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Systemic alterations in plasma proteins from women with chronic widespread pain compared to healthy controls: a proteomic study

Overview of attention for article published in Journal of Pain Research, April 2017
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Title
Systemic alterations in plasma proteins from women with chronic widespread pain compared to healthy controls: a proteomic study
Published in
Journal of Pain Research, April 2017
DOI 10.2147/jpr.s128597
Pubmed ID
Authors

Karin Wåhlén, Patrik Olausson, Anders Carlsson, Nazdar Ghafouri, Björn Gerdle, Bijar Ghafouri

Abstract

Chronic widespread pain (CWP) is a complex pain condition that is difficult to treat. The prevalence of CWP approximates ~10% of the general population, with higher prevalence in women. Lack of understanding of molecular mechanisms has been a challenge for diagnosis and treatment of chronic pain. The aim of this study was to explore the systemic protein changes in CWP compared to those in healthy controls (CON). By applying 2-dimensional gel electrophoresis, we analyzed the protein pattern of plasma samples from women with CWP (n=16) and healthy women (n=23). The proteomic data were analyzed using multivariate statistical models, and altered proteins were identified using mass spectrometry. The proteome analysis was further validated by gel-free Western blot. Multivariate statistical data analysis of quantified proteins revealed 22 altered proteins in women with CWP, compared to CON group. Many of the identified proteins are previously known to be involved in different parts of the complement system and metabolic and inflammatory processes, e.g., complement factor B, vitamin D-binding protein, ceruloplasmin, transthyretin and alpha-2-HS-glycoprotein. These results indicate that important systemic protein differences exist between women with CWP and healthy women. Further, this study illustrates the potential use of proteomics to detect biomarkers that may provide new insights into the molecular mechanism(s) of chronic pain. However, further larger investigations are required in order to confirm these findings before it will be possible to identify proteins as potential pain biomarkers for clinical use.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 7%
Other 4 13%
Unknown 9 30%
Readers by discipline Count As %
Medicine and Dentistry 8 27%
Biochemistry, Genetics and Molecular Biology 3 10%
Nursing and Health Professions 2 7%
Agricultural and Biological Sciences 2 7%
Immunology and Microbiology 2 7%
Other 4 13%
Unknown 9 30%
Attention Score in Context

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 06 April 2017.
All research outputs
#15,879,822
of 25,584,565 outputs
Outputs from Journal of Pain Research
#1,123
of 1,969 outputs
Outputs of similar age
#179,944
of 324,452 outputs
Outputs of similar age from Journal of Pain Research
#41
of 64 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 324,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.