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Perrin, Richard J.

https://orcid.org/0000-0002-3443-7716

Mayo Clinic

Washington University in St. Louis

Citations 81

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.
Novel differentially expressed genes and multiple biological pathways for Alzheimer's disease identified in brain tissue from African American donors
Labadorf, Adam , O’Neill, Nicholas K. , Dugger, Brittany N. , Frosch, Matthew P. , Gearing, Marla, Jin, Lee‐Way, Kofler, Julia , Mayeux, Richard , McKee, Ann C. , Miller, Carol A., Murray, Melissa E. , Nelson, Peter T. , Perrin, Richard J. , Tobunluepop, Katarnut, Troncoso, Juan C. , Murray, Melissa E , Dugger, Brittany N , Logue, Mark W. , Dickson, Dennis W. , Flanagan, Margaret E. , Gearing, Marla , Schneider, Julie A. , Stein, Thor D. , Teich, Andrew F. , Wang, Shih‐Hsiu J. , Wang, Zihan , Wolozin, Benjamin , Mez, Jesse , Farrer, Lindsay A.

Alzheimer's & Dementia | October 8, 2025 | Volume: 21 | Issue: 10 | Pages: No page available

10.1002/alz.70629 Get It

Abstract INTRODUCTION Few African American (AA) donors have been included in post mortem Alzheimer's disease (AD) studies compared to European‐ancestry (EA) individuals. METHODS We generated transcriptome‐wide bulk pre‐frontal cortex (PFC) gene expression data from 125 AA donors with neuropathologically determined AD and 82 AA controls. RESULTS Transcriptome‐wide significant differential expression was observed with 482 genes. The most significant, ADAMTS2 , showed 1.52 times higher expression in AD cases ( p = 2.96x10 −8 ). Comparison of findings with those from a recent gene expression study of EA brain donors revealed substantial concordance, including ADAMTS2 . Other associations not observed in EA results may be especially relevant to AD risk in the AA population. Examination of AA AD GWAS‐implicated variants identified several expression quantitative trait loci. CONCLUSION This first large‐scale AA brain AD gene expression study identified many differentially expressed genes, including ADAMTS2 , and supports gene expression as a molecular pathway underlying the impact of several AA AD risk variants. Highlights We performed the largest African American brain tissue Alzheimer's disease (AD) gene expression study. Expression differences for 482 genes, notably ADAMTS2 , were study‐wide significant. Many significant differentially expressed genes are involved in energy metabolism. Several previously known AD‐associated variants in African Americans are eQTLs. These results advance knowledge of the genetic basis of AD in the AA population.
The relationship of soluble tau species with Alzheimer's disease amyloid plaque removal and tau pathology
McDade, Eric , Barthélemy, Nicolas R. , Wang, Guoqiao , Li, Yan , Cao, Yuchen , Clifford, David B., Goate, Alison , Renton, Alan E., Hassenstab, Jason , Perrin, Richard J. , Xiong, Chengjie , Mummery, Catherine J. , Berman, Sarah , Roberson, Erik D. , Dyck, Christopher van , Gauthier, Serge , Masters, Colin L. , Bittner, Tobias , Yaari, R. , Chhatwal, Jasmeer P. , Chrem, Patricio, Xiong, Chengjie , Ringman, John M. , Ryan, Natalie S. , Day, Gregory S. , Daniels, Alisha , Morris, John C., Supnet, Charlene , Team, The DIAN‐TU Study Team and DIAN Obs, McDade, Eric M , Bateman, Randall J , Roberson, Erik , Day, Gregory S , Masters, Colin L , Xiong, Chengjie , Hassenstab, Jason , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Gordon, Brian A. , Benzinger, Tammie L.S. , Renton, Alan , Llibre‐Guerra, Jorge J. , Xiong, Chengjie , Cruchaga, Carlos , Lah, James J. , Masellis, Mario , Brooks, William S. , Suzuki, Kazushi , Jucker, Mathias , Wallon, David , Ikeuchi, Takeshi , Lee, Jae‐Hong , Roh, Jee Hoon , Schofield, Peter R. , Fox, Nick C. , Vöglein, Jonathan , Karch, Celeste M. , Ibanez, Laura , Sánchez‐Valle, Raquel , Morris, John C. , Levey, Allan I. , Bateman, Randall J. , Team, The DIAN‐TU Study Team and DIAN Obs

Alzheimer's & Dementia | September 23, 2025 | Volume: 21 | Issue: 9 | Pages: No page available

