About: Applications of omics approaches to the development of microbiological risk assessment using RNA virus dose

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About: Applications of omics approaches to the development of microbiological risk assessment using RNA virus dose–response models as a case study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Applications of omics approaches to the development of microbiological risk assessment using RNA virus dose–response models as a case study
Creator	Gale, P Kelly, L Bassett, J Hill, A Le Marc, Y Mcclure, P Soumpasis, I
Source	Medline; PMC
abstract	T e in the amount of ‘omics’ data available and in our ability to interpret those data. The aim of this paper was to consider how omics techniques can be used to improve and refine microbiological risk assessment, using dose–response models for RNA viruses, with particular reference to norovirus through the oral route as the case study. The dose–response model for initial infection in the gastrointestinal tract is broken down into the component steps at the molecular level and the feasibility of assigning probabilities to each step assessed. The molecular mechanisms are not sufficiently well understood at present to enable quantitative estimation of probabilities on the basis of omics data. At present, the great strength of gene sequence data appears to be in giving information on the distribution and proportion of susceptible genotypes (for example due to the presence of the appropriate pathogen‐binding receptor) in the host population rather than in predicting specificities from the amino acid sequences concurrently obtained. The nature of the mutant spectrum in RNA viruses greatly complicates the application of omics approaches to the development of mechanistic dose–response models and prevents prediction of risks of disease progression (given infection has occurred) at the level of the individual host. However, molecular markers in the host and virus may enable more broad predictions to be made about the consequences of exposure in a population. In an alternative approach, comparing the results of deep sequencing of RNA viruses in the faeces/vomitus from donor humans with those from their infected recipients may enable direct estimates of the average probability of infection per virion to be made.
has issue date	2014-11-04(xsd:dateTime)
bibo:doi	10.1111/jam.12656
bibo:pmid	25269811
has license	no-cc
sha1sum (hex)	52d0ae243a41f205f22bf7eea395c055dc6ceda4
schema:url	https://doi.org/10.1111/jam.12656
resource representing a document's title	Applications of omics approaches to the development of microbiological risk assessment using RNA virus dose–response models as a case study
has PubMed Central identifier	PMC7166579
has PubMed identifier	25269811
schema:publication	J Appl Microbiol
resource representing a document's body	covid:52d0ae243a41f205f22bf7eea395c055dc6ceda4#body_text
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