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Increase of CSF inflammatory profile in a case of highly active multiple sclerosis

Overview of attention for article published in BMC Neurology, September 2019
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 news outlet
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3 X users

Citations

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12 Dimensions

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29 Mendeley
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Title
Increase of CSF inflammatory profile in a case of highly active multiple sclerosis
Published in
BMC Neurology, September 2019
DOI 10.1186/s12883-019-1455-7
Pubmed ID
Authors

R. Magliozzi, D. Marastoni, S. Rossi, M. Castellaro, V. Mazziotti, M. Pitteri, A. Gajofatto, S. Monaco, M. D. Benedetti, M. Calabrese

Abstract

Clinical and imaging follow-up coupled with cerebrospinal fluid (CSF) and possibly serum profiling could provide information on disease activity and disability evolution in multiple sclerosis patients. We describe the case of a relapsing-remitting MS patient whose history was characterized by failure of several therapeutic approaches and sustained disease activity. By using a highly sensitive immunoassay methodology, we examined protein expression of 70 inflammatory/cytotoxic molecules in two consecutive paired CSF and serum samples, obtained respectively in 2006 and 2013. At disease diagnosis, elevated CSF protein levels of an inflammatory pattern, including CXCL13, CXCL12, IFNγ, TNF, sTNFR1, IL8, sCD163, APRIL, BAFF, pentraxin III and MMP2 were found compared with a group of controls. At the second lumbar puncture, sustained disease activity was accompanied by considerable (more than 2 fold changes) increase expression of most of these inflammatory molecules while no significant changes in serum inflammatory markers were detected in the two consecutive serum samples. Elevated CSF protein expression of pro-inflammatory mediators, possibly specifically associated to GM demyelination, could remain stable or increase over time in patients with active multiple sclerosis. We underline the role of fluid analysis in understanding the pathophysiology of the disease and providing information on possible markers of disease activity and evolution.

X Demographics

X Demographics

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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 14%
Professor > Associate Professor 3 10%
Student > Master 3 10%
Student > Ph. D. Student 2 7%
Student > Bachelor 2 7%
Other 4 14%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Neuroscience 4 14%
Immunology and Microbiology 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Psychology 1 3%
Other 1 3%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 October 2019.
All research outputs
#2,875,656
of 23,164,913 outputs
Outputs from BMC Neurology
#315
of 2,479 outputs
Outputs of similar age
#61,441
of 346,238 outputs
Outputs of similar age from BMC Neurology
#10
of 48 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,479 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 86% 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 346,238 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.