10.1002/alz.70689 Get It

Abstract BACKGROUND Tau‐derived cerebrospinal fluid (CSF) biomarkers correlate with amyloid‐beta (Aβ) plaques or tau tangles in Alzheimer's disease (AD). This study assessed the effects of long‐term anti‐Aβ antibodies on amyloid plaques, tau tangles, and CSF tau species to determine the relationships between them. METHODS A post‐hoc analysis of the DIAN‐TU‐001 trial (NCT01760005) examined 142 participants at risk for dominantly inherited AD randomized to solanezumab ( n = 50), gantenerumab ( n = 52), or placebo ( n = 40). High‐resolution mass spectrometry quantified CSF tau species over four years. RESULTS Phosphorylated tau (p‐tau) species (153, 181, 217, 231) increased early in preclinical AD but were reduced with gantenerumab‐mediated Aβ plaque reduction. Nearly a decade later, MTBR‐tau243 and p‐tau205 increased, showing no association with Aβ reduction, aligning with tau tangle pathology progression. DISCUSSION Initially changing soluble p‐tau species track Aβ plaque reduction, while ptau205 and MTBR‐243 reflect tau tangle pathology, informing different pathways of therapeutic strategies. Highlights p‐tau217 and p‐tau231 correlate with Aβ‐PET and respond to Aβ‐plaque lowering therapies. Aβ immunotherapy trials support a direct link between p‐tau changes and Aβ plaques Gantenerumab reduces Aβ plaques but does not affect tau NFT‐related biomarkers. Blood‐based p‐tau217 assays may provide a non‐invasive tool to monitor Aβ therapies. MTBR‐tau243 strongly correlates with tau PET and tracks NFT pathology progression. Further studies are needed to validate tau biomarkers for tracking NFT‐targeting therapies.
Plasma Phosphorylated Tau 217 to Identify Preclinical Alzheimer Disease
Janelidze, Shorena, Bali, Divya , Dolado, Anna Orduña , Binette, Alexa Pichet , Rahmouni, Nesrine , Blennow, Kaj, Doré, Vincent , Feizpour, Azadeh , Rowe, Christopher C., Villeneuve, Sylvia , Petersen, Ronald C., Jack, Clifford R. , Groups, ADNI, ALFA, and PREVENT-AD Study, Adegoke, Olusegun, Hussen, Kedir Adem, Aisen, Paul, Ajayi, Adeyinka, Amaza, Hannatu, Apostolova, Liana G. , Ashford, Miriam T. , Ayo, Omobolanle, Bernard, Marie , Bernhardt, Haley, Boatwright, Virginia, Borowski, Bret, Brylska, Magdalena, Buckholtz, Neil, Cabrera, Yuliana, Cairns, Nigel J. , Carrillo, Maria, Choe, Mark, Clanton, Taylor, Conti, Cat, Craft, Hannah, Crawford, Karen , DeCarli, Charles , Benedetto, Joseph Di, Diaz, Adam , Drake, Erin, Faber, Kelley, Felmlee, Joel P. , Fidell, Andrea, Flenniken, Derek , Fockler, Juliet , Forghanian-Arani, Arvin, Frank, R.T., Franklin, Erin , Glittenberg, Matt, Gunter, Jeff, Guzmán, Vanessa , Harvey, Danielle, Hedberg, Caitie, Hergesheimer, Lindsey, Hoang, Isabella, Jackson, Jonathan , Jagust, William, Jahanshad, Neda , Jenkins, Cecily, Jiménez, Gustavo , Jin, Chengshi , Kachaturian, Zaven, Kaddurah-Daouk, Rima, Kantarci, Kejal, Karlawish, Jason , Khachaturian, Zaven S., Knaack, Alexander , Korecka, Magdalena , Kormos, Adrienne, Germano, Kaori Kubo, Kwang, Winnie, Lacy, Kaci, Landau, Susan, Lopresti, Brian