Literature DB >> 24527843

Deterministic models of inhalational anthrax in New Zealand white rabbits.

Bradford Gutting1.   

Abstract

Computational models describing bacterial kinetics were developed for inhalational anthrax in New Zealand white (NZW) rabbits following inhalation of Ames strain B. anthracis. The data used to parameterize the models included bacterial numbers in the airways, lung tissue, draining lymph nodes, and blood. Initial bacterial numbers were deposited spore dose. The first model was a single exponential ordinary differential equation (ODE) with 3 rate parameters that described mucociliated (physical) clearance, immune clearance (bacterial killing), and bacterial growth. At 36 hours postexposure, the ODE model predicted 1.7×10⁷ bacteria in the rabbit, which agreed well with data from actual experiments (4.0×10⁷ bacteria at 36 hours). Next, building on the single ODE model, a physiological-based biokinetic (PBBK) compartmentalized model was developed in which 1 physiological compartment was the lumen of the airways and the other was the rabbit body (lung tissue, lymph nodes, blood). The 2 compartments were connected with a parameter describing transport of bacteria from the airways into the body. The PBBK model predicted 4.9×10⁷ bacteria in the body at 36 hours, and by 45 hours the model showed all clearance mechanisms were saturated, suggesting the rabbit would quickly succumb to the infection. As with the ODE model, the PBBK model results agreed well with laboratory observations. These data are discussed along with the need for and potential application of the models in risk assessment, drug development, and as a general aid to the experimentalist studying inhalational anthrax.

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Year:  2014        PMID: 24527843      PMCID: PMC3934436          DOI: 10.1089/bsp.2013.0067

Source DB:  PubMed          Journal:  Biosecur Bioterror        ISSN: 1538-7135


  69 in total

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2.  Human inhalation anthrax. A report of three fatal cases.

Authors:  W S ALBRINK; S M BROOKS; R E BIRON; M KOPEL
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3.  The respiratory retention of bacterial aerosols: experiments with radioactive spores.

Authors:  G J HARPER; J D MORTON
Journal:  J Hyg (Lond)       Date:  1953-09

4.  Aerosolized Bacillus anthracis infection in New Zealand white rabbits: natural history and intravenous levofloxacin treatment.

Authors:  Steven B Yee; Joshua M Hatkin; David N Dyer; Steven A Orr; M Louise M Pitt
Journal:  Comp Med       Date:  2010-12       Impact factor: 0.982

Review 5.  Pathology of inhalational anthrax animal models.

Authors:  N A Twenhafel
Journal:  Vet Pathol       Date:  2010-07-23       Impact factor: 2.221

6.  Dosimetric adjustments for interspecies extrapolation of inhaled poorly soluble particles (PSP).

Authors:  Annie M Jarabek; Bahman Asgharian; Frederick J Miller
Journal:  Inhal Toxicol       Date:  2005 Jun-Jul       Impact factor: 2.724

7.  A mathematical simulation of the inflammatory response to anthrax infection.

Authors:  Rukmini Kumar; Carson C Chow; John D Bartels; Gilles Clermont; Yoram Vodovotz
Journal:  Shock       Date:  2008-01       Impact factor: 3.454

8.  Inhalation anthrax: dose response and risk analysis.

Authors:  Margaret E Coleman; Brandolyn Thran; Stephen S Morse; Martin Hugh-Jones; Stacey Massulik
Journal:  Biosecur Bioterror       Date:  2008-06

9.  Modeling the incubation period of inhalational anthrax.

Authors:  Dean A Wilkening
Journal:  Med Decis Making       Date:  2008-06-12       Impact factor: 2.583

Review 10.  Evaluating pharmacokinetic and pharmacodynamic interactions with computational models in supporting cumulative risk assessment.

Authors:  Yu-Mei Tan; Harvey Clewell; Jerry Campbell; Melvin Andersen
Journal:  Int J Environ Res Public Health       Date:  2011-05-19       Impact factor: 3.390

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  2 in total

1.  Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores.

Authors:  Margaret E Coleman; Harry M Marks; Timothy A Bartrand; Darrell W Donahue; Stephanie A Hines; Jason E Comer; Sarah C Taft
Journal:  Risk Anal       Date:  2017-01-25       Impact factor: 4.000

2.  Modeling early events in Francisella tularensis pathogenesis.

Authors:  Joseph J Gillard; Thomas R Laws; Grant Lythe; Carmen Molina-París
Journal:  Front Cell Infect Microbiol       Date:  2014-12-11       Impact factor: 5.293

  2 in total

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