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Genetics of Lafora progressive myoclonic epilepsy: current perspectives

Overview of attention for article published in The Application of Clinical Genetics, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

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Title
Genetics of Lafora progressive myoclonic epilepsy: current perspectives
Published in
The Application of Clinical Genetics, May 2016
DOI 10.2147/tacg.s57890
Pubmed ID
Authors

Miljana Kecmanović, Milica Keckarević-Marković, Dušan Keckarević, Galina Stevanović, Nebojša Jović, Stanka Romac

Abstract

Lafora disease (LD) is a fatal neurodegenerative disorder caused by loss-of-function mutations in either laforin glycogen phosphatase gene (EPM2A) or malin E3 ubiquitin ligase gene (NHLRC1). LD is associated with gradual accumulation of Lafora bodies (LBs). LBs are aggregates of polyglucosan, a long, linear, poorly branched, hyperphosphorylated, insoluble form of glycogen. Loss-of-function mutations either in the EPM2A or in the NHLRC1 gene lead to polyglucosan formation. One hypothesis on LB formation is based on findings that laforin-malin complex downregulates glycogen synthase (GS) through malin-mediated ubiquitination, and the other one is based on findings that laforin dephosphorylates glycogen. According to the first hypothesis, polyglucosan formation is a result of increased GS activity, and according to the second, an increased glycogen phosphate leads to glycogen conformational change, unfolding, precipitation, and conversion to polyglucosan, while GS remains bound to the precipitating glycogen. In this review, we summarize all the recent findings that have important implications for the treatment of LD, all of them showing that partial inhibition of GS activity may be sufficient to prevent the progression of the disease. The current perspective in LD is high-throughput screening for small molecules that act on the disease pathway, that is, partial inhibitors of GS, which opens a therapeutic window for potential treatment of this fatal disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 22%
Student > Doctoral Student 3 11%
Professor 2 7%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 10 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 26%
Medicine and Dentistry 4 15%
Neuroscience 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 3 11%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 April 2021.
All research outputs
#5,344,733
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#76,800
of 312,718 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one scored the same or higher as 0 of them.
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 312,718 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 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them