J. , Magana, Fabiola, Mahboubi, Payam, Malone, Ian G., Masliah, Eliezer , Masterman, Donna, Matoush, Leonard, Miller, Melanie J. , Molchan, Susan, Montine, Tom, Moore-Weiss, John, Neu, Scott, Nosheny, Rachel L. , Ogwang, Sheila, Okonkwo, Ozioma, Parkins, Shaniya, Perrin, Richard J. , Petersen, Ronald, Pizzola, Jeremy, Potter, Zoë, Potter, William Z., Rafii, Michael, Raman, Rema , Reyes, Calvin, Reyes, Denise , Robison, Justin , Chen, Stephanie Rossi, Ryan, Laurie, Sachdev, Pallavi, Saito, Naomi , Salazar, Jennifer, Thao, Mai Seng, Shaffer, Elizabeth , Shaw, Leslie M. , Silverberg, Nina, Strong, Joe, Talavera, Sandra , Taylor‐Reinwald, Lisa, Thal, Leon J., Thomas, Lisa , Thompson, Paul , Tosun, Duygu , Trojanowki, John Q., Sacrey, Diana Truran, Villemagne, Victor L. , Walter, Sarah , Wan, Yang , Ward, Chad, Webb, Caitlin, Weiner, Michael W. , Weisensel, Trinity, Zimmerman, Caileigh, Poirier, Judes, Breitner, John C.S. , Badawy, Mohamed , Baril, Andrée‐Ann, Aguilar, Ricardo A, Gorriti, Annabella B, Gispert, Lidia C, Martinez, Alba C, Iglesias, Ruth D, Julian, Sherezade F, Serra, P, González‐Escalante, Armand , Penas, Laura H, Rodriguez, Gema H, Ninou, Jordi H, Gamaz, Laura Iglesias, Knezevic, Iva, Alvarez, Paula M, Diaz, Tania M, Palacios, Eva , Ballester, A, Mendez, Sandra P, Freixedes, Laura Ros, Vila, Aleix S, Harster, Lluis S, Prat, Anna S, Jaramillo, Marc V, Jack, Clifford R , Feizpour, Azadeh , Doré, Vincent , Pichet Binette, Alexa , Salvadó, Gemma , Janelidze, Shorena , Therriault, Joseph , Brum, Wagner Scheeren , Stomrud, Erik , Mattsson, Niklas , Palmqvist, Sebastian , Coomans, Emma M. , Teunissen, Charlotte E. , Flier, Wiesje M. van der , Benzinger, Tammie L.S. , Gispert, Juan Domingo , Blennow, Kaj , Alcolea, Daniel , Fortea, Juan , Johnson, Sterling C. , Rosa-Neto, Pedro , Schindler, Suzanne E. , Suárez‐Calvet, Marc , Ossenkoppele, Rik , Hansson, Oskar , Groups, ADNI, ALFA, and PREVENT-AD Study, Aisen, Paul , Barnes, Lisa L. , Beckett, Laurel , Das, Sandhitsu R. , Donohue, Michael , Drake, Erin, Erickson, Claire M. , Fletcher, Evan M. , Arani, Arvin , Foroud, Tatiana , Fox, Nick C. , Frank, Richard, González, Hector, Green, Robert C. , Grill, Joshua D. , Harkins, Kristin , Ho, Carole , Hsiao, John , Jo, Taeho, Kaddurah‐Daouk, Rima , Kantarci, Kejal , Koeppe, Robert A. , Largent, Emily A. , Lee, Edward B. , Lee, Virginia M.‐Y. , Morris, John C. , Nho, Kwangsik T. , Nir, Talia M. , Nudelman, Kelly , Okonkwo, Ozioma, Petersen, Ronald, Rabinovici, Gil D. , Rafii, Michael S. , Reid, Robert, Reyes, Denise, Risacher, Shannon L. , Mindt, Mónica Rivera , Sachdev, Pallavi, Saykin, Andrew J. , Schwarz, Christopher G. , Senjem, Matthew L. , Li, Shen , Smith, Stephanie R. , Snyder, Peter J. , Thomopoulos, Sophia I. , Toga, Arthur W. , Vemuri, Prashanthi , Yushkevich, Paul A. , Badawy, Mohamed, Baillet, Sylvain , Minguillón, Carolina , Brugulat‐Serrat, Anna , Cacciaglia, Raffaele , Campo, Marta del , Pascual, Maria, Rodríguez‐Fernández, Blanca , Vilor‐Tejedor, Natàlia

