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Typing of Streptococcus agalactiae (Lancefield group B)
1Division of Hospital Infection, Central Public Health Laboratory, London, UK.
Summary
This study introduces a two-stage typing method for group B streptococci (GBS) infections. The combined serotyping and phage-typing approach helps identify infection sources in newborns and distinguishes human from bovine GBS strains.
Area of Science:
- Microbiology
- Infectious Diseases
- Epidemiology
Background:
- Group B streptococci (GBS) are a significant cause of neonatal infections.
- Current typing methods for GBS have limitations in discrimination and typability.
- Understanding GBS transmission is crucial for preventing neonatal disease.
Purpose of the Study:
- To describe and evaluate a two-stage typing scheme for routine laboratory use.
- To investigate the sources of GBS infections in early neonatal life.
- To differentiate between human and bovine GBS strains.
Main Methods:
- A two-stage typing strategy combining serotyping and phage-typing for GBS strains.
- Analysis of GBS strain characteristics, including antigen profiles and phage lysis patterns.
- Epidemiological correlation of GBS infections with maternal flora and other potential sources.
Main Results:
- Serotyping alone showed limited discriminatory power due to common antigens (Ia/c, III/R) in nearly 40% of strains.
- Phage-typing had a typability rate below 80%, indicating limitations in its application.
- Evidence suggests early-onset GBS infections (<5 days) primarily stem from maternal flora acquisition.
- Human and bovine GBS strains represent distinct populations with identifiable antigenic and biochemical differences.
- No specific phage lysis patterns were found to characterize either human or bovine GBS strains.
Conclusions:
- The combined serotyping and phage-typing scheme provides a more comprehensive approach to GBS characterization.
- Early-onset GBS infections are strongly linked to maternal transmission.
- Distinct populations of human and bovine GBS exist, differentiated by non-phage-based methods.