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Recolector de Ciencia Abierta, RECOLECTA
Part of book or chapter of book . 2018 . Peer-reviewed
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CNS targets for the treatment of retinal dystrophies: a Win-Win strategy

Authors: De la Rosa, Enrique J.; Hernández-Sánchez, Catalina;

CNS targets for the treatment of retinal dystrophies: a Win-Win strategy

Abstract

As an extension of the central nervous system (CNS), the retina shares with the brain certain developmental, physiological, and pathological characteristics. However, the underlying mechanisms and pathological signs common to neurodegenerative conditions of both the retina and brain have been relatively overlooked. In animal models and in human patients, marked retinal alterations have been demonstrated in Alzheimer´s disease,Parkinson´s disease, and multiple sclerosis, among other pathologies. Furthermore,neurodegeneration of the retina and brain appears to be mediated by similar mechanisms,which include protein aggregation, neuroinflammation, and cell death. Analysis of the retina, which is easily accessible to objective techniques, may therefore constitute an effective tool for the screening and follow-up of CNS neurodegeneration. Moreover,patients with retinal neurodegeneration could potentially benefit from the broad array of pharmacological compounds that have been designed and tested for the treatment of the aforementioned CNS pathologies. Supporting this view, we have shown that GSK-3 inhibitors, which have already been tested in clinical trials to treat several neurodegenerative conditions of the brain, attenuate retinal damage and vision loss in a mouse model of retinitis pigmentosa. Furthermore, systemic proinsulin treatment preserves visual and cognitive function in mouse models of retinitis pigmentosa and precocious aging, respectively.

Research in our lab is supported by grants CDS2010-00045 and SAF2016-75681-R from the Spanish Ministry of Economy, Industry and Competitiveness.

18 p.-4 fig.-2 tab.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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