JAMA Neurology | September 15, 2025 | Volume: 82 | Issue: 11 | Pages: 1122

10.1001/jamaneurol.2025.3217 Get It

Importance Advances in Alzheimer disease (AD) have shifted research focus to earlier disease stages, necessitating more scalable approaches to identify cognitively unimpaired individuals with amyloid β (Aβ) pathology. Objective To assess the utility of plasma phosphorylated tau 217 (p-tau217) for classifying Aβ status in cognitively unimpaired individuals, both as a stand-alone test and in a 2-step approach where positive plasma results were confirmed using a second modality (Aβ positron emission tomography [PET] or cerebrospinal fluid [CSF]). Design, Setting, and Participants This cross-sectional cohort study used data collected between June 2009 and March 2024. We included 2916 cognitively unimpaired participants from 12 international independent observational cohorts in the US, Europe, Australia, and Canada with available plasma p-tau217 levels and CSF or PET Aβ biomarkers. Performance comparisons between mass spectrometry and immunoassay-based p-tau217 measurements were also performed (n = 964). Exposures Plasma p-tau217 levels measured by immunoassay. Main Outcome and Measures Aβ status, determined by CSF or Aβ PET biomarkers. Results Participants had a mean (SD) age of 66.9 (9.9) years; 971 (33.3%) were Aβ positive by either CSF or PET, 1667 (57.2%) were women, and 1108 (38.1%) carried at least 1 APOE ε4 allele. As a stand-alone test, plasma p-tau217 achieved a positive predictive value (PPV) of 79% (95% CI, 74-84) and an overall accuracy of 81% (95% CI, 80-82). In a 2-step workflow, the PPV and accuracy significantly increased to 91% (95% CI, 86-95). While this approach required screening of 677 individuals with plasma p-tau217 to identify 100 Aβ-positive individuals, compared to 536 participants when using PET alone, it reduced the need for PET testing to 124. Immunoassays demonstrated comparable PPVs to mass spectrometry (80% [95% CI, 74-86] vs 85% [95% CI, 81-90]; P = .12) but significantly lower overall accuracy (82% [95% CI, 79-84]% vs 88 [95% CI, 86-90]; P < .001) and true Aβ-positive detection rate (49% [95% CI, 43-55] vs 69% [95% CI, 64-75]; P < .001). Conclusions and Relevance The findings highlight the potential of plasma p-tau217 as a stand-alone test—or when used in a sequential 2-step approach alongside PET or CSF testing—as a cost-effective, scalable, and minimally burdensome strategy for identifying preclinical AD. Tailored screening workflows that incorporate p-tau217 can improve efficiency in participant selection for preclinical AD trials and, in the future, help guide access to disease-modifying treatments.
Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity
Raghavan, Sheelakumari, Costoya‐Sánchez, Alejandro , Mainta, Ismini , Rodríguez-Fonseca, Omar Darío, Perissinotti, Andrés , Gu, Yuna , Yun, Jihwan, Peretti, Débora Elisa , Aguiar, Pablo , Bischof, Gérard N. , Seo, Sang Won , Villeneuve, Sylvia , O’Brien, John T. , Jagust, William, Frisoni, Giovanni B. , Soleimani‐Meigooni, David N. , Carrillo, Marı́a C., Joie, Renaud La , Rabinovici, Gil D. , Apostolova, Liana G. , Pontecorvo, Michael J. , Johnson, Keith A. , Weiner, Michael W. , Petersen, Ronald C., Jack, Clifford R. , Schöll, Michael , Labonté, Anne , Faubert, Anne‐Marie, Mathieu, Axel, Madjar, Cécile , Carrier, Charles Edouard, Kazazian, Christina, Lepage, Claude, Maillet, David , Michaud, Diane, Couture, Doris, Dea, Doris, Courcot, Blandine, Debacker, Clément , Fontaine, David, Knopman, David S. , Multhaup, Gerhard, Maltais, Jean‐Robert, Breitner, John C.S. , Poirier, Judes, Cheewakriengkrai, Laksanun, Sager, Mark A., Dauar‐Tedeschi, Marina, Rajah, Natasha, Aisen, Paul, Toussaint, Paule‐Joanne , Pierre, Bellec, Kostopoulos, Penelope, Étienne, Pierre , Tariot, Pierre N. , Orban, Pierre , Hoge, Rick, Thomas, Ronald J. , Gauthier, Serge , Craft, Suzanne , Montine, Thomas J. , Nair, Vasavan, Bohbot, Véronique D. , Venugopalan, Vinod, Ituria‐Medina, Yasser, Khachaturian, Zaven S., Teigner, Eduard, Anthal, Elena, Yu, Elsa, Ferdinand, Fabiola, Pogossova, Galina, Mayrand, Ginette, Duclair, Guerda, Gagné, Guylaine, Newbold‐Fox, Holly, Leppert, Illana, Tremblay‐Mercier, Jennifer , Frenette, Joanne, Frappier, Josée, Kat, Justin, Miron, Justin , Wan, Karen, Mahar, Laura, Carmo, Leopoldina, Théroux, Louise, Dufour, Marianne, Lafaille‐Magnan, Marie‐Élyse, Savard, Mélissa, Tuwaig, Miranda, Petkova, Mirela, Rioux, Pierre, Meyer, P.T., El‐Khoury, Rana, Gordon, Renee, Giles, Renuka, Das, Samir, Wang, Seqian, Tabrizi, Shirin , Mathotaarachchi, Sulantha , Dubuc, Sylvie, Lee, Tanya , Beaudry, Thomas, Gervais, Valérie, Pagé, Véronique, Desautels, René, Benbouhoud, Fatiha, Saint‐Fort, Eunice Farah, Verfaillie, Sander C.J. , Farzin, Sarah , Salaciak, Alyssa , Tullo, Stéphanie , Daoust, Leslie‐Ann, Köbe, Theresa , McSweeney, Melissa, Nilsson, Nathalie , Pishnamazi, Morteza, Bedetti, Christophe , Hudon, Louise, Greco, Claudia, Chapleau, Marianne , St‐Onge, Frédéric , Boutin, Sophie , Geddes, Maiya R. , Ducharme, Simon , Jean, Gabriel, Sylvain, Elisabeth, Élie, Marie‐Josee, Leblond‐Baccichet, Gloria, Soucy, Jean‐Paul , Ozlen, Hazal , Bailly, Julie, Mohammediyan, Béry, Chen, Yalin , Remz, Jordana, Rentz, Dorene M., Amariglio, Rebecca E. , Blacker, Deborah , Chhatwal, Jasmeer P. , Dickerson, Brad C., Donovan, Nancy J. , Farrell, Michelle E. , Gómez, Cristina Lois, Marshall, Gad A. , Oaoo, Kate, Price, Julie, Prokopiou, Prokopis C. , Reynolds, Gretchen , Skylar-Scott, Irina A., Vila‐Castelar, Clara , Yang, Hyun‐Sik , Trojanowki, John Q., Green, Robert C, Perrin, Richard J. , Shaw, Leslie M. , Potter, William Z. , Bernard, Marie , Jackson, Jonathan, Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma, Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Mariam, Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Rafii, Michael, Raman, Rema , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Smith, Stephanie , Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Harvey, Danielle, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Kantarci, Kejal, Thompson, Paul , Jahanshad, Neda , DeCarli, Charles , Knaack, Alexander , Fletcher, Evan, Chen, Stephanie R, Choe, Mark, Crawford, Karen , Yuschkevich, Paul A, Reiman, Eric M. , Mathis, Chet, Landau, Susan , Cairns, Nigel J. , Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michal, Neu, Scott, Nho, Kwangsik, Foroud, Tatiana M., Faber, Kelley , Wilmes, Kristi, Thal, Leon J., Dage, Jeffrey L. , Eloyan, Ani , Hammers, Dustin B. , Kirby, Kala, Kramer, Joel, Legarde, Julien, Murray, Melissa E., Newell, Kathy L. , Taurone, Alexander, Thangarajah, Maryanne, Touroutoglou, Alexandra , Clark, David , Day, Gregory S, Duara, Ranjan , Graff-Radford, Neill R, Grant, Ian , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steven, Sha, Sharon J. , Carrillo, María C. , O'Brien, John Tiernan , Jack, Clifford R , Schöll, Michael , La Joie, Renaud , Rabinovici, Gil D , Dage, Jeffrey L , Rial, Alexis Moscoso , Heeman, Fiona , Raghavan, Sheelakumari , Essen, Martijn van , Camacho, Valle , Silva‐Rodríguez, Jesús , Ribaldi, Federica , Coomans, Emma M. , Brum, Wagner Scheeren , Grothe, Michel J. , Drzezga, Alexander E. , Malpetti, Maura , Rowe, James B. , Giessen, Elsmarieke van de , Ossenkoppele, Rik , Smith, Ruben , Hansson, Oskar , Garibotto, Valentina , Dickerson, Bradford Clark , LaMontagne, Pamela , Sperling, Reisa Anne , Vemuri, Prashanthi , Tam, Angela , Binette, Alexa Pichet , Dansereau, Christian , Picard, Cynthia , Michaud, Diane, Couture, Doris, Cuello, A. Claudio , Barkun, Alan , Evans, Alan Charles , Tardif, Christine Lucas , Knopman, David S. , Near, Jamie , Leoutsakos, Jeannie‐Marie , Brandt, Jason , Pruessner, Jens C. , Morris, John C. , Collins, D. Louis , Chakravarty, M. Mallar , Eisenberg, Mark Jeffrey , Rajah, Maria Natasha , Rosa-Neto, Pedro , Bellec, Pierre , Thomas, Ronald, Fonov, Vladimir , Vallee, Isabelle, Vogel, Jacob W. , Dadar, Mahsa , Appleby, Melissa , Meyer, Pierre‐François, Gonneaud, Julie , Pascoal, Tharick Ali , Vachon‐Presseau, Étienne , Spreng, R. Nathan , Rentz, Dorene M. , Buckley, Rachel F. , Gagliardi, Geoffroy Pierre , Gatchel, Jennifer R. , Guzmán‐Vélez, Edmarie , Jacobs, Heidi I.L. , Jutten, Roos J. , Pardilla‐Delgado, Enmanuelle , Price, Julie C. , Quiroz, Yakeel T. , Schultz, Aaron P. , Schultz, Stephanie A. , Sepulcre, Jorge , Vannini, Patrizia , Toga, Arthur W. , Beckett, Laurel , Saykin, Andrew J. , Potter, William, Barnes, Lisa L. , Gonzalez, Hector, Ho, Carole , Hsiao, John , Jackson, Jonathan , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Jimenez‐Maggiora, Gustavo Adolfo , Donohue, Michael , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Kantarci, Kejal , Senjem, Matthew L. , Reid, Robert I. , Fox, Nick C. , Malone, Ian B. , Thomopoulos, Sophia I. , Nir, Talia M. , Tosun, Duygu , Das, Sandhitsu R. , Koeppe, Robert A. , Chen, Kewei , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Ghetti, Bernardino , Grinberg, Lea T. , Hammers, Dustin B , Kirby, Kala, Kukull, Walter A. , Murray, Melissa E. , Polsinelli, Angelina J. , Atri, Alireza , Duara, Ranjan , Graff‐Radford, Neill R. , Honig, Lawrence S. , Johnson, Erik C. B. , Masdeu, Joseph C , Musiek, Erik , Salloway, Steve , Turner, Raymond Scott , Wingo, Thomas S , Wolk, S. J. , Womack, Kyle

