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309 citation(s) found for "Schwarz, Christopher G".

Association of plasma Alzheimer's disease biomarkers with cognitive decline in cognitively unimpaired individuals
Wiste, Heather J. , Therneau, Terry M. , Griswold, Michael , Binette, Alexa Pichet , Stomrud, Erik , Barthélemy, Nicolas R. , Braunstein, Joel B. , Verghese, Philip B. , Graff‐Radford, Jonathan , Lowe, Val J. , Gunter, Jeffrey L. , Petersen, Ronald C. , Jack, Clifford R. , Jack, Clifford R , Stomrud, Erik , Pichet Binette, Alexa , Cogswell, Petrice M. , Mattsson, Niklas , Palmqvist, Sebastian , Bateman, Randall J. , West, Tim , Machulda, Mary M. , Algeciras‐Schimnich, Alicia , Schwarz, Christopher G. , Senjem, Matthew L. , Knopman, David S. , Vemuri, Prashanthi , Hansson, Oskar

Mayo Clinic

Alzheimer's & Dementia | August 30, 2025 | Volume: 21 | Issue: 9 | Pages: No page available

10.1002/alz.70625 | PMID 40883967 Get It

Abstract INTRODUCTION Plasma biomarkers’ utility for predicting incident mild cognitive impairment (MCI) remains unclear. We evaluated associations of plasma Alzheimer's disease (AD) biomarkers and amyloid positron emission tomography (PET) with transitions from cognitively unimpaired (CU) to MCI in the Mayo Clinic Study of Aging (MCSA) and BioFINDER‐2 studies. METHODS Associations of continuous baseline plasma biomarker levels and amyloid PET Centiloid with progression to MCI, adjusting for age, sex, and education, were evaluated with Cox proportional hazards models. RESULTS The study included 381 MCSA and 584 BioFINDER‐2 participants. Amyloid PET and percent phosphorylated to non‐phosphorylated tau217 (%p‐tau217) were strong predictors of progression to MCI in both cohorts: hazard ratios of 1.49 and 1.23 in the MCSA and 1.72 and 1.65 in BioFINDER, respectively. Amyloid beta 42/40 was a significant predictor in BioFINDER‐2 only (hazard ratio 2.20). DISCUSSION Plasma %p‐tau217 was associated with progression from CU to MCI in both cohorts, although differences in biomarker associations may be related to differences in the two cohorts. Highlights Mass‐spectrometry‐based plasma phosphorylated tau217 was associated with cognitively unimpaired to mild cognitive impairment (MCI) progression. Plasma amyloid beta 42/40 was a significant predictor in BioFINDER but not the Mayo Clinic Study of Aging (MCSA). Amyloid positron emission tomography (PET) was the strongest predictor of progression to MCI in the MCSA. Plasma had added value to amyloid PET in BioFINDER but not the MCSA. Biomarker performance may vary with cohort and biomarker measurement differences.
Long-term effects of 4 years of menopausal hormone therapy on white matter integrity
Faubion, Laura L. , Tosakulwong, Nirobul, Lesnick, Timothy G. , Fought, Angela J. , Kendall‐Thomas, June, Kapoor, Ekta , Fields, Julie A. , Bailey, Kent R. , James, Taryn T. , Løbo, Rogerio A. , Pal, Lubna , Hammers, Dustin B. , Cedars, Marcelle I. , Miller, Virginia M. , Harman, S. Mitchell , Gleason, Carey E. , Kantarci, Kejal , Kantarci, Kejal , Mak, Elijah , Kara, Firat , Tosakulwong, Nirobul, Reid, Robert I. , Schwarz, Christopher G. , Manson, JoAnn E. , Hammers, Dustin B , Brinton, Eliot A. , Malek‐Ahmadi, Michael , Naftolin, Frederick , Santoro, Nanette F. , Dowling, N. Maritza

