Dataset Information

Neonatal Meningitis by Multidrug Resistant Elizabethkingia meningosepticum Identified by 16S Ribosomal RNA Gene Sequencing.

ABSTRACT: Clinical and microbiological profile of 9 neonates with meningitis by Elizabethkingia meningosepticum identified by 16S ribosomal gene sequencing was studied. All the clinical isolates were resistant to cephalosporins, aminoglycosides, trimethoprim-sulfamethoxazole, ? -lactam combinations, carbapenems and only one isolate was susceptible to ciprofloxacin. All the isolates were susceptible to vancomycin. Six of nine neonates died even after using vancomycin, based on susceptibility results. E. meningosepticum meningitis in neonates results in high mortality rate. Though the organism is susceptible to vancomycin in vitro, its efficacy in vivo is questionable and it is difficult to determine the most appropriate antibiotic for treating E. meningosepticum meningitis in neonates.

SUBMITTER: Shailaja VV

PROVIDER: S-EPMC3941226 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Neonatal Meningitis by Multidrug Resistant Elizabethkingia meningosepticum Identified by 16S Ribosomal RNA Gene Sequencing.

Shailaja V V VV Reddy Ashok Kumar AK Alimelu M M Sadanand L N R LN

International journal of pediatrics 20140209

Clinical and microbiological profile of 9 neonates with meningitis by Elizabethkingia meningosepticum identified by 16S ribosomal gene sequencing was studied. All the clinical isolates were resistant to cephalosporins, aminoglycosides, trimethoprim-sulfamethoxazole, β -lactam combinations, carbapenems and only one isolate was susceptible to ciprofloxacin. All the isolates were susceptible to vancomycin. Six of nine neonates died even after using vancomycin, based on susceptibility results. E. me ...[more]

PMID: 24678326

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Project description:BackgroundElizabethkingia is emerging as an opportunistic pathogen in humans. The aim of this study was to investigate the clinical epidemiology, antimicrobial susceptibility, virulence factors, and genome features of Elizabethkingia spp.MethodsClinical data from 71 patients who were diagnosed with Elizabethkingia-induced pneumonia and bacteremia between August 2019 and September 2021 were analyzed. Whole-genome sequencing was performed on seven isolates, and the results were compared with a dataset of 83 available Elizabethkingia genomes. Genomic features, Kyoto Encyclopedia of Genes and Genomes (KEGG) results and clusters of orthologous groups (COGs) were analyzed.ResultsThe mean age of the patients was 56.9 ± 20.7 years, and the in-hospital mortality rate was 29.6% (21/71). Elizabethkingia strains were obtained mainly from intensive care units (36.6%, 26/71) and emergency departments (32.4%, 23/71). The majority of the strains were isolated from respiratory tract specimens (85.9%, 61/71). All patients had a history of broad-spectrum antimicrobial exposure. Hospitalization for invasive mechanical ventilation or catheter insertion was found to be a risk factor for infection. The isolates displayed a high rate of resistance to cephalosporins and carbapenems, but all were susceptible to minocycline and colistin. Genomic analysis identified five β-lactamase genes (blaGOB, blaBlaB, blaCME, blaOXA, and blaTEM) responsible for β-lactam resistance and virulence genes involved in stress adaptation (ureB/G, katA/B, and clpP), adherence (groEL, tufA, and htpB) and immune modulation (gmd, tviB, cps4J, wbtIL, cap8E/D/G, and rfbC). Functional analysis of the COGs revealed that "metabolism" constituted the largest category within the core genome, while "information storage and processing" was predominant in both the accessory and unique genomes. The unique genes in our 7 strains were mostly enriched in KEGG pathways related to microRNAs in cancer, drug resistance (β-lactam and vancomycin), ABC transporters, biological metabolism and biosynthesis, and nucleotide excision repair mechanisms.ConclusionThe Elizabethkingia genus exhibits multidrug resistance and carries carbapenemase genes. This study presents a comparative genomic analysis of Elizabethkingia, providing knowledge that facilitates a better understanding of this microorganism.

Dataset Information

Neonatal Meningitis by Multidrug Resistant Elizabethkingia meningosepticum Identified by 16S Ribosomal RNA Gene Sequencing.

Publications

Neonatal Meningitis by Multidrug Resistant Elizabethkingia meningosepticum Identified by 16S Ribosomal RNA Gene Sequencing.

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