ArticlemSystems2021
Characterization of the Blood and Cerebrospinal Fluid Microbiome in Children with Bacterial Meningitis and Its Potential Correlation with Inflammation.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Clinical Utility of Metagenomic Next-Generation Sequencing in Diagnosing Central Nervous System Infections in Hematopoietic Stem Cell Transplant Recipients: A Retrospective and Prospective Cohort Study.Infection and drug resistance · 2026Article
- Cerebrospinal fluid microbiome revisited: no evidence of resident bacteria in archived samples.Microbiology spectrum · 2025Article
- Pathogenic profiles and lower respiratory tract microbiota in severe pneumonia patients using metagenomic next-generation sequencing.Advanced biotechnology · 2025Article
- Article
- Characterization of periprosthetic environment microbiome in patients after total joint arthroplasty and its potential correlation with inflammation.BMC infectious diseases · 2023Article
- Characterization of the Blood Microbiome and Comparison with the Fecal Microbiome in Healthy Dogs and Dogs with Gastrointestinal Disease.Veterinary sciences · 2023Article
- Clinical identification and microbiota analysis ofFrontiers in cellular and infection microbiology · 2023Article
- The electronic tree of life (eToL): a net of long probes to characterize the microbiome from RNA-seq data.BMC microbiology · 2022Article
- High resolution 16S rRNA gene Next Generation Sequencing study of brain areas associated with Alzheimer's and Parkinson's disease.Frontiers in aging neuroscience · 2022Article
- Human circulating bacteria and dysbiosis in non-infectious diseases.Frontiers in cellular and infection microbiology · 2022Review
- Gut Microbiota in Patients with Type 1 Narcolepsy.Nature and science of sleep · 2021Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Bacterial meningitis shows a higher incidence in children than adults, but signs may be scarce. Although some pathogenic microorganisms of meningitis from cerebrospinal fluid (CSF) have been reported, the signature of the representative microbiota in CSF and blood samples from patients remains incompletely revealed. To extend the understanding of the microbiome in patients, we recruited 32 children with bacterial meningitis, 30 undiagnosed infectious children, and 10 matched healthy individuals, which was followed by untargeted metagenomic next-generation sequencing (mNGS) and bioinformatic analysis. Our results showed that children with bacterial meningitis exhibited different microbiome signatures in their CSF and blood compared with undiagnosed and healthy children, and patients could be divided into varied subsets according to these signatures, including Escherichia coli, Klebsiella pneumoniae, Thermothelomyces thermophila, Lactobacillus acidophilus, and Staphylococcus haemolyticus. To further explore their potential role in patients' conditions, we examined their correlation with clinical parameters. Importantly, microbiome signatures with compositional changes were correlated with the C-reactive protein (CRP) level in blood and granulocyte percentage in CSF. Moreover, the blood in subsets of patients with a predominance of Klebsiella pneumoniae could replace CSF as the main specimen for clinical monitoring.
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