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Benzinger, Tammie L.S.

https://orcid.org/0000-0002-8114-0552

Mayo Clinic

Washington University in St. Louis

Citations 151

Association ofBDNFVal66Met With Tau Hyperphosphorylation and Cognition in Dominantly Inherited Alzheimer Disease
Barthélemy, Nicolas R. , Goate, Alison , Hassenstab, Jason , Fagan, Anne M. , Xiong, Chengjie , Cruchaga, Carlos , Farlow, Martin R. , Graff‐Radford, Neill R. , Laske, Christoph , Masters, Colin L. , Salloway, Stephen , Morris, John C. , Bateman, Randall J. , Network, Dominantly Inherited Alzheimer, Chhatwal, Jasmeer P. , Fitzpatrick, Colleen , Bodge, Courtney, Cruz, Chrismary De La, Mejia, Arlene, Neimeyer, Katie, Gardener, Samantha L. , Taddei, Kevin , Ping, Lingyan, Seyfried, Nick , Gräber‐Sultan, Susanne, Häsler, Lisa M., Käser, Stephan, Kuder-Buletta, Elke, Preische, Oliver, Diffenbacher, Anna, Igor, Yakushev, Levin, Johannes, Vöglein, Jonathan , Obermüller, Ulricke, Esposito, Bianca, Goate, Alison, Buck, Jill , Farlow, Marty, Chrem, Patricio, Egido, Noelia , Haass, Christian , Nuscher, Brigitte , Day, Gregory S. , Graham, Morgan, Stephens, Sochenda, Bechara, Jacob , Araki, Aki, Ishii, Kenji , Senda, Michio , Ihara, Ryoko , Nagamatsu, Akemi, Fox, Nick C. , Mummery, Cath, Goldberg, Sarah B. , Ikonomović, Snežana, Mountz, James M. , Nadkarni, Neelesh K. , Patira, Riddhi , Smith, Lori, Snitz, Beth E. , Thompson, Sarah , Weamer, Elise A., Mason, Neal Scott, Chui, Helena, Ringman, John M. , Adams, Sarah , Brandon, Susan E. , Buckles, Virginia, Cash, Lisa, Chen, Charlie, Chua, Jasmin, Cruchaga, Carlos, Denner, Darcy, Dincer, Aylin , Donahue, Tamara, Feldman, Becca , Franklin, Erin , Friedrichsen, Nelly, Gonzalez, Alyssa, Gray, Julia, Gremminger, Emily, Groves, Alex, Hassenstab, Jason, Hellm, Cortaiga, Herries, Elizabeth, Hoechst-Swisher, Laura, Hornbeck, Russ C. , Jerome, Gina, Keefe, Sarah , Koudelis, Deb, Martinez, Rita, Mawuenyega, Kwasi G., McCullough, Austin , McDade, Eric, Norton, Joanne, Perrin, Richard J. , Shady, Kristine, Sigurdson, Wendy, Xu, Jinbin , Cruchaga, Carlos , Day, Gregory S , Bateman, Randall J , Masters, Colin L , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Lim, Yen Ying , Maruff, Paul , Sato, Chihiro , Benzinger, Tammie L.S. , Xiong, Chengjie , Schofield, Peter R. , McDade, Eric , Network, Dominantly Inherited Alzheimer, Fitzpatrick, Colleen, Goldman, Jill , Noble, James M. , Martins, Ralph N. , Sohrabi, Hamid R. , Carter, Kathleen, Duong, Duc M , Johnson, Erik C. B. , Levey, Allan I. , Ping, Lingyan, Hofmann, Anna, Jucker, Mathias , Levin, Johannes, Goate, Alison, Renton, Alan , Brosch, Jared R. , Buck, Jill, Ghetti, Bernardino , Allegri, Ricardo , Morenas‐Rodríguez, Estrella , Jack, Clifford R. , Brooks, William S. , Ikeuchi, Takeshi , Kasuga, Kensaku , Fujii, Hisako , Shimada, Hiroyuki , Niimi, Yoshiki , Douglas, Jane, Grilo, Miguel, O’Connor, Antoinette , Koeppe, Robert A. , Berman, Sarah , Klunk, William E. , López, Oscar L. , Brandon, Susan, Cruchaga, Carlos, Feldman, Becca, Flores, Shaney , Gordon, Brian A. , Hassenstab, Jason, Holtzman, David M. , Karch, Celeste M. , Li, Yan , Marsh, Jacob, McDade, Eric, Smith, Jennifer A. , Wang, Peter , Wang, Qing , Xu, Xiong

