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Attention Score in Context
| Title |
Multivariate proteomic analysis of the cerebrospinal fluid of patients with peripheral neuropathic pain and healthy controls – a hypothesis-generating pilot study
|
|---|---|
| Published in |
Journal of Pain Research, July 2015
|
| DOI | 10.2147/jpr.s82970 |
| Pubmed ID | |
| Authors |
Emmanuel Bäckryd, Bijar Ghafouri, Anders K Carlsson, Patrik Olausson, Björn Gerdle |
| Abstract |
Pain medicine lacks objective biomarkers to guide diagnosis and treatment. Combining two-dimensional gel proteomics with multivariate data analysis by projection, we exploratively analyzed the cerebrospinal fluid of eleven patients with severe peripheral neuropathic pain due to trauma and/or surgery refractory to conventional treatment and eleven healthy controls. Using orthogonal partial least squares discriminant analysis, we identified a panel of 36 proteins highly discriminating between the two groups. Due to a possible confounding effect of age, a new model with age as outcome variable was computed for patients (n=11), and four out of 36 protein spots were excluded due to a probable influence of age. Of the 32 remaining proteins, the following seven had the highest discriminatory power between the two groups: an isoform of angiotensinogen (upregulated in patients), two isoforms of alpha-1-antitrypsin (downregulated in patients), three isoforms of haptoglobin (upregulated in patients), and one isoform of pigment epithelium-derived factor (downregulated in patients). It has recently been hypothesized that the renin-angiotensin system may play a role in the pathophysiology of neuropathic pain, and a clinical trial of an angiotensin II receptor antagonist was recently published. It is noteworthy that when searching for neuropathic pain biomarkers with a purely explorative methodology, it was indeed a renin-angiotensin system protein that had the highest discriminatory power between patients and controls in the present study. The results from this hypothesis-generating pilot study have to be confirmed in larger, hypothesis-driven studies with age-matched controls, but the present study illustrates the fruitfulness of combining proteomics with multivariate data analysis in hypothesis-generating pain biomarker studies in humans. |
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 Kingdom | 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Bachelor | 8 | 14% |
| Student > Doctoral Student | 4 | 7% |
| Other | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 10 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 23% |
| Neuroscience | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Engineering | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 September 2022.
All research outputs
#22,944,146
of 25,582,611 outputs
Outputs from Journal of Pain Research
#1,772
of 1,969 outputs
Outputs of similar age
#236,837
of 277,878 outputs
Outputs of similar age from Journal of Pain Research
#30
of 31 outputs
Altmetric has tracked 25,582,611 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.