JAMA | June 16, 2025 | Volume: 334 | Issue: 3 | Pages: 229

10.1001/jama.2025.7817 Get It

Importance Tau positron emission tomography (PET) allows in vivo detection of neurofibrillary tangles, a core neuropathologic feature of Alzheimer disease (AD). Objective To provide estimates of the frequency of tau PET positivity and its associated risk of clinical outcomes. Design, Setting, and Participants Longitudinal study using data pooled from 21 cohorts, comprising a convenience sample of 6514 participants from 13 countries, collected between January 2013 and June 2024. Cognitively unimpaired individuals and patients with a clinical diagnosis of mild cognitive impairment (MCI), AD dementia, or other neurodegenerative disorders were included. Exposures Tau PET with flortaucipir F 18, amyloid-β (Aβ) PET, and clinical examinations. Tau PET scans were visually rated as positive according to a US Food and Drug Administration– and European Medicines Agency–approved method, designed to indicate the presence of advanced neurofibrillary tangle pathology (Braak stages V-VI). Main Outcomes and Measures Frequency of tau PET positivity and absolute risk of clinical progression (eg, progression to MCI or dementia). Results Among the 6514 participants (mean age, 69.5 years; 50.5% female), median follow-up time ranged from 1.5 to 4.0 years. Of 3487 cognitively unimpaired participants, 349 (9.8%) were tau PET positive; the estimated frequency of tau PET positivity was less than 1% in those aged younger than 50 years, and increased from 3% (95% CI, 2%-4%) at 60 years to 19% (95% CI, 16%-24%) at 90 years. Tau PET positivity frequency estimates increased across MCI and AD dementia clinical diagnoses (43% [95% CI, 41%-46%] and 79% [95% CI, 77%-82%] at 75 years, respectively). Most tau PET–positive individuals (92%) were also Aβ PET positive. Cognitively unimpaired participants who were positive for both Aβ PET and tau PET had a higher absolute risk of progression to MCI or dementia over the following 5 years (57% [95% CI, 45%-71%]) compared with both Aβ PET–positive/tau PET–negative (17% [95% CI, 13%-22%]) and Aβ PET–negative/tau PET–negative (6% [95% CI, 5%-8%]) individuals. Among participants with MCI at the time of the tau PET scan, an Aβ PET–positive/tau PET–positive profile was associated with a 5-year absolute risk of progression to dementia of 70% (95% CI, 59%-81%). Conclusions and Relevance In a large convenience sample, a positive tau PET scan occurred at a nonnegligible rate among cognitively unimpaired individuals, and the combination of Aβ PET positivity and tau PET positivity was associated with a high risk of clinical progression in both preclinical and symptomatic stages of AD. These findings underscore the potential of tau PET as a biomarker for staging AD pathology.
Ubiquitin–proteasome system in the different stages of dominantly inherited Alzheimer's disease
Hassenstab, Jason , Sung, Yun Ju, Daniels, Alisha , Xiong, Chengjie , Perrin, Richard J. , Day, Gregory S. , Supnet, Charlene , Berman, Sarah , Chhatwal, Jasmeer P. , Huey, Edward D. , Ryan, Natalie S. , Laske, Christoph , Xiong, Chengjie , Roh, Jee Hoon , Lopera, Francisco , team, For DIAN study, McDade, Eric M , Day, Gregory S , Xiong, Chengjie , Hassenstab, Jason , Roh, Jee Hoon , Supnet-Bell, Charlene , Berman, Sarah , Liu, Haiyan , Bui, Quoc Van Phu , Gordon, Brian A. , Benzinger, Tammie L.S. , Timsina, Jigyasha , Sung, Yun Ju, Karch, Celeste M. , Renton, Alan , Morris, John C. , Ibanez, Laura , Llibre‐Guerra, Jorge J. , Xu, Xiong, Ikeuchi, Takeshi , Kasuga, Kensaku , Niimi, Yoshiki , Schofield, Peter R. , Brooks, William S. , Jucker, Mathias , Vöglein, Jonathan , Lopera, Francisco Javier , Bateman, Randall J. , Cruchaga, Carlos , McDade, Eric , team, For DIAN study

