- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02835716
Pre-Clinical (Alzheimers) Diagnosis PCD = Optimum Outcomes OO (PCD=OOALZ)
Pre-Clinical Alzheimer's (ALZ) Diagnosis (PCD) = Optimum Outcomes (OO)
This Observational protocol will attempt to verify two recent and very critical concepts in ALZ Clinical Research by studying high-risk individuals who already are taking medications which may prevent the onset of ALZ.
- It may be possible to determine the future development of ALZ in a preclinical state in a cognitively normal but high risk individual at least 18-24 months before any symptoms develop of cognitive impairment.
- Early treatment of these cognitively normal high-risk persons with subclinical pre-ALZ can prevent of delay the occurrence and severity of ALZ.
Caveats
Neither this protocol nor the fMRI imaging are designed or intended to diagnose or treat ALZ, nor develop or use medications or diagnostic neuroimaging outside of already approved and accepted parameters. Persons who volunteer to be study subjects in this observational protocol will be under the care of their primary care / specialty physician, who will order tests and treatments as they see appropriate.
Although there is a very large body of peer-reviewed scientific literature demonstrating that certain functional MRI patterns are associated with certain neurologic conditions, the utilization of fMRI for the evaluation of neurologic disorders is still considered an emerging science and therefore in the investigational stage. Although this protocol will report on brain patterns of certain neurologic conditions such as cognitive impairment and Alzheimer's disease, based on patterns published in peer-reviewed journals, such findings are not considered stand alone or diagnostic per se and should always be considered by the PMD in conjunction with the patient's clinical condition. These data should only be used as additional information to add to the PMD's diagnostic impression.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Prospective observational study participants age 50-75 years are identified who are currently (<1 month) taking or will soon (within 3 months) start taking study medications of interest thru their own physician.
Prospective observational study participants are explained how persons can be cognitively normal but at high risk for developing clinical ALZ, and that this risk can be prospectively identified.
They are advised that there is some rationale that medications they are or will soon be taking may have a protective effect in delaying the onset of ALZ, and that protective effect can be monitored.
They are asked if they would like to participate in a protocol that monitors their prospective risk for developing ALZ short term, and whether certain of their prescribed medications may have a protective effect. Those who are accepting to be participants are then enrolled in the study.
Enrollees are tested for risk factors for having pre-clinical ALZ. Individuals identified as being at risk at baseline are followed at 6 month intervals for a 24 month period using psychometric testing and functional neuroimaging. Their maintenance of cognitive stability or cognitive decline is monitored while under the care of their PMD and while taking medications of interest.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
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Connecticut
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Westport, Connecticut, United States, 06880
- Recruiting
- Millennium Magnetic Technologies, LLC
-
Contact:
- Donald H Marks, MD PhD
- Phone Number: 9733070364
- Email: DHM@MilMag.net
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Contact:
- Steve Levy, MD
- Phone Number: 203-423-9494
- Email: SL@MilMag.net
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 50 to 75 years old,
- Normal baseline cognitive function by standard psychometric testing.
- Able to privately fund psychometric and neuroimaging studies if not covered by their insurance,
- Able to give written Informed Consent,
- Ascent for collaboration by their primary care or specialty physician,
- Currently taking (<1 month) or planning to take (within the next 3 months) medications which are identified in the study group of interest, prescribed by and under the care of a PMD or specialty physician.
Exclusion Criteria:
• Inability to undergo MR Imaging : Claustrophobia, certain metal implants,
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of Participants who Develop Cognitive Decline
Time Frame: 18-24 month
|
Cognitive decline is defined as a reduction from baseline performance within each individual of at least one standard deviation (SD) on at least one of the three principal outcome indices (DRS-2, RAVLT Sum of Trials 1-5 [T1- 5], RAVLT Delayed Recall [DR]).
|
18-24 month
|
Collaborators and Investigators
Investigators
- Principal Investigator: Donald H Marks, MD PhD, MMT
Publications and helpful links
General Publications
- Xekardaki A, Rodriguez C, Montandon ML, Toma S, Tombeur E, Herrmann FR, Zekry D, Lovblad KO, Barkhof F, Giannakopoulos P, Haller S. Arterial spin labeling may contribute to the prediction of cognitive deterioration in healthy elderly individuals. Radiology. 2015 Feb;274(2):490-9. doi: 10.1148/radiol.14140680. Epub 2014 Oct 7.
- Woodard JL, Seidenberg M, Nielson KA, Smith JC, Antuono P, Durgerian S, Guidotti L, Zhang Q, Butts A, Hantke N, Lancaster M, Rao SM. Prediction of cognitive decline in healthy older adults using fMRI. J Alzheimers Dis. 2010;21(3):871-85. doi: 10.3233/JAD-2010-091693.
