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Distinct proteome pathology of circulating microparticles in systemic lupus erythematosus

Overview of attention for article published in Clinical Proteomics, June 2017
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)

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Title
Distinct proteome pathology of circulating microparticles in systemic lupus erythematosus
Published in
Clinical Proteomics, June 2017
DOI 10.1186/s12014-017-9159-8
Pubmed ID
Authors

Ole Østergaard, Christoffer Tandrup Nielsen, Julia T. Tanassi, Line V. Iversen, Søren Jacobsen, Niels H. H. Heegaard

Abstract

The pathogenesis of systemic lupus erythematosus (SLE) is poorly understood but has been linked to defective clearance of subcellular particulate material from the circulation. This study investigates the origin, formation, and specificity of circulating microparticles (MPs) in patients with SLE based on comprehensive MP proteome profiling using patients with systemic sclerosis (SSc) and healthy donors (HC) as controls. We purified MPs from platelet-poor plasma using differential centrifugation of samples from SLE (n = 45), SSc (n = 38), and two sets of HC (n = 35, n = 25). MP proteins were identified and quantitated after trypsin digestion by liquid chromatography-tandem mass spectrometry. The abundance of specific proteins was compared between the groups using univariate statistics and false discovery rate correction for multiple comparisons. Specific proteins and protein ratios were explored for diagnostic and disease activity information using receiver-operating characteristic curves and by analysis of correlations of protein abundance with disease activity scores. We identify and quantitate more than 1000 MP proteins and show that a subpopulation of SLE-MPs (which we propose to call luposomes) are highly specific for SLE, i.e. not found in MP preparations from HC or patients with another autoimmune, systemic disease, SSc. In SLE-MPs platelet proteins and mitochondrial proteins are significantly diminished, cytoskeletal proteins deranged, and glycolytic enzymes and apoptotic proteins significantly increased. Normal MPs are efficiently removed in SLE, but aberrant MPs, derived from non-lymphoid leukocytes, are less efficiently removed and abundantly produced leading to an altered MP proteome in SLE. The data suggest that an abnormal generation of MPs may partake in the pathology of SLE and that new diagnostic, monitoring, and treatment strategies targeting these processes may be advantageous.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Unspecified 4 17%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Student > Bachelor 2 8%
Other 6 25%
Readers by discipline Count As %
Medicine and Dentistry 7 29%
Biochemistry, Genetics and Molecular Biology 6 25%
Unspecified 6 25%
Immunology and Microbiology 1 4%
Chemistry 1 4%
Other 3 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 March 2019.
All research outputs
#7,294,822
of 13,511,578 outputs
Outputs from Clinical Proteomics
#70
of 178 outputs
Outputs of similar age
#115,474
of 265,668 outputs
Outputs of similar age from Clinical Proteomics
#1
of 1 outputs
Altmetric has tracked 13,511,578 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 58% 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 265,668 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 54% of its contemporaries.
We're also able to compare this research output to 1 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