Literature DB >> 20447734

Integrating ADNI results into Alzheimer's disease drug development programs.

Jeffrey L Cummings1.   

Abstract

The Alzheimer's Disease Neuroimaging Initiative (ADNI) is providing critical new information on biomarkers in cognitively normal elderly, persons with mild cognitive impairment (MCI), and patients with mild Alzheimer's disease (AD). The data provide insights into the progression of the pathology of AD over time, assist in understanding which biomarkers might be most useful in clinical trials, and facilitate development of disease-modifying treatments. ADNI results are intended to support new AD treatment development; this report considers how ADNI information can be integrated in AD drug development programs. Cerebrospinal fluid (CSF) amyloid beta protein (Abeta) measures can be used in Phase I studies to detect any short term effects on Abeta levels in the CSF. Phase II studies may benefit most from biomarker measures that can inform decisions about Phase III. CSF Abeta levels, CSF total tau and phospho-tau measures, fluorodeoxyglucose positron emission tomography (FDG PET), Pittsburgh Compound B (PIB) amyloid imaging, or magnetic resonance imaging (MRI) may be employed to select patients in enriched trials or as outcomes for specific disease-modifying interventions. Use of biomarkers may allow Phase II trials to be conducted more efficiently with smaller populations of patients or shorted treatment times. New drug applications (NDAs) may include biomarker outcomes of phase III trials. ADNI patients are highly educated and are nearly all of Caucasian ethnicity limiting the generalizability of the results to other populations commonly included in global clinical trials. ADNI has inspired or collaborates with biomarker investigations worldwide and together these studies will provide biomarker information that can reduce development times and costs, improve drug safety, optimize drug efficacy, and bring new treatments to patients with or at risk for AD. 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20447734      PMCID: PMC2902618          DOI: 10.1016/j.neurobiolaging.2010.03.016

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  61 in total

1.  Biomarker qualification pilot process at the US Food and Drug Administration.

Authors:  Federico Goodsaid; Felix Frueh
Journal:  AAPS J       Date:  2007-03-23       Impact factor: 4.009

2.  Safety, tolerability, and effects on plasma and cerebrospinal fluid amyloid-beta after inhibition of gamma-secretase.

Authors:  Eric R Siemers; Robert A Dean; Stuart Friedrich; Lisa Ferguson-Sells; Celedon Gonzales; Martin R Farlow; Patrick C May
Journal:  Clin Neuropharmacol       Date:  2007 Nov-Dec       Impact factor: 1.592

3.  Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI.

Authors:  Susan M Landau; Danielle Harvey; Cindee M Madison; Robert A Koeppe; Eric M Reiman; Norman L Foster; Michael W Weiner; William J Jagust
Journal:  Neurobiol Aging       Date:  2009-08-05       Impact factor: 4.673

4.  Oral administration of a potent and selective non-peptidic BACE-1 inhibitor decreases beta-cleavage of amyloid precursor protein and amyloid-beta production in vivo.

Authors:  Ishrut Hussain; Julie Hawkins; David Harrison; Christopher Hille; Gareth Wayne; Leanne Cutler; Tania Buck; Daryl Walter; Emmanuel Demont; Colin Howes; Alan Naylor; Philip Jeffrey; Maria I Gonzalez; Colin Dingwall; Anton Michel; Sally Redshaw; John B Davis
Journal:  J Neurochem       Date:  2007-02       Impact factor: 5.372

5.  Preclinical properties of 18F-AV-45: a PET agent for Abeta plaques in the brain.

Authors:  Seok Rye Choi; Geoff Golding; Zhiping Zhuang; Wei Zhang; Nathaniel Lim; Franz Hefti; Tyler E Benedum; Michael R Kilbourn; Daniel Skovronsky; Hank F Kung
Journal:  J Nucl Med       Date:  2009-10-16       Impact factor: 10.057

6.  Estimation of plasma IC50 of donepezil for cerebral acetylcholinesterase inhibition in patients with Alzheimer disease using positron emission tomography.

Authors:  Tsuneyoshi Ota; Hitoshi Shinotoh; Kiyoshi Fukushi; Tatsuya Kikuchi; Koichi Sato; Noriko Tanaka; Hitoshi Shimada; Shigeki Hirano; Michie Miyoshi; Heii Arai; Tetsuya Suhara; Toshiaki Irie
Journal:  Clin Neuropharmacol       Date:  2010 Mar-Apr       Impact factor: 1.592

7.  Longitudinal, quantitative assessment of amyloid, neuroinflammation, and anti-amyloid treatment in a living mouse model of Alzheimer's disease enabled by positron emission tomography.

