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The recent development of a PET tracer,[18F]MK-6240(an[18F]tau imaging agent,CerveauTechnologies)that has high affinity for the human phosphorylated tau deposits in AD brain offers new opportunities to investigate tau pathology. The investigators will evaluate this imaging agent in individuals from families with a known Autosomal Dominant Alzheimer's Disease (ADAD) mutation. This study of tau PET using [18F]MK-6240 is performed in conjunction with DIAN and DIAN Extended Registry (DIAN-EXR).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MK 6240 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MK 6240 | Drug | PET tracer, [18F]MK-6240 (an[18F]tau imaging agent,CerveauTechnologies)that has high affinity for the human phosphorylated tau deposits in AD brain offers new opportunities to investigate tau pathology.(Hostetler, Walji et al. 2016, Lohith, Bennacef et al. 2016, Walji, Hostetler et al. 2016, Lohith, Bennacef et al. 2017, Neelamegam, Yokell et al. 2017).We will evaluate this imaging agent in individuals from families with a known Autosomal Dominant Alzheimer's Disease (ADAD) mutation. The planned dosage for [18F]MK-6240 is a single intravenous bolus injection of 185 MBq (5.0 mCi) in a large peripheral vein followed by a 10 mL normal saline (0.9% NaCl) flush. |
| Measure | Description | Time Frame |
|---|---|---|
| Study the temporal dynamics of tau deposition (using [18F]MK-6240). | Aim 3 multivariate linear regression models will be implemented within the general linear mixed model framework and estimated using restricted maximum likelihood estimation. This approach allows for the estimation of the association between [18F]MK-6240 and tauopathy measures across all brain regions to be studied in a single model, by considering the dependency in the plaque measures caused by multiple brain regions being nested within a single patient. | 12 years from enrollment |
| Study the temporal dynamics of tau deposition (using [18F]MK-6240). | We will first fit a model in training samples and then use the fitted model to predict the longitudinal changes in tau PET and compare the predicted changes with observed data in independent validation samples. This process will be repeated multiple times, thus correcting for the upward bias and computing "honest" measures of replicability of a specific statistical model. We will repeat the cross-validation process for all scientifically interpretable candidate models that we will consider when comparing to tau PET data. A pseudo-panel from additional cross-sectional datasets can also be used in which observations of different subjects in different time-to-onset lengths are matched across observable covariates. | 12 years from enrollment |
| Study the temporal dynamics of tau deposition (using [18F]MK-6240). | A statistical approach will be applied but will consider both Aβ and tau PET. Neuropsychometric measures will be grouped into composites representing working memory, episodic memory, language function, and a global composite. Linear mixed effects models will be implemented including family and DIAN site as random effects. Models will include baseline levels of Aβ PET and tau PET from summary measures, EYO, group (asymptomatic and symptomatic), and all interactions | 12 years from enrollment |
| Study the spatial (both local and distributed) changes of tau deposition (using [18F]MK-6240). |
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Inclusion Criteria:
Exclusion Criteria:
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Participants have met all eligibility criteria for enrollment into the Dominantly Inherited Alzheimer's Network (DIAN) and DIAN Extended Registry (DIAN EXR) study enrollment criteria.
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| Name | Affiliation | Role |
|---|---|---|
| Tammie Benzinger, MD, PhD | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University School of Medicine | St Louis | Missouri | 63110 | United States |
De-identified study data will be maintained at Washington University. This de-identified data may also be shared with other investigators doing research in similar fields such as Alzheimer disease, other neurological disorders or related brain diseases andabnormalities. These investigators may be at Washington University or at other research institutions. This de-identified data may also be shared with large repositories for broad sharing with the research community. If the participant's research data is placed in one of these repositories, only qualified researchers who have received prior approval from individuals that monitor the use of the datawill be able to look at this information. Information from this research study has been or will be entered into a clinical trial databank that is maintained by the National Institutes of Health/National Library of Medicine.
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| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| D020774 | Pick Disease of the Brain |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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Using novel mathematical models, we will correlate the topography of tau PET with both cross-sectional and longitudinal spatial patterns seen with other imaging biomarkers (Aβ PET and MRI [structuraland functional]).
| 12 years from enrollment |
| Study the relationship between in vivo tau deposition and neuropathology. | We will perform quantitative measures of cortical tauopathy NFT, NP, and neuropil thread (NT) burden in twenty-five brain areas using tau-immunostained sections and automated stereological methods. | 12 years from enrollment |
| Study the relationship between in vivo tau deposition and neuropathology. | Neuropathological results will be aligned with in vivo imaging using an ex vivo MRI prior to sectioning. | 12 years from enrollment |
| D024801 |
| Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D057180 | Frontotemporal Dementia |
| D057174 | Frontotemporal Lobar Degeneration |