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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Clinical Manifestations
Hui Jue Janet Wang1,2, Myuri Ruthirakuhan1, Nathan Herrmann1,2,3
1Sunnybrook Research Institute, Toronto, ON, Canada.
Nabilone effectively treats agitation in Alzheimer's disease (AD). Higher levels of inflammation, oxidative stress, and cholesterol metabolites predict a better response to nabilone for AD agitation.
Area of Science:
- Neuroscience
- Pharmacology
- Biomarker Discovery
Background:
- Agitation is a common and challenging neuropsychiatric symptom in Alzheimer's disease (AD).
- Previous research indicated nabilone's efficacy in improving agitation in AD patients over six weeks.
- Identifying predictive biomarkers for nabilone response is crucial for personalized treatment.
Purpose of the Study:
- To identify a combination of serum biomarkers that can predict treatment response to nabilone for agitation in Alzheimer's disease.
- To explore the relationship between specific biological markers and the efficacy of nabilone.
Main Methods:
- Agitation was measured using the Cohen-Mansfield Agitation Inventory (CMAI).
- Serum concentrations of 13 potential biomarkers were analyzed using linear regression.
- Multivariate models and bootstrapping were employed to identify significant predictors and estimate treatment effects.
Main Results:
- Four biomarkers (IL-6, ISO-8, 24S-OHC, clusterin) were associated with nabilone's efficacy.
- Higher levels of IL-6, ISO-8, and 24S-OHC, and lower clusterin predicted a greater reduction in agitation.
- Participants in the top quartile of predictive index scores showed significantly improved agitation with nabilone.
Conclusions:
- Elevated inflammation, oxidative stress, and specific cholesterol metabolites are linked to better nabilone response in AD agitation.
- A panel of biomarkers can potentially differentiate between responders and non-responders to nabilone treatment.
- This finding supports the development of a biomarker-guided approach for managing agitation in Alzheimer's disease.
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