- Rizk-Jackson A, Insel P, Petersen R, Aisen P, Jack C, Weiner M. Early indications of future cognitive decline: stable versus declining controls. PLoS One. 2013 Sep 9;8(9):e74062. doi: 10.1371/journal.pone.0074062. eCollection 2013.
- Lazarczyk MJ, Hof PR, Bouras C, Giannakopoulos P. Preclinical Alzheimer disease: identification of cases at risk among cognitively intact older individuals. BMC Med. 2012 Oct 25;10:127. doi: 10.1186/1741-7015-10-127.
- Haller S, Nguyen D, Rodriguez C, Emch J, Gold G, Bartsch A, Lovblad KO, Giannakopoulos P. Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis. 2010;22(1):315-27. doi: 10.3233/JAD-2010-100840.
- Green RC, Christensen KD, Cupples LA, Relkin NR, Whitehouse PJ, Royal CD, Obisesan TO, Cook-Deegan R, Linnenbringer E, Butson MB, Fasaye GA, Levinson E, Roberts JS; REVEAL Study Group. A randomized noninferiority trial of condensed protocols for genetic risk disclosure of Alzheimer's disease. Alzheimers Dement. 2015 Oct;11(10):1222-30. doi: 10.1016/j.jalz.2014.10.014. Epub 2014 Dec 9.
- Christensen KD, Roberts JS, Whitehouse PJ, Royal CD, Obisesan TO, Cupples LA, Vernarelli JA, Bhatt DL, Linnenbringer E, Butson MB, Fasaye GA, Uhlmann WR, Hiraki S, Wang N, Cook-Deegan R, Green RC; REVEAL Study Group*. Disclosing Pleiotropic Effects During Genetic Risk Assessment for Alzheimer Disease: A Randomized Trial. Ann Intern Med. 2016 Feb 2;164(3):155-63. doi: 10.7326/M15-0187. Epub 2016 Jan 26.
- Galluzzi S, Marizzoni M, Babiloni C, Albani D, Antelmi L, Bagnoli C, Bartres-Faz D, Cordone S, Didic M, Farotti L, Fiedler U, Forloni G, Girtler N, Hensch T, Jovicich J, Leeuwis A, Marra C, Molinuevo JL, Nobili F, Pariente J, Parnetti L, Payoux P, Del Percio C, Ranjeva JP, Rolandi E, Rossini PM, Schonknecht P, Soricelli A, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Bordet R, Blin O, Frisoni GB; PharmaCog Consortium. Clinical and biomarker profiling of prodromal Alzheimer's disease in workpackage 5 of the Innovative Medicines Initiative PharmaCog project: a 'European ADNI study'. J Intern Med. 2016 Jun;279(6):576-91. doi: 10.1111/joim.12482. Epub 2016 Mar 4.
- Cavedo E, Lista S, Khachaturian Z, Aisen P, Amouyel P, Herholz K, Jack CR Jr, Sperling R, Cummings J, Blennow K, O'Bryant S, Frisoni GB, Khachaturian A, Kivipelto M, Klunk W, Broich K, Andrieu S, de Schotten MT, Mangin JF, Lammertsma AA, Johnson K, Teipel S, Drzezga A, Bokde A, Colliot O, Bakardjian H, Zetterberg H, Dubois B, Vellas B, Schneider LS, Hampel H. The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations. J Prev Alzheimers Dis. 2014 Dec;1(3):181-202. doi: 10.14283/jpad.2014.32.
- Bangen KJ, Restom K, Liu TT, Wierenga CE, Jak AJ, Salmon DP, Bondi MW. Assessment of Alzheimer's disease risk with functional magnetic resonance imaging: an arterial spin labeling study. J Alzheimers Dis. 2012;31 Suppl 3(0):S59-74. doi: 10.3233/JAD-2012-120292.
- Caltagirone C, Ferrannini L, Marchionni N, Nappi G, Scapagnini G, Trabucchi M. The potential protective effect of tramiprosate (homotaurine) against Alzheimer's disease: a review. Aging Clin Exp Res. 2012 Dec;24(6):580-7. doi: 10.3275/8585. Epub 2012 Sep 5.
- Chincarini A, Bosco P, Calvini P, Gemme G, Esposito M, Olivieri C, Rei L, Squarcia S, Rodriguez G, Bellotti R, Cerello P, De Mitri I, Retico A, Nobili F; Alzheimer's Disease Neuroimaging Initiative. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease. Neuroimage. 2011 Sep 15;58(2):469-80. doi: 10.1016/j.neuroimage.2011.05.083. Epub 2011 Jun 16.
