Literature DB >> 21765857

Can Functional Magnetic Resonance Imaging Improve Success Rates in CNS Drug Discovery?

David Borsook1, Richard Hargreaves, Lino Becerra.   

Abstract

INTRODUCTION: The bar for developing new treatments for CNS disease is getting progressively higher and fewer novel mechanisms are being discovered, validated and developed. The high costs of drug discovery necessitate early decisions to ensure the best molecules and hypotheses are tested in expensive late stage clinical trials. The discovery of brain imaging biomarkers that can bridge preclinical to clinical CNS drug discovery and provide a 'language of translation' affords the opportunity to improve the objectivity of decision-making. AREAS COVERED: This review discusses the benefits, challenges and potential issues of using a science based biomarker strategy to change the paradigm of CNS drug development and increase success rates in the discovery of new medicines. The authors have summarized PubMed and Google Scholar based publication searches to identify recent advances in functional, structural and chemical brain imaging and have discussed how these techniques may be useful in defining CNS disease state and drug effects during drug development. EXPERT OPINION: The use of novel brain imaging biomarkers holds the bold promise of making neuroscience drug discovery smarter by increasing the objectivity of decision making thereby improving the probability of success of identifying useful drugs to treat CNS diseases. Functional imaging holds the promise to: (1) define pharmacodynamic markers as an index of target engagement (2) improve translational medicine paradigms to predict efficacy; (3) evaluate CNS efficacy and safety based on brain activation; (4) determine brain activity drug dose-response relationships and (5) provide an objective evaluation of symptom response and disease modification.

Entities:  

Year:  2011        PMID: 21765857      PMCID: PMC3134334          DOI: 10.1517/17460441.2011.584529

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  152 in total

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4.  Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2008-11-08       Impact factor: 6.556

Review 5.  U-shaped dose response in behavioral pharmacology: historical foundations.

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6.  Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease.

Authors:  D P Devanand; G Pradhaban; X Liu; A Khandji; S De Santi; S Segal; H Rusinek; G H Pelton; L S Honig; R Mayeux; Y Stern; M H Tabert; M J de Leon
Journal:  Neurology       Date:  2007-03-13       Impact factor: 9.910

Review 7.  Imaging in clinical trials.

Authors:  P Murphy; D-M Koh
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

8.  Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies.

Authors:  J P Hamilton; M Siemer; I H Gotlib
Journal:  Mol Psychiatry       Date:  2008-05-27       Impact factor: 15.992

9.  Effects of buprenorphine maintenance dose on mu-opioid receptor availability, plasma concentrations, and antagonist blockade in heroin-dependent volunteers.

Authors:  Mark K Greenwald; Chris-Ellyn Johanson; David E Moody; James H Woods; Michael R Kilbourn; Robert A Koeppe; Charles R Schuster; Jon-Kar Zubieta
Journal:  Neuropsychopharmacology       Date:  2003-11       Impact factor: 7.853

Review 10.  Risk in CNS drug discovery: focus on treatment of Alzheimer's disease.

Authors:  J Fred Pritchard
Journal:  BMC Neurosci       Date:  2008-12-10       Impact factor: 3.288

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  20 in total

1.  New era for novel CNS drug development.

Authors:  William Z Potter
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Journal:  Future Med Chem       Date:  2012-02       Impact factor: 3.808

Review 3.  Medications development for the treatment of alcohol use disorder: insights into the predictive value of animal and human laboratory models.

Authors:  Megan M Yardley; Lara A Ray
Journal:  Addict Biol       Date:  2016-02-01       Impact factor: 4.280

Review 4.  Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.

Authors:  Najmeh Khalili-Mahani; Serge A R B Rombouts; Matthias J P van Osch; Eugene P Duff; Felix Carbonell; Lisa D Nickerson; Lino Becerra; Albert Dahan; Alan C Evans; Jean-Paul Soucy; Richard Wise; Alex P Zijdenbos; Joop M van Gerven
Journal:  Hum Brain Mapp       Date:  2017-02-01       Impact factor: 5.038

5.  Spatial heterogeneity of the relation between resting-state connectivity and blood flow: an important consideration for pharmacological studies.

Authors:  Najmeh Khalili-Mahani; Matthias J van Osch; Mark de Rooij; Christian F Beckmann; Mark A van Buchem; Albert Dahan; Johannes M van Gerven; Serge A R B Rombouts
Journal:  Hum Brain Mapp       Date:  2012-12-26       Impact factor: 5.038

Review 6.  Surgically induced neuropathic pain: understanding the perioperative process.

Authors:  David Borsook; Barry D Kussman; Edward George; Lino R Becerra; Dennis W Burke
Journal:  Ann Surg       Date:  2013-03       Impact factor: 12.969

Review 7.  Lost but making progress--Where will new analgesic drugs come from?

Authors:  David Borsook; Richard Hargreaves; Chas Bountra; Frank Porreca
Journal:  Sci Transl Med       Date:  2014-08-13       Impact factor: 17.956

Review 8.  Migrainomics - identifying brain and genetic markers of migraine.

Authors:  Dale R Nyholt; David Borsook; Lyn R Griffiths
Journal:  Nat Rev Neurol       Date:  2017-11-17       Impact factor: 42.937

Review 9.  Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

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Journal:  J Pain       Date:  2013-02       Impact factor: 5.820

10.  Taking the headache out of migraine.

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