A pilot study for evaluating the feasibility of using alpha-defensin to support the diagnosis of ventriculitis

James B Doub1

  • 1The Doub Laboratory of Translational Bacterial Research, University of Maryland School of Medicine, Baltimore, USA; Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, USA.

Abstract

Insights

Alpha-defensins show promise as a diagnostic biomarker for nosocomial ventriculitis. This study found significantly higher alpha-defensin levels in patients with ventriculitis, aiding diagnosis.

Area of Science:

  • Neuroscience
  • Infectious Diseases
  • Biomarker Discovery

Background:

  • Nosocomial ventriculitis diagnosis is challenging due to low sensitivity/specificity of standard cerebrospinal fluid (CSF) parameters.
  • Current diagnostic methods for meningitis are inadequate for identifying ventriculitis.
  • Novel biomarkers are crucial for accurate and timely diagnosis of ventriculitis.

Purpose of the Study:

  • To evaluate alpha-defensins (α-defensins) as a potential biomarker for diagnosing ventriculitis.
  • To compare α-defensin levels in patients with and without external ventricular drain (EVD)-associated ventriculitis.

Main Methods:

  • Pilot study conducted between May 01, 2022, and December 30, 2022.
  • Collected CSF samples from ten patients with culture-proven EVD-associated ventriculitis and ten control patients.
  • Quantified α-defensin levels using enzyme-linked immunosorbent assay (ELISA).

Main Results:

  • Significantly elevated CSF α-defensin levels were observed in the ventriculitis cohort (P < 0.0001).
  • α-defensin levels were not influenced by the presence of blood in CSF or bacterial virulence.
  • While other infections showed increased α-defensins, levels remained significantly lower than in ventriculitis patients (P < 0.001).

Conclusions:

  • CSF α-defensins demonstrate potential as a diagnostic biomarker for ventriculitis.
  • Further research is needed to validate these findings in larger studies.
  • Successful validation could improve diagnostic accuracy and reduce unnecessary antibiotic use.