| Literature DB >> 15911764 |
David J Ecker1, Rangarajan Sampath, Lawrence B Blyn, Mark W Eshoo, Cristina Ivy, Joseph A Ecker, Brian Libby, Vivek Samant, Kristin A Sannes-Lowery, Rachael E Melton, Kevin Russell, Nikki Freed, Chris Barrozo, Jianguo Wu, Karl Rudnick, Anjali Desai, Emily Moradi, Duane J Knize, David W Robbins, James C Hannis, Patina M Harrell, Christian Massire, Thomas A Hall, Yun Jiang, Raymond Ranken, Jared J Drader, Neill White, John A McNeil, Stanley T Crooke, Steven A Hofstadler.
Abstract
Epidemic respiratory infections are responsible for extensive morbidity and mortality within both military and civilian populations. We describe a high-throughput method to simultaneously identify and genotype species of bacteria from complex mixtures in respiratory samples. The process uses electrospray ionization mass spectrometry and base composition analysis of PCR amplification products from highly conserved genomic regions to identify and determine the relative quantity of pathogenic bacteria present in the sample. High-resolution genotyping of specific species is achieved by using additional primers targeted to highly variable regions of specific bacterial genomes. This method was used to examine samples taken from military recruits during respiratory disease outbreaks and for follow up surveillance at several military training facilities. Analysis of respiratory samples revealed high concentrations of pathogenic respiratory species, including Haemophilus influenzae, Neisseria meningitidis, and Streptococcus pyogenes. When S. pyogenes was identified in samples from the epidemic site, the identical genotype was found in almost all recruits. This analysis method will provide information fundamental to understanding the polymicrobial nature of explosive epidemics of respiratory disease.Entities:
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Year: 2005 PMID: 15911764 PMCID: PMC1138257 DOI: 10.1073/pnas.0409920102
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205