Bacterial genomic detection within cerebrospinal fluid of patients with meningococcal disease is influenced by

Tom C Darton1, Malcolm Guiver, Simone Naylor

  • 1Department of Infection and Immunity, University of Sheffield, Sheffield, UK.

Insights

Detecting Neisseria meningitidis DNA in cerebrospinal fluid (CSF) is more likely in older patients, those with serogroup B infection, and after antibiotic use. Bacterial loads varied by serogroup and host genetics.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Genetics

Background:

  • Meningococcal disease is a serious infection caused by Neisseria meningitidis.
  • Early detection and understanding factors influencing bacterial load are crucial for patient outcomes.
  • Neisseria meningitidis has multiple serogroups, with varying clinical presentations and diagnostic challenges.

Purpose of the Study:

  • To investigate factors associated with Neisseria meningitidis DNA detection in cerebrospinal fluid (CSF).
  • To analyze the correlation between bacterial loads in plasma and CSF across different serogroups.
  • To explore the impact of host genetics, specifically TNF2 (-308A) genotype, on bacterial load in serogroup B infections.

Main Methods:

  • Retrospective analysis of 384 patients with confirmed meningococcal disease.
  • Quantitative analysis of Neisseria meningitidis DNA in CSF samples.
  • Comparison of bacterial loads in plasma and CSF.
  • Genotyping for TNF2 (-308A) polymorphism in a subset of patients.

Main Results:

  • Detection of Neisseria meningitidis DNA in CSF increased with patient age, serogroup B infection, and prior antibiotic administration.
  • Significant correlation observed between plasma and CSF genomic bacterial loads for non-B serogroups.
  • Serogroup B infected patients with the TNF2 (-308A) genotype exhibited significantly higher CSF bacterial loads.

Conclusions:

  • Age, serogroup B, and prehospital antibiotic treatment are key factors influencing Neisseria meningitidis DNA detection in CSF.
  • Host genetics may play a role in bacterial dissemination and load in specific meningococcal infections.
  • Findings highlight the complexity of meningococcal disease diagnostics and the need for personalized approaches.

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