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Salloway, Steve

0000-0002-2631-0942

Mayo Clinic

Brown University

Citations 15

Learning slopes in early‐onset Alzheimer's disease
Hammers, Dustin B. , Nemes, Sára , Diedrich, Taylor , Eloyan, Ani , Kirby, Kala, Aisen, Paul , Kramer, Joel H. , Foroud, Tatiana M., Rumbaugh, Malia, Day, Gregory S. , Duara, Ranjan , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steve , Sha, Sharon J. , Turner, Raymond Scott , Weıntraub, Sandra , Wingo, Thomas S. , Wong, Bonnie , Carrillo, María C. , Rabinovici, Gil D. , Apostolova, Liana G. , Day, Gregory S , Rabinovici, Gil D , Wingo, Thomas S , Hammers, Dustin B , Kirby, Kala, Nudelman, Kelly , Atri, Alireza , Duara, Ranjan , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | May 27, 2023 | Volume: 19 | Issue: S9 | Pages: No page available

10.1002/alz.13159 Get It

AbstractOBJECTIVEInvestigation of learning slopes in early‐onset dementias has been limited. The current study aimed to highlight the sensitivity of learning slopes to discriminate disease severity in cognitively normal participants and those diagnosed with early‐onset dementia with and without β‐amyloid positivityMETHODData from 310 participants in the Longitudinal Early‐Onset Alzheimer's Disease Study (aged 41 to 65) were used to calculate learning slope metrics. Learning slopes among diagnostic groups were compared, and the relationships of slopes with standard memory measures were determinedRESULTSWorse learning slopes were associated with more severe disease states, even after controlling for demographics, total learning, and cognitive severity. A particular metric—the learning ratio (LR)—outperformed other learning slope calculations across analysesCONCLUSIONSLearning slopes appear to be sensitive to early‐onset dementias, even when controlling for the effect of total learning and cognitive severity. The LR may be the learning measure of choice for such analyses.Highlights Learning is impaired in amyloid‐positive EOAD, beyond cognitive severity scores alone. Amyloid‐positive EOAD participants perform worse on learning slopes than amyloid‐negative participants. Learning ratio appears to be the learning metric of choice for EOAD participants.
Amyloid‐Related Imaging Abnormalities in the DIAN‐TU‐001 Trial of Gantenerumab and Solanezumab: Lessons from a Trial in Dominantly Inherited Alzheimer Disease
Joseph‐Mathurin, Nelly , Li, Yan , McCullough, Austin , Hofmann, Carsten, Wojtowicz, Jakub , Park, Ethan, Wang, Guoqiao , Preboske, Gregory M., Gordon, Brian A. , Chen, Charles D., Flores, Shaney , Aggarwal, Neelum T. , Berman, Sarah , Bird, Thomas D., Borowski, Bret, Chhatwal, Jasmeer P. , Clarnette, Roger, Fagan, Anne M. , Farlow, Martin R. , Fox, Nick C. , Gauthier, Serge , Hassenstab, Jason , Hobbs, Diana A. , Holdridge, Karen C. , Hornbeck, Russ C. , Jiménez‐Velázquez, Ivonne Z. , Klein, Gregory , Xiong, Chengjie , Mancini, Michele , McKay, Nicole S. , Mummery, Catherine J. , Ringman, John M. , Snider, B. Joy, Suzuki, Kazushi , Yaari, R. , Perrin, Richard J. , Bateman, Randall J. , Salloway, Stephen , Clifford, David B., Unit, For the Dominantly Inherited Alzheimer Network Trials, Wang, Qing , Gordon, Brian A , Chen, Charles D , Jucker, Mathias , Ringman, John M , Salloway, Steve , Benzinger, Tammie L S , Bateman, Randall J , Joseph-Mathurin, Nelly , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Berman, Sarah , Llibre‐Guerra, Jorge J. , Li, Yan, Wáng, Qīng , Black, Sandra E. , Brooks, William S. , Cruchaga, Carlos , Honig, Lawrence S. , Hsiung, Ging‐Yuek Robin , Jack, Clifford R. , Masellis, Mario , Shimada, Hiroyuki , Wallon, David , Xiong, Chengjie , McDade, Eric , Benzinger, Tammie L.S. , Unit, For the Dominantly Inherited Alzheimer Network Trials

Annals of Neurology | September 24, 2022 | Volume: 92 | Issue: 5 | Pages: 729-744

