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Massoumzadeh, Parinaz

https://orcid.org/0000-0001-7510-7273

Mayo Clinic

Washington University in St. Louis

Citations 7

Cortical asymmetry in autosomal dominant Alzheimer’s disease progression
Pérez-Millan, Agnès , Falgàs, Neus , Borrego-Écija, Sergi, Antonell, Anna, Fernández-Villullas, Guadalupe, Esteller-Gauxax, Diana, Tort-Merino, Adrià, Bargalló, Núria, Balasa, Mircea, Lladó, Albert, Chrem, Patricio, Day, Gregory S. , Devenney, Emma , Huey, Edward D. , Ikeuchi, Takeshi, Jucker, Mathias, Roh, Jee Hoon , Vitali, Paolo , Ortíz, Ana Luisa Sosa, Llibre-Guerra, Jorge J, Gordon, Brian A., Sánchez-Valle, Raquel, (DIAN), The Dominantly Inherited Alzheimer Network, Daniels, Alisha , Courtney, Laura, Ziegemeier, Angela, Skrbec, Karina, Hellm, Cortaiga, Martin, Mariana , Ziegemeier, Ellen , Bartzel, Jamie, Xiong, Chengie , Xu, Xiong, Lu, Ruijin, Li, Yan , Nie, Yuzheng , Gremminger, Emily, Perrin, Richard J. , Franklin, Erin , Ibanez, Laura, Jerome, Gina, Stauber, Jennifer, Baker, Bryce, Minton, Matthew, Cruchaga, Carlos C, Goate, Alison M, Renton, Alan E, Picarello, Danielle M. , Benzinger, Tammie L S, Hornbeck, Russ C. , Chen, Allison, Chen, Charles D., Flores, Shaney, Joseph-Mathurin, Nelly, Jackson, Kelley, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Wang, Qing, Sabaredzovic, Edita, Scott, Jalen , Simmons, Ashlee, Rizzo, Jacqueline, Vlassenko, Andrei G. , Wang, Yong, Hassenstab, Jason, Smith, Jennifer, Stout, Sarah, Marsh, Jacob, Morris, John C, Barthélemy, Nicolas R. , Xu, Jinbin , Ikonomović, Snežana, Graff-Radford, Neill R, Farlow, Martin R. , Chhatwal, Jasmeer P. , Maa, Courtney, Ishiguro, Takanobu , Ishii, Kenji, Senda, Michio, Salloway, Stephen , Bechara, Jacob A, Martins, Ralph, Fox, Nick C, Ryan, Natalie S. , Laske, Christoph , Timofejavaite, Reda, Kuder-Buletta, Elke, Graber-Sultan, Susanne, Obermueller, Ulrike, Xiong, Chengjie , Rödenbeck, Yvonne, Vӧglein, Jonathan, Méndez, Patricio Chrem, Vazquez, Silvia, Leon, Yudy Milena, Ramirez, Laura, Baena, Ana , Bocanegra, Yamile , Levey, Allan, Johnson, Erik C B, Seyfried, Nicholas T. , Ringman, John M. , Fagan, Anne M. , Mori, Hiroshi, Lopera, Francisco , Goate, Alison , Hassenstab, Jason , Borrego‐Écija, Sergi , Pérez‐Millan, Agnès , Ikeuchi, T , Vöglein, Jonathan , Roh, Jee Hoon , Vitali, Paolo , Gordon, Brian A , Bateman, Randall J , Sánchez-Valle, Raquel , Day, Gregory S , Xiong, Chengjie , Hassenstab, Jason , Borrego-Écija, Sergi , Goate, Alison M , Bosch, Beatríz , Antonell, Anna, Fernández‐Villullas, Guadalupe , Esteller, Diana , Tort‐Merino, Adrià , Balasa, Mircea , Lladó, Albert , Aguillon, David , Ikeuchi, Takeshi , Jucker, Mathias , Kasuga, Kensaku , Vöglein, Jonathan , Llibre‐Guerra, Jorge J. , Gordon, Brian A. , McDade, Eric , Bateman, Randall J. , Sánchez‐Valle, Raquel , Supnet, Charlene , Lu, Ruijin, Wang, Guoqiao , Ibanez, Laura , Cruchaga, Carlos , Fulton‐Howard, Brian , Banks, Jessica N , Flores, Shaney , Goyal, Manu S. , Hobbs, Diana A. , Joseph‐Mathurin, Nelly , McCullough, Austin , McKay, Nicole S. , Wang, Yong , Smith, Jennifer, Stout, Sarah H., Aschenbrenner, Andrew J. , Karch, Celeste M. , Marsh, Jacob A. , Holtzman, David M. , Berman, Sarah , Graff‐Radford, Neill R. , Senda, Michio , Niimi, Yoshiki , Schofield, Peter R. , Brooks, William S. , Bechara, Jacob , Cash, David M. , Laske, Christoph , Fougère, Christian la , Reischl, Gerald , Lee, Jae Hong , Allegri, Ricardo , Surace, Ezequiel , Vazquez, Silvia, Ramírez, Laura, Serna, Laura, Johnson, Erik C. B. , Masters, Colin L. , Noble, James M. , Lopera, Francisco Javier

