Repurposed drug prioritisation pipeline for a multi-arm platform trial in clinical Alzheimer's disease

Introduction: There is an urgent need to identify effective, safe, and affordable treatments for Alzheimer’s disease (AD). Funded by the UK National Institute of Health and Care Research (NIHR), we developed a systematic drug prioritisation pipeline to identify repurposed drug candidates for inclusion in a planned platform trial for clinical AD. Methods: The wider AD community was invited to propose compounds using a standardised proposal template. Fourteen proposals were presented to an international expert panel, who independently ranked compounds based on biological plausibility, preclinical efficacy, safety, and trial feasibility. Extended drug summaries were compiled for shortlisted compounds, supported by ReLiSyR, a machine learning–supported systematic review tool. Results: Following review in a second panel meeting, independent re-ranking identified the following compounds: atomoxetine (1st), metformin (2nd), isosorbide mononitrate and levetiracetam (joint 3rd). Discussion: This robust drug prioritisation pipeline will speed the identification and progression of promising candidates for therapeutic evaluation.

Authors

Publication Details

Journal
Apollo (University of Cambridge)
Published
2026-04-24
DOI
https://doi.org/10.17863/cam.129524
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Repurposed drug prioritisation pipeline for a multi-arm platform trial in clinical Alzheimer's disease

Gordon Wilcock, Benjamin R. Underwood, Leah Mursaleen, Suzanne Reeves et al.
Apollo (University of Cambridge)
Computational Drug Discovery Methods
article

Repurposed drug prioritisation pipeline for a multi-arm platform trial in clinical Alzheimer's disease

Gordon Wilcock, Benjamin R. Underwood, Leah Mursaleen, Suzanne Reeves, Sabahat Iqbal, Ross Dunne, Thomas D. Parker, Fiona Ducotterd, Laura Rizzo, Malcolm Macleod, CS Wong, Eric Karran, Alastair Reith, Paresh Malhotra, Rik Vandenberghe, Jeffrey Cummings, Catherine Mummery, Lon Schneider, James Carpenter, Vanessa Raymont, Cristina Bonet Olivares, Zunera Khan, John O'Brien
article en

Abstract

Introduction: There is an urgent need to identify effective, safe, and affordable treatments for Alzheimer’s disease (AD). Funded by the UK National Institute of Health and Care Research (NIHR), we developed a systematic drug prioritisation pipeline to identify repurposed drug candidates for inclusion in a planned platform trial for clinical AD. Methods: The wider AD community was invited to propose compounds using a standardised proposal template. Fourteen proposals were presented to an international expert panel, who independently ranked compounds based on biological plausibility, preclinical efficacy, safety, and trial feasibility. Extended drug summaries were compiled for shortlisted compounds, supported by ReLiSyR, a machine learning–supported systematic review tool. Results: Following review in a second panel meeting, independent re-ranking identified the following compounds: atomoxetine (1st), metformin (2nd), isosorbide mononitrate and levetiracetam (joint 3rd). Discussion: This robust drug prioritisation pipeline will speed the identification and progression of promising candidates for therapeutic evaluation.

Apollo (University of Cambridge)
Openalex Percentile: Top 10%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.