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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of definitive serum biomarkers associated with disease activity in primary Sjögren’s syndrome
|
|---|---|
| Published in |
Arthritis Research & Therapy, May 2016
|
| DOI | 10.1186/s13075-016-1006-1 |
| Pubmed ID | |
| Authors |
Ayumi Nishikawa, Katsuya Suzuki, Yoshiaki Kassai, Yuumi Gotou, Maiko Takiguchi, Takahiro Miyazaki, Keiko Yoshimoto, Hidekata Yasuoka, Kunihiro Yamaoka, Rimpei Morita, Akihiko Yoshimura, Tsutomu Takeuchi |
| Abstract |
In this study, we sought to identify definitive biomarkers associated with disease activity in primary Sjögren's syndrome (pSS). Serum protein concentrations in pSS patients and healthy controls (HCs) were comprehensively screened using high-throughput proteomic analysis, and differentially expressed proteins were extracted. Correlation between differentially expressed proteins and European League Against Rheumatism Sjögren's Syndrome Disease Activity Index (ESSDAI) scores was analyzed and disease activity-associated biomarkers were identified. These biomarkers were validated by enzyme-linked immunosorbent assay (ELISA) in a separate pSS cohort. The serum concentrations of 1100 proteins were compared between 30 pSS patients and 30 HCs, with 82 differentially expressed proteins identified as pSS-associated proteins. Of these 82 proteins, 9 were identified as disease activity-associated biomarkers. These nine biomarkers underwent validation by ELISA in a separate pSS validation cohort (n = 58), with five proteins (CXCL13, TNF-R2, CD48, B-cell activating factor (BAFF), and PD-L2) subsequently being confirmed as candidate biomarkers. Of these five candidate biomarkers, CXCL13 exhibited the most significant correlation with the lymphadenopathy, glandular, and pulmonary domains of the ESSDAI. CXCL13, TNF-R2 and CD48 exhibited a positive correlation with the biological domain of the ESSDAI. TNF-R2 exhibited the most negative correlation with uptake in the submandibular gland on technetium 99m-pertechnetate salivary gland scintigraphy. Our approach successfully identified serum biomarkers associated with disease activity in pSS patients. These markers might be potential therapeutic targets in pSS patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 10 | 16% |
| Other | 7 | 11% |
| Student > Master | 6 | 10% |
| Professor | 5 | 8% |
| Other | 13 | 21% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 44% |
| Agricultural and Biological Sciences | 7 | 11% |
| Immunology and Microbiology | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Neuroscience | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 13 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 May 2016.
All research outputs
#3,621,892
of 25,374,647 outputs
Outputs from Arthritis Research & Therapy
#819
of 3,381 outputs
Outputs of similar age
#57,714
of 328,715 outputs
Outputs of similar age from Arthritis Research & Therapy
#12
of 54 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 74% 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 328,715 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 82% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.