Brain Communications | December 18, 2025 | Volume: 8 | Issue: 1 | Pages: No page available

10.1093/braincomms/fcaf488 Get It

Abstract The cortical asymmetry index evaluates the cortical thickness asymmetry between hemispheres. We investigated cortical asymmetry index in asymptomatic and symptomatic mutation carriers of autosomal dominant Alzheimer’s disease to explore the brain asymmetry within the Alzheimer’s disease continuum. Sixty baseline T1-weighted MRI scans were obtained from the Clinic Barcelona cohort. Baseline and longitudinal MRI data from 564 participants within the dominantly inherited Alzheimer network observational study were used as an independent, confirmatory cohort. Cerebrospinal fluid and plasma neurofilament light chain levels were included when available. Cortical thickness was calculated using Freesurfer and cortical asymmetry index was calculated via an open-source pipeline. Cross-sectional analyses examined cortical asymmetry index differences based on clinical classification and APOE ε4 status, adjusting for age, sex and estimated years from onset, while correlations were assessed with age, estimated years from onset, mini-mental state examination scores, and neurofilament light. Longitudinal cortical asymmetry index evolution was modelled using generalized additive models in the dominantly inherited Alzheimer network observational study cohort, incorporating age, sex, and the interaction between group and estimated years from onset. The cortical asymmetry index successfully distinguished asymptomatic mutation carrier and symptomatic mutation carriers from healthy controls in the Clinic Barcelona cohort and symptomatic mutation carriers from controls in dominantly inherited Alzheimer network observational study. Higher cortical asymmetry index in mutation carriers (asymptomatic mutation carrier and symptomatic mutation carriers combined) and in symptomatic mutation carriers were associated with higher plasma neurofilament light levels, a closer proximity to symptom onset, and lower mini-mental state examination in the Clinic Barcelona cohort. In the dominantly inherited Alzheimer network observational study cohort, mutation carriers exhibited increased cortical asymmetry index compared to controls and correlated with elevated neurofilament light (plasma and Cerebrospinal fluid), lower mini-mental state examination, and a closer proximity to symptom onset. APOE3/3 carriers showed greater asymmetry than other APOE genotypes and significant cortical asymmetry index differences between asymptomatic mutation carrier and symptomatic mutation carriers. Longitudinally, cortical asymmetry index increased over time significantly in symptomatic mutation carriers. These findings underscore brain asymmetry as a potential biomarker for early Alzheimer’s disease progression in autosomal dominant Alzheimer’s disease, with implications for detection and monitoring tracking disease-related neuroanatomical changes.
CSF proteomics related to the neurovascular unit are associated with white matter hyperintensity volumes and cerebral microhemorrhages in autosomal dominant Alzheimer disease
Shen, Yuanyuan , Chen, Charles D., Strain, Jeremy F. , Shirzadi, Zahra , Chen, Gengsheng , Massoumzadeh, Parinaz , Lu, Ruijin , Chhatwal, Jasmeer P. , Morris, John C., Perrin, Richard J. , Network, Dominantly Inherited Alzheimer, Joseph‐Mathurin, Nelly , Friedrichsen, Karl A. , McCullough, Austin , Gordon, Brian A. , Llibre‐Guerra, Jorge J. , Hassenstab, Jason , Ibanez, Laura , Schultz, Stephanie A. , Morris, John C. , An, Hongyu , Xiong, Chengjie , Klein, Robyn S. , Jack, Clifford R. , Bateman, Randall J. , McDade, Eric , Benzinger, Tammie L.S. , Cruchaga, Carlos

