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Emerging and Evolving Topics in Multiple Sclerosis Pathogenesis and Treatments

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Attention for Chapter 378: Modelling MS: Chronic-Relapsing EAE in the NOD/Lt Mouse Strain.
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Chapter title
Modelling MS: Chronic-Relapsing EAE in the NOD/Lt Mouse Strain.
Chapter number 378
Book title
Emerging and Evolving Topics in Multiple Sclerosis Pathogenesis and Treatments
Published in
Current topics in behavioral neurosciences, July 2015
DOI 10.1007/7854_2015_378
Pubmed ID
Book ISBNs
978-3-31-925541-5, 978-3-31-925543-9
Authors

Dang, Phuc T, Bui, Quyen, D'Souza, Claretta S, Orian, Jacqueline M, Dang, Phuc T., D’Souza, Claretta S., Orian, Jacqueline M., Phuc T. Dang, Quyen Bui, Claretta S. D’Souza, Jacqueline M. Orian

Abstract

Modelling complex disorders presents considerable challenges, and multiple sclerosis (MS) is no exception to this rule. The aetiology of MS is unknown, and its pathophysiology is poorly understood. Moreover, the last two decades have witnessed a dramatic revision of the long-held view of MS as an inflammatory demyelinating white matter disease. Instead, it is now regarded as a global central nervous system (CNS) disorder with a neurodegenerative component. Currently, there is no animal model recapitulating MS immunopathogenesis. Available models are based on autoimmune-mediated demyelination, denoted experimental autoimmune encephalomyelitis (EAE ) or virally or chemically induced demyelination. Of these, the EAE model has been the most commonly used. It has been extensively improved since its first description and now exists as a number of variants, including genetically modified and humanized versions. Nonetheless, EAE is a distinct disease, and each variant models only certain facets of MS. Whilst the search for more refined MS models must continue, it is important to further explore where mechanisms underlying EAE provide proof-of-principle for those driving MS pathogenesis. EAE variants generated with the myelin component myelin oligodendrocyte glycoprotein (MOG ) have emerged as the preferred ones, because in this particular variant disease is associated with both T- and B-cell effector mechanisms, together with demyelination. MOG-induced EAE in the non-obese diabetic (NOD) mouse strain exhibits a chronic-relapsing EAE clinical profile and high disease incidence. We describe the generation of this variant, its contribution to the understanding of MS immune and pathogenetic mechanisms and potential for evaluation of candidate therapies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 6 13%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 4 9%
Other 8 18%
Unknown 9 20%
Readers by discipline Count As %
Neuroscience 9 20%
Medicine and Dentistry 8 18%
Biochemistry, Genetics and Molecular Biology 5 11%
Nursing and Health Professions 4 9%
Immunology and Microbiology 4 9%
Other 5 11%
Unknown 10 22%
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 20 December 2015.
All research outputs
#13,745,087
of 23,302,246 outputs
Outputs from Current topics in behavioral neurosciences
#268
of 499 outputs
Outputs of similar age
#125,544
of 264,481 outputs
Outputs of similar age from Current topics in behavioral neurosciences
#2
of 6 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 44th percentile – i.e., 44% 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 264,481 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 50% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.