JAMA Neurology | January 31, 2022 | Volume: 79 | Issue: 3 | Pages: 261

10.1001/jamaneurol.2021.5181 Get It

CSF and blood plasma mass spectrometry measures of Aβ, tau, and NfL species and longitudinal relationship to preclinical and clinical staging of amyloid and tau aggregation and clinical stage of Alzheimer’s disease
Barthélemy, Nicolas R. , Bollinger, James G., Fagan, Anne M. , Mawuenyega, Kwasi G., Ovod, Vitaliy , Budelier, Melissa M. , Petersen, Ronald C. , Shaw, Leslie M. , Trojanowski, John Q. , Weiner, Mike, Xiong, Chengjie , Bateman, Randall J. , Benzinger, Tammie L.S. , Gordon, Brian A. , Hansson, Oskar , Holtzman, David M. , Horie, Kanta , Li, Melody , Masters, Colin L. , McDade, Eric , Morris, John C. , He, Chloe , Mielke, Michelle M. , Sato, Chihiro , Schindler, Suzanne E.

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S5 | Pages: No page available

10.1002/alz.050711 Get It

AbstractBackgroundRecent advances in the development of novel Alzheimer’s disease (AD) measures of amyloid, tau, and neurodegeneration in cerebrospinal fluid (CSF) and blood have enabled a better understanding of the links between amyloid‐beta (Aβ), tau species and neurodegeneration in the brain, CSF, and blood. The discoveries of novel tau species in CSF and blood, including specific phospho‐tau (p‐tau) and truncated species containing the microtubule binding region of tau (MTBR‐tau) which aggregates in tau tangles, have greatly expanded our understanding of tau biology and tau target development. The longitudinal Aβ, tau, and neurofilament light chain (NfL) changes previously measured in CSF are now being measured accurately in blood, enabling interpretation and understanding of AD progression in much larger and more robust populations.MethodWe analyzed longitudinal CSF and/or blood plasma mass spectrometry measures of Aβ42/Aβ40, multiple p‐tau species (including p‐tau217, 231, 181, 205, etc.), total tau, MTBR‐tau (e.g., MTBR‐tau243, MTBR‐tau299, and MTBR‐tau354), and NfL in sporadic AD and dominantly inherited AD cohorts. Mass spectrometry results were compared to amyloid and tau aggregation measures by Positron Emission Tomography (PET) scans and clinical and cognitive measures in local and international clinical cohorts including ADNI, AIBL, BioFINDER, Mayo Clinic, the Knight ADRC, and the DIAN.ResultThe longitudinal results indicate that a pathophysiological cascade of events begin with altered CSF and blood plasma Aβ42/Aβ40 ratio, followed by increases in amyloid plaques as measured by amyloid PET, associated with increased phosphorylation of specific CSF tau species (e.g., p‐tau217, p‐tau181, etc.), before increases in p‐tau205, NfL, total tau concentrations, hypometabolism, and atrophy. Finally, some species of MTBR‐tau increase before or with tau aggregation by tau PET and onset of clinical symptoms and correlate with longitudinal tau aggregation and clinical progression.ConclusionThese findings indicate that CSF and blood plasma Aβ, p‐tau, MTBR‐tau and NfL measures are highly precise biomarkers of brain amyloidosis, tauopathy, and neurodegeneration and can accurately identify stages of preclinical and clinical AD.
Characterization of amyloid‐related imaging abnormality in the DIAN‐TU‐001 trial
Hofmann, Carsten, Wang, Guoqiao , Chen, Charles D., Gauthier, Serge , Holdridge, Karen C. , Klein, Gregory , Mummery, Catherine J. , Preboske, Gregory M., Santacruz, Anna , Yaari, R. , Salloway, Stephen , Clifford, David B., Unit, Dominantly Inherited Alzheimer Network Trials, Joseph‐Mathurin, Nelly , Llibre‐Guerra, Jorge J. , McCullough, Austin , Li, Yan , Wojtowicz, Jakub , Wang, Qing , Gordon, Brian A. , Brooks, William S. , Hsiung, Ging‐Yuek Robin , Jack, Clifford R. , Masellis, Mario , Wallon, David , Xiong, Chengjie , McDade, Eric , Bateman, Randall J. , Benzinger, Tammie L.S. , Unit, Dominantly Inherited Alzheimer Network Trials

