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New approaches to the treatment of orphan genetic disorders: Mitigating molecular pathologies using chemicals

Overview of attention for article published in Anais da Academia Brasileira de Ciências, August 2015
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Title
New approaches to the treatment of orphan genetic disorders: Mitigating molecular pathologies using chemicals
Published in
Anais da Academia Brasileira de Ciências, August 2015
DOI 10.1590/0001-3765201520140711
Pubmed ID
Authors

Renata V Velho, Fernanda Sperb-Ludwig, Ida V D Schwartz

Abstract

With the advance and popularization of molecular techniques, the identification of genetic mutations that cause diseases has increased dramatically. Thus, the number of laboratories available to investigate a given disorder and the number of subsequent diagnosis have increased over time. Although it is necessary to identify mutations and provide diagnosis, it is also critical to develop specific therapeutic approaches based on this information. This review aims to highlight recent advances in mutation-targeted therapies with chemicals that mitigate mutational pathology at the molecular level, for disorders that, for the most part, have no effective treatment. Currently, there are several strategies being used to correct different types of mutations, including the following: the identification and characterization of translational readthrough compounds; antisense oligonucleotide-mediated splicing redirection; mismatch repair; and exon skipping. These therapies and other approaches are reviewed in this paper.

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Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Master 5 26%
Professor 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 1 5%
Other 0 0%
Unknown 3 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 16%
Medicine and Dentistry 3 16%
Nursing and Health Professions 2 11%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Other 3 16%
Unknown 4 21%