Evidence map›Paper›PMID 30279184›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Model of bacterial toxin-dependent pathogenesis explains infective dose.

Joel Rybicki, Eva Kisdi, Jani V Anttila

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
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  7. Article
  8. Inflammatory Response to Different Toxins in Experimental Sepsis Models.International journal of molecular sciences · 2019
    Review
  9. 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

3 authors at 2 institutions in 2 countries.

Joel RybickiInstitute of Science and Technology Austria, 3400 Klosterneuburg, Austria; joel.rybicki@ist.ac.at.ORCID 0000-0002-6432-6646
Eva KisdiDepartment of Mathematics and Statistics, University of Helsinki, 00014 Helsinki, Finland.
Jani V AnttilaOrganismal and Evolutionary Biology Research Programme, University of Helsinki, 00014 Helsinki, Finland.
University of Helsinki · FIStatistics Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The initial amount of pathogens required to start an infection within a susceptible host is called the infective dose and is known to vary to a large extent between different pathogen species. We investigate the hypothesis that the differences in infective doses are explained by the mode of action in the underlying mechanism of pathogenesis: Pathogens with locally acting mechanisms tend to have smaller infective doses than pathogens with distantly acting mechanisms. While empirical evidence tends to support the hypothesis, a formal theoretical explanation has been lacking. We give simple analytical models to gain insight into this phenomenon and also investigate a stochastic, spatially explicit, mechanistic within-host model for toxin-dependent bacterial infections. The model shows that pathogens secreting locally acting toxins have smaller infective doses than pathogens secreting diffusive toxins, as hypothesized. While local pathogenetic mechanisms require smaller infective doses, pathogens with distantly acting toxins tend to spread faster and may cause more damage to the host. The proposed model can serve as a basis for the spatially explicit analysis of various virulence factors also in the context of other problems in infection dynamics.

Indexed as

Models, TheoreticalVirulenceBacteriaBacterial InfectionsBacterial ToxinsHumansVirulence FactorsBacterial ToxinsVirulence Factorsinfective doseparasitepathogenpathogenesisspatial model

Identifiers

PMID30279184
PMCPMC6196519
OpenAlexW2894579526

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.