Mayo Clinic

Menopause | July 22, 2025 | Volume: 32 | Issue: 9 | Pages: 818-828

10.1097/gme.0000000000002562 | PMID 40694740 Get It

Objectives: To assess the long-term effects of 4 years of menopausal hormone therapy (mHT) on the brain’s white matter architecture in women who initiated mHT within 3 years of menopause onset. Methods: The Kronos Early Estrogen Prevention Study (KEEPS) was a multicenter, double-blind, randomized, placebo-controlled 4-year mHT trial with treatment arms of oral conjugated equine estrogens (oCEE), transdermal 17β-estradiol (tE2), and placebo in recently postmenopausal women. KEEPS Continuation was an observational follow-up of KEEPS participants. White matter integrity was evaluated in KEEPS Continuation participants 10 years after KEEPS completion using white matter hyperintensity volume, diffusion magnetic resonance imaging (dMRI) techniques, and cerebral infarcts. Linear regression models were fitted for each brain region to evaluate if there were differences in white matter between KEEPS treatment arms. Results: There was no evidence to suggest the long-term effects of 4 years of mHT on brain white matter in KEEPS Continuation participants [n=266, mean age 67 (58-73)]. No differences in dMRI metrics were found in each of the treatment arms (oCEE n=70; tE2 n=79) when compared to placebo (n=94), following a false discovery rate adjustment for multiple comparisons. There were no statistically significant differences in white matter hyperintensity volume or infarct occurrence when comparing each of the treatment arms to placebo. Conclusions: We found no evidence of the long-term effect of 4-year mHT on white matter integrity when compared to placebo, consistent with emerging evidence of the safety of short-term use of mHT in recently postmenopausal women.
Revisiting Centiloids using AI
Bourgeat, Pierrick , Xia, Ying , Feizpour, Azadeh , Zisis, Georgios , Goyal, Manu S. , Tosun, Duygu , Short, C, Adam, Robert , Robertson, Joanne, Park, Denise C. , Farrar, Gill , Bollack, Ariane , Landau, Susan , Koeppe, Robert, Morris, John, Weiner, Michael, Villemagne, Victor L. , Masters, Colin, Doré, Vincent , Xia, Ying , Feizpour, Azadeh , Goyal, Manu , Tosun, Duygu , Benzinger, Tammie L S , LaMontagne, Pamela , Sperling, Reisa Anne , O'Bryant, Sid , Johnson, Sterling C. , Jack, Clifford R , Schwarz, Christopher G , Park, Denise C , Collij, Lyduine , Rowe, Christopher Cleon , Doré, Vincent , Bourgeat, Pierrick , Fripp, Jürgen , Lebrat, Léo , Cox, Timothy O. , Gillman, Ashley , Benzinger, Tammie L.S. , Breakspear, Michael J , Lupton, Michelle K. , Short, Cathy, O’Bryant, Sid E. , Jack, Clifford R. , Schwarz, Christopher G. , Barkhof, Frederik , Masters, Colin

Mayo Clinic

No container title available | July 8, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-7015694/v1 | PMID 40671806 Get It

Abstract The Centiloid scale is the standard for Amyloid (Aβ) PET quantification, widely used in research, clinical settings, and trial stratification. However, variability between tracers and scanners remains a challenge. This study introduces DeepSUVR, a deep learning method to correct Centiloid quantification, by penalising implausible longitudinal trajectories during training. The model was trained using data from 2,098 participants (6,762 Aβ PET scans) in AIBL/ADNI and validated using 15,806 Aβ PET scans from 10,543 participants across 10 external datasets. DeepSUVR increased correlation between tracers, and reduced variability in the Aβ-negatives. It showed the strongest association with cognition, highest AUC against visual reads and best longitudinal consistency between studies. DeepSUVR also increased the effect size for detecting lower Centiloid increase per year in the A4 study. DeepSUVR advances Aβ PET quantification, outperforming standard approaches, which is particularly important for consistent decision making and to detect subtle and early changes in clinical interventions.
Substantia Nigra Iron Deposition in Lewy Body Disease: A Magnetic Resonance Imaging and Neuropathology Study
Diaz‐Galvan, Patricia , Przybelski, Scott A. , Lesnick, Timothy G. , Nguyen, Aivi T. , Reichard, Ross R., Ono, Daisuke , Schwarz, Christopher G., Gunter, Jeffrey L. , Lowe, Val J. , Forsberg, Leah K. , Fields, Julie A. , Savica, Rodolfo , Graff‐Radford, Jonathan , Jones, David, Day, Gregory S. , Graff‐Radford, Neill, Kremers, Walter K. , Petersen, Ronald C., Jack, Clifford R. , Ferman, Tanis J. , Boeve, Bradley F., Kantarci, Kejal , Gunter, Jeffrey, Savica, Rodolfo , Graff-Radford, Jonathan , St Louis, E K , Kantarci, Kejal , Jack, Clifford R , Day, Gregory S , Ferman, Tanis J , Nguyen, Aivi T , Diaz-Galvan, Patricia , Kremers, Walter K , Murray, Melissa E. , Dickson, Dennis W. , Senjem, Matthew L. , Schwarz, Christopher G. , Ramanan, Vijay K. , Jones, David, Botha, Hugo , Louis, Erik K. St. , Knopman, David S. , Graff‐Radford, Neill, Petersen, Ronald C. , Boeve, Bradley F.