- Chiang K, Koo EH. Emerging therapeutics for Alzheimer's disease. Annu Rev Pharmacol Toxicol. 2014;54:381-405. doi: 10.1146/annurev-pharmtox-011613-135932.
- Chao S, Roberts JS, Marteau TM, Silliman R, Cupples LA, Green RC. Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study. Alzheimer Dis Assoc Disord. 2008 Jan-Mar;22(1):94-7. doi: 10.1097/WAD.0b013e31815a9dcc.
- Deardorff WJ, Grossberg GT. Targeting neuroinflammation in Alzheimer's disease: evidence for NSAIDs and novel therapeutics. Expert Rev Neurother. 2017 Jan;17(1):17-32. doi: 10.1080/14737175.2016.1200972. Epub 2016 Jun 24.
- Garcia-Osta A, Cuadrado-Tejedor M, Garcia-Barroso C, Oyarzabal J, Franco R. Phosphodiesterases as therapeutic targets for Alzheimer's disease. ACS Chem Neurosci. 2012 Nov 21;3(11):832-44. doi: 10.1021/cn3000907. Epub 2012 Oct 1.
- Griffin WS. Neuroinflammatory cytokine signaling and Alzheimer's disease. N Engl J Med. 2013 Feb 21;368(8):770-1. doi: 10.1056/NEJMcibr1214546. No abstract available.
- Gurney ME, D'Amato EC, Burgin AB. Phosphodiesterase-4 (PDE4) molecular pharmacology and Alzheimer's disease. Neurotherapeutics. 2015 Jan;12(1):49-56. doi: 10.1007/s13311-014-0309-7.
- Heckman PR, Wouters C, Prickaerts J. Phosphodiesterase inhibitors as a target for cognition enhancement in aging and Alzheimer's disease: a translational overview. Curr Pharm Des. 2015;21(3):317-31. doi: 10.2174/1381612820666140826114601.
- Li NC, Lee A, Whitmer RA, Kivipelto M, Lawler E, Kazis LE, Wolozin B. Use of angiotensin receptor blockers and risk of dementia in a predominantly male population: prospective cohort analysis. BMJ. 2010 Jan 12;340:b5465. doi: 10.1136/bmj.b5465.
- Langbaum JB, Fleisher AS, Chen K, Ayutyanont N, Lopera F, Quiroz YT, Caselli RJ, Tariot PN, Reiman EM. Ushering in the study and treatment of preclinical Alzheimer disease. Nat Rev Neurol. 2013 Jul;9(7):371-81. doi: 10.1038/nrneurol.2013.107. Epub 2013 Jun 11. Erratum In: Nat Rev Neurol. 2013 Aug;9(8):418.
- Peters KR, Lynn Beattie B, Feldman HH, Illes J. A conceptual framework and ethics analysis for prevention trials of Alzheimer Disease. Prog Neurobiol. 2013 Nov;110:114-23. doi: 10.1016/j.pneurobio.2012.12.001. Epub 2013 Jan 21.
- Riedel WJ. Preventing cognitive decline in preclinical Alzheimer's disease. Curr Opin Pharmacol. 2014 Feb;14:18-22. doi: 10.1016/j.coph.2013.10.002. Epub 2013 Nov 13.
- Zhou Y, Tan C, Wen D, Sun H, Han W, Xu Y. The Biomarkers for Identifying Preclinical Alzheimer's Disease via Structural and Functional Magnetic Resonance Imaging. Front Aging Neurosci. 2016 Apr 27;8:92. doi: 10.3389/fnagi.2016.00092. eCollection 2016. No abstract available.
- Vernarelli JA, Roberts JS, Hiraki S, Chen CA, Cupples LA, Green RC. Effect of Alzheimer disease genetic risk disclosure on dietary supplement use. Am J Clin Nutr. 2010 May;91(5):1402-7. doi: 10.3945/ajcn.2009.28981. Epub 2010 Mar 10.
- Vom Berg J, Prokop S, Miller KR, Obst J, Kalin RE, Lopategui-Cabezas I, Wegner A, Mair F, Schipke CG, Peters O, Winter Y, Becher B, Heppner FL. Inhibition of IL-12/IL-23 signaling reduces Alzheimer's disease-like pathology and cognitive decline. Nat Med. 2012 Dec;18(12):1812-9. doi: 10.1038/nm.2965. Epub 2012 Nov 25.
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- PCD=OO ALZ
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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