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Treatment of multiple sclerosis by transplantation of neural stem cells derived from induced pluripotent stem cells

Overview of attention for article published in Science China Life Sciences, May 2016
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77 Mendeley
Title
Treatment of multiple sclerosis by transplantation of neural stem cells derived from induced pluripotent stem cells
Published in
Science China Life Sciences, May 2016
DOI 10.1007/s11427-016-0114-9
Pubmed ID
Authors

Chao Zhang, Jiani Cao, Xiaoyan Li, Haoyu Xu, Weixu Wang, Libin Wang, Xiaoyang Zhao, Wei Li, Jianwei Jiao, Baoyang Hu, Qi Zhou, Tongbiao Zhao

Abstract

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS), with focal T lymphocytic infiltration and damage of myelin and axons. The underlying mechanism of pathogenesis remains unclear and there are currently no effective treatments. The development of neural stem cell (NSC) transplantation provides a promising strategy to treat neurodegenerative disease. However, the limited availability of NSCs prevents their application in neural disease therapy. In this study, we generated NSCs from induced pluripotent stem cells (iPSCs) and transplanted these cells into mice with experimental autoimmune encephalomyelitis (EAE), a model of MS. The results showed that transplantation of iPSC-derived NSCs dramatically reduced T cell infiltration and ameliorated white matter damage in the treated EAE mice. Correspondingly, the disease symptom score was greatly decreased, and motor ability was dramatically rescued in the iPSC-NSC-treated EAE mice, indicating the effectiveness of using iPSC-NSCs to treat MS. Our study provides pre-clinical evidence to support the feasibility of treating MS by transplantation of iPSC-derived NSCs.

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The data shown below were collected from the profiles of 2 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
China 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 23%
Student > Ph. D. Student 13 17%
Student > Master 10 13%
Researcher 5 6%
Student > Postgraduate 4 5%
Other 8 10%
Unknown 19 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 17%
Neuroscience 12 16%
Medicine and Dentistry 10 13%
Agricultural and Biological Sciences 6 8%
Immunology and Microbiology 3 4%
Other 10 13%
Unknown 23 30%
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 29 May 2016.
All research outputs
#14,853,520
of 22,875,477 outputs
Outputs from Science China Life Sciences
#428
of 1,005 outputs
Outputs of similar age
#200,933
of 338,302 outputs
Outputs of similar age from Science China Life Sciences
#9
of 21 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,005 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 52% 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 338,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.