Alzheimer's & Dementia | May 24, 2025 | Volume: 21 | Issue: 5 | Pages: No page available

10.1002/alz.70243 Get It

AbstractINTRODUCTIONThis study investigated the role of the ubiquitin–proteasome system (UPS) in dominantly inherited Alzheimer's disease (DIAD) by examining cerebrospinal fluid (CSF) levels of UPS proteins.METHODThe SOMAscan assay was used to detect changes in UPS proteins in mutation carriers (MCs) relative to disease progression; imaging and CSF biomarkers of amyloid, tau, and neurodegeneration measures; and Clinical Dementia Rating scale.RESULTSSubtle increases in specific ubiquitin enzymes were detected in MCs up to two decades before symptom onset, with more pronounced elevations in UPS‐activating enzymes near symptom onset. Significant correlations were found between UPS proteins and Alzheimer's disease (AD) biomarkers, especially between autophagy markers and late‐stage tau biomarkers, microglia, and axonal degeneration.DISCUSSIONThe rise in UPS proteins alongside tau‐related markers suggests UPS involvement in tau neurofibrillary tangles. Elevated CSF UPS proteins in DIAD MCs may serve as indicators of disease progression, and may support the UPS as a therapeutic target in AD.Highlights This study investigates the ubiquitin‐proteasome system (UPS) in Dominantly Inherited Alzheimer's Disease (DIAD), highlighting early molecular changes linked to disease progression. Using SOMAscan proteomics, we identified significant UPS protein alterations in cerebrospinal fluid of mutation carriers, notably up to 20 years before clinical symptom onset. Correlations between UPS protein levels and Alzheimer's biomarkers, particularly tau and neurodegeneration markers, suggest a strong association between UPS dysregulation and tau pathology in DIAD. Dynamic UPS changes align with A/T biological staging: UPS proteins were shown to increase across Aβ/tau (A/T) groups, with largest increases in the A+/T+ group, reinforcing their role in late‐stage tau pathology and disease progression. These findings underscore the potential of UPS proteins as early biomarkers for Alzheimer's disease progression and as novel therapeutic targets, especially in tau‐pathology‐driven neurodegeneration. This work contributes to understanding AD pathogenesis, by emphasizing the importance of protein quality control systems and by offering avenues for future biomarker discovery and therapeutic development in Alzheimer's disease.
The landscape of autosomal-dominant Alzheimer’s disease: global distribution and age of onset
Liu, Haiyan , Marsh, Thomas W. , Shi, Xinyu , Bowling, Kevin M. , Ziegemeier, Ellen , Wang, Guoqiao , Cao, Yuchen , Aristel, Alisha, Li, Jessie, Dickson, Alexa , Perrin, Richard J. , Goate, Alison , Fernández, María Victoria , Day, Gregory S. , Doering, Michelle , Daniels, Alisha , Hassenstab, Jason , Supnet, Charlene , Xiong, Chengjie , Berman, Sarah , Ryan, Natalie S. , Huey, Edward D. , Noble, James M. , Roh, Jee Hoon , Laske, Christoph , Sánchez‐Valle, Raquel , Méndez, Patricio Chrem, Chhatwal, Jasmeer P. , Farlow, Martin R. , Xiong, Chengjie , Gordon, Brian A , Ibanez, Laura , Vöglein, Jonathan , Roh, Jee Hoon , Ikeuchi, T , Sánchez-Valle, Raquel , Chhatwal, Jasmeer , Xiong, Chengjie , Rosa-Neto, Pedro , Schofield, Peter R , Bateman, Randall J , Cruchaga, Carlos , Day, Gregory S , Hassenstab, Jason , Fernandez, Maria , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Noble, James M , Renton, Alan , Gordon, Brian A. , Benzinger, Tammie L.S. , Allegri, Ricardo , Fox, Nick C. , Vöglein, Jonathan , Jucker, Mathias , Ikeuchi, Takeshi , Schofield, Peter R. , Lee, Jae‐Hong , Levey, Allan I. , Lopera, Francisco Javier , Martins, Ralph N. , Niimi, Yoshiki , Bateman, Randall J. , Karch, Celeste M. , McDade, Eric , Llibre‐Guerra, Jorge J.