Authors:  Jun Maeda; Bin Ji; Toshiaki Irie; Takami Tomiyama; Masahiro Maruyama; Takashi Okauchi; Matthias Staufenbiel; Nobuhisa Iwata; Maiko Ono; Takaomi C Saido; Kazutoshi Suzuki; Hiroshi Mori; Makoto Higuchi; Tetsuya Suhara
Journal:  J Neurosci       Date:  2007-10-10       Impact factor: 6.167

8.  Safety, tolerability, pharmacokinetics, and Abeta levels after short-term administration of R-flurbiprofen in healthy elderly individuals.

Authors:  Douglas R Galasko; Neil Graff-Radford; Susanne May; Suzanne Hendrix; Barbara A Cottrell; Sarah A Sagi; Gary Mather; Mark Laughlin; Kenton H Zavitz; Edward Swabb; Todd E Golde; Michael P Murphy; Edward H Koo
Journal:  Alzheimer Dis Assoc Disord       Date:  2007 Oct-Dec       Impact factor: 2.703

Review 9.  Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria.

Authors:  Bruno Dubois; Howard H Feldman; Claudia Jacova; Steven T Dekosky; Pascale Barberger-Gateau; Jeffrey Cummings; André Delacourte; Douglas Galasko; Serge Gauthier; Gregory Jicha; Kenichi Meguro; John O'brien; Florence Pasquier; Philippe Robert; Martin Rossor; Steven Salloway; Yaakov Stern; Pieter J Visser; Philip Scheltens
Journal:  Lancet Neurol       Date:  2007-08       Impact factor: 44.182

Review 10.  Disease-modifying therapies for Alzheimer disease: challenges to early intervention.

Authors:  Jeffrey L Cummings; Rachelle Doody; Christopher Clark
Journal:  Neurology       Date:  2007-10-16       Impact factor: 9.910

View more
  20 in total

Review 1.  Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia.

Authors:  William E Klunk
Journal:  Neurobiol Aging       Date:  2011-12       Impact factor: 4.673

Review 2.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2011-11-02       Impact factor: 21.566

3.  Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI.

Authors:  Dominic Holland; Linda K McEvoy; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2011-08-09       Impact factor: 5.038

4.  Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.

Authors:  Boris A Gutman; Xue Hua; Priya Rajagopalan; Yi-Yu Chou; Yalin Wang; Igor Yanovsky; Arthur W Toga; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2013-01-04       Impact factor: 6.556

5.  Empowering imaging biomarkers of Alzheimer's disease.

Authors:  Boris A Gutman; Yalin Wang; Igor Yanovsky; Xue Hua; Arthur W Toga; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Neurobiol Aging       Date:  2014-08-27       Impact factor: 4.673

6.  Low plasma leptin in cognitively impaired ADNI subjects: gender differences and diagnostic and therapeutic potential.

Authors:  Jane M Johnston; William T Hu; David W Fardo; Steven J Greco; George Perry; Thomas J Montine; John Q Trojanowski; Leslie M Shaw; J Wesson Ashford; Nikolaos Tezapsidis
Journal:  Curr Alzheimer Res       Date:  2014-02       Impact factor: 3.498

7.  Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates.

Authors:  Wesley K Thompson; Dominic Holland
Journal:  Neuroimage       Date:  2011-02-22       Impact factor: 6.556

Review 8.  2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Jesse Cedarbaum; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Johan Luthman; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie Shaw; Li Shen; Adam Schwarz; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2015-06       Impact factor: 21.566

Review 9.  Apolipoprotein E, gender, and Alzheimer's disease: an overlooked, but potent and promising interaction.

Authors:  Leo Ungar; Andre Altmann; Michael D Greicius
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

10.  Unbiased tensor-based morphometry: improved robustness and sample size estimates for Alzheimer's disease clinical trials.

Authors:  Xue Hua; Derrek P Hibar; Christopher R K Ching; Christina P Boyle; Priya Rajagopalan; Boris A Gutman; Alex D Leow; Arthur W Toga; Clifford R Jack; Danielle Harvey; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2012-11-12       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.