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Neural stem cells for disease modeling of Wolman disease and evaluation of therapeutics

Overview of attention for article published in Orphanet Journal of Rare Diseases, June 2017
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Title
Neural stem cells for disease modeling of Wolman disease and evaluation of therapeutics
Published in
Orphanet Journal of Rare Diseases, June 2017
DOI 10.1186/s13023-017-0670-9
Pubmed ID
Authors

Francis Aguisanda, Charles D. Yeh, Catherine Z. Chen, Rong Li, Jeanette Beers, Jizhong Zou, Natasha Thorne, Wei Zheng

Abstract

Wolman disease (WD) is a rare lysosomal storage disorder that is caused by mutations in the LIPA gene encoding lysosomal acid lipase (LAL). Deficiency in LAL function causes accumulation of cholesteryl esters and triglycerides in lysosomes. Fatality usually occurs within the first year of life. While an enzyme replacement therapy has recently become available, there is currently no small-molecule drug treatment for WD. We have generated induced pluripotent stem cells (iPSCs) from two WD patient dermal fibroblast lines and subsequently differentiated them into neural stem cells (NSCs). The WD NSCs exhibited the hallmark disease phenotypes of neutral lipid accumulation, severely deficient LAL activity, and increased LysoTracker dye staining. Enzyme replacement treatment dramatically reduced the WD phenotype in these cells. In addition, δ-tocopherol (DT) and hydroxypropyl-beta-cyclodextrin (HPBCD) significantly reduced lysosomal size in WD NSCs, and an enhanced effect was observed in DT/HPBCD combination therapy. The results demonstrate that these WD NSCs are valid cell-based disease models with characteristic disease phenotypes that can be used to evaluate drug efficacy and screen compounds. DT and HPBCD both reduce LysoTracker dye staining in WD cells. The cells may be used to further dissect the pathology of WD, evaluate compound efficacy, and serve as a platform for high-throughput drug screening to identify new compounds for therapeutic development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Bachelor 6 18%
Student > Ph. D. Student 5 15%
Other 2 6%
Student > Master 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 6 18%
Neuroscience 4 12%
Medicine and Dentistry 3 9%
Engineering 2 6%
Other 3 9%
Unknown 8 24%
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 09 July 2017.
All research outputs
#13,558,573
of 22,982,639 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,426
of 2,637 outputs
Outputs of similar age
#160,816
of 315,511 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#27
of 40 outputs
Altmetric has tracked 22,982,639 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 2,637 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 43rd percentile – i.e., 43% 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 315,511 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.