Predicting clinical outcomes from off-target receptor interactions using Secondary Intelligence™

Adverse effects due to off-target activity can be predicted by careful comparison of the relationship between expected plasma concentration and off-target activity of the test compound with that of reference drugs targeting that receptor for their therapeutic efficacy. The ratio between plasma concentration (unbound) and the K<sub>i</sub> at the receptor is a surrogate measure reflecting receptor occupancy. Where data are available for reference drugs, we have curated and evaluated this at 100 receptors, 72 of which can involve both negative and positive modulations by drugs: a total of 172 'receptor modulations'. This provides a quantitative framework upon which to achieve consistent risk assessment of off-target interactions across receptors, across compounds and between assessors. It therefore represents a significant departure from an opinion-based to an evidence-based approach to secondary pharmacology. Demonstration of proof-of-principle was achieved for one of the receptor interactions (α<sub>1A</sub>-adrenoceptor antagonism leading to postural hypotension in clinical use) due to the availability of high-quality off-target K<sub>i</sub> data for >30 drugs at this receptor.

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Publication Details

Journal
Journal of Pharmacological and Toxicological Methods
Published
2024-11-20
DOI
https://doi.org/10.1016/j.vascn.2024.107570
Citations
1
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
0.23
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article

Predicting clinical outcomes from off-target receptor interactions using Secondary Intelligence™

M. Abbasi, Hugo M. Vargas, Lyn Rosenbrier Ribeiro, Thomas Ellinger et al.
1 citations
Journal of Pharmacological and Toxicological Methods
Receptor Mechanisms and Signaling
0.23
article

Predicting clinical outcomes from off-target receptor interactions using Secondary Intelligence™

M. Abbasi, Hugo M. Vargas, Lyn Rosenbrier Ribeiro, Thomas Ellinger, Barira Islam, Jubayer Al Mahmud, William S. Redfern, Kyu-Min Park, Hiba Khalidi, Sophie Andrews, Mark Holbrook, Jay Starkey, Ali Can Savas, Caroline Lambert, Scott E. Bryan, Alyson Haslam, Zofia F. Bielecka, Hoon Gil Jo, C.E. Pollard, R Aspbury, Clare Gilmer
article en
1 citations

Abstract

Adverse effects due to off-target activity can be predicted by careful comparison of the relationship between expected plasma concentration and off-target activity of the test compound with that of reference drugs targeting that receptor for their therapeutic efficacy. The ratio between plasma concentration (unbound) and the K<sub>i</sub> at the receptor is a surrogate measure reflecting receptor occupancy. Where data are available for reference drugs, we have curated and evaluated this at 100 receptors, 72 of which can involve both negative and positive modulations by drugs: a total of 172 'receptor modulations'. This provides a quantitative framework upon which to achieve consistent risk assessment of off-target interactions across receptors, across compounds and between assessors. It therefore represents a significant departure from an opinion-based to an evidence-based approach to secondary pharmacology. Demonstration of proof-of-principle was achieved for one of the receptor interactions (α<sub>1A</sub>-adrenoceptor antagonism leading to postural hypotension in clinical use) due to the availability of high-quality off-target K<sub>i</sub> data for >30 drugs at this receptor.

Journal of Pharmacological and Toxicological MethodsVol. 131
Jagiellonian University (PL), Amgen (United States) (US), King's College London (GB), Berkshire College of Agriculture (GB), Cheshire West and Chester (GB), Certara (United States) (US)
Openalex Percentile: Top 41%
Receptor Mechanisms and Signaling
0.23
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