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S1 | Pages: No page available

10.1002/alz.056393 Get It

AbstractBackgroundAmyloid‐related imaging abnormalities (ARIA), edema (E) or hemorrhagic (H) type, have been reported in trials of anti‐β‐amyloid passive immunotherapies in sporadic and dominantly inherited Alzheimer Disease (DIAD). However, beyond APOE‐ɛ4 the risk factors and clinical implications of ARIA are not well understood, especially in DIAD populations. Here we characterize ARIA, focusing on ARIA‐E in the DIAN‐TU‐001 trial evaluating gantenerumab and solanezumab in DIAD.MethodThe DIAN‐TU‐001 trial enrolled 194 participants, including 144 DIAD mutation‐carriers receiving gantenerumab (n=52), solanezumab (n=52), or a placebo (n=40). Clinical assessments included the Clinical Dementia Rating (CDR). Imaging assessments included PiB‐PET and safety MR, including T2‐FLAIR and T2*‐GRE. Treatment dosage and APOE‐ɛ4 status were also reported.ResultEleven participants developed a total of 14 ARIA‐E episodes (discovered on scheduled safety MR) and three had associated mild symptoms reported in retrospect (e.g. headache, imbalance disorder). Though one ARIA‐E case was observed in the solanezumab arm, the following results focus on the gantenerumab arm to prevent unblinding. Recipients of gantenerumab were more likely to develop ARIA‐E compared to placebo (odds ratio (OR)=9.29, 95% confidence interval (CI)=[1.1,75.9], p‐value<0.05). ARIA‐E participants were PiB‐PET+ and 60% were CDR>0. APOE‐ɛ4 tends to be associated with risk for developing ARIA‐E (OR=5.0, 95%CI=[1.0,30.4], p‐value=0.055). ARIA‐E were not observed at initial 225mg dose and were first observed after a titration step (within 4‐24 weeks, after 1‐6 injections, Table 1). Time‐to‐resolution of ARIA‐E was 10.4±6.2weeks. Seven of ten ARIA‐E patients paused/reduced dose escalation and three discontinued treatment. Overall, developing ARIA‐E did not increase the odds of trial discontinuation (OR=1.57, 95%CI=[0.34,7.33], p‐value=0.57). ARIA‐E occurred primarily in the occipital lobe (71%) with associated incident ARIA‐H (microhemorrhages or superficial siderosis) in 60% of ARIA‐E participants. ARIA‐E size was associated with microhemorrhage count (Spearman’s rho=0.72, p‐value<0.05), rate of change (rho=0.78, p‐value<0.01), and baseline PiB‐PET (rho=0.68, p‐value<0.05). Normalizing by baseline, PiB‐PET decreased similarly in ARIA‐E+ (‐0.21±0.20) and ARIA‐E‐ (‐0.16±0.20) participants.ConclusionIn DIAD, gantenerumab dose over 225mg increased ARIA‐E risk, possibly more for APOE‐ɛ4 carriers. ARIA‐E was reversible, generally asymptomatic, and without increased odds of trial discontinuation. These aspects of drug response give insights for managing ARIA‐E occurrence in future trials.
Pattern and degree of individual brain atrophy predicts dementia onset in dominantly inherited Alzheimer's disease
Keret, Ophir , Staffaroni, Adam M. , Ringman, John M. , Goh, Sheng‐Yang M., Wolf, Amy , Allen, Isabel Elaine , Salloway, Stephen , Chhatwal, Jasmeer P. , Reyes‐Dumeyer, Dolly , Bateman, Randall J. , Morris, John C. , Joseph‐Mathurin, Nelly , Perrin, Richard J. , Gordon, Brian A. , Xiong, Chengjie , Vöglein, Jonathan , Fougère, Christian la , Martins, Ralph N. , Sohrabi, Hamid R. , Taddei, Kevin , Villemagne, Victor L. , Fulham, Michael , Masters, Colin L. , Saykin, Andrew J. , Graff‐Radford, Neill R. , Weiner, Michael W. , Cash, David M. , Chrem, Patricio, Rabinovici, Gil D. , Rosen, Howard J. , Network, Dominantly Inherited Alzheimer, Gordon, Brian A , Saykin, Andrew J , Bateman, Randall J , Masters, Colin L , Vöglein, Jonathan , Joseph-Mathurin, Nelly , Xiong, Chengjie , Morris, John C , Cash, David M , Rabinovici, Gil D , Cobigo, Yann , Brickman, Adam M. , Benzinger, Tammie L.S. , Ances, Beau M. , Jucker, Mathias , Schofield, Peter R. , Brooks, William S. , Ghetti, Bernardino , Jack, Clifford R. , Allegri, Ricardo , Su, Yi , Miller, Bruce L. , Network, Dominantly Inherited Alzheimer

