Khan, W, Alusi, S, Tawfik, H and Hussain, A (2021) The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease. PLoS One, 16 (7). ISSN 1932-6203

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Abstract

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.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software R Medicine > R Medicine (General) R Medicine > RM Therapeutics. Pharmacology
Divisions:	Computer Science & Mathematics
Publisher:	Public Library of Science
Related URLs:	Author
Date Deposited:	19 Aug 2021 10:52
Last Modified:	04 Sep 2021 05:07
DOI or ID number:	10.1371/journal.pone.0253817
URI:	https://researchonline.ljmu.ac.uk/id/eprint/15390

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