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.084578 Get It

AbstractBackgroundAutosomal dominant Alzheimer disease (ADAD) is characterized by genetic mutations affecting the beta‐amyloid (Aβ) pathway. However, vascular and immune factors play important roles which are not completely understood. Understanding the function of the neurovascular unit (NVU) comprised of neurons, glial cells, and vasculature, at different disease stages appears ideal to developing and evaluating therapeutics. Omics approaches can inform NVU changes and their disease associations.MethodsCSF proteomic data using the Somalogic® platform was generated from 485 participants in the DIAN study, who also had PiB‐PET and MRI assessing Aβ burden, white matter hyperintensity (WMH), and cerebral microhemorrhage (CMH). From previously published AD studies, we identified 33 NVU‐associated proteins with corresponding Somalogic aptamers (Figure 1). We used Principal Component Analysis (PCA) on participants with complete data (n=262, 166 mutation‐carriers and 96 non‐carriers) to find groups of proteins associated with mutation status and disease stage as measured with estimated year to symptom onset (EYO), PiB‐PET, and clinical status. Linear‐mixed effect models and two‐part zero‐inflated negative binomial mixed models further evaluated the link between significant principal components (PCs) and WMH and CMH, respectively. Models accounted for age, APOE‐e4 status, sex, and education.ResultsThe first ten PCs explained >60% of the variance in NVU‐related protein levels (Figure 2A) with only PC5 (4.8%) associated with mutation*EYO, suggesting relationship with ADAD‐specific disease progression (***p<0.0001, Figure 2B). While asymptomatic PiB‐negative individuals were not significantly different from non‐carriers, asymptomatic PiB‐positive individuals had higher PC5 scores than non‐carriers and symptomatic individuals scored still higher (**p<0.005, ***p<0.0001, Figure 2C). The main proteins composing PC5 were: neurofilament light‐chain, angiopoietin‐2, SMOC1, LRP1, E‐selectin, and sTREM2, suggesting strong association with proinflammatory glial response from neuronal injury (Figure 2D). PC5 was also associated with WMH volumes (*p<0.05, Figure 3A) and with CMH count in participants with CMH (**p<0.005, Figure 3B).ConclusionsThis PCA approach indicates that some groups of NVU‐associated proteins are related with mutation status and disease stage, and that they are differentially associated with features of ADAD such as white matter integrity as measured by WMH volume. Weighted Correlation Network Analysis will be of interest to further understand these associations.Funding: K01AG080123, RF1‐AG044546, UF1AG032438
CSF proteomics related to the neurovascular unit are associated with white matter hyperintensity volumes and cerebral microhemorrhages in autosomal dominant Alzheimer disease
Shen, Yuanyuan , Chen, Charles D., Strain, Jeremy F. , Shirzadi, Zahra , Chen, Gengsheng , Massoumzadeh, Parinaz , Lu, Ruijin , Chhatwal, Jasmeer P. , Perrin, Richard J. , Joseph‐Mathurin, Nelly , Friedrichsen, Karl A. , McCullough, Austin , Gordon, Brian A. , Llibre‐Guerra, Jorge J. , Hassenstab, Jason , Ibanez, Laura , Schultz, Stephanie A. , Morris, John C. , An, Hongyu , Xiong, Chengjie , Klein, Robyn S. , Jack, Clifford R. , Bateman, Randall J. , McDade, Eric , Benzinger, Tammie L.S. , Cruchaga, Carlos

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S9 | Pages: No page available

