LegioTyper: Rapid typing of Legionella pneumophila serogroup 1 by flow-based chemiluminescence sandwich microarray

C Bärwinkel1, A Petzold2, C Lück2

  • 1Chair of Analytical Chemistry and Water Chemistry, School of Natural Sciences, Technical University of Munich, Lichtenbergstraße 4, 85748, Garching, Bavaria, Germany.

Insights

A new LegioTyper panel enables rapid, cost-effective antibody-based subtyping of Legionella pneumophila Sg 1. This method differentiates between Pontiac and non-Pontiac strains and identifies outbreak-associated subtypes.

Area of Science:

  • Microbiology
  • Immunology
  • Biotechnology

Background:

  • Legionella pneumophila serogroup 1 (Sg 1) identification is crucial for tracking outbreaks.
  • Current methods like indirect ELISA and qPCR are labor-intensive and costly.
  • Antibody-based serotyping requires characterization of new antibodies for specific subtypes.

Purpose of the Study:

  • To develop and validate the LegioTyper panel for rapid antibody-based subtyping of L. pneumophila Sg 1.
  • To optimize the chemiluminescence imaging of a sandwich microarray immunoassay (CL-SMIA) for LegioTyper.
  • To characterize monoclonal and polyclonal antibodies for differentiating L. pneumophila Sg 1 subtypes.

Main Methods:

  • Manufacturing cost-effective antibody microarrays using Jeffamine-2003-coated polycarbonate sheets.
  • Optimizing an automated CL-SMIA procedure for a 34-minute test.
  • Covalent immobilization of capture antibodies (cAb) using a specialized microdispensing buffer.

Main Results:

  • The LegioTyper successfully differentiated L. pneumophila Sg1 from non-Sg1 strains.
  • Distinction between Pontiac and non-Pontiac strains was achieved.
  • Most outbreak-associated subtypes, including Philadelphia, were identifiable using the LegioTyper Panel.

Conclusions:

  • The LegioTyper principle offers a rapid, automated, and cost-effective alternative for L. pneumophila Sg 1 subtyping.
  • It provides a valuable tool for pathogen surveillance and outbreak investigation.
  • This method simplifies subtyping compared to traditional ELISA or qPCR techniques.