Search PubMedSearch

PubMed · 42723014

Genomic, virulent and phenotypic characterization of a cerebrospinal fluid-derived ST86-KL2 hypervirulent Klebsiella pneumoniae isolate from a patient with meningitis and diabetes mellitus.

Abstract

BACKGROUND: Hypervirulent Klebsiella pneumoniae (hvKP) is an important cause of invasive community-acquired infection, particularly in individuals with diabetes mellitus. However, cerebrospinal fluid (CSF)-derived hvKP isolates, especially those belonging to the ST86-KL2 lineage, remain poorly characterized at the integrated clinical, genomic, and phenotypic levels. METHODS: A K. pneumoniae isolate, designated BP9811, was recovered from the CSF of a patient with meningitis and diabetes mellitus and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and 16 S rRNA sequencing. Antimicrobial susceptibility testing and whole-genome sequencing were performed to define its resistance, virulence, sequence type (ST), capsular type, and plasmid content. Virulence was evaluated using the Galleria mellonella infection model. In addition, interaction with human cerebral microvascular endothelial cells was preliminarily assessed using adhesion, gentamicin protection, and transmission electron microscopy assays, together with measurement of relative ompA transcription by reverse transcription-quantitative polymerase chain reaction. Comparative phylogenetic analyses were performed using publicly available CSF-derived and KL2 K. pneumoniae genomes. RESULTS: BP9811 was identified as a hypermucoviscous ST86-KL2 hvKP isolate that remained susceptible to all tested antimicrobial agents. Whole-genome sequencing revealed an IncHI1B virulence plasmid carrying canonical hvKP-associated determinants, including rmpA/rmpA2, peg-344, iucABCD, and iroBCD. In the Galleria mellonella model, BP9811 showed high virulence comparable to that of the hypervirulent reference strain NTUH-2044. In HCMEC/D3 cells, BP9811 exhibited increased adhesion and intracellular recovery under the tested conditions, and transmission electron microscopy confirmed bacterial internalization. BP9811 also showed higher ompA transcript levels than the control strain. Phylogenetic analysis indicated that BP9811 was genetically distinct from currently available CSF-derived isolates and occupied a related branch within the KL2 population. CONCLUSIONS: This study provides an integrated clinical, genomic, and phenotypic characterization of BP9811, a CSF-derived ST86-KL2 hvKP isolate recovered from a patient with meningitis and diabetes mellitus. BP9811 carried a canonical hvKP virulence plasmid, displayed marked virulence-associated phenotypes, and showed enhanced interaction with human cerebral microvascular endothelial cells in vitro under the tested conditions. These findings expand the limited isolate-level evidence on central nervous system-associated hvKP and provide a basis for future comparative and mechanistic studies.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Xiyun Lai, Xinyu Zhu, Jie Yan, Tingjian Zou, Mengyuan Chen, Heng Chen, Xiaofang Tang, Qiang Wang. 2026-07-22. Genomic, virulent and phenotypic characterization of a cerebrospinal fluid-derived ST86-KL2 hypervirulent Klebsiella pneumoniae isolate from a patient with meningitis and diabetes mellitus.. https://doi.org/10.1186/s12866-026-05433-6

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans