Dataset Information

DIVA Metabolomics: Differentiating Vaccination Status Following Viral Challenge Using Metabolomic Profiles

ABSTRACT: This study employed metabolomic profiling technologies, to identify metabolites (small molecules) in blood which are found at different levels in vaccinated compared to non-vaccinated animals exposed to virus.

INSTRUMENT(S): Xevo G2 QTOF (Waters)

SUBMITTER: Darren Gray

PROVIDER: MTBLS456 | MetaboLights | 2018-07-13

REPOSITORIES: MetaboLights

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Dataset's files

Source:

			Action	DRS
	MTBLS456	Other
	FILES	Other
	a_MTBLS456_DIVA_Metabolomics_metabolite_profiling_mass_spectrometry.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS456_DIVA_Metabolomics_metabolite_profiling_mass_spectrometry_v2_maf.tsv	Tabular

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Publications

DIVA metabolomics: Differentiating vaccination status following viral challenge using metabolomic profiles.

Gray Darren W DW Welsh Michael D MD Mansoor Fawad F Doherty Simon S Chevallier Olivier P OP Elliott Christopher T CT Mooney Mark H MH

PloS one 20180405 4

Bovine Respiratory Disease (BRD) is a major source of economic loss within the agricultural industry. Vaccination against BRD-associated viruses does not offer complete immune protection and vaccine failure animals present potential routes for disease spread. Serological differentiation of infected from vaccinated animals (DIVA) is possible using antigen-deleted vaccines, but during virus outbreaks DIVA responses are masked by wild-type virus preventing accurate serodiagnosis. Previous work by t ...[more]

PMID: 29621258

Similar Datasets

Project description:Bovine Respiratory Disease (BRD) is a major source of economic loss within the agricultural industry. Vaccination against BRD-associated viruses does not offer complete immune protection and vaccine failure animals present potential routes for disease spread. Serological differentiation of infected from vaccinated animals (DIVA) is possible using antigen-deleted vaccines, but during virus outbreaks DIVA responses are masked by wild-type virus preventing accurate serodiagnosis. Previous work by the authors has established the potential for metabolomic profiling to reveal metabolites associated with systemic immune responses to vaccination. The current study builds on this work by demonstrating for the first time the potential to use plasma metabolite profiling to differentiate between vaccinated and non-vaccinated animals following infection-challenge. Male Holstein Friesian calves were intranasally vaccinated (Pfizer RISPOVAL®PI3+RSV) and subsequently challenged with Bovine Parainfluenza Virus type-3 (BPI3V) via nasal inoculation. Metabolomic plasma profiling revealed that viral challenge led to a shift in acquired plasma metabolite profiles from day 2 to 20 p.i., with 26 metabolites identified whose peak intensities were significantly different following viral challenge depending on vaccination status. Elevated levels of biliverdin and bilirubin and decreased 3-indolepropionic acid in non-vaccinated animals at day 6 p.i. may be associated with increased oxidative stress and reactive oxygen scavenging at periods of peak virus titre. During latter stages of infection, increased levels of N-[(3α,5β,12α)-3,12-dihydroxy-7,24-dioxocholan-24-yl]glycine and lysophosphatidycholine and decreased enterolactone in non-vaccinated animals may reflect suppression of innate immune response mechanisms and progression to adaptive immune responses. Levels of hexahydrohippurate were also shown to be significantly elevated in non-vaccinated animals from days 6 to 20 p.i. These findings demonstrate the potential of metabolomic profiling to identify plasma markers that can be employed in disease diagnostic applications to both differentially identify infected non-vaccinated animals during disease outbreaks and provide greater information on the health status of infected animals.