Evidence map›Paper›PMID 38553532›Full record

ArticleNPJ systems biology and applications2024

Quantifying in vitro B. anthracis growth and PA production and decay: a mathematical modelling approach.

Bevelynn Williams, Jamie Paterson, Helena J Rawsthorne-Manning, Polly-Anne Jeffrey, Joseph J Gillard, Grant Lythe, Thomas R Laws, Martín López-García

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Bevelynn Williams *Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-9119-6568
Jamie Paterson *Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK.
Helena J Rawsthorne-Manning *CBR Division, Defence Science and Technology Laboratory, Salisbury, UK.
Polly-Anne JeffreyDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK.
Joseph J GillardCBR Division, Defence Science and Technology Laboratory, Salisbury, UK.
Grant LytheDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK.
Thomas R LawsCBR Division, Defence Science and Technology Laboratory, Salisbury, UK.
Martín López-GarcíaDepartment of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, UK. m.lopezgarcia@leeds.ac.uk.ORCID http://orcid.org/0000-0003-3833-8595
University of Leeds · GBDefence Science and Technology Laboratory · GB

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R513258/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/T517562/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) IAA3114
6 · The paper itself

Abstract

Protective antigen (PA) is a protein produced by Bacillus anthracis. It forms part of the anthrax toxin and is a key immunogen in US and UK anthrax vaccines. In this study, we have conducted experiments to quantify PA in the supernatants of cultures of B. anthracis Sterne strain, which is the strain used in the manufacture of the UK anthrax vaccine. Then, for the first time, we quantify PA production and degradation via mathematical modelling and Bayesian statistical techniques, making use of this new experimental data as well as two other independent published data sets. We propose a single mathematical model, in terms of delay differential equations (DDEs), which can explain the in vitro dynamics of all three data sets. Since we did not heat activate the B. anthracis spores prior to inoculation, germination occurred much slower in our experiments, allowing us to calibrate two additional parameters with respect to the other data sets. Our model is able to distinguish between natural PA decay and that triggered by bacteria via proteases. There is promising consistency between the different independent data sets for most of the parameter estimates. The quantitative characterisation of B. anthracis PA production and degradation obtained here will contribute towards the ambition to include a realistic description of toxin dynamics, the host immune response, and anti-toxin treatments in future mechanistic models of anthrax infection.

Indexed as

AnthraxAnthrax VaccinesBacillus anthracisBayes TheoremHumansAnthrax Vaccines

Identifiers

PMID38553532
PMCPMC10980772
OpenAlexW4393315977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.