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Systems analysis of primary Sjögren's syndrome pathogenesis in salivary glands identifies shared pathways in human and a mouse model

Overview of attention for article published in Arthritis Research & Therapy, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

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1 tweeter
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1 patent

Citations

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34 Dimensions

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56 Mendeley
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Title
Systems analysis of primary Sjögren's syndrome pathogenesis in salivary glands identifies shared pathways in human and a mouse model
Published in
Arthritis Research & Therapy, January 2012
DOI 10.1186/ar4081
Pubmed ID
Authors

Steve Horvath, Abu NM Nazmul-Hossain, Rodney PE Pollard, Frans GM Kroese, Arjan Vissink, Cees GM Kallenberg, Fred KL Spijkervet, Hendrika Bootsma, Sara A Michie, Sven U Gorr, Ammon B Peck, Chaochao Cai, Hui Zhou, David TW Wong

Abstract

ABSTRACT: INTRODUCTION: Primary Sjögren's syndrome (pSS) is a chronic autoimmune disease with complex etiopathogenesis. Despite extensive studies to understand the disease process utilizing human and mouse models, the intersection between these species remains elusive. To address this gap, we utilized a novel systems biology approach to identify disease-related gene modules and signaling pathways that overlap between humans and mice. METHODS: Parotid gland tissues were harvested from 24 pSS and 16 non-pSS sicca patients and 25 controls. For mouse studies, salivary glands were harvested from C57BL/6.NOD-Aec1Aec2 mice at various times during development of pSS-like disease. RNA was analyzed with Affymetrix HG U133+2.0 arrays for human samples and with MOE430+2.0 arrays for mouse samples. The images were processed with Affymetrix software. Weighted-gene co-expression network analysis was used to identify disease-related and functional pathways. RESULTS: Nineteen co-expression modules were identified in human parotid tissue, of which four were significantly upregulated and three were downregulated in pSS patients compared with non-pSS sicca patients and controls. Notably, one of the human disease-related modules was highly preserved in the mouse model, and was enriched with genes involved in immune and inflammatory responses. Further comparison between these two species led to the identification of genes associated with leukocyte recruitment and germinal center formation. CONCLUSION: Our systems biology analysis of genome-wide expression data from salivary gland tissue of pSS patients and from a pSS mouse model identified common dysregulated biological pathways and molecular targets underlying critical molecular alterations in pSS pathogenesis.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 4%
India 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 32%
Student > Ph. D. Student 15 27%
Other 6 11%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 4 7%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 27%
Medicine and Dentistry 13 23%
Biochemistry, Genetics and Molecular Biology 6 11%
Computer Science 6 11%
Immunology and Microbiology 3 5%
Other 4 7%
Unknown 9 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 May 2019.
All research outputs
#4,353,074
of 14,983,043 outputs
Outputs from Arthritis Research & Therapy
#1,055
of 2,373 outputs
Outputs of similar age
#41,572
of 152,524 outputs
Outputs of similar age from Arthritis Research & Therapy
#1
of 2 outputs
Altmetric has tracked 14,983,043 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,373 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 152,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them