Literature DB >> 21849979

Imaging drugs with and without clinical analgesic efficacy.

Jaymin Upadhyay1, Julie Anderson, Adam J Schwarz, Alexandre Coimbra, Richard Baumgartner, G Pendse, Edward George, Lauren Nutile, Diana Wallin, James Bishop, Saujanya Neni, Gary Maier, Smriti Iyengar, Jeffery L Evelhoch, David Bleakman, Richard Hargreaves, Lino Becerra, David Borsook.   

Abstract

The behavioral response to pain is driven by sensory and affective components, each of which is mediated by the CNS. Subjective pain ratings are used as readouts when appraising potential analgesics; however, pain ratings alone cannot enable a characterization of CNS pain circuitry during pain processing or how this circuitry is modulated pharmacologically. Having a more objective readout of potential analgesic effects may allow improved understanding and detection of pharmacological efficacy for pain. The pharmacological/functional magnetic resonance imaging (phMRI/fMRI) methodology can be used to objectively evaluate drug action on the CNS. In this context, we aimed to evaluate two drugs that had been developed as analgesics: one that is efficacious for pain (buprenorphine (BUP)) and one that failed as an analgesic in clinical trials aprepitant (APREP). Using phMRI, we observed that activation induced solely by BUP was present in regions with μ-opioid receptors, whereas APREP-induced activation was seen in regions expressing NK(1) receptors. However, significant pharmacological modulation of functional connectivity in pain-processing pathways was only observed following BUP administration. By implementing an evoked pain fMRI paradigm, these drugs could also be differentiated by comparing the respective fMRI signals in CNS circuits mediating sensory and affective components of pain. We report a correlation of functional connectivity and evoked pain fMRI measures with pain ratings as well as peak drug concentration. This investigation demonstrates how CNS-acting drugs can be compared, and how the phMRI/fMRI methodology may be used with conventional measures to better evaluate candidate analgesics in small subject cohorts.

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Year:  2011        PMID: 21849979      PMCID: PMC3230490          DOI: 10.1038/npp.2011.156

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  74 in total

1.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

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2.  fMRI measurement of CNS responses to naloxone infusion and subsequent mild noxious thermal stimuli in healthy volunteers.

Authors:  M C Borras; L Becerra; A Ploghaus; J M Gostic; A DaSilva; R G Gonzalez; D Borsook
Journal:  J Neurophysiol       Date:  2004-06       Impact factor: 2.714

3.  Direct and indirect actions of morphine on medullary neurons that modulate nociception.

Authors:  M M Heinricher; M M Morgan; H L Fields
Journal:  Neuroscience       Date:  1992       Impact factor: 3.590

4.  Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference.

Authors:  Stephen M Smith; Thomas E Nichols
Journal:  Neuroimage       Date:  2008-04-11       Impact factor: 6.556

5.  Challenges in analgesic drug development.

Authors:  D J Hewitt; R J Hargreaves; S P Curtis; D Michelson
Journal:  Clin Pharmacol Ther       Date:  2009-08-12       Impact factor: 6.875

6.  Multiple nonprimary motor areas in the human cortex.

Authors:  G R Fink; R S Frackowiak; U Pietrzyk; R E Passingham
Journal:  J Neurophysiol       Date:  1997-04       Impact factor: 2.714

7.  Human pharmacology and abuse potential of the analgesic buprenorphine: a potential agent for treating narcotic addiction.

Authors:  D R Jasinski; J S Pevnick; J D Griffith
Journal:  Arch Gen Psychiatry       Date:  1978-04

8.  NK-1 receptors modulate the excitability of ON cells in the rostral ventromedial medulla.

Authors:  Dénes Budai; Sergey G Khasabov; Patrick W Mantyh; Donald A Simone
Journal:  J Neurophysiol       Date:  2006-12-20       Impact factor: 2.714

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

10.  Neurokinin-1 (NK-1) receptor and brain-derived neurotrophic factor (BDNF) gene expression is differentially modulated in the rat spinal dorsal horn and hippocampus during inflammatory pain.

Authors:  Vanja Duric; Kenneth E McCarson
Journal:  Mol Pain       Date:  2007-10-31       Impact factor: 3.395

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  28 in total

Review 1.  A critical evaluation of validity and utility of translational imaging in pain and analgesia: Utilizing functional imaging to enhance the process.

Authors:  Jaymin Upadhyay; Christian Geber; Richard Hargreaves; Frank Birklein; David Borsook
Journal:  Neurosci Biobehav Rev       Date:  2017-08-12       Impact factor: 8.989

Review 2.  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

Review 3.  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 4.  Lessons learned from using fMRI in the early clinical development of a mu-opioid receptor antagonist for disorders of compulsive consumption.

Authors:  Pradeep J Nathan; Geor Bakker
Journal:  Psychopharmacology (Berl)       Date:  2020-01-04       Impact factor: 4.530

Review 5.  Neuroimaging of the periaqueductal gray: state of the field.

Authors:  Clas Linnman; Eric A Moulton; Gabi Barmettler; Lino Becerra; David Borsook
Journal:  Neuroimage       Date:  2011-12-14       Impact factor: 6.556

Review 6.  Pharmacologic magnetic resonance imaging (phMRI): imaging drug action in the brain.

Authors:  Bruce G Jenkins
Journal:  Neuroimage       Date:  2012-04-01       Impact factor: 6.556

Review 7.  Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

Authors:  Stephen Bruehl; A Vania Apkarian; Jane C Ballantyne; Ann Berger; David Borsook; Wen G Chen; John T Farrar; Jennifer A Haythornthwaite; Susan D Horn; Michael J Iadarola; Charles E Inturrisi; Lixing Lao; Sean Mackey; Jianren Mao; Andrea Sawczuk; George R Uhl; James Witter; Clifford J Woolf; Jon-Kar Zubieta; Yu Lin
Journal:  J Pain       Date:  2013-02       Impact factor: 5.820

Review 8.  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

9.  Can neuroimaging help combat the opioid epidemic? A systematic review of clinical and pharmacological challenge fMRI studies with recommendations for future research.

Authors:  Hestia Moningka; Sarah Lichenstein; Patrick D Worhunsky; Elise E DeVito; Dustin Scheinost; Sarah W Yip
Journal:  Neuropsychopharmacology       Date:  2018-10-03       Impact factor: 7.853

10.  Identification of the cerebral effects of paracetamol in healthy subjects: an fMRI study.

Authors:  Olivier De Coster; Patrice Forget; Johan De Mey; Peter Van Schuerbeek; Jan Poelaert
Journal:  Br J Pain       Date:  2019-06-04
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