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Keene, Dirk

Mayo Clinic

University of Washington

Citations 3

The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI): Overview of consortium sites and anticipated enrollment
Oomens, Julie Elisabeth , Biber, Sarah , Albert, Marilyn, Alosco, Michael L. , Arfanakis, Konstantinos , Brewer, James B., Chin, Erin, Clark, Lindsay R. , Cohen, Ann D. , Dage, Jeffrey L. , Detre, John A. , DiFilippo, Frank P. , Dyck, Christopher H. van , Grabowski, Thomas J. , Habes, Mohamad, Hedden, Trey , Jagust, William, Jefferson, Angela L. , Kecskemeti, Steven , Kantarci, Kejal, Keene, Dirk, Knoefel, Janice E. , Lin, Weili, Masurkar, Arjun V. , Morhardt, Darby, Okonkwo, Ozioma C. , Rabinovici, Gil D. , Rahman‐Filipiak, Annalise , Reiman, Eric M., Risacher, Shannon L. , Rosen, Howie, Schneider, Lon S. , Song, Allen W. , Swerdlow, Russell H. , Vaillancourt, David E. , Villemagne, Victor L. , Qiu, Deqiang , Foroud, Tatiana, Mormino, Elizabeth C. , Kantarci, Kejal , Oomens, Julie E , Kantarci, Kejal , Rabinovici, Gil D , Dage, Jeffrey L , Cohen, Annie , Benzinger, Tammie L.S. , Burns, Jeffrey M. , Chin, Nathaniel A. , Dickerson, Bradford Clark , Donohue, Michael , Fan, Audrey Peiwen , Habes, Mohamad , Harrison, Theresa M. , Hohman, Timothy J. , Jicha, Gregory A. , Kukull, Walter A. , Lin, Weili , Lao, Patrick , Lepping, Rebecca J. , Levendovszky, Swati Rane , McConathy, Jonathan , Mindt, Mónica Rivera , Noll, Douglas C. , Parrish, Todd B. , Reiman, Eric M. , Rudolph, Marc D. , Silbert, Lisa C. , Stark, Craig E.L. , Thompson, Paul M. , Wolk, S. J. , Johnson, Sterling C.

Alzheimer's & Dementia | November 10, 2025 | Volume: 21 | Issue: 11 | Pages: No page available