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | July 5, 2021 | Volume: 13 | Issue: 1 | Pages: No page available

10.1002/dad2.12197 Get It

Abstract Introduction Asymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD‐MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD‐MC and could help predict risk for dementia during trial enrollment. Methods We created a dementia risk score by entering standardized gray‐matter volumes from 231 DIAD‐MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD‐MC followed longitudinally. Results Our risk score separated asymptomatic versus demented DIAD‐MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%–98.2%]) and improved prediction beyond established methods based on familial age of onset. Discussion Individualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD‐MC participants for prevention trials.
Segregation of functional networks is associated with cognitive resilience in Alzheimer’s disease
Ewers, Michael , Luan, Ying , Frontzkowski, Lukas , Rubinski, Anna , Dichgans, Martin , Hassenstab, Jason , Gordon, Brian A. , Chhatwal, Jasmeer P. , Xiong, Chengjie , Morris, John C. , Goate, Alison , Fagan, Anne M. , Berman, Sarah , Chui, Helena C., Cruchaga, Carlos , Farlow, Marty, Graff‐Radford, Neill R. , Martins, Ralph N. , Mori, Hiroshi , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , O’Connor, Antoinette , Salloway, Stephen , Danek, Adrian , Büerger, Katharina , Bateman, Randall J. , Habeck, Christian , Network, for the Alzheimer’s Disease Neuroimaging Initiative and the Dominantly Inherited Alzheimer, Vöglein, Jonathan , Gordon, Brian A , O'Connor, Antoinette , Stern, Yaakov , Franzmeier, Nicolai , Dichgans, Martin , Cruchaga, Carlos , Bateman, Randall J , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Neitzel, Julia , Schofield, Peter R. , Benzinger, Tammie L.S. , Karch, Celeste M. , McDade, Eric , Allegri, Ricardo , Chui, Helena C. , Jucker, Mathias , Lee, Jae‐Hong , Rossor, Martin N. , Stern, Yaakov , Franzmeier, Nicolai , Network, for the Alzheimer’s Disease Neuroimaging Initiative and the Dominantly Inherited Alzheimer

