Abstract
In spite of major efforts and investment in development of psychiatric drugs, many clinical trials have failed in recent decades, and clinicians still prescribe drugs that were discovered many years ago. Although multiple reasons have been discussed for the drug development deadlock, we focus here on one of the major possible biological reasons: differences between the characteristics of drug targets in preclinical models and the corresponding targets in patients. Importantly, based on technological advances in single-cell analysis, we propose here a framework for the use of available and newly emerging knowledge from single-cell and spatial omics studies to evaluate and potentially improve the translational predictivity of preclinical models before commencing preclinical and, in particular, clinical studies. We believe that these recommendations will improve preclinical models and the ability to assess drugs in clinical trials, reducing failure rates in expensive late-stage trials and ultimately benefitting psychiatric drug discovery and development.
Originalsprog | Engelsk |
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Tidsskrift | Nature Reviews Drug Discovery |
Vol/bind | 23 |
Sider (fra-til) | 218-231 |
ISSN | 1474-1776 |
DOI | |
Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:Work in the Khodosevich lab is supported by Novo Nordisk Foundation Hallas-Møller Investigator grants (NNF16OC0019920 and NNF21OC0067146) and Lundbeck Foundation Ascending Investigator grant (2020-1025). Work in the Howes lab is funded by Medical Research Council UK (no. MC_A656_5QD30_2135), Maudsley Charity (no. 666) and Wellcome Trust (no. 094849/Z/10/Z). The authors thank S. Hopkins (Sunovion Pharmaceuticals) for comments on the initial version of the manuscript. We are grateful to O. Kharchenko for their work on figure illustrations.
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