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Using C. elegans to discover therapeutic compounds for ageing-associated neurodegenerative diseases

Overview of attention for article published in BMC Chemistry, November 2015
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Title
Using C. elegans to discover therapeutic compounds for ageing-associated neurodegenerative diseases
Published in
BMC Chemistry, November 2015
DOI 10.1186/s13065-015-0143-y
Pubmed ID
Authors

Xi Chen, Jeff W. Barclay, Robert D. Burgoyne, Alan Morgan

Abstract

Age-associated neurodegenerative disorders such as Alzheimer's disease are a major public health challenge, due to the demographic increase in the proportion of older individuals in society. However, the relatively few currently approved drugs for these conditions provide only symptomatic relief. A major goal of neurodegeneration research is therefore to identify potential new therapeutic compounds that can slow or even reverse disease progression, either by impacting directly on the neurodegenerative process or by activating endogenous physiological neuroprotective mechanisms that decline with ageing. This requires model systems that can recapitulate key features of human neurodegenerative diseases that are also amenable to compound screening approaches. Mammalian models are very powerful, but are prohibitively expensive for high-throughput drug screens. Given the highly conserved neurological pathways between mammals and invertebrates, Caenorhabditis elegans has emerged as a powerful tool for neuroprotective compound screening. Here we describe how C. elegans has been used to model various human ageing-associated neurodegenerative diseases and provide an extensive list of compounds that have therapeutic activity in these worm models and so may have translational potential.

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Mendeley readers

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 19%
Student > Bachelor 35 15%
Student > Master 30 13%
Researcher 26 11%
Other 12 5%
Other 27 12%
Unknown 56 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 26%
Agricultural and Biological Sciences 43 19%
Neuroscience 19 8%
Medicine and Dentistry 14 6%
Pharmacology, Toxicology and Pharmaceutical Science 10 4%
Other 25 11%
Unknown 60 26%