↓ Skip to main content

Modeling Alzheimer’s Disease by Induced Pluripotent Stem Cells Carrying APP D678H Mutation

Overview of attention for article published in Molecular Neurobiology, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
6 X users

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
82 Mendeley
Title
Modeling Alzheimer’s Disease by Induced Pluripotent Stem Cells Carrying APP D678H Mutation
Published in
Molecular Neurobiology, September 2018
DOI 10.1007/s12035-018-1336-x
Pubmed ID
Authors

Kuo-Hsuan Chang, Guey-Jen Lee-Chen, Ching-Chang Huang, Jia-Li Lin, Yi-Jing Chen, Pei-Chi Wei, Yen-Shi Lo, Chin-Fa Yao, Ming-Wei Kuo, Chiung-Mei Chen

Abstract

Alzheimer's disease (AD), probably caused by abnormal accumulation of β-amyloid (Aβ) and aberrant phosphorylation of tau, is the most common cause of dementia among older people. Generation of patient-specific neurons by induced pluripotent stem cell (iPSC) technology facilitates exploration of the disease features in live human neurons from AD patients. In this study, we generated iPSCs from two familial AD patients carrying a heterozygous D678H mutation in the APP gene (AD-iPSCs). The neurons derived from our AD-iPSCs demonstrated aberrant accumulation of intracellular and secreted Aβ42 and Aβ40, reduction of serine 9 phosphorylation in glycogen synthase kinase 3β (GSK3β) hyperphosphorylation of threonine 181 and serine 396 in tau protein, impaired neurite outgrowth, downregulation of synaptophysin, and increased caspase 1 activity. The comparison between neurons derived from a sibling pair of wild-type and mutated iPSCs successfully recapitulated these AD phenotypes. Treatment with indole compound NC009-1 (3-((1H-Indole-3-yl)methyl)-4-(2-nitrophenyl)but-3-en-2-one), a potential Aβ aggregation reducer, normalized the Aβ levels and GSK3β and tau phosphorylation, attenuated caspase 1 activity, and improved neurite outgrowth in AD-iPSC-derived neurons. Thus, APP D678H iPSCs-derived neurons recapitulate the cellular characteristics relevant to AD and enable exploration of the underlying pathogenesis and therapeutic strategies for AD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 21%
Student > Ph. D. Student 15 18%
Student > Master 10 12%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 10 12%
Unknown 20 24%
Readers by discipline Count As %
Neuroscience 25 30%
Biochemistry, Genetics and Molecular Biology 16 20%
Agricultural and Biological Sciences 10 12%
Engineering 4 5%
Medicine and Dentistry 3 4%
Other 3 4%
Unknown 21 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 30 August 2019.
All research outputs
#1,778,074
of 23,103,903 outputs
Outputs from Molecular Neurobiology
#147
of 3,499 outputs
Outputs of similar age
#39,764
of 342,063 outputs
Outputs of similar age from Molecular Neurobiology
#7
of 103 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,499 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 95% 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 342,063 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 88% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.