Mayo Clinic

Movement Disorders | June 23, 2025 | Volume: 40 | Issue: 10 | Pages: 2129-2138

10.1002/mds.30265 | PMID 40545947 Get It

Abstract Objective To compare iron deposition in the substantia nigra (SN) as measured with quantitative susceptibility mapping (QSM) on antemortem magnetic resonance imaging (MRI) between individuals with and without Lewy‐related pathology at autopsy. Methods We performed a retrospective cohort study including 54 participants who underwent autopsy and antemortem MRI with QSM. Cases were classified as Lewy body disease (LBD)‐present (n = 13) if they had Lewy‐related pathology and LBD‐absent (n = 41) if they did not have Lewy‐related pathology. QSM was calculated for the whole SN and the two subregions: pars compacta (SNc) and pars reticulata (SNr). Nonparametric Wilcoxon rank‐sum tests were used to compare SN QSM values between LBD‐present and LBD‐absent cases. Area under the receiver operating characteristic (ROC) curve (AUC) analyses tested the accuracy of SN QSM values to distinguish the two groups. Associations of QSM values in the SN and its subregions with clinical features were tested with Spearman's correlations. Results The LBD‐present group had higher QSM values in the SNc ( P = 0.008) than the LBD‐absent group with no differences in SNr. QSM values of the SNc distinguished LBD‐present and LBD‐absent cases with good accuracy (AUC = 0.74) and correlated with the presence of parkinsonism and parkinsonism severity. Conclusions This study provides neuropathological confirmation of the utility of SNc QSM as an in vivo biomarker of Lewy‐related pathology. Imaging evidence of abnormal iron deposition in the SNc could potentially serve as a biomarker for inclusion in emerging research frameworks aimed at defining individuals with LBD based on their biological characteristics. Ultimately, this could facilitate more precise diagnoses and guide treatment strategies in LBD. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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

Mayo Clinic

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

10.1001/jama.2025.7817 | PMID 40522652 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.
Aβ 42/40 and p-tau 181 as disease biomarkers in atypical Alzheimer's disease
Singh, Neha Atulkumar , Graff‐Radford, Jonathan , Li, Danni , Mielke, Michelle M. , Machulda, Mary M. , Schwarz, Christopher G. , Senjem, Matthew L. , Jack, Clifford R. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L. , Singh, Neha Atulkumar , Jack, Clifford R , Schwarz, Christopher G , Mielke, Michelle M , Senjem, Matthew L , Machulda, Mary M

Mayo Clinic

Journal of Alzheimer’s Disease | April 23, 2025 | Volume: 105 | Issue: 3 | Pages: 923-931

