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  5. A novel variant in DYNC1H1 could contribute to human amyotrophic lateral sclerosis-frontotemporal dementia spectrum.

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Article
en
2021

A novel variant in DYNC1H1 could contribute to human amyotrophic lateral sclerosis-frontotemporal dementia spectrum.

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en
2021
DOI: 10.1101/mcs.a006096

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George Chrousos
George Chrousos

National And Kapodistrian University Of Athens

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Alexios‐Fotios A. Mentis
Dimitriοs Vlachakis
Eleni Papakonstantinou
+4 more

Abstract

Amyotrophic lateral sclerosis (ALS) belongs to the ALS-frontotemporal dementia (FTD) spectrum and is hallmarked by upper and lower motor neuron degeneration. Here, we present a patient with a cytoplasmic dynein 1 heavy chain 1 (DYNC1H1) pathogenic variant who fulfilled the ALS El Escorial criteria, and we review relevant literature. Using whole-exome sequencing, we identified a deleterious point variant in DYNC1H1 [c.4106A>G (p. Q1369R))] as a likely contributor to the ALS phenotype. In silico structural analysis, molecular dynamics simulation, and protein stability analysis predicted that this variant may increase DYNC1H1 protein stability. Moreover, this variant may disrupt binding of the transcription factor TFAP4, thus potentially acting as duon. Since a) DYNC1H1 forms part of a ubiquitous eukaryotic motor protein complex, and b) disruption of dynein function by perturbation of the dynein-dynactin protein complex is implicated in other motor neuron degenerative conditions, this variant could disrupt processes like retrograde axonal transport, neuronal migration, and protein recycling. Our findings expand the heterogenous spectrum of DYNC1H1 pathogenic variants−associated phenotype and prompt further investigations of the role of this gene in ALS.

How to cite this publication

Alexios‐Fotios A. Mentis, Dimitriοs Vlachakis, Eleni Papakonstantinou, Ioannis Zaganas, George P. Patrinos, George Chrousos, Efthimios Dardiotis (2021). A novel variant in DYNC1H1 could contribute to human amyotrophic lateral sclerosis-frontotemporal dementia spectrum.. , DOI: https://doi.org/10.1101/mcs.a006096.

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Publication Details

Type

Article

Year

2021

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/mcs.a006096

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