Evidence map›Paper›PMID 40790554›Full record

ArticleClinical proteomics2025

Cerebrospinal fluid quantitative proteomic reveals potential mechanisms and biomarker candidates of children with bacterial meningitis complicated by neurological complications.

Binglin Jian, Jing Wei, Liang Zhu, Lingyun Guo, Bing Hu, Yue Xie, Tianming Chen, Bing Liu, Wanrong Li, Jidong Du and 7 more

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Article in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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5 · Who and what money

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17 authors.

Binglin Jian *Department of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Jing Wei *Clinical Research Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Liang ZhuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Lingyun GuoDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Bing HuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Yue XieDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Tianming ChenDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Bing LiuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Wanrong LiDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Jidong DuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Linlin LiuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China.
Xixi ZhangClinical Research Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
Wei SunProteomics Research Center, Core Facility of Instruments, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100045, China.
Zhengguang GuoProteomics Research Center, Core Facility of Instruments, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100045, China.
Kaihu YaoLaboratory of Infection and Microbiology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, 100045, Beijing, China.
Lulu JiaClinical Research Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China. jluyu@126.com.
Gang LiuDepartment of Infectious Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, National Center for Children's Infectious and Allergic Diseases Surveillance, Beijing Research Center for Respiratory Infectious Diseases, Beijing Key Laboratory of Core Technologies for the Prevention and Treatment of Emerging Infectious Diseases in Children, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing, 100045, China. liugangbch@sina.com.

Funding

Beijing Municipal Administration of Hospitals Incubating Program PX2024042the 2022 Beijing Major Epidemic Prevention and Control especially Construction Project No.2-1-2-6-15the Capital's Funds for Health Improvement and Research 2024-1-2092the Clinical Research Fund of Wu Jieping Medical Foundation 320.6750.2021-04-67the National Natural Science Foundation of China (82301540 to J.W.); the Clinical Research Fund of Wu Jieping Medical Foundation 320.6750.2021-04-67the Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority XTZD2018050
6 · The paper itself

Abstract

backgroundBacterial meningitis complicated by neurological complications (BMN) is a major cause of poor outcomes and mortality among children with bacterial meningitis. So far, the host-related mechanisms and diagnostic biomarkers of BMN and bacterial meningitis without neurological complications (BM) remain poorly understood and limited.

methodsWe implemented a two-stage cerebrospinal fluid (CSF) quantitative proteomics study involving three groups: children with BMN, BM, and diseases not involving the central nervous system(Ctrl). Initially, in the discovery cohort, data-independent acquisition (DIA) mass spectrometry was used for proteomic profiling on 242 CSF samples (77 BMN, 52 BM, and 113 Ctrl). Differentially expressed proteins (DEPs) were identified among the BMN/Ctrl, BM/Ctrl, and BMN/BM groups, followed by an analysis of their functional enrichment. Next, the parallel reaction monitoring (PRM) method was used to validate the essential DEPs identified during the DIA phase in a validation cohort of 196 subjects (94 BMN, 47 BM, and 55 Ctrl). Subsequently, the validated DEPs were further filtered to construct a PRM-based machine learning model that distinguishes between BMN and BM.

resultsA total of 1376 DEPs were identified in BM/Ctrl (757 upregulated, 619 downregulated), 1295 in BMN/Ctrl (745 upregulated, 550 downregulated), and 356 in BMN/BM(60 upregulated, 296 downregulated), respectively. The functional results indicate that the upregulated DEPs were primarily enriched in immunity, inflammation, complement, and phagocytosis in BMN/Ctrl and BM/Ctrl. Immunoglobulin production, phagocytosis, and the classical pathway of complement activation were further upregulated in BMN/BM. The downregulated DEPs are primarily enriched in cell adhesion, nervous system function, and synapses in BMN/Ctrl and BM/Ctrl; some were further enriched in BMN/BM. In addition, some of the innate immunity, translation, signal transduction, nervous system, and redox processes were mainly downregulated in BMN/BM. The PRM successfully verified 22 significant DEPs. Among them, UAB1, MTPN, ARHGDIB, IGHG3, and AMBP could be combined to distinguish BMN from BM, achieving an AUC of 0.998 in the training set and 0.824 in the validation set.

conclusionsThis study identified distinct CSF protein expression profiles in children with BMN, BM, and Ctrl, potentially enhancing our understanding of the molecular mechanisms underlying bacterial meningitis. These protein signatures help us distinguish bacterial meningitis from the Ctrl group. Furthermore, selected biomarkers could support the differentiation between BMN and BM.

Indexed as

Biomarker candidatesCerebrospinal fluid quantitative proteomicsChildren's bacterial meningitisNeurological complications

Identifiers

PMID40790554
PMCPMC12341083

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