Brain | March 12, 2021 | Volume: 144 | Issue: 7 | Pages: 2176-2185

10.1093/brain/awab112 Get It

Abstract Cognitive resilience is an important modulating factor of cognitive decline in Alzheimer’s disease, but the functional brain mechanisms that support cognitive resilience remain elusive. Given previous findings in normal ageing, we tested the hypothesis that higher segregation of the brain’s connectome into distinct functional networks represents a functional mechanism underlying cognitive resilience in Alzheimer’s disease. Using resting-state functional MRI, we assessed both resting-state functional MRI global system segregation, i.e. the balance of between-network to within-network connectivity, and the alternate index of modularity Q as predictors of cognitive resilience. We performed all analyses in two independent samples for validation: (i) 108 individuals with autosomal dominantly inherited Alzheimer’s disease and 71 non-carrier controls; and (ii) 156 amyloid-PET-positive subjects across the spectrum of sporadic Alzheimer’s disease and 184 amyloid-negative controls. In the autosomal dominant Alzheimer’s disease sample, disease severity was assessed by estimated years from symptom onset. In the sporadic Alzheimer’s sample, disease stage was assessed by temporal lobe tau-PET (i.e. composite across Braak stage I and III regions). In both samples, we tested whether the effect of disease severity on cognition was attenuated at higher levels of functional network segregation. For autosomal dominant Alzheimer’s disease, we found higher functional MRI-assessed system segregation to be associated with an attenuated effect of estimated years from symptom onset on global cognition (P = 0.007). Similarly, for patients with sporadic Alzheimer’s disease, higher functional MRI-assessed system segregation was associated with less decrement in global cognition (P = 0.001) and episodic memory (P = 0.004) per unit increase of temporal lobe tau-PET. Confirmatory analyses using the alternate index of modularity Q revealed consistent results. In conclusion, higher segregation of functional connections into distinct large-scale networks supports cognitive resilience in Alzheimer’s disease.
Modeling autosomal dominant Alzheimer's disease with machine learning
Luckett, Patrick H. , McCullough, Austin , Gordon, Brian A. , Strain, Jeremy F. , Flores, Shaney , Dincer, Aylin , Kuffner, Todd A. , Stern, Ari, Meeker, Karin L. , Berman, Sarah , Chhatwal, Jasmeer P. , Cruchaga, Carlos , Fagan, Anne M. , Farlow, Martin R. , Fox, Nick C. , Xiong, Chengjie , Masters, Colin L. , Mori, Hiroshi , Noble, James M. , Salloway, Stephen , Cash, David M. , Fulham, Michael , Jack, Clifford R. , Vöglein, Jonathan , Klunk, William E. , Oh, Hwamee , Swisher, Laura, Marcus, Daniel S. , Koudelis, Deborah, Joseph‐Mathurin, Nelly , Cash, Lisa, Hornbeck, Russ C. , Perrin, Richard J. , Hassenstab, Jason , Morris, John C. , Bateman, Randall J. , (DIAN), for the Dominantly Inherited Alzheimer Network, Wang, Qing , Cruchaga, Carlos , Jack, Clifford R , Gordon, Brian A , Bateman, Randall J , Masters, Colin L , Vöglein, Jonathan , Joseph-Mathurin, Nelly , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Cash, David M , Berman, Sarah , McCarthy, John Edward , Jucker, Mathias , Schofield, Peter R. , Brickman, Adam M. , Brooks, William S. , Ghetti, Bernardino , Koeppe, Robert A. , Su, Yi , Weiner, Michael W. , Wáng, Qīng , Xiong, Chengjie , Karch, Celeste M. , McDade, Eric , Benzinger, Tammie L.S. , Ances, Beau M. , (DIAN), for the Dominantly Inherited Alzheimer Network, Noble, James M

Alzheimer's & Dementia | January 21, 2021 | Volume: 17 | Issue: 6 | Pages: 1005-1016

10.1002/alz.12259 Get It

AbstractIntroductionMachine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer's disease.MethodsLongitudinal structural magnetic resonance imaging, amyloid positron emission tomography (PET), and fluorodeoxyglucose PET were acquired in 131 mutation carriers and 74 non‐carriers from the Dominantly Inherited Alzheimer Network; the groups were matched for age, education, sex, and apolipoprotein ε4 (APOE ε4). A deep neural network was trained to predict disease progression for each modality. Relief algorithms identified the strongest predictors of mutation status.ResultsThe Relief algorithm identified the caudate, cingulate, and precuneus as the strongest predictors among all modalities. The model yielded accurate results for predicting future Pittsburgh compound B (R2 = 0.95), fluorodeoxyglucose (R2 = 0.93), and atrophy (R2 = 0.95) in mutation carriers compared to non‐carriers.DiscussionResults suggest a sigmoidal trajectory for amyloid, a biphasic response for metabolism, and a gradual decrease in volume, with disease progression primarily in subcortical, middle frontal, and posterior parietal regions.
Flortaucipir (tau) PET in LGI1 antibody encephalitis
Day, Gregory S. , Gordon, Brian A. , McCullough, Austin , Bucelli, Robert C. , Perrin, Richard J. , Gordon, Brian A , Day, Gregory S , Benzinger, Tammie L.S. , Ances, Beau M.

