Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing: A case report

Xiujuan Che1, Zhiyi He1, Tao-Hsin Tung2

  • 1Department of Neurology, Neurointensive Care Unit, The Maoming People's Hospital, Maoming 525000, Guangdong Province, China.

Open Life Sciences
|May 30, 2023
PubMed

Insights

Primary amoebic meningoencephalitis (PAM), a rare and fatal infection caused by Naegleria fowleri, requires rapid diagnosis. Metagenomic next-generation sequencing (mNGS) offers a swift and accurate method for identifying PAM pathogens, potentially improving patient outcomes.

Area of Science:

  • Neurology
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Primary amoebic meningoencephalitis (PAM) caused by Naegleria fowleri is a rare, devastating central nervous system infection with a >95% mortality rate.
  • Early PAM symptoms mimic bacterial meningitis, complicating prompt diagnosis and treatment initiation.
  • Despite advances in supportive care, effective treatments for PAM remain limited.

Observation:

  • A case study of a 38-year-old male presenting with headache, rapidly progressing to severe increased intracranial pressure.
  • Cerebrospinal fluid analysis revealed elevated leukocytes and protein, with negative smear and culture results, initially suggesting pyogenic meningitis.
  • Metagenomic next-generation sequencing (mNGS) of CSF identified Naegleria fowleri within 24 hours, confirming the PAM diagnosis.

Findings:

  • mNGS provides rapid and accurate pathogen identification for central nervous system infections, including rare protist infections like PAM.
  • Diagnostic delays, including sample transportation time, can significantly impact patient outcomes in rapidly progressing infections.
  • The case highlights the potential of mNGS in diagnosing challenging neurological infections.

Implications:

  • Early and rapid implementation of mNGS is crucial for diagnosing acute infections such as PAM.
  • Streamlining diagnostic workflows, from sample collection to mNGS analysis, can improve patient survival rates.
  • Enhanced patient interrogation and prompt identification of pathogens are paramount for effective PAM management and reducing mortality.

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