Brain | February 4, 2025 | Volume: 148 | Issue: 7 | Pages: 2429-2440

10.1093/brain/awaf038 Get It

Abstract We present a comprehensive global analysis of genetic variants associated with autosomal-dominant Alzheimer’s disease (ADAD). A total of 550 variants in the APP, PSEN1 and PSEN2 genes were identified, of which 279 were classified as pathogenic or likely pathogenic based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology criteria, utilizing data from the Dominantly Inherited Alzheimer Network (DIAN), literature and public databases. Symptomatic age at onset (AAO) data were estimated for 227 of these variants, allowing detailed characterization of their frequency, pathogenicity and AAO. Importantly, 226 variants met eligibility criteria for inclusion in disease-modifying clinical trials. Furthermore, we demonstrated the predictive value of mean variant AAO and parental AAO in predicting symptomatic AAO, validated against converters who became symptomatic during follow-up in the DIAN Observational Study. This dataset provides critical insights into the global landscape of ADAD and reveals the genetic and AAO heterogeneity of ADAD variants while refining variant trial eligibility criteria.
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
Brain Volumetric Trajectories in Down Syndrome and Autosomal Dominant Alzheimer Disease
Kennedy, James Tyler, Boerwinkle, Anna H. , Price, Julie C. , Sathishkumar, Mithra , McMillan, Liv , Laymon, Charles M. , Krinsky‐McHale, Sharon J. , Lai, Florence , Rosas, H. Diana , Lott, Ira T. , Chhatwal, Jasmeer P. , Chui, Helena C., Farlow, Martin R. , Mori, Hiroshi , Perrin, Richard J. , Salloway, Stephen , Xiong, Chengjie , Schupf, Nicole , Mapstone, Mark , Christian, Bradley T. , Wisch, Julie K. , Gordon, Brian A. , Benzinger, Tammie L.S. , Klunk, William E. , Rafii, Michael S. , O’Bryant, Sid E. , Yassa, Michael A. , Brickman, Adam M. , Lao, Patrick , Hartley, Sigan L. , Zaman, Shahid H. , Lee, Joseph H. , Allegri, Ricardo , Berman, Sarah , Chui, Helena C. , Cruchaga, Carlos , Day, Gregory S. , Lee, Jae‐Hong , Xiong, Chengjie , Martins, Ralph N. , Sánchez‐Valle, Raquel , Schofield, Peter William , Hassenstab, Jason , McDade, Eric , Bateman, Randall J. , Handen, Benjamin L. , Head, Elizabeth , Ances, Beau M.

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

10.1002/alz.089313 Get It

AbstractBackgroundAlzheimer disease (AD) related cognitive decline occurs at relatively young ages in individuals with Down syndrome (DS, early‐mid 50s) and in those with autosomal dominant mutations (ADAD, 40‐50s). Both groups show similar patterns of amyloid accumulation. We examined if brain volumes are similarly affected by AD pathology in individuals with DS and ADAD.MethodData for cognitively stable and declining participants was obtained from the Alzheimer Biomarker Consortium‐Down Syndrome (ABC‐DS) and the Dominantly Inherited Alzheimer Network (DIAN). Stability/decline was identified based on cognitive testing and interview of individuals and caregivers by trained assessors. Cognitively stable family members without DS/ADAD mutations were recruited as controls from both studies. Participants underwent MRI and amyloid positron emission tomography (PET) scans from which brain volumes and amyloid (centiloids) were derived, respectively. Participants from DIAN had Pittsburgh Compound‐B (PIB) scans, ABC‐DS had PIB or florbetapir. Nonlinear cross‐sectional associations between regional brain volumes and estimated years to onset of cognitive decline (EYO, negative values before onset, positive after) and centiloid were evaluated using generalized additive models while controlling for sex and random effects of family. EYO was set to 52 for all participants with DS and based on parental decline/mutation type for participants with ADAD. EYO for controls was based on the EYO of their family member.ResultData from 239 participants with DS (47 declining), and 340 participants with ADAD (122 declining), and 263 familial controls were included. Higher EYO and centiloid values were associated with lower brain volumes in almost all regions. At earlier EYOs, individuals with DS typically had smaller regional volumes than ADAD or sibling controls, with volume declining linearly across the EYO range. By contrast, ADAD mutation carriers had similar volumes to non‐carriers at early EYOs, with volumes diverging as early as 10 years before decline. Brain volumes and centiloid values were inversely related in ADAD and DSAD. Volume in key cortical regions were similar by the expected year of onset in both groups.ConclusionADAD and DSAD demonstrated different temporal patterns of regional neurodegeneration prior to cognitive change despite being similarly affected by early onset amyloid.