Annals of Clinical and Translational Neurology | January 10, 2021 | Volume: 8 | Issue: 2 | Pages: 491-497

10.1002/acn3.51297 Get It

AbstractThe contributors to persistent cognitive impairment and hippocampal atrophy in leucine‐rich glioma‐inactivated 1 antibody encephalitis (LGI1) patients are unknown. We evaluated whether tau neuropathology measured with [18F]flortaucipir PET neuroimaging associated with persistent cognitive impairment and hippocampal atrophy in four recovering LGI1 patients (3 men; median age, 67 [37–88] years). Imaging findings in cases were compared with those observed in age‐ and gender‐similar cognitively normal individuals (n = 124) and individuals with early‐symptomatic Alzheimer disease (n = 11). Elevated [18F]flortaucipir retention was observed in the two LGI1 patients with hippocampal atrophy and persistent cognitive impairment, including one with autopsy‐confirmed Alzheimer disease. Tau neuropathology may associate with cognitive complaints and hippocampal atrophy in recovering LGI1 patients.
Overview of dominantly inherited AD and top‐line DIAN‐TU results of solanezumab and gantenerumab
Clifford, David B., Coalier, Kelley A., Fagan, Anne M. , Farlow, Martin R. , Mills, Susan , Salloway, Stephen , Santacruz, Anna , Wang, Guoqiao , Snider, B. Joy, Mummery, Catherine J. , Surti, Ghulam M., Hannequin, Didier , Jiménez‐Velázquez, Ivonne Z. , Dyck, Christopher H. van , Gauthier, Serge , Galasko, Doug, Jayadev, Suman , Formaglio, Maïté, Clarnette, Roger, Pariente, Jérémie , Dubois, Bruno, Andersen, Scott W. , Holdridge, Karen C. , Mintun, Mark A., Sims, John R. , Yaari, R. , Baudler, Monika, Doody, Rachelle S., Fontoura, Paulo , Kerchner, Geoffrey A. , Team, DIAN‐TU Study, Bateman, Randall J. , Aschenbrenner, Andrew J. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Goate, Alison , Gordon, Brian A. , Hassenstab, Jason , Jack, Clifford R. , Koeppe, Robert A. , McDade, Eric , Morris, John C. , Snyder, Peter J. , Xiong, Chengjie , Wallon, David , Berman, Sarah , Lah, James J. , Roberson, Erik D. , Honig, Lawrence S. , Sánchez‐Valle, Raquel , Brooks, William S. , Masters, Colin L. , Brosch, Jared R. , Hsiung, Ging‐Yuek Robin , Masellis, Mario , Dubois, Bruno, Pasquier, Florence , Delmar, Paul , Team, DIAN‐TU Study

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S9 | Pages: No page available