10.1002/alz.093619 Get It

AbstractBackgroundAutosomal dominant Alzheimer disease (ADAD) is characterized by genetic mutations affecting the beta‐amyloid (Aß) pathway. However, vascular and immune factors play important roles which are not completely understood. Understanding the function of the neurovascular unit (NVU) comprised of neurons, glial cells, and vasculature, at different disease stages appears ideal to developing and evaluating therapeutics. Omics approaches can inform NVU changes and their disease associations.MethodsCSF proteomic data using the Somalogic® platform was generated from 485 participants in the DIAN study, who also had PiB‐PET and MRI assessing Aß burden, white matter hyperintensity (WMH), and cerebral microhemorrhage (CMH). From previously published AD studies, we identified 33 NVU‐associated proteins with corresponding Somalogic aptamers (Figure 1). We used Principal Component Analysis (PCA) on participants with complete data (n = 262, 166 mutation‐carriers and 96 non‐carriers) to find groups of proteins associated with mutation status and disease stage as measured with estimated year to symptom onset (EYO), PiB‐PET, and clinical status. Linear‐mixed effect models and two‐part zero‐inflated negative binomial mixed models further evaluated the link between significant principal components (PCs) and WMH and CMH, respectively. Models accounted for age, APOE‐e4 status, sex, and education.ResultsThe first ten PCs explained >60% of the variance in NVU‐related protein levels (Figure 2A) with only PC5 (4.8%) associated with mutation*EYO, suggesting relationship with ADAD‐specific disease progression (***p<0.0001, Figure 2B). While asymptomatic PiB‐negative individuals were not significantly different from non‐carriers, asymptomatic PiB‐positive individuals had higher PC5 scores than non‐carriers and symptomatic individuals scored still higher (**p<0.005, ***p<0.0001, Figure 2C). The main proteins composing PC5 were: neurofilament light‐chain, angiopoietin‐2, SMOC1, LRP1, E‐selectin, and sTREM2, suggesting strong association with proinflammatory glial response from neuronal injury (Figure 2D). PC5 was also associated with WMH volumes (*p<0.05, Figure 3A) and with CMH count in participants with CMH (**p<0.005, Figure 3B).ConclusionsThis PCA approach indicates that some groups of NVU‐associated proteins are related with mutation status and disease stage, and that they are differentially associated with features of ADAD such as white matter integrity as measured by WMH volume. Weighted Correlation Network Analysis will be of interest to further understand these associations. Funding: K01AG080123, RF1‐AG044546, UF1AG032438
Downstream Biomarker Effects of Gantenerumab or Solanezumab in Dominantly Inherited Alzheimer Disease
Wagemann, Olivia , Shi, Xinyu , Bittner, Tobias , Scelsi, Marzia A. , Farlow, Martin R. , Clifford, David B. , Santacruz, Anna , Aschenbrenner, Andrew J. , Hassenstab, Jason , Gordon, Brian A. , Coalier, Kelley A., Perrin, Richard J., Xiong, Chengjie , Li, Yan , Morris, John C. , Lah, James J., Berman, Sarah , Roberson, Erik D. , Dyck, Christopher H. van, Gauthier, Serge , Pariente, Jérémie , Mummery, Catherine J. , Day, Gregory S. , Ringman, John M. , Méndez, Patricio Chrem, Fox, Nick C. , Okhravi, Hamid , Chhatwal, Jasmeer P. , Xiong, Chengjie , Sims, John R. , Holdridge, Karen C. , Proctor, Nicholas K. , Yaari, R. , Andersen, Scott W. , Mancini, Michele , Unit, Dominantly Inherited Alzheimer Network–Trials, Daniels, Alisha , Courtney, Laura, Lu, Ruijin , Gremminger, Emily, Franklin, Erin , Jerome, Gina, Herries, Elizabeth, Baker, Bryce, Minton, Matthew, Goate, Alison , Picarello, Danielle M. , Hornbeck, Russ C. , Chen, Allison , Chen, Charles D., Jarman, Steve, Jackson, Kelley, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Sabaredzovic, Edita, Smith, Hunter , Scott, Jalen , Simmons, Ashlee, Rizzo, Jacqueline, Barthélemy, Nicolas R. , Xu, Jinbin , Ikonomović, Snežana, Nadkarni, Neelesh K. , Graff‐Radford, Neill R. , Huey, Edward D. , Salloway, Stephen , Bechara, Jacob , Ryan, Natalie S. , Laske, Christoph , Hofmann, Anna, Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Obermueller, Ulrike, Roedenbeck, Yvonne, Sánchez‐Valle, Raquel , Vázquez, Silvia , Leon, Yudy Milena, Ramírez, Laura, Seyfried, Nicholas T. , Fagan, Anne M. , Mori, Hiroshi , Gordon, Brian A , Roberson, Erik , Sánchez-Valle, Raquel , Day, Gregory S , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Aschenbrenner, Andrew J , Goate, Alison M , Berman, Sarah , Liu, Haiyan , Wang, Guoqiao , Supnet, Charlene , Benzinger, Tammie L.S. , Cruchaga, Carlos , Ibanez, Laura , Li, Yan, Dyck, Christopher H. van , Galasko, Douglas , Hsiung, Ging‐Yuek Robin , Brooks, William S. , George‐Hyslop, Peter St , Suzuki, Kazushi , Jucker, Mathias , Mancini, Michele, Llibre‐Guerra, Jorge J. , Bateman, Randall J. , McDade, Eric , Unit, Dominantly Inherited Alzheimer Network–Trials, Xu, Xiong, Stauber, Jennifer, Renton, Alan , Flores, Shaney , Joseph‐Mathurin, Nelly , McCullough, Austin , McKay, Nicole S. , Wáng, Qīng , Smith, Jennifer A. , Stout, Sarah Holtz , Karch, Celeste M. , Marsh, Jacob A. , Holtzman, David M. , Noble, James M. , Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Schofield, Peter R. , Martins, Ralph N. , Cash, David M. , Vöglein, Jonathan , Lee, Jae‐Hong , Roh, Jee Hoon , Rosa-Neto, Pedro , Allegri, Ricardo , Surace, Ezequiel , Lopera, Francisco Javier , Aguillon, David , Levey, Allan I. , Johnson, Erik C. B. , Masters, Colin L.

