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Complementary serum proteomic analysis of autoimmune hepatitis in mice and patients

Overview of attention for article published in Journal of Translational Medicine, June 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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1 patent

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18 Mendeley
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Title
Complementary serum proteomic analysis of autoimmune hepatitis in mice and patients
Published in
Journal of Translational Medicine, June 2013
DOI 10.1186/1479-5876-11-146
Pubmed ID
Authors

Hongbin Li, Guoshun Li, Xinyu Zhao, Yongkang Wu, Wen Ma, Yuling Liu, Fengming Gong, Shufang Liang

Abstract

BACKGROUND: Autoimmune hepatitis (AIH) is a chronic liver disease caused by inflammation of the liver. The etiology of AIH remains elusive, and there are no reliable serum biomarkers. METHODS: In order to identify candidate biomarkers, 2-DE analysis of serum proteins was performed using a mouse model of AIH induced by treatment with concanavalin A (ConA). To enrich samples for low abundance molecules a commercial albumin removal reagent was used. In an independent analysis, candidate biomarkers were identified in AIH patient's serum by a targeted iTRAQ (isobaric tags for relative and absolute quantification) identification. Candidates were validated in independent cohorts of ConA treated mice and AIH patients by ELISA (enzyme-linked immuno sorbent assay). RESULTS: Nine proteins were differentially expressed in AIH mice treated with con-A. Two of these, the third component of complement (C3) and alpha-2-macroglobulin (A2M) were also up-regulated in AIH patient's sera by a targeted iTRAQ identification. In separate validation studies, serum C3 and A2M levels were increased in mice with ConA treatment after 20-40 h and in 34 AIH patients in a subgroup analysis, females with AIH aged 20--50 years old displayed the largest increases in serum A2M level. Biological network analysis implements the complement cascade and protease inhibitors in the pathogenesis of AIH. CONCLUSION: The serum proteins C3 and A2M are increased both in a mouse model and inpatients with AIH by both 2-DE and iTRAQ methods. This integrated serum proteomics investigation should be applicable for translational researchers to study other medical conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 3 17%
Researcher 3 17%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 3 17%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 39%
Agricultural and Biological Sciences 3 17%
Medicine and Dentistry 3 17%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2023.
All research outputs
#5,115,498
of 24,220,739 outputs
Outputs from Journal of Translational Medicine
#880
of 4,315 outputs
Outputs of similar age
#42,178
of 200,669 outputs
Outputs of similar age from Journal of Translational Medicine
#12
of 42 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,315 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 78% 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 200,669 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 76% of its contemporaries.
We're also able to compare this research output to 42 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 73% of its contemporaries.