ArticleFrontiers in cellular and infection microbiology2023
Microbial signatures of neonatal bacterial meningitis from multiple body sites.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Investigating Blood Biomarkers That Can Facilitate the Diagnosis of Meningitis-A Systematic Literature Review.International journal of molecular sciences · 2025Pooled it
- Microbiome interactions in renal cell carcinoma: evidence, challenges and opportunities.Nature reviews. Urology · 2026Review
- Intratumoral microbiota exhibiting varied responses to neoadjuvant chemotherapy in triple-negative breast cancer revealed by 2bRAD-M.Journal of translational medicine · 2026Article
- Intratumoral immune-microbial crosstalk shaped by tumor cell-derived extracellular vesicles encapsulating berberine boosts lung cancer immunotherapy.Acta pharmaceutica Sinica. B · 2026Article
- Brevundimonas vesicularis sepsis in a 2-month-old infant in rural Gambia: a case report.Journal of medical case reports · 2025Article
- Circulating microbiome DNA features and its effect on predicting clinicopathological characteristics of patients with colorectal cancer.Journal of translational medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a common central nervous system infection in newborns, neonatal bacterial meningitis (NBM) can seriously affect their health and growth. However, although metagenomic approaches are being applied in clinical diagnostic practice, there are some limitations for whole metagenome sequencing and amplicon sequencing in handling low microbial biomass samples. Through a newly developed ultra-sensitive metagenomic sequencing method named 2bRAD-M, we investigated the microbial signatures of central nervous system infections in neonates admitted to the neonatal intensive care unit. Particularly, we recruited a total of 23 neonates suspected of having NBM and collected their blood, cerebrospinal fluid, and skin samples for 2bRAD-M sequencing. Then we developed a novel decontamination method (Reads Level Decontamination, RLD) for 2bRAD-M by which we efficiently denoised the sequencing data and found some potential biomarkers that have significantly different relative abundance between 12 patients that were diagnosed as NBM and 11 Non-NBM based on their cerebrospinal fluid (CSF) examination results. Specifically, we discovered 11 and 8 potential biomarkers for NBM in blood and CSF separately and further identified 16 and 35 microbial species that highly correlated with the physiological indicators in blood and CSF. Our study not only provide microbiological evidence to aid in the diagnosis of NBM but also demonstrated the application of an ultra-sensitive metagenomic sequencing method in pathogenesis study.
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Registered trials
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