JAMA Neurology | April 29, 2024 | Volume: 81 | Issue: 6 | Pages: 582

10.1001/jamaneurol.2024.0991 Get It

Importance Effects of antiamyloid agents, targeting either fibrillar or soluble monomeric amyloid peptides, on downstream biomarkers in cerebrospinal fluid (CSF) and plasma are largely unknown in dominantly inherited Alzheimer disease (DIAD). Objective To investigate longitudinal biomarker changes of synaptic dysfunction, neuroinflammation, and neurodegeneration in individuals with DIAD who are receiving antiamyloid treatment. Design, Setting, and Participants From 2012 to 2019, the Dominantly Inherited Alzheimer Network Trial Unit (DIAN-TU-001) study, a double-blind, placebo-controlled, randomized clinical trial, investigated gantenerumab and solanezumab in DIAD. Carriers of gene variants were assigned 3:1 to either drug or placebo. The present analysis was conducted from April to June 2023. DIAN-TU-001 spans 25 study sites in 7 countries. Biofluids and neuroimaging from carriers of DIAD gene variants in the gantenerumab, solanezumab, and placebo groups were analyzed. Interventions In 2016, initial dosing of gantenerumab, 225 mg (subcutaneously every 4 weeks) was increased every 8 weeks up to 1200 mg. In 2017, initial dosing of solanezumab, 400 mg (intravenously every 4 weeks) was increased up to 1600 mg every 4 weeks. Main Outcomes and Measures Longitudinal changes in CSF levels of neurogranin, soluble triggering receptor expressed on myeloid cells 2 (sTREM2), chitinase 3–like 1 protein (YKL-40), glial fibrillary acidic protein (GFAP), neurofilament light protein (NfL), and plasma levels of GFAP and NfL. Results Of 236 eligible participants screened, 43 were excluded. A total of 142 participants (mean [SD] age, 44 [10] years; 72 female [51%]) were included in the study (gantenerumab, 52 [37%]; solanezumab, 50 [35%]; placebo, 40 [28%]). Relative to placebo, gantenerumab significantly reduced CSF neurogranin level at year 4 (mean [SD] β = −242.43 [48.04] pg/mL; P &amp;lt; .001); reduced plasma GFAP level at year 1 (mean [SD] β = −0.02 [0.01] ng/mL; P = .02), year 2 (mean [SD] β = −0.03 [0.01] ng/mL; P = .002), and year 4 (mean [SD] β = −0.06 [0.02] ng/mL; P &amp;lt; .001); and increased CSF sTREM2 level at year 2 (mean [SD] β = 1.12 [0.43] ng/mL; P = .01) and year 4 (mean [SD] β = 1.06 [0.52] ng/mL; P = .04). Solanezumab significantly increased CSF NfL (log) at year 4 (mean [SD] β = 0.14 [0.06]; P = .02). Correlation analysis for rates of change found stronger correlations between CSF markers and fluid markers with Pittsburgh compound B positron emission tomography for solanezumab and placebo. Conclusions and Relevance This randomized clinical trial supports the importance of fibrillar amyloid reduction in multiple AD-related processes of neuroinflammation and neurodegeneration in CSF and plasma in DIAD. Additional studies of antiaggregated amyloid therapies in sporadic AD and DIAD are needed to determine the utility of nonamyloid biomarkers in determining disease modification. Trial Registration ClinicalTrials.gov Identifier: NCT04623242
Presenilin‐1 mutation position influences amyloidosis, small vessel disease, and dementia with disease stage
Joseph‐Mathurin, Nelly , Feldman, Rebecca L. , Lu, Ruijin , Shirzadi, Zahra , Toomer, Carmen, Clair, Junie R. Saint, Ma, Yinjiao , Strain, Jeremy F. , Kilgore, Collin , Chen, Charles D., Gordon, Brian A. , Chen, Gengsheng , Hornbeck, Russ C. , Massoumzadeh, Parinaz , Wang, Qing , Li, Yan , Wang, Guoqiao , Keefe, Sarah , Schultz, Stephanie A. , Preboske, Gregory M., Jack, Clifford R. , Ances, Beau M. , Berman, Sarah , Day, Gregory S. , Fox, Nick C. , Fulham, Michael , Ghetti, Bernardino , Johnson, Keith A. , Xiong, Chengjie , Oh, Hwamee , Perrin, Richard J. , Ringman, John M. , Saykin, Andrew J. , Supnet, Charlene , Vöglein, Jonathan , Yakushev, Igor , Morris, John C. , Chhatwal, Jasmeer P. , Network, for the Dominantly Inherited Alzheimer, Jack, Clifford R , Gordon, Brian A , Saykin, Andrew J , Day, Gregory S , Vöglein, Jonathan , Joseph-Mathurin, Nelly , Xiong, Chengjie , Chen, Charles D , Ances, Beau M , Fox, Nick C , Morris, John C , Ghetti, Bernardino F , Supnet-Bell, Charlene , Berman, Sarah , Clair, Junie Saint, McKay, Nicole S. , Friedrichsen, Karl A. , McCullough, Austin , Li, Yan, Cruchaga, Carlos , Llibre‐Guerra, Jorge J. , Allegri, Ricardo , Brooks, William S. , Cash, David M. , Jucker, Mathias , Klunk, William E. , Fougère, Christian la , Niimi, Yoshiki , Reischl, Gerald , Schofield, Peter R. , Su, Yi , Brickman, Adam M. , McDade, Eric , Xiong, Chengjie , Bateman, Randall J. , Benzinger, Tammie L.S. , Network, for the Dominantly Inherited Alzheimer

