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About:
Modeling [(18)F]-FDG lymphoid tissue kinetics to characterize nonhuman primate immune response to Middle East respiratory syndrome-coronavirus aerosol challenge
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schema:ScholarlyArticle
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Modeling [(18)F]-FDG lymphoid tissue kinetics to characterize nonhuman primate immune response to Middle East respiratory syndrome-coronavirus aerosol challenge
Creator
Jahrling, Peter
Johnson, Reed
Chefer, Svetlana
Seidel, Jurgen
Thomasson, David
Bollinger, Laura
Hensley, Lisa
Bartos, Chris
Lackemeyer, Mathew
Reba, Richard
Sayre, Philip
Bohannon, J
Source
Medline; PMC
abstract
BACKGROUND: The pathogenesis and immune response to Middle East respiratory syndrome (MERS) caused by a recently discovered coronavirus, MERS-CoV, have not been fully characterized because a suitable animal model is currently not available. (18)F-Fluorodeoxyglucose ([(18)F]-FDG)-positron emission tomography/computed tomography (PET/CT) as a longitudinal noninvasive approach can be beneficial in providing biomarkers for host immune response. [(18)F]-FDG uptake is increased in activated immune cells in response to virus entry and can be localized by PET imaging. We used [(18)F]-FDG-PET/CT to investigate the host response developing in nonhuman primates after MERS-CoV exposure and applied kinetic modeling to monitor the influx rate constant (K(i)) in responsive lymphoid tissue. METHODS: Multiple [(18)F]-FDG-PET and CT images were acquired on a PET/CT clinical scanner modified to operate in a biosafety level 4 environment prior to and up to 29 days after MERS-CoV aerosol exposure. Time activity curves of various lymphoid tissues were reconstructed to follow the [(18)F]-FDG uptake for approximately 60 min (3,600 s). Image-derived input function was used to calculate K(i) for lymphoid tissues by Patlak plot. RESULTS: Two-way repeated measures analysis of variance revealed alterations in K(i) that was associated with the time point (p < 0.001) after virus exposure and the location of lymphoid tissue (p = 0.0004). As revealed by a statistically significant interaction (p < 0.0001) between these two factors, the pattern of K(i) changes over time differed between three locations but not between subjects. A distinguished pattern of statistically significant elevation in K(i) was observed in mediastinal lymph nodes (LNs) that correlated to K(i) changes in axillary LNs. Changes in LNs K(i) were concurrent with elevations of monocytes in peripheral blood. CONCLUSIONS: [(18)F]-FDG-PET is able to detect subtle changes in host immune response to contain a subclinical virus infection. Full quantitative analysis is the preferred approach rather than semiquantitative analysis using standardized uptake value for detection of the immune response to the virus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13550-015-0143-x) contains supplementary material, which is available to authorized users.
has issue date
2015-11-16
(
xsd:dateTime
)
bibo:doi
10.1186/s13550-015-0143-x
bibo:pmid
26573211
has license
cc-by
sha1sum (hex)
f2f841111913d49cbbd17e0988fc4f49b06c4945
schema:url
https://doi.org/10.1186/s13550-015-0143-x
resource representing a document's title
Modeling [(18)F]-FDG lymphoid tissue kinetics to characterize nonhuman primate immune response to Middle East respiratory syndrome-coronavirus aerosol challenge
has PubMed Central identifier
PMC4646887
has PubMed identifier
26573211
schema:publication
EJNMMI Res
resource representing a document's body
covid:f2f841111913d49cbbd17e0988fc4f49b06c4945#body_text
is
schema:about
of
named entity 'APPROACH'
named entity 'SUITABLE'
named entity 'POSITRON EMISSION TOMOGRAPHY'
named entity 'FDG'
named entity 'CAUSED BY'
named entity 'TOMOGRAPHY'
named entity 'ANIMAL MODEL'
named entity 'RESPONSE TO'
named entity 'noninvasive'
named entity 'KINETICS'
named entity 'MODELING'
named entity 'CHALLENGE'
named entity 'CORONAVIRUS'
named entity 'LONGITUDINAL'
named entity 'FULLY'
named entity 'PROVIDING'
named entity 'HOST IMMUNE RESPONSE'
named entity 'IMMUNE RESPONSE'
named entity 'RECENTLY'
named entity 'PATHOGENESIS'
named entity 'AEROSOL'
named entity 'MIDDLE EAST RESPIRATORY SYNDROME'
named entity 'RESPONSE TO'
named entity 'NONHUMAN PRIMATE'
named entity 'CORONAVIRUS'
named entity 'LYMPHOID TISSUE'
named entity 'FDG'
named entity 'TO CHARACTERIZE'
named entity 'FLUORODEOXYGLUCOSE'
named entity 'CURRENTLY'
named entity 'MIDDLE EAST RESPIRATORY SYNDROME '
named entity 'NOT AVAILABLE'
named entity 'IMMUNE RESPONSE'
named entity 'BACKGROUND'
named entity 'BIOMARKERS'
named entity 'HAVE'
named entity 'NONINVASIVE'
named entity 'CHARACTERIZED'
named entity 'MERS-COV'
named entity 'BENEFICIAL'
covid:arg/f2f841111913d49cbbd17e0988fc4f49b06c4945
named entity 'mediastinal'
named entity 'FDG-PET'
named entity 'FDG'
named entity 'immune response'
named entity 'positron emission tomography'
named entity 'PET/CT'
named entity 'nonhuman primate'
named entity 'Middle East respiratory syndrome-coronavirus'
named entity 'aerosol'
named entity 'positron'
named entity 'bone marrow'
named entity 'Public Health Service'
named entity 'respiratory disease'
named entity 'product moment correlation coefficient'
named entity 'MERS'
named entity 'multiple comparison'
named entity 'PET'
named entity 'aerosol'
named entity 'post-exposure'
named entity 'FDG'
named entity 'SUV'
named entity 'TACs'
named entity 'mediastinal'
named entity 'PET'
named entity 'aerodynamic diameter'
named entity 'fulminant'
named entity 'rate constant'
named entity 'Patlak graphical analysis'
named entity '0.01'
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