Literature DB >> 16972354

Detecting Clostridium botulinum.

Josef Karner, Franz Allerberger.   

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Year:  2006        PMID: 16972354      PMCID: PMC3291211          DOI: 10.3201/eid1208.051364

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


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To the Editor: In the October 2005 issue of Emerging Infectious Diseases, Song et al. described a fiber-optic, microsphere-based, high-density array composed of 18 species-specific probe microsensors, used to identify biological warfare agents, including Clostridium botulinum (). Although the researchers used multiple probes for C. botulinum, we doubt that this approach is suitable for this organism. C. botulinum comprises a heterogenous group of subspecies that produce botulinum neurotoxin (BoNT); identification and characterization usually rely on animal testing that focuses on antigenetically distinct toxins (). Although strains of C. botulinum that do not produce toxins are sometimes isolated from wound infections not related to botulism, some strains of C. butyricum and C. baratii are also able to produce BoNTs. The mouse bioassay is currently the accepted method for detecting BoNT. In this assay, mice that receive an intraperitoneal injection containing a sample with more than a minimum lethal dose show symptoms of botulinum intoxication and die. ELISAs, which recognize protein antigenic sites, are still less sensitive than the mouse bioassay (). Because the mouse bioassay requires euthanizing many animals, and results are not available for several hours, new diagnostic methods are needed. For C. botulinum, an organism widely dispersed in the environment, DNA-based methods may not provide the ultimate solution. Rapid methods to detect and differentiate active BoNTs, such as the rapid, mass spectrometry-based, functional method, are promising candidates to substitute for animal testing in the near future ().
  4 in total

1.  Comparison of the mouse bioassay and enzyme-linked immunosorbent assay procedures for the detection of type A botulinal toxin in food.

Authors:  J L Ferreira; S J Eliasberg; P Edmonds; M A Harrison
Journal:  J Food Prot       Date:  2004-01       Impact factor: 2.077

2.  Identifying and subtyping species of dangerous pathogens by automated ribotyping.

Authors:  Katharina Grif; Manfred P Dierich; Peter Much; Erwin Hofer; Franz Allerberger
Journal:  Diagn Microbiol Infect Dis       Date:  2003-09       Impact factor: 2.803

3.  Detecting biological warfare agents.

Authors:  Linan Song; Soohyoun Ahn; David R Walt
Journal:  Emerg Infect Dis       Date:  2005-10       Impact factor: 6.883

4.  Botulinum neurotoxin detection and differentiation by mass spectrometry.

Authors:  John R Barr; Hercules Moura; Anne E Boyer; Adrian R Woolfitt; Suzanne R Kalb; Antonis Pavlopoulos; Lisa G McWilliams; Jurgen G Schmidt; Rodolfo A Martinez; David L Ashley
Journal:  Emerg Infect Dis       Date:  2005-10       Impact factor: 6.883

  4 in total

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