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Prolactin in combination with interferon-β reduces disease severity in an animal model of multiple sclerosis

Overview of attention for article published in Journal of Neuroinflammation, March 2015
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 news outlet
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Citations

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37 Mendeley
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Title
Prolactin in combination with interferon-β reduces disease severity in an animal model of multiple sclerosis
Published in
Journal of Neuroinflammation, March 2015
DOI 10.1186/s12974-015-0278-8
Pubmed ID
Authors

Simon Zhornitsky, Trina A Johnson, Luanne M Metz, Samuel Weiss, V Wee Yong

Abstract

Previous work has demonstrated that the hormone prolactin promotes oligodendrocyte precursor proliferation and remyelination following lysolecithin-induced demyelination of the mouse spinal cord. Prolactin, however, can elicit pro-inflammatory responses, and its use in the prototypical demyelinating and inflammatory condition, multiple sclerosis (MS), should thus be approached cautiously. Here, we sought to determine whether recombinant prolactin could alter the course of experimental autoimmune encephalomyelitis (EAE), an inflammatory animal model of MS. Consistent with previous literature, we found that prolactin activated leukocytes in vitro. Daily treatment with prolactin from around the time of onset of clinical signs, for 9 (days 9 to 17) or 25 (days 9 to 33) days did not increase clinical or histological signs of EAE over that of vehicle-treated mice. Instead, the combination of prolactin and a suboptimal dose of recombinant murine interferon-β resulted in (days 9 to 17 group) or trended towards (days 9 to 33 group), a greater amelioration of clinical signs of EAE, compared to either treatment alone or to vehicle controls. Histological analyses corroborated the clinical EAE data. These results suggest that prolactin may be beneficial when administered in combination with interferon-β in MS.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Student > Bachelor 5 14%
Researcher 4 11%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 8 22%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 16%
Neuroscience 5 14%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Nursing and Health Professions 4 11%
Other 10 27%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 March 2016.
All research outputs
#3,197,863
of 22,816,807 outputs
Outputs from Journal of Neuroinflammation
#641
of 2,629 outputs
Outputs of similar age
#43,450
of 263,687 outputs
Outputs of similar age from Journal of Neuroinflammation
#10
of 48 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 72% 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 263,687 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 83% 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 77% of its contemporaries.