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Published on: November 5, 2019
Global trends in meningococcal disease
1Department of Bacteriology, National Institute of Public Health, Oslo, Norway.
Abstract:
The unambiguous identification of epidemic Neisseria meningitidis strains and their clear distinction from other less pathogenic meningococci is required for the global epidemiology of meningococcal disease. Until the recent development of multi-locus sequence typing (1), multi-locus enzyme electrophoresis (abbreviated MEE or MLEE) was the only method to permit large-scale analysis of N. meningitidis strains causing disease in various parts of the world and to document the intercontinental spread of particularly pathogenic organisms (2-8).
Insights
Accurate identification of epidemic Neisseria meningitidis strains is crucial for tracking global disease spread. Multi-locus enzyme electrophoresis (MEE) was historically vital for analyzing these strains and their international dissemination.
Area of Science:
- Microbiology
- Epidemiology
- Molecular typing
Background:
- Distinguishing epidemic Neisseria meningitidis strains is essential for understanding meningococcal disease epidemiology.
- Accurate strain identification aids in tracking the global spread of pathogenic bacteria.
Purpose of the Study:
- To highlight the historical importance of multi-locus enzyme electrophoresis (MEE) in meningococcal strain analysis.
- To underscore the need for reliable methods in identifying epidemic strains of Neisseria meningitidis.
Main Methods:
- Review of historical epidemiological studies utilizing bacterial strain typing.
- Discussion of multi-locus enzyme electrophoresis (MEE) as a primary analytical tool.
Main Results:
- Multi-locus enzyme electrophoresis (MEE) enabled large-scale analysis of Neisseria meningitidis strains globally.
- MEE facilitated the documentation of intercontinental spread of pathogenic meningococcal strains.
Conclusions:
- Multi-locus enzyme electrophoresis (MEE) was a foundational method for meningococcal epidemiology.
- The ability to identify and distinguish pathogenic strains is critical for global health surveillance.
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