Cognitive Decline and Alzheimer's Disease in the Dallas Lifespan Brain Study
NCT ID: NCT04080544
Last Updated: 2023-09-28
Study Results
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View full resultsBasic Information
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COMPLETED
PHASE2
125 participants
INTERVENTIONAL
2019-01-15
2022-06-30
Brief Summary
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Detailed Description
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Importantly, the recent ability to image beta-amyloid and tau deposits in vivo using positron emission tomography (PET) scanning has revolutionized our understanding of early stages of AD. Evidence suggests that amyloid deposits may be detected 10 - 15 years before memory symptoms appear. These findings are leading to the ability to diagnose AD years before symptoms begin. Much less is known about the impact and developmental course of tau deposition as compared to beta-amyloid because the ligand to image tau was only recently invented. There is increasing evidence that tau is particularly toxic to the brain and is a later precursor of AD than amyloid deposits. Additional research on beta-amyloid and tau deposition in aging is crucial, as much work suggests that treatment of AD may be most effective when implemented early in the time course of the disease. Understanding the impact of tau deposits and its interactions with amyloid deposition allows the investigators to see the development of early markers of AD, which are important in understanding the trajectory of the disease. An important approach to understand the amyloid/tau puzzle and its relationship to AD is a large-scale longitudinal study of normal aging that integrates extensive neuroimaging and cognitive assessments along with tau imaging. A key aspect in understanding pathological aging is the need to be able to clearly differentiate normal aging from early pathology. The present Tau imaging study described here is an important component of the Dallas Lifetime Brain Study (DLBS).
The Dallas Lifespan Brain Study (DLBS) began in 2008 and was designed to utilize the new in vivo imaging techniques to address uncertainty regarding how AD pathology relates to the developmental process of aging and cognition, fueled in part by the partial overlap of pathological markers and decline in mnemonic function observed in a substantial proportion of 'normal' aged individuals. A total of 296 participants were recruited for Wave 1 from 2008 to 2014 to the DLBS and they received cognitive testing, structural and functional MRI, as well as a scan for beta amyloid using the radioligand AV-45 Florbetapir F 18 (also known as "\[18F\]AV-45"). A total of 183 returning participants were tested four years later in Wave 2, and they received the same battery as in Wave 1. In addition, 60 of these were also scanned with Flortaucipir F 18 (also known as "\[18F\]AV-1451"). \[18F\]AV-1451 is a newly-developed Phase II ligand that measures tau deposit in the human brain and this drug was provided to the DLBS by Avid Radiopharmaceuticals.
The objective of the current study is to test 125 DLBS participants with \[18F\]AV-1451 (Flortaucipir F 18) at the University of Texas Southwestern Medical Center (UTSW). The inclusion of tau imaging in Wave 3 will allow the investigators to relate tau deposition in the brain to the 10-year history of amyloid deposition and cognitive decline in the DLBS participants and understand the independent and joint contributions of tau to cognitive decline and early AD at different ages.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Follow up DLBS participants
Eight to ten year follow-up DLBS participants who were cognitively normal at the time of enrollment from 2008 to 2014.
[18F]AV-1451
The subject will receive up to a target dose of 370 megabecquerel (MBq) as a single IV bolus of \[18F\]AV-1451.
Positron Emission Tomography
Approximately 80 minutes after injection subjects will be placed in the UTSW PET/CT scanner for a 20-minute brain scan.
Interventions
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[18F]AV-1451
The subject will receive up to a target dose of 370 megabecquerel (MBq) as a single IV bolus of \[18F\]AV-1451.
Positron Emission Tomography
Approximately 80 minutes after injection subjects will be placed in the UTSW PET/CT scanner for a 20-minute brain scan.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Subjects must indicate that they are not currently pregnant if they are women of child-bearing potential. Women of child-bearing potential and men must agree to use adequate contraception (hormonal or barrier method of birth control; abstinence) prior to study entry, for the duration of study participation, and for 90 days following completion of therapy. Should a woman become pregnant or suspect she is pregnant while participating in this study, she should inform her treating physician immediately. A female of child-bearing potential is any woman (regardless of sexual orientation, having undergone a tubal ligation, or remaining celibate by choice) who meets the following criteria: 1) Has not undergone a hysterectomy or bilateral oophorectomy; or 2) Has not been naturally post-menopausal for at least 12 consecutive months (i.e., has had menses at any time in the preceding 12 consecutive months).
* Volumetric Brain MRI Image (T-1 Weighted MPRage) collected as part of DLBS Wave 1, 2, or 3 protocol.
* Completed at least 9 years of formal education, or the equivalent of freshman year of high school.
* Fluent English speakers.
* Tolerate laying 20 minutes on a flat table for the PET scan.
* Ability to understand and the willingness to sign a written informed consent.
Exclusion Criteria
* Taking some types of sedatives, benzodiazepines, or anti-psychotics.
* Currently undergoing chemotherapy or radiation for cancer.
* New history of substance abuse.
* Has a history of drug or alcohol dependence within the last year, or prior prolonged history of dependence.
* Recreational drug use in past six months.
* Central nervous systems disease or brain injury that would preclude participation in the study.
* Psychiatric or neurological disorder that would preclude participation in this study.
* Has clinically significant hepatic, renal, pulmonary, metabolic or endocrine disturbances which pose safety risk.
* Has a current clinically significant cardiovascular disease that poses a safety risk.
* Has a current clinically significant infectious disease or a medical comorbidity which poses a safety risk.