Alzheimer's & Dementia | February 21, 2024 | Volume: 20 | Issue: 4 | Pages: 2680-2697

10.1002/alz.13729 Get It

AbstractINTRODUCTIONAmyloidosis, including cerebral amyloid angiopathy, and markers of small vessel disease (SVD) vary across dominantly inherited Alzheimer's disease (DIAD) presenilin‐1 (PSEN1) mutation carriers. We investigated how mutation position relative to codon 200 (pre‐/postcodon 200) influences these pathologic features and dementia at different stages.METHODSIndividuals from families with known PSEN1 mutations (n = 393) underwent neuroimaging and clinical assessments. We cross‐sectionally evaluated regional Pittsburgh compound B‐positron emission tomography uptake, magnetic resonance imaging markers of SVD (diffusion tensor imaging‐based white matter injury, white matter hyperintensity volumes, and microhemorrhages), and cognition.RESULTSPostcodon 200 carriers had lower amyloid burden in all regions but worse markers of SVD and worse Clinical Dementia Rating® scores compared to precodon 200 carriers as a function of estimated years to symptom onset. Markers of SVD partially mediated the mutation position effects on clinical measures.DISCUSSIONWe demonstrated the genotypic variability behind spatiotemporal amyloidosis, SVD, and clinical presentation in DIAD, which may inform patient prognosis and clinical trials.Highlights Mutation position influences Aβ burden, SVD, and dementia. PSEN1 pre‐200 group had stronger associations between Aβ burden and disease stage. PSEN1 post‐200 group had stronger associations between SVD markers and disease stage. PSEN1 post‐200 group had worse dementia score than pre‐200 in late disease stage. Diffusion tensor imaging‐based SVD markers mediated mutation position effects on dementia in the late stage.
Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , Chao, Steven, Coleman, Jaila, White, Jessica D. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Belden, Christine M. , Clark, Kelly, Zamrini, Edward , Sabbagh, Marwan, Kowall, Neil W. , Budson, Andrew E. , Ntekim, Oyonumo, Wolday, Saba, Khan, Javed , Nwulia, Evaristus , Nadarajah, Sheeba , Lerner, Alan J. , Ogrocki, Paula, Tatsuoka, Curtis , Fatica, Parianne, Olichney, John , Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T‐Y, Asthana, Sanjay , Carlsson, Cynthia M., Perrin, Allison, Burke, Anna , Kataki, Maria , Hart, David , Zimmerman, Earl A. , Celmins, Dzintra, Smith, Karen Ekstam, Shim, Hyungsub , Nam, Ki Won , Schtulz, Susan K., Williamson, Jeff D. , Craft, Suzanne , Cleveland, Jo, Ott, Brian R. , Drake, Jonathan, Tremont, Geoffrey , Daiello, Lori A. , Ritter, Aaron, Bernick, Charles , Munic, Donna, O’Connell, Abigail, Mintzer, Jacobo , Wiliams, Arthur, Masdeu, Joseph C. , Shi, Jiong , Garcia, Angelica, Newhouse, Paul , Salloway, Steven, Malloy, Paul, Correia, Stephen , Kittur, Smita, Blank, Karen, Anderson, Karen, Flashman, Laura A. , Seltzer, Marc, Hynes, Mary L. , Santulli, Robert B. , Relkin, Norman , Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa , Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra , Varon, Daniel, Greig, Maria T., Martin, Kimberly S., Reist, Christopher , Sadowsky, Carl, Villena, Teresa, Rosen, Howard, Peskind, Elaine R. , Li, Gail, Vöglein, Jonathan , Méndez, Patricio Chrem, Ikonomović, Snežana, Nadkarni, Neelesh K. , Ramírez, Laura, Leon, Yudy Milena, Ramos, Cláudia , Alzate, Diana, Baena, Ana , Londono, Natalia, Laske, Christoph , Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Preische, Oliver, Hofmann, Anna, Ishii, Kenji , Senda, Michio , Riddle, Meghan