Content area

Abstract

Background

Agitation is a challenging neuropsychiatric symptom (NPS) of Alzheimer's disease (AD). A crossover trial found that nabilone significantly improved agitation in AD patients over 6 weeks compared to placebo. Here, we aim to identify a combination of biomarkers that could be used to predict treatment response to nabilone for AD‐associated agitation.

Methods

Agitation was assessed using the Cohen‐Mansfield Agitation Inventory (CMAI). Serum concentrations of 13 markers were measured. Linear regression was used to estimate change in CMAI due to nabilone for the high and low groups of each biomarker. Biomarkers with a difference ≥8.5 points between groups were included in subsequent multivariate models. Index scores representing the difference between expected CMAI change given nabilone and placebo were calculated and divided into quartiles. Mean difference in CMAI change and 95% confidence intervals were estimated via bootstrapping.

Results

Four of the 13 biomarkers which met criteria specified above were included in multivariate modeling (n = 67). Nabilone was more efficacious in participants with higher IL‐6 (estimated change in CMAI ‐15.4, standard error (SE) 5.6), higher ISO‐8 (‐14.4, SE=5.0), higher 24S‐OHC (‐14.2, SE=4.1), and lower clusterin (‐14.6, SE=4.4). Participants in Q1 of index scores demonstrated better response to nabilone with a mean difference in CMAI change of ‐20.9 (95% CI: ‐31.8, ‐9.2), while those in Q2‐4 showed no difference between treatments.

Conclusions

Participants with higher levels of inflammation, oxidative stress, and cholesterol metabolite were more likely to benefit from nabilone for agitation in AD. A combination of biomarkers could help in distinguishing responders and non‐responders to nabilone.

Details

1009240
Title
Identifying a combination of biomarkers to predict treatment response to nabilone for the treatment of agitation in Alzheimer's disease – a secondary analysis
Author
Wang, Hui Jue (Janet) 1 ; Ruthirakuhan, Myuri 2 ; Herrmann, Nathan 3 ; Andreazza, Ana C. 4 ; Gallagher, Damien 5 ; Verhoeff, Nicolaas Paul L.G. 6 ; Kiss, Alex 2 ; Black, Sandra E. 3 ; Feldman, Oriel J 1 ; Lanctôt, Krista L 3 

 Sunnybrook Research Institute, Toronto, ON, Canada,, University of Toronto, Toronto, ON, Canada, 
 Sunnybrook Research Institute, Toronto, ON, Canada, 
 Sunnybrook Research Institute, Toronto, ON, Canada,, University of Toronto, Toronto, ON, Canada,, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 
 University of Toronto, Toronto, ON, Canada,, Center for Addiction and Mental Health, Toronto, ON, Canada, 
 Sunnybrook Research Institute, Toronto, ON, Canada,, Sunnybrook Health Sciences Centre, Toronto, ON, Canada,, Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada, 
 Baycrest Hospital, Toronto, ON, Canada, 
Publication title
Volume
21
Supplement
S3
Number of pages
2
Publication year
2025
Publication date
Dec 1, 2025
Section
CLINICAL MANIFESTATIONS
Publisher
John Wiley & Sons, Inc.
Place of publication
Chicago
Country of publication
United States
ISSN
1552-5260
e-ISSN
1552-5279
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-12-25
Milestone dates
2025-12-25 (publishedOnlineFinalForm)
Publication history
 
 
   First posting date
25 Dec 2025
ProQuest document ID
3286852212
Document URL
https://www.proquest.com/scholarly-journals/identifying-combination-biomarkers-predict/docview/3286852212/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-02
Database
ProQuest One Academic