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iPSC-derived familial Alzheimer’s PSEN2N141I cholinergic neurons exhibit mutation-dependent molecular pathology corrected by insulin signaling

Overview of attention for article published in Molecular Neurodegeneration, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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115 Mendeley
Title
iPSC-derived familial Alzheimer’s PSEN2N141I cholinergic neurons exhibit mutation-dependent molecular pathology corrected by insulin signaling
Published in
Molecular Neurodegeneration, June 2018
DOI 10.1186/s13024-018-0265-5
Pubmed ID
Authors

Cesar L. Moreno, Lucio Della Guardia, Valeria Shnyder, Maitane Ortiz-Virumbrales, Ilya Kruglikov, Bin Zhang, Eric E. Schadt, Rudolph E. Tanzi, Scott Noggle, Christoph Buettner, Sam Gandy

Abstract

Type 2 diabetes (T2D) is a recognized risk factor for the development of cognitive impairment (CI) and/or dementia, although the exact nature of the molecular pathology of T2D-associated CI remains obscure. One link between T2D and CI might involve decreased insulin signaling in brain and/or neurons in either animal or postmortem human brains as has been reported as a feature of Alzheimer's disease (AD). Here we asked if neuronal insulin resistance is a cell autonomous phenomenon in a familial form of AD. We have applied a newly developed protocol for deriving human basal forebrain cholinergic neurons (BFCN) from skin fibroblasts via induced pluripotent stem cell (iPSC) technology. We generated wildtype and familial AD mutant PSEN2 N141I (presenilin 2) BFCNs and assessed if insulin signaling, insulin regulation of the major AD proteins Aβ and/or tau, and/or calcium fluxes is altered by the PSEN2 N141I mutation. We report herein that wildtype, PSEN2 N141I and CRISPR/Cas9-corrected iPSC-derived BFCNs (and their precursors) show indistinguishable insulin signaling profiles as determined by the phosphorylation of canonical insulin signaling pathway molecules. Chronic insulin treatment of BFCNs of all genotypes led to a reduction in the Aβ42/40 ratio. Unexpectedly, we found a CRISPR/Cas9-correctable effect of PSEN2 N141I on calcium flux, which could be prevented by chronic exposure of BFCNs to insulin. Our studies indicate that the familial AD mutation PSEN2 N141I does not induce neuronal insulin resistance in a cell autonomous fashion. The ability of insulin to correct calcium fluxes and to lower Aβ42/40 ratio suggests that insulin acts to oppose an AD-pathophysiology. Hence, our results are consistent with a potential physiological role for insulin as a mediator of resilience by counteracting specific metabolic and molecular features of AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Student > Ph. D. Student 15 13%
Student > Master 9 8%
Professor 8 7%
Other 7 6%
Other 14 12%
Unknown 44 38%
Readers by discipline Count As %
Neuroscience 22 19%
Biochemistry, Genetics and Molecular Biology 14 12%
Agricultural and Biological Sciences 8 7%
Medicine and Dentistry 8 7%
Nursing and Health Professions 2 2%
Other 13 11%
Unknown 48 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 December 2018.
All research outputs
#2,677,606
of 23,092,602 outputs
Outputs from Molecular Neurodegeneration
#349
of 857 outputs
Outputs of similar age
#56,534
of 329,072 outputs
Outputs of similar age from Molecular Neurodegeneration
#15
of 22 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 59% 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 329,072 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 82% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.