* Has either: 1) Screening electrocardiogram (ECG) with corrected QT Interval (QTc) \> 450 millisecond (msec) if male, or QTc \> 470 msec if female; or 2) A history of additional risk factors for Torsades de Pointes (TdP) (e.g., hypokalemia, family history of Long QT syndrome) or are taking drugs that are known to cause QT prolongation (a list of prohibited and discouraged medications is provided by the Sponsor); Patients with a prolonged QTc interval in the setting of intraventricular conduction block (examples right bundle branch block or left bundle branch block), may be enrolled with sponsor approval.
* Has received or will receive investigational medication within the 30 days of PET/CT scan.
* Has received or will receive a radiopharmaceutical for imaging or therapy within 24 hours of PET/CT scan.
* Is a participant who, in the opinion of the investigator(s), is otherwise unsuitable for a study of this type.
38 Years
96 Years
ALL
No
Sponsors
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Neil M Rofsky, MD, MHA
OTHER
Responsible Party
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Neil M Rofsky, MD, MHA
Professor and Chair, Department of Radiology
Principal Investigators
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Denise Park, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Texas at Dallas
Locations
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UT Southwestern Medical Center
Dallas, Texas, United States
Countries
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References
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Balota D.A., Faust M.E. (2001). Attention in dementia of the Alzheimer's type. In: Boller F, Cappa S, editors. Handbook of Neuropsychology. 2nd Ed. NY: Elsevier Science; pp. 51-80.
Bennett DA, Schneider JA, Tang Y, Arnold SE, Wilson RS. The effect of social networks on the relation between Alzheimer's disease pathology and level of cognitive function in old people: a longitudinal cohort study. Lancet Neurol. 2006 May;5(5):406-12. doi: 10.1016/S1474-4422(06)70417-3.
Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82(4):239-59. doi: 10.1007/BF00308809.
Convit A, de Leon MJ, Golomb J, George AE, Tarshish CY, Bobinski M, Tsui W, De Santi S, Wegiel J, Wisniewski H. Hippocampal atrophy in early Alzheimer's disease: anatomic specificity and validation. Psychiatr Q. 1993 Winter;64(4):371-87. doi: 10.1007/BF01064929.
Holm S: A Simple Sequentially Rejective Bonferroni Test. Scandinavian Journal of Statistics. 1979, 65 -670.
Kemper S, Anagnopoulos C, Lyons K, Heberlein W. Speech accommodations to dementia. J Gerontol. 1994 Sep;49(5):P223-9. doi: 10.1093/geronj/49.5.p223.
Khachaturian ZS. Diagnosis of Alzheimer's disease. Arch Neurol. 1985 Nov;42(11):1097-105. doi: 10.1001/archneur.1985.04060100083029. No abstract available.
Killiany RJ, Moss MB, Albert MS, Sandor T, Tieman J, Jolesz F. Temporal lobe regions on magnetic resonance imaging identify patients with early Alzheimer's disease. Arch Neurol. 1993 Sep;50(9):949-54. doi: 10.1001/archneur.1993.00540090052010.
Jack, C., Knopman, D., Jagust, W., Petersen, R., Weiner, M., Aisen, P., … Trojanowski, J. (2013). Update on hypothetical model of Alzheimer's disease biomarkers. Alzheimer's & Dementia, 9(4), 521-522.
Jack CR Jr, Petersen RC, Xu YC, Waring SC, O'Brien PC, Tangalos EG, Smith GE, Ivnik RJ, Kokmen E. Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease. Neurology. 1997 Sep;49(3):786-94. doi: 10.1212/wnl.49.3.786.
Mohs RC, Ashman TA, Jantzen K, Albert M, Brandt J, Gordon B, Rasmusson X, Grossman M, Jacobs D, Stern Y. A study of the efficacy of a comprehensive memory enhancement program in healthy elderly persons. Psychiatry Res. 1998 Feb 27;77(3):183-95. doi: 10.1016/s0165-1781(98)00003-1.
Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 2009;60:173-96. doi: 10.1146/annurev.psych.59.103006.093656.
Price JL, Ko AI, Wade MJ, Tsou SK, McKeel DW, Morris JC. Neuron number in the entorhinal cortex and CA1 in preclinical Alzheimer disease. Arch Neurol. 2001 Sep;58(9):1395-402. doi: 10.1001/archneur.58.9.1395.
Reuter-Lorenz PA, Park DC. How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychol Rev. 2014 Sep;24(3):355-70. doi: 10.1007/s11065-014-9270-9. Epub 2014 Aug 21.
Sperling RA, Aisen PS, Beckett LA, Bennett DA, Craft S, Fagan AM, Iwatsubo T, Jack CR Jr, Kaye J, Montine TJ, Park DC, Reiman EM, Rowe CC, Siemers E, Stern Y, Yaffe K, Carrillo MC, Thies B, Morrison-Bogorad M, Wagster MV, Phelps CH. Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 2011 May;7(3):280-92. doi: 10.1016/j.jalz.2011.03.003. Epub 2011 Apr 21.
Storandt M, Grant EA, Miller JP, Morris JC. Rates of progression in mild cognitive impairment and early Alzheimer's disease. Neurology. 2002 Oct 8;59(7):1034-41. doi: 10.1212/wnl.59.7.1034.
Trojanowski JQ, Clark CM, Schmidt ML, Arnold SE, Lee VM. Strategies for improving the postmortem neuropathological diagnosis of Alzheimer's disease. Neurobiol Aging. 1997 Jul-Aug;18(4 Suppl):S75-9. doi: 10.1016/s0197-4580(97)00075-4.
Whalley LJ. Brain ageing and dementia: what makes the difference? Br J Psychiatry. 2002 Nov;181:369-71. doi: 10.1192/bjp.181.5.369. No abstract available.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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STU 092015-003
Identifier Type: -
Identifier Source: org_study_id
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