Literature DB >> 31900526

Lessons learned from using fMRI in the early clinical development of a mu-opioid receptor antagonist for disorders of compulsive consumption.

Pradeep J Nathan1,2,3, Geor Bakker4,5,6.   

Abstract

Functional magnetic resonance imaging (fMRI) has been widely used to gain a greater understanding of brain circuitry abnormalities in CNS disorders. fMRI has also been used to examine pharmacological modulation of brain circuity and is increasingly being used in early clinical drug development as functional pharmacodynamic index of target engagement, and to provide early indication of clinical efficacy. In this short review, we summarize data from experimental medicine and early clinical development studies of a mu-opioid receptor antagonist, GSK1521498 developed for disorders of compulsive consumption including binge eating in obesity. We demonstrate how fMRI can be used to answer important questions of early clinical drug development relating to; (1) target engagement, (2) dose response relationships, (3) differential efficacy and (4) prediction of behavioural and clinically relevant outcomes. We also highlight important methodological factors that need to be considered when conducting fMRI studies in drug development given the challenges faced with small sample sizes in Phase 1 and early proof of mechanism studies. While these data highlight the value of fMRI as a biomarker in drug development, its use for making Go/No-go decisions is still faced with challenges given the variability of responses, interpretation of brain activation changes and the limited data linking drug induced changes in brain activity to clinical or behavioural outcome. These challenges need to be addressed to fulfil the promise of fMRI as a tool in clinical drug development.

Entities:  

Keywords:  Biomarker; Drug development; Efficacy; Functional magnetic resonance imaging; Target engagement; fMRI

Mesh:

Substances:

Year:  2020        PMID: 31900526     DOI: 10.1007/s00213-019-05427-5

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  46 in total

1.  Test-retest reliability in fMRI of language: group and task effects.

Authors:  E Elinor Chen; Steven L Small
Journal:  Brain Lang       Date:  2006-06-05       Impact factor: 2.381

Review 2.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

Review 3.  Small Molecule PET Tracers in Drug Discovery.

Authors:  David J Donnelly
Journal:  Semin Nucl Med       Date:  2017-09       Impact factor: 4.446

Review 4.  Ultra-High-Field MR Neuroimaging.

Authors:  P Balchandani; T P Naidich
Journal:  AJNR Am J Neuroradiol       Date:  2014-12-18       Impact factor: 3.825

Review 5.  A role for fMRI in optimizing CNS drug development.

Authors:  David Borsook; Lino Becerra; Richard Hargreaves
Journal:  Nat Rev Drug Discov       Date:  2006-05       Impact factor: 84.694

6.  Psychophysiological responses to pain identify reproducible human clusters.

Authors:  Adam D Farmer; Steven J Coen; Michiko Kano; Peter A Paine; Mustafa Shwahdi; Jafar Jafari; Jessin Kishor; Sian F Worthen; Holly E Rossiter; Veena Kumari; Steven C R Williams; Michael Brammer; Vincent P Giampietro; Joanne Droney; Julia Riley; Paul L Furlong; Charles H Knowles; Stafford L Lightman; Qasim Aziz
Journal:  Pain       Date:  2013-05-25       Impact factor: 6.961

Review 7.  The role of fMRI in drug development.

Authors:  Owen Carmichael; Adam J Schwarz; Christopher H Chatham; David Scott; Jessica A Turner; Jaymin Upadhyay; Alexandre Coimbra; James A Goodman; Richard Baumgartner; Brett A English; John W Apolzan; Preetham Shankapal; Keely R Hawkins
Journal:  Drug Discov Today       Date:  2017-11-15       Impact factor: 7.851

8.  Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

Authors:  Daniel S Barron; Mehraveh Salehi; Michael Browning; Catherine J Harmer; R Todd Constable; Eugene Duff
Journal:  Neuroimage Clin       Date:  2018-08-11       Impact factor: 4.881

9.  Arterial Spin Labeling (ASL) fMRI: advantages, theoretical constrains, and experimental challenges in neurosciences.

Authors:  Ajna Borogovac; Iris Asllani
Journal:  Int J Biomed Imaging       Date:  2012-02-22

10.  Neural and behavioral effects of a novel mu opioid receptor antagonist in binge-eating obese people.

Authors:  Victoria C Cambridge; Hisham Ziauddeen; Pradeep J Nathan; Naresh Subramaniam; Chris Dodds; Samuel R Chamberlain; Annelize Koch; Kay Maltby; Andrew L Skeggs; Antonella Napolitano; I Sadaf Farooqi; Edward T Bullmore; Paul C Fletcher
Journal:  Biol Psychiatry       Date:  2012-12-14       Impact factor: 13.382

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