Pei-Fang Jiang1  Xiao-Tong Guo1  Zhe-Feng Yuan1  Xue-Bin Xu1  Yi-Long Wang1  Li-Hua Jiang1  Meng-Ying Zhu1  Xin Zhang1  Guo-Xia Sheng1  Yu-Chen Mao1  Lu Xu1  Cong-Ying Zhao1  | |
| [1] Department of Neurology, Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China;Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center For Child Health, Hangzhou, Zhejiang, China; | |
| 关键词: viral encephalitis (VE); viral meningitis (VM); human enterovirus (HEV); metagenomic next-generation sequencing (mNGS); MS-based proteomics; diagnostic biomarkers; | |
| DOI : 10.3389/fcimb.2023.1104858 | |
| received in 2022-11-22, accepted in 2023-03-22, 发布年份 2023 | |
| 来源: Frontiers | |
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【 摘 要 】
IntroductionEarly and accurate identification of pathogens is essential for improved outcomes in patients with viral encephalitis (VE) and/or viral meningitis (VM).MethodsIn our research, Metagenomic next-generation sequencing (mNGS) which can identify viral pathogens unbiasedly was performed on RNA and DNA to identify potential pathogens in cerebrospinal fluid (CSF) samples from 50 pediatric patients with suspected VEs and/or VMs. Then we performed proteomics analysis on the 14 HEV-positive CSF samples and another 12 CSF samples from health controls (HCs). A supervised partial least squaresdiscriminant analysis (PLS-DA) and orthogonal PLS-DA (O-PLS-DA) model was performed using proteomics data.ResultsTen viruses in 48% patients were identified and the most common pathogen was human enterovirus (HEV) Echo18. 11 proteins overlapping between the top 20 DEPs in terms of P value and FC and the top 20 proteins in PLS-DA VIP lists were acquired.DiscussionOur result showed mNGS has certain advantages on pathogens identification in VE and VM and our research established a foundation to identify diagnosis biomarker candidates of HEV-positive meningitis based on MS-based proteomics analysis, which could also contribute toward investigating the HEV-specific host response patterns.
【 授权许可】
Unknown
Copyright © 2023 Wang, Guo, Zhu, Mao, Xu, Hua, Xu, Jiang, Zhao, Zhang, Sheng, Jiang, Yuan and Gao
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202310102071919ZK.pdf | 6436KB |
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