eprintid: 10133753
rev_number: 16
eprint_status: archive
userid: 608
dir: disk0/10/13/37/53
datestamp: 2021-09-02 10:44:21
lastmod: 2021-10-06 22:38:27
status_changed: 2021-09-02 10:44:21
type: article
metadata_visibility: show
creators_name: Wijeratne, PA
creators_name: Johnson, EB
creators_name: Gregory, S
creators_name: Georgiou-Karistianis, N
creators_name: Paulsen, JS
creators_name: Scahill, RI
creators_name: Tabrizi, SJ
creators_name: Alexander, DC
title: A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
divisions: D07
divisions: F86
divisions: B04
divisions: C05
divisions: F48
keywords: huntington’s disease, biomarkers, disease progression model, multi-study investigation, clinical staging
note: Copyright © 2021 Wijeratne, Johnson, Gregory, Georgiou-Karistianis, Paulsen, Scahill, Tabrizi and Alexander. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
abstract: Understanding the order and progression of change in biomarkers of neurodegeneration is essential to detect the effects of pharmacological interventions on these biomarkers. In Huntington’s disease (HD), motor, cognitive and MRI biomarkers are currently used in clinical trials of drug efficacy. Here for the first time we use directly compare data from three large observational studies of HD (total N = 532) using a probabilistic event-based model (EBM) to characterise the order in which motor, cognitive and MRI biomarkers become abnormal. We also investigate the impact of the genetic cause of HD, cytosine-adenine-guanine (CAG) repeat length, on progression through these stages. We find that EBM uncovers a broadly consistent order of events across all three studies; that EBM stage reflects clinical stage; and that EBM stage is related to age and genetic burden. Our findings indicate that measures of subcortical and white matter volume become abnormal prior to clinical and cognitive biomarkers. Importantly, CAG repeat length has a large impact on the timing of onset of each stage and progression through the stages, with a longer repeat length resulting in earlier onset and faster progression. Our results can be used to help design clinical trials of treatments for Huntington’s disease, influencing the choice of biomarkers and the recruitment of participants.
date: 2021-08-05
date_type: published
official_url: https://doi.org/10.3389/fdata.2021.662200
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1884085
doi: 10.3389/fdata.2021.662200
lyricists_name: Alexander, Daniel
lyricists_name: Scahill, Rachael
lyricists_name: Tabrizi, Sarah
lyricists_name: Wijeratne, Peter
lyricists_id: DALEX06
lyricists_id: RSCAH26
lyricists_id: SJTAB21
lyricists_id: PAWIJ75
actors_name: Barczynska, Patrycja
actors_id: PBARC91
actors_role: owner
full_text_status: public
publication: Frontiers in Big Data
volume: 4
article_number: 662200
citation:        Wijeratne, PA;    Johnson, EB;    Gregory, S;    Georgiou-Karistianis, N;    Paulsen, JS;    Scahill, RI;    Tabrizi, SJ;           Wijeratne, PA;  Johnson, EB;  Gregory, S;  Georgiou-Karistianis, N;  Paulsen, JS;  Scahill, RI;  Tabrizi, SJ;  Alexander, DC;   - view fewer <#>    (2021)    A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease.                   Frontiers in Big Data , 4     , Article 662200.  10.3389/fdata.2021.662200 <https://doi.org/10.3389/fdata.2021.662200>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10133753/1/fdata-04-662200.pdf