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Article details
Title
Comparative analysis of cytokine transcript profiles within mediastinal lymph node compartments of pigs after infection with porcine reproductive and respiratory syndrome genotype 1 strains differing in pathogenicity
Published in
Veterinary Research, March 2015
DOI 10.1186/s13567-015-0161-8
Pubmed ID
Authors
Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) induces a weak immune response enabling it to persist in different organs of infected pigs. This has been attributed to the ability of PRRSV to influence the induction of cytokine responses. In this study, we investigated the cytokine transcriptional profiles in different compartments of the mediastinal lymph node of pigs infected with three genotype 1 PRRSV strains of differing pathogenicity: the low virulence prototype Lelystad virus (LV), and UK field strain 215-06 and the highly virulent subtype 3 SU1-Bel isolate from Belarus. We have used a combination of laser capture micro-dissection (LCM) followed by real time quantitative PCR (RT-qPCR) and immunohistochemical (IHC) detection of immune cell markers (CD3, CD79a and MAC387) and RT-qPCR quantification of PRRSV and cytokine transcripts. Compared to mock infected pigs, we found a significant downregulation of TNF-α and IFN-α in follicular and interfollicular areas of the mediastinal lymph node from 3 days post-infection (dpi) in animals infected with all three strains. This was accompanied by a transient B cell depletion and T cell and macrophage infiltration in the follicles together with T cell depletion in the interfollicular areas. A delayed upregulation of IFN-γ and IL-23p19 was observed mainly in the follicles. The PRRSV load was higher in all areas and time-points studied in the animals infected with the SU1-Bel strain. This paper describes the first application of LCM to study the cytokine transcript profiles and virus distribution in different compartments of the lymph node of pigs.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 3%
Spain 1 3%
Germany 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 4 13%
Professor 3 9%
Lecturer > Senior Lecturer 2 6%
Other 2 6%
Other 5 16%
Unknown 8 25%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Immunology and Microbiology 6 19%
Veterinary Science and Veterinary Medicine 5 16%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2015.
All research outputs
#22,692,974
of 27,780,120 outputs
Outputs from Veterinary Research
#1,097
of 1,404 outputs
Outputs of similar age
#212,766
of 281,721 outputs
Outputs of similar age from Veterinary Research
#31
of 39 outputs
Altmetric has tracked 27,780,120 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,404 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.