10.1002/alz.041129 Get It

AbstractBackgroundAlzheimer’s disease (AD) prevention trials aim to intervene prior to significant neuronal loss, brain damage, and symptom onset to delay or slow cognitive decline. In dominantly inherited AD (DIAD), mutation carriers develop symptomatic AD at predictable ages with near 100% penetrance. In 2012, the Dominantly Inherited Alzheimer Network Trials Unit Adaptive Prevention Trial (DIAN‐TU APT) platform launched a double‐blind, randomized, placebo‐controlled, parallel group trial of two anti‐amyloid‐beta monoclonal antibodies with two different antigenic targets, gantenerumab and solanezumab (NCT01760005). The DIAN‐TU scientific development, implementation of the first AD prevention trial, trial challenges and opportunities, including dose escalation, and top‐line results will be presented.MethodDIAN was established in 2008 in response to a call from the National Institute of Aging to establish a network to study DIAD and enable future clinical trials. Successive breakthroughs in understanding disease processes enabled the launch of the DIAN‐TU adaptive prevention trial, a global adaptive platform trial supporting testing multiple drugs in parallel. The DIAN‐TU partners include patients and families at risk for DIAD, global academic researchers, the NIH, Alzheimer’s Association, philanthropic supporters, the DIAN‐TU Pharma Consortium, and pharmaceutical companies with drugs being tested. Important milestones include developing a platform to enable a comprehensive efficient treatment trial for this rare population, adding tau PET as part of AMP AD, adapting dosing mid‐trial and extending the original biomarker trial to continue randomized dosing to test a cognitive endpoint until the last patient reaches 4 years, developing a disease progression statistical model and inclusion of DIAN observational data to increase the power to determine drug effects.ResultThe primary and key secondary outcomes of the DIAN‐TU trial will be presented for each therapy in the context of targeting amyloid‐beta at pre‐clinical and clinically symptomatic stages of disease.ConclusionThese results inform about AD hypotheses, timing of treatment and the prospect of slowing, or preventing AD in DIAD and sporadic AD.
Gantenerumab in‐depth outcomes
Salloway, Stephen , Clifford, David B., Coalier, Kelley A., Fagan, Anne M. , Farlow, Martin R. , Mills, Susan , Santacruz, Anna , Wang, Guoqiao , Snider, B. Joy, Mummery, Catherine J. , Surti, Ghulam M., Hannequin, Didier , Jiménez‐Velázquez, Ivonne Z. , Dyck, Christopher H. van , Gauthier, Serge , Galasko, Doug, Jayadev, Suman , Formaglio, Maïté, Clarnette, Roger, Pariente, Jérémie , Dubois, Bruno, Baudler, Monika, Doody, Rachelle S., Fontoura, Paulo , Kerchner, Geoffrey A. , Team, DIAN‐TU Study, Bateman, Randall J. , Aschenbrenner, Andrew J. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Goate, Alison , Gordon, Brian A. , Hassenstab, Jason , Jack, Clifford R. , Koeppe, Robert A. , McDade, Eric , Morris, John C. , Snyder, Peter J. , Xiong, Chengjie , Wallon, David , Berman, Sarah , Lah, James J. , Roberson, Erik D. , Honig, Lawrence S. , Sánchez‐Valle, Raquel , Brooks, William S. , Masters, Colin L. , Brosch, Jared R. , Hsiung, Ging‐Yuek Robin , Masellis, Mario , Dubois, Bruno, Pasquier, Florence , Delmar, Paul , Team, DIAN‐TU Study

Alzheimer's & Dementia | December 7, 2020 | Volume: 16 | Issue: S9 | Pages: No page available

10.1002/alz.038049 Get It

AbstractBackgroundGantenerumab is a humanized anti‐amyloid‐beta monoclonal antibody in clinical development for the treatment of several stages of Alzheimer disease (AD). Gantenerumab was evaluated in a phase 2/3 clinical trial program designed to evaluate its efficacy in autosomal dominant AD based on a combination of clinical and biomarker evidence.MethodThe study enrolled both mutation carriers (n=69 with 3:1 randomization of treatment (n=52) vs placebo (n=17)) and non‐carriers (n=28, all on placebo) from 15 years before to 10 years after the expected age of onset inclusive. Patients were both asymptomatic (CDR 0 and MMSE >25) and symptomatic (CDR 0.5‐1 and MMSE >16). There were 41 asymptomatic and 28 symptomatic mutation carriers. The initial dose of gantenerumab was 225 mg monthly administered subcutaneously. The dose was titrated to 1200 mg/month following a protocol amendment based on the increased amyloid lowering seen at higher doses in the gantenerumab program in symptomatic AD. The treatment duration was a minimum of 4 years (range 48‐80 months). The primary outcome was change from baseline in the DIAN‐TU multivariate cognitive endpoint. Secondary clinical outcomes included the DIAN‐TU cognitive composite, Cogstate multivariate cognitive endpoint, CDR SB, and time to CDR progression of >0.5 points. Change from baseline in amyloid PET was the primary biomarker outcome. Other biomarker outcomes included MRI, tau PET, CSF amyloid, tau and phosphotau, and CSF and plasma neurofilament light (NfL). Safety outcomes including ARIA were compared between drug and placebo groups.ResultWe will report change from baseline on the DIAN‐TU multivariate cognitive endpoint, DIAN‐TU cognitive composite, CDR‐SB and other secondary efficacy endpoints. We expect significant lowering on amyloid PET with PIB and florbetapir based on the results from recent anti‐amyloid antibodies, including Gantenerumab, in sporadic AD. We will also present the results of change in other key imaging and fluid biomarkers. The frequency, duration, and severity of ARIA will be reported and compared with studies in sporadic AD.ConclusionThis clinical trial was designed to inform future for ADAD and will provide new insights on the role of amyloid reduction in both pre‐symptomatic and clinical AD.