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Quantification of the Relationship between Bacterial Kinetics and Host Response for Monkeys Exposed to Aerosolized Francisella tularensis
Journal article   Open access   Peer reviewed

Quantification of the Relationship between Bacterial Kinetics and Host Response for Monkeys Exposed to Aerosolized Francisella tularensis

Yin Huang and Charles N. Haas
Applied and environmental microbiology, v 77(2), pp 485-490
01 Jan 2011
PMID: 21115714
url
https://doi.org/10.1128/aem.01190-10View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Biotechnology & Applied Microbiology Life Sciences & Biomedicine Microbiology Science & Technology
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 mu m) 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 mu m) 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-mu m 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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Collaboration types
Domestic collaboration
Web of Science research areas
Biotechnology & Applied Microbiology
Microbiology
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