The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.

Weight-loss is an integral part of Huntington's disease (HD) that can start before the onset of motor symptoms. Investigating the underlying pathological processes may help in the understanding of this devastating disease as well as contribute to its management. However, the complex behavior an...

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Autores principales:	Wasiq Khan, Sundus Alusi, Hissam Tawfik, Abir Hussain
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/90310e65a60b48dab91df38e8e897c66
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spelling	oai:doaj.org-article:90310e65a60b48dab91df38e8e897c662021-12-02T20:09:45ZThe relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.1932-620310.1371/journal.pone.0253817https://doaj.org/article/90310e65a60b48dab91df38e8e897c662021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253817https://doaj.org/toc/1932-6203Weight-loss is an integral part of Huntington's disease (HD) that can start before the onset of motor symptoms. Investigating the underlying pathological processes may help in the understanding of this devastating disease as well as contribute to its management. However, the complex behavior and associations of multiple biological factors is impractical to be interpreted by the conventional statistics or human experts. For the first time, we combine a clinical dataset, expert knowledge and machine intelligence to model the multi-dimensional associations between the potentially relevant factors and weight-loss activity in HD, specifically at the premanifest stage. The HD dataset is standardized and transformed into required knowledge base with the help of clinical HD experts, which is then processed by the class rule mining and self-organising maps to identify the significant associations. Statistical results and experts' report indicate a strong association between severe weight-loss in HD at the premanifest stage and measures of certain cognitive, psychiatric functional ability factors. These results suggest that the mechanism underlying weight-loss in HD is, at least partly related to dysfunction of certain areas of the brain, a finding that may have not been apparent otherwise. These associations will aid the understanding of the pathophysiology of the disease and its progression and may in turn help in HD treatment trials.Wasiq KhanSundus AlusiHissam TawfikAbir HussainPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0253817 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Wasiq Khan Sundus Alusi Hissam Tawfik Abir Hussain The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
description	Weight-loss is an integral part of Huntington's disease (HD) that can start before the onset of motor symptoms. Investigating the underlying pathological processes may help in the understanding of this devastating disease as well as contribute to its management. However, the complex behavior and associations of multiple biological factors is impractical to be interpreted by the conventional statistics or human experts. For the first time, we combine a clinical dataset, expert knowledge and machine intelligence to model the multi-dimensional associations between the potentially relevant factors and weight-loss activity in HD, specifically at the premanifest stage. The HD dataset is standardized and transformed into required knowledge base with the help of clinical HD experts, which is then processed by the class rule mining and self-organising maps to identify the significant associations. Statistical results and experts' report indicate a strong association between severe weight-loss in HD at the premanifest stage and measures of certain cognitive, psychiatric functional ability factors. These results suggest that the mechanism underlying weight-loss in HD is, at least partly related to dysfunction of certain areas of the brain, a finding that may have not been apparent otherwise. These associations will aid the understanding of the pathophysiology of the disease and its progression and may in turn help in HD treatment trials.
format	article
author	Wasiq Khan Sundus Alusi Hissam Tawfik Abir Hussain
author_facet	Wasiq Khan Sundus Alusi Hissam Tawfik Abir Hussain
author_sort	Wasiq Khan
title	The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
title_short	The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
title_full	The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
title_fullStr	The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
title_full_unstemmed	The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.
title_sort	relationship between non-motor features and weight-loss in the premanifest stage of huntington's disease.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/90310e65a60b48dab91df38e8e897c66
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The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease.

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