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Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome

Despite recent scientific advances, most rare genetic diseases — including most neuromuscular diseases — do not currently have curative gene-based therapies available. However, in some cases, such as vitamin, cofactor or enzyme deficiencies, channelopathies and disorders of the neuromuscular junctio...

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Autores principales: Thompson, Rachel, Bonne, Gisèle, Missier, Paolo, Lochmüller, Hanns
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436731/
https://www.ncbi.nlm.nih.gov/pubmed/30931400
http://dx.doi.org/10.1042/ETLS20180100
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author Thompson, Rachel
Bonne, Gisèle
Missier, Paolo
Lochmüller, Hanns
author_facet Thompson, Rachel
Bonne, Gisèle
Missier, Paolo
Lochmüller, Hanns
author_sort Thompson, Rachel
collection PubMed
description Despite recent scientific advances, most rare genetic diseases — including most neuromuscular diseases — do not currently have curative gene-based therapies available. However, in some cases, such as vitamin, cofactor or enzyme deficiencies, channelopathies and disorders of the neuromuscular junction, a confirmed genetic diagnosis provides guidance on treatment, with drugs available that may significantly alter the disease course, improve functional ability and extend life expectancy. Nevertheless, many treatable patients remain undiagnosed or do not receive treatment even after genetic diagnosis. The growth of computer-aided genetic analysis systems that enable clinicians to diagnose their undiagnosed patients has not yet been matched by genetics-based decision-support systems for treatment guidance. Generating a ‘treatabolome’ of treatable variants and the evidence for the treatment has the potential to increase treatment rates for treatable conditions. Here, we use the congenital myasthenic syndromes (CMS), a group of clinically and genetically heterogeneous but frequently treatable neuromuscular conditions, to illustrate the steps in the creation of a treatabolome for rare inherited diseases. We perform a systematic review of the evidence for pharmacological treatment of each CMS type, gathering evidence from 207 studies of over 1000 patients and stratifying by genetic defect, as treatment varies depending on the underlying cause. We assess the strength and quality of the evidence and create a dataset that provides the foundation for a computer-aided system to enable clinicians to gain easier access to information about treatable variants and the evidence they need to consider.
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spelling pubmed-64367312019-03-27 Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome Thompson, Rachel Bonne, Gisèle Missier, Paolo Lochmüller, Hanns Emerg Top Life Sci Review Articles Despite recent scientific advances, most rare genetic diseases — including most neuromuscular diseases — do not currently have curative gene-based therapies available. However, in some cases, such as vitamin, cofactor or enzyme deficiencies, channelopathies and disorders of the neuromuscular junction, a confirmed genetic diagnosis provides guidance on treatment, with drugs available that may significantly alter the disease course, improve functional ability and extend life expectancy. Nevertheless, many treatable patients remain undiagnosed or do not receive treatment even after genetic diagnosis. The growth of computer-aided genetic analysis systems that enable clinicians to diagnose their undiagnosed patients has not yet been matched by genetics-based decision-support systems for treatment guidance. Generating a ‘treatabolome’ of treatable variants and the evidence for the treatment has the potential to increase treatment rates for treatable conditions. Here, we use the congenital myasthenic syndromes (CMS), a group of clinically and genetically heterogeneous but frequently treatable neuromuscular conditions, to illustrate the steps in the creation of a treatabolome for rare inherited diseases. We perform a systematic review of the evidence for pharmacological treatment of each CMS type, gathering evidence from 207 studies of over 1000 patients and stratifying by genetic defect, as treatment varies depending on the underlying cause. We assess the strength and quality of the evidence and create a dataset that provides the foundation for a computer-aided system to enable clinicians to gain easier access to information about treatable variants and the evidence they need to consider. Portland Press Ltd. 2019-03-29 2019-01-28 /pmc/articles/PMC6436731/ /pubmed/30931400 http://dx.doi.org/10.1042/ETLS20180100 Text en © 2019 The Author(s) https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Thompson, Rachel
Bonne, Gisèle
Missier, Paolo
Lochmüller, Hanns
Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title_full Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title_fullStr Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title_full_unstemmed Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title_short Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
title_sort targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436731/
https://www.ncbi.nlm.nih.gov/pubmed/30931400
http://dx.doi.org/10.1042/ETLS20180100
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