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Cohen, Annie

0000-0001-7395-9624

Mayo Clinic

University of Pittsburgh

Citations 4

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).
Cross‐sectional comparison of the role of tau burden among Down Syndrome Alzheimer disease and autosomal‐dominant Alzheimer disease
Boerwinkle, Anna H. , Henson, Rachel L. , Thippabhotla, Sharmila, Kennedy, James Tyler, Butt, Omar H. , Chen, Charles D., Christian, Bradley T. , Mapstone, Mark , Tudorascu, Dana , Cohen, Annie , Fagan, Anne M. , Price, Julie C. , Schupf, Nicole , Laymon, Charles M. , Krinsky‐McHale, Sharon J. , Lai, Florence , Rosas, H. Diana , Lott, Ira T. , Silverman, Wayne , Chhatwal, Jasmeer P. , Chui, Helena C., Farlow, Martin R. , Graff‐Radford, Neill R. , Mori, Hiroshi , Perrin, Richard J. , Salloway, Stephen , Xiong, Chengjie , Wisch, Julie K. , Gordon, Brian A. , Flores, Shaney , McKay, Nicole S. , Handen, Benjamin L. , Head, Elizabeth , Zammit, Matthew D. , Johnson, Sterling C. , Klunk, William E. , Rafii, Michael S. , O’Bryant, Sid E. , Yassa, Michael A. , Keator, David B. , Hartley, Sigan L. , Zaman, Shahid H. , Lao, Patrick , Brickman, Adam M. , Lee, Joseph H. , Allegri, Ricardo , Berman, Sarah , Chui, Helena C. , Cruchaga, Carlos , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Jucker, Mathias , Lee, Jae‐Hong , Xiong, Chengjie , Martins, Ralph N. , Sánchez‐Valle, Raquel , Schofield, Peter William , Xiong, Chengjie , Schindler, Suzanne E. , Morris, John C. , Karch, Celeste M. , Hassenstab, Jason , Benzinger, Tammie L.S. , McDade, Eric , Bateman, Randall J. , Ances, Beau M.

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S14 | Pages: No page available

10.1002/alz.079102 Get It

AbstractBackgroundAdults with Down Syndrome (DS) develop Alzheimer disease (AD)‐like pathology and dementia as they age. This is attributed to triplication of the amyloid precursor protein gene. Recent work demonstrated that amyloid is elevated in DS and accumulates in a similar topography to autosomal dominant AD (ADAD). Tau accumulation is the second hallmark of AD and may be measured using tau positron emission tomography (PET) imaging. The pattern of tau accumulation remains unknown in DS.MethodIn a cross‐sectional analysis we evaluated amyloid and tau positron emission tomography (PET) in 124 participants with DS (109 cognitively stable, 8 symptomatic, 7 no consensus), 29 ADAD mutation carriers (26 asymptomatic, 3 symptomatic), and 201 cognitively normal non‐mutation carriers (CN). Regional cortical standard uptake value ratios (SUVR) for tau imaging were obtained and compared by cognitive status. Similarly, regional cortical amyloid SUVR were obtained and converted to centiloids. We then compared the magnitude of tau burden as well as spatial spread of tau across groups relative to amyloid burden.ResultCompared to CN, tau PET binding was elevated in participants with (µDS = 2.12 ± 0.22 SUVR, µADAD = 2.52 ± 0.37 SUVR) and without (µDS = 1.24 ± 0.15 SUVR, µADAD = 1.16 ± 0.19 SUVR) cognitive changes. For both groups, tau increased with increasing amyloid (centiloids). In some regions, DS had greater tau burden for a given amyloid level (centiloids) (Figure 1). There was increased spatial distribution of tau throughout the brain for participants with DS compared to CN. In contrast, tau burden was more focal in participants with ADAD with tau primarily elevated in posterior regions (Figure 2).ConclusionWhile tau burden was higher with symptomatic disease for both groups, significant differences existed in the overall amount and spatial spread. Tau spread was greatest in participants with DS and more diffuse compared to ADAD. These results indicate a substantial tau burden is present in DS, and suggest not only anti‐amyloid but also tau‐reducing agents should be considered for treating cognitive decline in adults with DS.
AT(N) biomarker profiles and Alzheimer's disease symptomology in Down syndrome
Hartley, Sigan L. , Handen, Benjamin L. , Tudorascu, Dana , Lee, Laisze, Cohen, Annie , Peven, Jamie C. , Klunk, William E. , Laymon, Charles M. , Luo, Weiquan, Ances, Beau M. , Preboske, Gregory M., Christian, Bradley T. , Cohen, Ann D. , Preboske, Gregory, Ances, Beau M , Schworer, Emily K. , Zammit, Matthew D. , Minhas, Davneet Singh , Zaman, Shahid H.

