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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, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 blog
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1 X user
patent
1 patent

Citations

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50 Dimensions

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60 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, November 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
India 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 32%
Student > Ph. D. Student 14 23%
Student > Master 5 8%
Other 5 8%
Student > Bachelor 3 5%
Other 5 8%
Unknown 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 23%
Medicine and Dentistry 13 22%
Computer Science 7 12%
Biochemistry, Genetics and Molecular Biology 5 8%
Immunology and Microbiology 3 5%
Other 5 8%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 November 2023.
All research outputs
#3,262,019
of 25,374,917 outputs
Outputs from Arthritis Research & Therapy
#687
of 3,380 outputs
Outputs of similar age
#23,790
of 202,251 outputs
Outputs of similar age from Arthritis Research & Therapy
#4
of 52 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,380 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 79% 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 202,251 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.