Literature DB >> 21115714

Quantification of the relationship between bacterial kinetics and host response for monkeys exposed to aerosolized Francisella tularensis.

Yin Huang1, Charles N Haas.   

Abstract

Francisella tularensis can be disseminated via aerosols, and once inhaled, only a few microorganisms may result in tularemia pneumonia. Effective responses to this threat depend on a thorough understanding of the disease development and pathogenesis. In this study, a class of time-dose-response models was expanded to describe quantitatively the relationship between the temporal probability distribution of the host response and the in vivo bacterial kinetics. An extensive literature search was conducted to locate both the dose-dependent survival data and the in vivo bacterial count data of monkeys exposed to aerosolized F. tularensis. One study reporting responses of monkeys to four different sizes of aerosol particles (2.1, 7.5, 12.5, and 24.0 μm) of the SCHU S4 strain and three studies involving five in vivo growth curves of various strains (SCHU S4, 425, and live vaccine strains) initially delivered to hosts in aerosol form (1 to 5 μm) were found. The candidate models exhibited statistically acceptable fits to the time- and dose-dependent host response and provided estimates for the bacterial growth distribution. The variation pattern of such estimates with aerosol size was found to be consistent with the reported pathophysiological and clinical observations. The predicted growth curve for 2.1-μm aerosolized bacteria was highly consistent with the available bacterial count data. This is the first instance in which the relationship between the in vivo growth of F. tularensis and the host response can be quantified by mechanistic mathematical models.

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Year:  2010        PMID: 21115714      PMCID: PMC3020542          DOI: 10.1128/AEM.01190-10

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  25 in total

1.  Infectivity of tularemia applied to intact skin and ingested in drinking water.

Authors:  S F QUAN; A G MCMANUS; H VON FINTEL
Journal:  Science       Date:  1956-05-25       Impact factor: 47.728

2.  Studies on respiratory infection. I. The influence of particle size on respiratory infection with anthrax spores.

Authors:  H A DRUETT; D W HENDERSON; L PACKMAN; S PEACOCK
Journal:  J Hyg (Lond)       Date:  1953-09

3.  Modeling of the bacterial growth curve.

Authors:  M H Zwietering; I Jongenburger; F M Rombouts; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1990-06       Impact factor: 4.792

4.  Time-dose-response models for microbial risk assessment.

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5.  An apparatus for the study of airborne infection.

Authors:  D W HENDERSON
Journal:  J Hyg (Lond)       Date:  1952-03

6.  The distribution of incubation periods of infectious disease.

Authors:  P E SARTWELL
Journal:  Am J Hyg       Date:  1950-05

7.  Simulation modeling for microbial risk assessment.

Authors:  M H Cassin; G M Paoli; A M Lammerding
Journal:  J Food Prot       Date:  1998-11       Impact factor: 2.077

8.  Mathematics of predictive food microbiology.

Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1995-07       Impact factor: 5.277

9.  Dose response models for infectious gastroenteritis.

Authors:  P F Teunis; N J Nagelkerke; C N Haas
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Authors:  A F Kaufmann; M I Meltzer; G P Schmid
Journal:  Emerg Infect Dis       Date:  1997 Apr-Jun       Impact factor: 6.883

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4.  A dose and time response Markov model for the in-host dynamics of infection with intracellular bacteria following inhalation: with application to Francisella tularensis.

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