10.1002/alz.70880 Get It

Abstract INTRODUCTION The Consortium for Clarity in Alzheimer's disease related dementias (ADRD) Research Through Imaging (CLARiTI) is a study that aims to collect standardized imaging and plasma biomarkers on 2000 Clinical Core participants enrolled across all Alzheimer's Disease Research Centers (ADRC) sites. We sought to summarize the known heterogeneity across centers regarding scientific focus and initial enrollment plans for CLARiTI. METHODS We developed and distributed a survey capturing information on the 36 CLARiTI site's theme/expertise, recruitment plans, and the intersection of CLARiTI with other ADRC imaging efforts. RESULTS Anticipated CLARiTI enrollees spanned 11 different categories of suspected etiologies underlying impairment. A wide range of risk factors were endorsed across sites regarding the enrollment of unimpaired individuals. Variability also existed regarding site‐level strategies in enrollment into CLARiTI versus other imaging efforts. DISCUSSION We anticipate that the 2000 individuals that will enroll into CLARiTI will reflect the clinical heterogeneity already in place across the ADRC network. Highlights The ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI) will leverage and contribute to the existing Alzheimer's Disease Research Centers (ADRC) program by supporting standardized imaging and plasma collection across all centers. We summarize the variation in scientific focus and enrollment plans across ADRC sites participating in CLARiTI. The anticipated CLARiTI cohort will reflect the clinical heterogeneity that already exists across the ADRC network. CLARiTI will contribute to scientific goals related to the detection of multi‐etiological signatures relevant for Alzheimer's disease and related disorders (ADRDs).
Common Variants Near ZIC1 and ZIC4 in Autopsy‐Confirmed Multiple System Atrophy
Hopfner, Franziska , Tietz, Anja, Ruf, Viktoria , Ross, Owen A. , Koga, Shunsuke , Attems, Johannes , Beach, Thomas, Beller, Allison , Duyckaerts, Charles, Evsyukov, Valentin, Flanagan, Margaret E. , Frosch, Matthew P. , Gearing, Marla , Gelpí, Ellen , Gerpen, Jay A. van, Glass, Jonathan D. , Grinberg, Lea T. , Halliday, Glenda M. , Höllerhage, Matthias , Huitinga, Inge , Keene, Dirk, Kovács, Gábor G. , Lee, Edward B. , Xiong, Chengjie , Martı́, Marı́a José , Mackenzie, Ian R. , Mollenhauer, Brit , Neumann, Manuela , Newell, Kathy L. , Pendziwiat, Manuela , Molina‐Porcel, Laura , Rábano, Alberto , Rajput, Alex, Rajput, Ali H. , Reimann, Regina , Selvackadunco, Sashika , Simuni, Tanya , Svenningsson, Per , Trenkwalder, Claudia , Troakes, Claire , Trojanowski, John Q. , Uitti, Ryan J. , Xie, Tao , Ximelis, Teresa , Yebenes, Justo, Müller, Ulrich , Schellenberg, Gerard D., Herms, Jochen , Kuhlenbäumer, Gregor , Deuschl, Günther , Gelpi, Ellen , Van Gerpen, Jay A, Halliday, Glenda , Irwin, David J , Mollenhauer, Brit , Pantelyat, Alex , Svenningsson, Per , Höglinger, Günter U , Koga, Shunsuke , Ross, Owen A , Kovacs, Gabor G , Xiong, Chengjie , Grinberg, Lea , Molina-Porcel, Laura , Troakes, Claire , Hopfner, Franziska , Lee, Edward B , Simuni, Tanya , Dickson, Dennis W. , Aguzzi, Adriano , Cheshire, William P. , Deerlin, Vivianna M. Van , Desplats, Paula , Deuschl, Günther , Duyckaerts, Charles , Ellinghaus, David , Franke, André , Ghetti, Bernardino , Helbig, Ingo , Irwin, David J. , McKeith, Ian G. , McLean, Catriona , Pantelyat, Alexander , Peters, Annette , Matěj, Radoslav , Scott, William K. , Seeley, William W. , Stadelmann, Christine , Thomas, Alan , White, Charles L. , Wszołek, Zbigniew K. , Schellenberg, Gerard D., Höglinger, Günter U.

Movement Disorders | August 23, 2022 | Volume: 37 | Issue: 10 | Pages: 2110-2121

10.1002/mds.29164 Get It

ABSTRACT Background Multiple System Atrophy is a rare neurodegenerative disease with alpha‐synuclein aggregation in glial cytoplasmic inclusions and either predominant olivopontocerebellar atrophy or striatonigral degeneration, leading to dysautonomia, parkinsonism, and cerebellar ataxia. One prior genome‐wide association study in mainly clinically diagnosed patients with Multiple System Atrophy failed to identify genetic variants predisposing for the disease. Objective Since the clinical diagnosis of Multiple System Atrophy yields a high rate of misdiagnosis when compared to the neuropathological gold standard, we studied only autopsy‐confirmed cases. Methods We studied common genetic variations in Multiple System Atrophy cases (N = 731) and controls (N = 2898). Results The most strongly disease‐associated markers were rs16859966 on chromosome 3, rs7013955 on chromosome 8, and rs116607983 on chromosome 4 with P ‐values below 5 × 10 −6 , all of which were supported by at least one additional genotyped and several imputed single nucleotide polymorphisms. The genes closest to the chromosome 3 locus are ZIC1 and ZIC4 encoding the zinc finger proteins of cerebellum 1 and 4 (ZIC1 and ZIC4). Interpretation Since mutations of ZIC1 and ZIC4 and paraneoplastic autoantibodies directed against ZIC4 are associated with severe cerebellar dysfunction, we conducted immunohistochemical analyses in brain tissue of the frontal cortex and the cerebellum from 24 Multiple System Atrophy patients. Strong immunohistochemical expression of ZIC4 was detected in a subset of neurons of the dentate nucleus in all healthy controls and in patients with striatonigral degeneration, whereas ZIC4‐immunoreactive neurons were significantly reduced inpatients with olivopontocerebellar atrophy. These findings point to a potential ZIC4‐mediated vulnerability of neurons in Multiple System Atrophy. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society