10.1002/ana.26511 Get It

ObjectiveTo determine the characteristics of participants with amyloid‐related imaging abnormalities (ARIA) in a trial of gantenerumab or solanezumab in dominantly inherited Alzheimer disease (DIAD).Methods142 DIAD mutation carriers received either gantenerumab SC (n = 52), solanezumab IV (n = 50), or placebo (n = 40). Participants underwent assessments with the Clinical Dementia Rating® (CDR®), neuropsychological testing, CSF biomarkers, β‐amyloid positron emission tomography (PET), and magnetic resonance imaging (MRI) to monitor ARIA. Cross‐sectional and longitudinal analyses evaluated potential ARIA‐related risk factors.ResultsEleven participants developed ARIA‐E, including 3 with mild symptoms. No ARIA‐E was reported under solanezumab while gantenerumab was associated with ARIA‐E compared to placebo (odds ratio [OR] = 9.1, confidence interval [CI][1.2, 412.3]; p = 0.021). Under gantenerumab, APOE‐ɛ4 carriers were more likely to develop ARIA‐E (OR = 5.0, CI[1.0, 30.4]; p = 0.055), as were individuals with microhemorrhage at baseline (OR = 13.7, CI[1.2, 163.2]; p = 0.039). No ARIA‐E was observed at the initial 225 mg/month gantenerumab dose, and most cases were observed at doses >675 mg. At first ARIA‐E occurrence, all ARIA‐E participants were amyloid‐PET+, 60% were CDR >0, 60% were past their estimated year to symptom onset, and 60% had also incident ARIA‐H. Most ARIA‐E radiologically resolved after dose adjustment and developing ARIA‐E did not significantly increase odds of trial discontinuation. ARIA‐E was more frequently observed in the occipital lobe (90%). ARIA‐E severity was associated with age at time of ARIA‐E.InterpretationIn DIAD, solanezumab was not associated with ARIA. Gantenerumab dose over 225 mg increased ARIA‐E risk, with additional risk for individuals APOE‐ɛ4(+) or with microhemorrhage. ARIA‐E was reversible on MRI in most cases, generally asymptomatic, without additional risk for trial discontinuation. ANN NEUROL 2022;92:729–744
The Longitudinal Early‐onset Alzheimer's Disease Study (LEADS): Framework and methodology
Apostolova, Liana G. , Aisen, Paul , Eloyan, Ani , Fagan, Anne M. , Fargo, Keith N. , Gatsonis, Constantine , Grinberg, Lea T. , Jack, Clifford R. , Kramer, Joel H. , Kukull, Walter A. , Murray, Melissa E. , Nudelman, Kelly , Rumbaugh, Malia, Vemuri, Prashanthi , Trullinger, Amy, Iaccarino, Leonardo , Day, Gregory S. , Graff‐Radford, Neill R. , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Rogalskı, Emily , Salloway, Steve , Wingo, Thomas S. , Carrillo, María C. , Rabinovici, Gil D. , Jack, Clifford R , Vemuri, Prashanthi , Day, Gregory S , Murray, Melissa E , Grinberg, Lea , Rabinovici, Gil D , Nudelman, Kelly N , Wingo, Thomas S , Foroud, Tatiana , Koeppe, Robert A. , Toga, Arthur W. , Honig, Lawrence S. , Jones, David T. , Masdeu, Joseph C , Musiek, Erik , Wolk, David A. , Dickerson, Bradford Clark

Alzheimer's & Dementia | May 21, 2021 | Volume: 17 | Issue: 12 | Pages: 2043-2055

10.1002/alz.12350 Get It

AbstractPatients with early‐onset Alzheimer's disease (EOAD) are commonly excluded from large‐scale observational and therapeutic studies due to their young age, atypical presentation, or absence of pathogenic mutations. The goals of the Longitudinal EOAD Study (LEADS) are to (1) define the clinical, imaging, and fluid biomarker characteristics of EOAD; (2) develop sensitive cognitive and biomarker measures for future clinical and research use; and (3) establish a trial‐ready network. LEADS will follow 400 amyloid beta (Aβ)‐positive EOAD, 200 Aβ‐negative EOnonAD that meet National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) or AD dementia, and 100 age‐matched controls. Participants will undergo clinical and cognitive assessments, magnetic resonance imaging (MRI), [18F]Florbetaben and [18F]Flortaucipir positron emission tomography (PET), lumbar puncture, and blood draw for DNA, RNA, plasma, serum and peripheral blood mononuclear cells, and post‐mortem assessment. To develop more effective AD treatments, scientists need to understand the genetic, biological, and clinical processes involved in EOAD. LEADS will develop a public resource that will enable future planning and implementation of EOAD clinical trials.