Evidence map›Paper›PMID 24527843›Full record

ArticleBiosecurity and bioterrorism : biodefense strategy, practice, and science

Deterministic models of inhalational anthrax in New Zealand white rabbits.

Bradford Gutting

Open access · greenAbstract read
In one paragraph

Article in Biosecurity and bioterrorism : biodefense strategy, practice, and science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Pre- and Postlicensure Animal Efficacy Studies Comparing Anthrax Antitoxins.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  3. Article
  4. Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores.Risk analysis : an official publication of the Society for Risk Analysis · 2017
    Article
  5. Computational fluid dynamics modeling ofJournal of aerosol science · 2016
    Article
  6. Modeling early events in Francisella tularensis pathogenesis.Frontiers in cellular and infection microbiology · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Bradford GuttingBradford Gutting, PhD, is a Toxicologist, Naval Surface Warfare Center Dahlgren Division (NSWCDD) , Dahlgren, Virginia.
Naval Surface Warfare Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Models, BiologicalAnimalsAnthraxDisease Models, AnimalDose-Response Relationship, ImmunologicKineticsLungMaleModels, StatisticalRabbitsRespiratory MucosaRespiratory Tract Infections

Identifiers

PMID24527843
PMCPMC3934436
OpenAlexW179849456

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.