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  5. Improvement of the Rett Syndrome Phenotype in a Mecp2 Mouse Model Upon Treatment with Levodopa and a Dopa-Decarboxylase Inhibitor

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Article
en
2014

Improvement of the Rett Syndrome Phenotype in a Mecp2 Mouse Model Upon Treatment with Levodopa and a Dopa-Decarboxylase Inhibitor

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en
2014
Vol 39 (12)
Vol. 39
DOI: 10.1038/npp.2014.136

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Manel Esteller
Manel Esteller

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Karolina Szczęsna
Olga de la Caridad
Paolo Petazzi
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Abstract

Rett Syndrome is a neurodevelopmental autism spectrum disorder caused by mutations in the gene coding for methyl CpG-binding protein (MeCP2). The disease is characterized by abnormal motor, respiratory, cognitive impairment, and autistic-like behaviors. No effective treatment of the disorder is available. Mecp2 knockout mice have a range of physiological and neurological abnormalities that resemble the human syndrome and can be used as a model to interrogate new therapies. Herein, we show that the combined administration of Levodopa and a Dopa-decarboxylase inhibitor in RTT mouse models is well tolerated, diminishes RTT-associated symptoms, and increases life span. The amelioration of RTT symptomatology is particularly significant in those features controlled by the dopaminergic pathway in the nigrostratium, such as mobility, tremor, and breathing. Most important, the improvement of the RTT phenotype upon use of the combined treatment is reflected at the cellular level by the development of neuronal dendritic growth. However, much work is required to extend the duration of the benefit of the described preclinical treatment.

How to cite this publication

Karolina Szczęsna, Olga de la Caridad, Paolo Petazzi, Marta Soler, Laura M. Roa, Mauricio A. Sáez, Stéphane Fourcade, Aurora Pujol, Rafael Artuch-Iriberri, Marta Molero‐Luis, August Vidal, Dori Huertas, Manel Esteller (2014). Improvement of the Rett Syndrome Phenotype in a Mecp2 Mouse Model Upon Treatment with Levodopa and a Dopa-Decarboxylase Inhibitor. , 39(12), DOI: https://doi.org/10.1038/npp.2014.136.

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Publication Details

Type

Article

Year

2014

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/npp.2014.136

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