↓ Skip to main content

Neural Stem Cell-Based Regenerative Approaches for the Treatment of Multiple Sclerosis

Overview of attention for article published in Molecular Neurobiology, May 2017
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
89 Mendeley
Title
Neural Stem Cell-Based Regenerative Approaches for the Treatment of Multiple Sclerosis
Published in
Molecular Neurobiology, May 2017
DOI 10.1007/s12035-017-0566-7
Pubmed ID
Authors

Juan Xiao, Rongbing Yang, Sangita Biswas, Yunhua Zhu, Xin Qin, Min Zhang, Lihong Zhai, Yi Luo, Xiaoming He, Chun Mao, Wenbin Deng

Abstract

Multiple sclerosis (MS) is a chronic, autoimmune, inflammatory, and demyelinating disorder of the central nervous system (CNS), which ultimately leads to axonal loss and permanent neurological disability. Current treatments for MS are largely comprised of medications that are either immunomodulatory or immunosuppressive and are aimed at reducing the frequency and intensity of relapses. Neural stem cells (NSCs) in the adult brain can differentiate into oligodendrocytes in a context-specific manner and are shown to be involved in the remyelination in these patients. NSCs may exert their beneficial effects not only through oligodendrocyte replacement but also by providing trophic support and immunomodulation, a phenomenon now known as "therapeutic plasticity." In this review, we first provided an update on the current knowledge regarding MS pathogenesis and the role of immune cells, microglia, and oligodendrocytes in MS disease progression. Next, we reviewed the current progress on research aimed toward stimulating endogenous NSC proliferation and differentiation to oligodendrocytes in vivo and in animal models of demyelination. In addition, we explored the neuroprotective and immunomodulatory effects of transplanted exogenous NSCs on T cell activation, microglial activation, and endogenous remyelination and their effects on the pathological process and prognosis in animal models of MS. Finally, we examined various protocols to generate genetically engineered NSCs as a potential therapy for MS. Overall, this review highlights the studies involving the immunomodulatory, neurotrophic, and regenerative effects of NSCs and novel methods aiming at stimulating the potential of NSCs for the treatment of MS.

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 18%
Student > Ph. D. Student 12 13%
Student > Master 12 13%
Student > Doctoral Student 8 9%
Lecturer 3 3%
Other 8 9%
Unknown 30 34%
Readers by discipline Count As %
Medicine and Dentistry 12 13%
Biochemistry, Genetics and Molecular Biology 10 11%
Neuroscience 10 11%
Immunology and Microbiology 5 6%
Agricultural and Biological Sciences 5 6%
Other 9 10%
Unknown 38 43%
Attention Score in Context

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 27 February 2019.
All research outputs
#17,890,958
of 22,968,808 outputs
Outputs from Molecular Neurobiology
#2,348
of 3,478 outputs
Outputs of similar age
#221,844
of 310,760 outputs
Outputs of similar age from Molecular Neurobiology
#80
of 127 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,478 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 28th percentile – i.e., 28% 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 310,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.