Rapid identification of capsulated Acinetobacter baumannii using a density-dependent gradient test

Hadas Kon1, David Schwartz1, Elizabeth Temkin1

  • 1National Institute for Antibiotic Resistance and Infection Control, Ministry of Health, Tel-Aviv Sourasky Medical Center, 6 Weizmann St, 6423906, Tel-Aviv, Israel.

BMC Microbiology
|September 17, 2020
PubMed
Abstract

Insights

A novel density-dependent gradient test effectively identifies capsulated Acinetobacter baumannii, differentiating them from non-capsulated strains. This method aids in controlling infections caused by these hypervirulent bacteria.

Area of Science:

  • Microbiology
  • Bacterial Pathogenesis

Background:

  • Gram-negative bacterial capsules, rich in carbohydrates, often cause a mucoid phenotype.
  • Mucoid or capsulated Acinetobacter baumannii infections are linked to increased clinical severity.
  • Accurate identification of capsulated A. baumannii is crucial for clinical and epidemiological management.

Purpose of the Study:

  • To develop and validate a density-dependent gradient test for distinguishing capsulated from non-capsulated A. baumannii.
  • To correlate the test results with observed mucoid phenotypes and carbohydrate content.

Main Methods:

  • A two-phase density gradient test using 30% and 50% silica concentrations was employed.
  • Acinetobacter baumannii isolates were assessed for migration patterns within the gradient.
  • Carbohydrate content analysis and transmission electron microscopy were used for verification.

Main Results:

  • Out of 57 A. baumannii isolates, 31 exhibited a mucoid phenotype.
  • The density-dependent gradient test showed high agreement with mucoid/non-mucoid phenotypes.
  • Strains migrating to the top phase (suggesting capsulation) had significantly higher carbohydrate content and confirmed capsules via electron microscopy.

Conclusions:

  • The density-dependent gradient test is a reliable method for verifying capsule presence in mucoid A. baumannii.
  • This test can aid in identifying hypervirulent strains for targeted infection control measures.

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