Literature DB >> 17352939

Change in MRI striatal volumes as a biomarker in preclinical Huntington's disease.

Elizabeth H Aylward1.   

Abstract

This article discusses the need for biomarkers and surrogate endpoints for future clinical trials in individuals at risk for Huntington's disease. Definitions and criteria are presented for biomarkers and surrogate endpoints, and data are presented suggesting that striatal volumes, as measured on MRI scans, meet the criteria for a biomarker. Biomarkers can be used in lieu of clinical endpoints in treatment trials if there is evidence that treatment affects the biomarker in a way that is predictive of endpoint status. Because there are currently no effective treatments for Huntington's disease, it is not yet possible to validate whether change in MRI striatal volumes can serve as an effective surrogate endpoint. It is recommended that future clinical trials be designed using MRI striatal volumes to "screen" potential treatments. Those treatments that reduce the rate of striatal atrophy can then be tested with delay of symptom onset as the clinical endpoint. This strategy is essential if efficient and cost-effective clinical trials are to be conducted in the preclinical stage of Huntington's disease.

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Year:  2006        PMID: 17352939     DOI: 10.1016/j.brainresbull.2006.10.028

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  55 in total

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Authors:  D S Adnan Majid; Adam R Aron; Wesley Thompson; Sarah Sheldon; Samar Hamza; Diederick Stoffers; Dominic Holland; Jody Goldstein; Jody Corey-Bloom; Anders M Dale
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2.  Evidence for behavioral benefits of early dietary supplementation with CoEnzymeQ10 in a slowly progressing mouse model of Huntington's disease.

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Journal:  Mol Cell Neurosci       Date:  2011-10-20       Impact factor: 4.314

3.  Brain metabolite alterations and cognitive dysfunction in early Huntington's disease.

Authors:  Paul G Unschuld; Richard A E Edden; Aaron Carass; Xinyang Liu; Megan Shanahan; Xin Wang; Kenichi Oishi; Jason Brandt; Susan S Bassett; Graham W Redgrave; Russell L Margolis; Peter C M van Zijl; Peter B Barker; Christopher A Ross
Journal:  Mov Disord       Date:  2012-05-30       Impact factor: 10.338

Review 4.  Brain networks in Huntington disease.

Authors:  David Eidelberg; D James Surmeier
Journal:  J Clin Invest       Date:  2011-02-01       Impact factor: 14.808

5.  Magnetic resonance perfusion imaging of resting-state cerebral blood flow in preclinical Huntington's disease.

Authors:  Robert C Wolf; Georg Grön; Fabio Sambataro; Nenad Vasic; Nadine D Wolf; Philipp A Thomann; Carsten Saft; G Bernhard Landwehrmeyer; Michael Orth
Journal:  J Cereb Blood Flow Metab       Date:  2011-05-11       Impact factor: 6.200

Review 6.  Neuroimaging of rapidly progressive dementias, part 1: neurodegenerative etiologies.

Authors:  A J Degnan; L M Levy
Journal:  AJNR Am J Neuroradiol       Date:  2013-02-22       Impact factor: 3.825

7.  Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data.

Authors:  Eun Young Kim; Vincent A Magnotta; Dawei Liu; Hans J Johnson
Journal:  Magn Reson Imaging       Date:  2014-05-09       Impact factor: 2.546

8.  Progressive synaptic pathology of motor cortical neurons in a BAC transgenic mouse model of Huntington's disease.

Authors:  J Spampanato; X Gu; X W Yang; I Mody
Journal:  Neuroscience       Date:  2008-09-18       Impact factor: 3.590

9.  Monitoring Huntington's disease progression through preclinical and early stages.

Authors:  Chris Tang; Andrew Feigin
Journal:  Neurodegener Dis Manag       Date:  2012-08-01

10.  The relationship between impairment of voluntary movements and cognitive impairment in Huntington's disease.

Authors:  Jirí Klempír; Olga Klempírová; Jan Stochl; Natasa Spacková; Jan Roth
Journal:  J Neurol       Date:  2009-05-16       Impact factor: 4.849

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