C., Menard, William, Bodge, Courtney, Surti, Mustafa, Sanchez-Gonzalez, VJ, Orozco-Barajas, Maribel, Esposito, Bianca, Fernanadez, Victoria, Jerome, Gina, Herries, Elizabeth, Seyfried, Nicholas T. , Bechara, Jacob , Chen, Allison , Hantler, Nancy, Hornbeck, Russ C. , Jarman, Steve, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Mishall, Sheetal, Sabaredzovic, Edita, Deng, Emily , Candela, Madison, Smith, Hunter , Scott, Jalen , Gremminger, Emily, Ma, Yinjiao , Bui, Ryan , Lu, Ruijin , Daniels, Alisha , Courtney, Laura, Supnet, Charlene , Xu, Jinbin , Ringman, John M. , Barthélemy, Nicolas R. , Jack, Clifford R , Gordon, Brian A , Kantarci, Kejal , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Levey, Allan I , Kremen, Sarah , Joseph‐Mathurin, Nelly , Jucker, Mathias , Xiong, Chengjie , Karch, Celeste M. , Schofield, Peter R. , McDade, Eric , Cruchaga, Carlos , Allegri, Ricardo , Koeppe, Robert A. , Chui, Helena C. , Sánchez‐Valle, Raquel , Lee, Jae‐Hong , Rosa-Neto, Pedro , Swardfager, Walter , Benzinger, Tammie L.S. , Bateman, Randall J. , Sperling, Reisa Anne , Schultz, Aaron P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Jack, Clifford R., Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Morris, John C., Barnes, Lisa L. , González, Hector, Ho, Carole , Hsiao, John , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Donohue, Michael , Smith, Stephanie R. , Harvey, Danielle , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Senjem, Matthew L. , Vemuri, Prashanthi , Reid, Robert I. , Malone, Ian B. , Thompson, Paul M. , Thomopoulos, Sophia I. , Nir, Talia M. , Fletcher, Evan M. , Tosun, Duygu , Yushkevich, Paul A. , Das, Sandhitsu R. , Chen, Kewei , Mathis, Chet, Nho, Kwangsik T. , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Silbert, Lisa C. , Kaye, Jeffrey , Carter, Raina, Quinn, Joseph F. , Lord, Joanne L. , Knopman, David S. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Goldstein, Martin A., Greenberg, Jonathan, Shah, Raj C. , Lamar, Melissa , Duara, Ranjan , Sadowski, Martin , Wısnıewskı, Thomas , Wong, Terence Z. , Wolk, David A. , Jicha, Gregory A. , López, Oscar L. , Porsteinsson, Anton P. , Yanez, Beatriz, Sosa, Elizabeth M. , Kelley, Brendan , Nguyen, Trung Dung , Womack, Kyle , Lah, James J. , Burns, Jeffrey M. , Brooks, William Miles , Silverman, Daniel H.S. , Teng, Edmond , Brosch, Jared R. , Black, Sandra E. , Stefanovic, Bojana , Heyn, Chris , Hsiung, Ging‐Yuek Robin , Kim, Ellen , Sossi, Vesna , Feldman, Howard , Finger, Elizabeth C. , Pasternak, Stephen , Miller, Bruce L. , Perry, David C. , Turner, Raymond Scott , MCCann, Kelly, Sperling, Reisa A., Atri, Alireza , Killiany, Ronald , Stern, Robert A. , Mez, Jesse , Obisesan, Thomas O. , Maillard, Pauline , Carmichael, Owen , Bartha, Robert , Johnson, Sterling C. , Carlsson, Cynthia M. , Scharre, Douglas W. , Tarawneh, Rawan M. , Miller, Del D. , Ponto, Laura L. Boles , Koleva, Hristina , Yang, Mia , Sink, Kaycee M. , Masdeu, Joseph C , Potkin, Steven G. , Salloway, Steve , Pearlson, Godfrey D. , Sood, Ajay, Arfanakis, Konstantinos , Varón, Daniel , Martínez, Walter Fabián , Petrie, Eric C. , Noble, James M. , Surace, Ezequiel , Lopera, Francisco Javier , Aguillon, David , Londono, Natalia, Moreno, Sonia, Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Cash, David M. , Roh, Jee Hoon , Takada, Leonel Tadao , Renton, Alan , Marsh, Jacob A. , Llibre‐Guerra, Jorge J. , Johnson, Erik C. B. , Brooks, William S. , Chen, Charles , Flores, Shaney , McCullough, Austin , McKay, Nicole S. , Wáng, Qīng , Candela, Madison, Hobbs, Diana A. , Wang, Peter , Xu, Xiong, Li, Yan , Sosa, Ana Luisa , Smith, Jennifer A.

JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P &amp;lt; .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P &amp;lt; .001]; ADNI: t = 9.1 [P &amp;lt; .001]; HABS: t = 5.4 [P &amp;lt; .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P &amp;lt; .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.
Autosomal dominant and sporadic late onset Alzheimer's disease share a commonin vivopathophysiology
Schofield, Peter R. , Weiner, Michael W. , Xiong, Chengjie , Coble, Dean W. , Saito, Naomi , Aisen, Paul, Berman, Sarah , Cairns, Nigel J., Carrillo, María C. , Chui, Helena C., Chhatwal, Jasmeer P. , Fagan, Anne M. , Farlow, Martin R. , Fox, Nick C. , Goate, Alison , Gordon, Brian A. , Graff‐Radford, Neill R. , Day, Gregory S. , Hassenstab, Jason , Jack, Clifford R. , Jagust, William J. , Massoumzadeh, Parinaz , Masters, Colin L. , Mori, Hiroshi , Noble, James M. , Petersen, Ronald C. , Ringman, John M. , Salloway, Stephen , Saykin, Andrew J. , Shaw, Leslie M. , Trojanowski, John Q. , Vöglein, Jonathan , Weninger, Stacie, Bateman, Randall J. , Buckles, Virginia, Morris, John C. , Schofield, Peter R , Gordon, Brian A , Ikeuchi, T , Jack, Clifford R , Jagust, William J , Masters, Colin L , Vöglein, Jonathan , Saykin, Andrew J , Day, Gregory S , Bateman, Randall J , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Berman, Sarah , Noble, James M , Xiong, Chengjie , Beckett, Laurel , Allegri, Ricardo , Benzinger, Tammie L.S. , Chui, Helena C. , Cruchaga, Carlos , Ghetti, Bernardino , Ikeuchi, Takeshi , Jucker, Mathias , Martins, Ralph N. , McDade, Eric , Toga, Arthur W.

Brain | May 17, 2022 | Volume: 145 | Issue: 10 | Pages: 3594-3607

10.1093/brain/awac181 Get It

AbstractThe extent to which the pathophysiology of autosomal dominant Alzheimer's disease corresponds to the pathophysiology of ‘sporadic’ late onset Alzheimer's disease is unknown, thus limiting the extrapolation of study findings and clinical trial results in autosomal dominant Alzheimer's disease to late onset Alzheimer's disease.We compared brain MRI and amyloid PET data, as well as CSF concentrations of amyloid-β42, amyloid-β40, tau and tau phosphorylated at position 181, in 292 carriers of pathogenic variants for Alzheimer's disease from the Dominantly Inherited Alzheimer Network, with corresponding data from 559 participants from the Alzheimer’s Disease Neuroimaging Initiative. Imaging data and CSF samples were reprocessed as appropriate to guarantee uniform pipelines and assays. Data analyses yielded rates of change before and after symptomatic onset of Alzheimer's disease, allowing the alignment of the ∼30-year age difference between the cohorts on a clinically meaningful anchor point, namely the participant age at symptomatic onset.Biomarker profiles were similar for both autosomal dominant Alzheimer's disease and late onset Alzheimer's disease. Both groups demonstrated accelerated rates of decline in cognitive performance and in regional brain volume loss after symptomatic onset. Although amyloid burden accumulation as determined by PET was greater after symptomatic onset in autosomal dominant Alzheimer's disease than in late onset Alzheimer's disease participants, CSF assays of amyloid-β42, amyloid-β40, tau and p-tau181 were largely overlapping in both groups. Rates of change in cognitive performance and hippocampal volume loss after symptomatic onset were more aggressive for autosomal dominant Alzheimer's disease participants.These findings suggest a similar pathophysiology of autosomal dominant Alzheimer's disease and late onset Alzheimer's disease, supporting a shared pathobiological construct.