Evidence map›Paper›PMID 26350137›Full record

ReviewJournal of bacteriology2016

New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food.

Adaoha E C Ihekwaba, Ivan Mura, Pradeep K Malakar, John Walshaw, Michael W Peck, G C Barker

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of bacteriology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Impact ofCurrent opinion in food science · 2016
    Review
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

6 authors at 3 institutions in 2 countries.

Adaoha E C IhekwabaGut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, United Kingdom Adaoha.ihekwaba@ifr.ac.uk.
Ivan MuraFaculty of Engineering, EAN University, Bogotá, Colombia.
Pradeep K MalakarGut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, United Kingdom.
John WalshawGut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, United Kingdom.
Michael W PeckGut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, United Kingdom.
G C BarkerGut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, United Kingdom.
Norwich Research Park · GBQuadram Institute · GBUniversidad EAN · CO

Funding

Biotechnology and Biological Sciences Research Council BB/J004529/1
6 · The paper itself

Abstract

Botulinum neurotoxins (BoNTs) produced by the anaerobic bacterium Clostridium botulinum are the most potent biological substances known to mankind. BoNTs are the agents responsible for botulism, a rare condition affecting the neuromuscular junction and causing a spectrum of diseases ranging from mild cranial nerve palsies to acute respiratory failure and death. BoNTs are a potential biowarfare threat and a public health hazard, since outbreaks of foodborne botulism are caused by the ingestion of preformed BoNTs in food. Currently, mathematical models relating to the hazards associated with C. botulinum, which are largely empirical, make major contributions to botulinum risk assessment. Evaluated using statistical techniques, these models simulate the response of the bacterium to environmental conditions. Though empirical models have been successfully incorporated into risk assessments to support food safety decision making, this process includes significant uncertainties so that relevant decision making is frequently conservative and inflexible. Progression involves encoding into the models cellular processes at a molecular level, especially the details of the genetic and molecular machinery. This addition drives the connection between biological mechanisms and botulism risk assessment and hazard management strategies. This review brings together elements currently described in the literature that will be useful in building quantitative models of C. botulinum neurotoxin production. Subsequently, it outlines how the established form of modeling could be extended to include these new elements. Ultimately, this can offer further contributions to risk assessments to support food safety decision making.

Indexed as

Food ContaminationModels, BiologicalBotulinum ToxinsClostridium botulinumHumansMolecular StructureNeurotoxinsRisk FactorsBotulinum ToxinsNeurotoxins

Identifiers

PMID26350137
PMCPMC4751798
OpenAlexW1879538049

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.