Alzheimer's & Dementia | August 29, 2023 | Volume: 20 | Issue: 1 | Pages: 366-375

10.1002/alz.13446 Get It

AbstractINTRODUCTIONDown syndrome (DS) is a genetic cause of early‐onset Alzheimer's disease (AD). The National Institute on Aging–Alzheimer's Association AT(N) Research Framework is a staging model for AD biomarkers but has not been assessed in DS.METHODData are from the Alzheimer's Biomarker Consortium–Down Syndrome. Positron emission tomography (PET) amyloid beta (Aβ; 15 mCi of [11C]Pittsburgh compound B) and tau (10 mCi of [18F]AV‐1451) were used to classify amyloid (A) –/+ and tau (T) +/–. Hippocampal volume classified neurodegeneration (N) –/+. The modified Cued Recall Test assessed episodic memory.RESULTSAnalyses included 162 adults with DS (aged M = 38.84 years, standard deviation = 8.41). Overall, 69.8% of participants were classified as A–/T–/(N)–, 11.1% were A+/T–/(N)–, 5.6% were A+/T+/(N)–, and 9.3% were A+/T+/(N)+. Participants deemed cognitively stable were most likely to be A–T–(N)– and A+T–(N)–. Tau PET (T+) most closely aligning with memory impairment and AD clinical status.DISCUSSIONFindings add to understanding of AT(N) biomarker profiles in DS.Highlights Overall, 69.8% of adults with Down syndrome (DS) aged 25 to 61 years were classified as amyloid (A)–/tau (T)–/neurodegeneration (N)–, 11.1% were A+/T–/(N)–, 5.6% were A+/T+/(N)–, and 9.3% were A+/T+/(N)+. The AT(N) profiles were associated with clinical Alzheimer's disease (AD) status and with memory performance, with the presence of T+ aligned with AD clinical symptomology. Findings inform models for predicting the transition to the prodromal stage of AD in DS.
Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need
Quiroz, Yakeel T. , Albensi, Benedict C. , Astell, Arlene , Babiloni, Claudio , Bahar‐Fuchs, Alex , Bowman, Gene L. , Chételat, Gaël , Ciro, Carrie , Cohen, Ann D. , Dilworth‐Anderson, Peggye, Dreux, Simone, Edland, Steven D. , Esbensen, Anna J. , Ewers, Michael , Fargo, Keith N. , Fortea, Juan , González, Héctor M. , Gustafson, Deborah , Head, Elizabeth , Hendrix, James A. , Hofer, Scott M. , Johnson, Leigh , Jutten, Roos J. , Kilborn, Kerry, Martins, Ralph N. , Morris, Martha Clare , Murray, Melissa E. , Parra, Mario A. , Roe, Catherine M. , Santos, Octavio A. , Scarmeas, Nikolaos , Schneider, Lon S. , Schupf, Nicole , Sikkes, Sietske A.M. , Snyder, Heather M. , Sohrabi, Hamid R. , Strydom, André , Muñiz‐Terrera, Graciela , Teunissen, Charlotte E. , Lent, Debora Melo van , Weinborn, Michael , Wesselman, Linda M.P. , Arenaza-Urquijo, Eider, Teunissen, Charlotte E , Fortea, Juan , Murray, Melissa E , Babulal, Ganesh M. , Arenaza‐Urquijo, Eider M. , Bell, J. Simon , Brickman, Adam M. , Dodge, Hiroko Hayama , Evered, Lisbeth Anne , Gonzalez, Hector M , Lanctôt, Krista L. , Manly, Jennifer J. , Mielke, Michelle M. , Oh, Esther S , Rissman, Robert A. , Stern, Yaakov , Tang, Yi , Wilcock, Donna M. , Zetterberg, Henrik , O’Bryant, Sid E. , Head, Elizabeth , Cohen, Annie

Alzheimer's & Dementia | December 13, 2018 | Volume: 15 | Issue: 2 | Pages: 292-312

10.1016/j.jalz.2018.09.009 Get It

Abstract Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART ) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross‐PIA white paper that provides both a concise “state‐of‐the‐science” report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.