10.1177/13872877251333450 | PMID 40267266 Get It

Background Studies suggest that plasma Alzheimer's disease (AD) biomarkers may aid in the overall diagnosis of AD, but their utility among patients with atypical clinical presentations of AD are unknown. Objective The main objective of this study was to determine the relationship between amyloid-β (Aβ) and tau plasma biomarkers and PET measures of both Aβ and tau in atypical AD. The secondary objective was to determine if plasma biomarkers could differentiate patients with different atypical AD phenotypes and whether they were related to measures of disease severity. Methods We assessed whether plasma p-tau 181 and Aβ 42/40 were associated with Aβ and tau PET uptake, clinical phenotype and severity in 77 patients with PET biomarker-confirmed atypical AD. Results Plasma Aβ 42/40 ratio showed positive associations with tau PET uptake, with higher (more normal) Aβ 42/40 ratio associated with higher tau uptake; the ratio was not associated with Aβ PET. No associations were noted with plasma p-tau 181. Plasma Aβ 42/40 ratio and p-tau 181 concentrations were not associated with AD phenotype or cognitive severity. Conclusion Plasma Aβ 42/40 ratio and p-tau 181 concentrations are not associated with amyloid or tau PET or with clinical severity among individuals presenting with atypical AD.
Microglia positron emission tomography and progression in multiple sclerosis: thalamus on fire
Zeydan, Burcu , Neyal, Nur , Son, Jiye , Schwarz, Christopher G. , Thomas, June C Kendall, Bush, Melissa L, Przybelski, Scott A. , Fought, Angela J. , Jack, Clifford R. , Petersen, Ronald C. , Kantarci, Kejal , Lowe, Val J. , Kantarci, Orhun H. , Kendall Thomas, June C, Morrison, Holly A, Jack, Clifford R , Kantarci, Kejal , Schwarz, Christopher G , Zeydan, Burcu , Thomas, June C Kendall, Morrison, Holly A, Bush, Melissa L, Reid, Robert I. , Airas, Laura M.

Mayo Clinic

Brain Communications | April 16, 2025 | Volume: 7 | Issue: 3 | Pages: No page available

10.1093/braincomms/fcaf141 | PMID 40322777 Get It

Abstract Increased innate immune activity promotes neurodegeneration and contributes to progression in multiple sclerosis. This prospective case-control study aims to investigate thalamic microglia density on 18kDa translocator protein PET in patients with multiple sclerosis using a third-generation radioligand, 11C-ER176, and investigate the associations of 11C-ER176 PET uptake with imaging and clinical measures of progression in multiple sclerosis. Patients with multiple sclerosis (n = 50) and controls (n = 55) were prospectively enrolled and they underwent 11C-ER176 PET and MRI including diffusion MRI with neurite orientation dispersion and density imaging. Disease characteristics, expanded disability status scale and multiple sclerosis functional composite scores were obtained in patients with multiple sclerosis. Age at imaging (mean ± standard deviation: patients = 49.6 ± 12.9 years, controls = 48.2 ± 15.4 years, P = 0.63) and sex (female ratio; patients = 72%, controls = 65%, P = 0.47) were not different between the groups. Thalamus 11C-ER176 PET uptake was highest in patients with progressive multiple sclerosis (1.272 ± 0.072 standardized uptake value ratio), followed by patients with relapsing multiple sclerosis (1.209 ± 0.074 standardized uptake value ratio) and lowest in controls (1.162 ± 0.067 standardized uptake value ratio, P < 0.001). Patients with thalamic lesions had higher thalamus 11C-ER176 PET uptake than those without thalamic lesions in both relapsing multiple sclerosis and progressive multiple sclerosis (P < 0.001). In patients with multiple sclerosis, higher thalamus 11C-ER176 PET uptake correlated with lower thalamic volume (r = −0.45, P = 0.001), higher mean diffusivity (r = 0.56, P < 0.001), lower neurite density index (r = −0.43, P = 0.002), lower orientation dispersion index (r = −0.40, P = 0.005) and higher free water fraction (r = 0.42, P = 0.003) in the thalamus. In patients with multiple sclerosis, higher thalamus 11C-ER176 PET uptake also correlated with higher mean diffusivity (r = 0.47, P < 0.001) and lower neurite density index (r = −0.36, P = 0.012) in the corpus callosum. In patients with multiple sclerosis, higher thalamus 11C-ER176 PET uptake correlated with worse expanded disability status scale scores (r = 0.33, P = 0.02), paced auditory serial addition test scores (r = −0.43, P = 0.003) and multiple sclerosis functional composite z-scores (r = −0.46, P = 0.001). Microglia density in the thalamus is highest in patients with progressive multiple sclerosis and is associated with imaging biomarkers of neurodegeneration and clinical disease severity. As a signature imaging biomarker of progression in multiple sclerosis, effectively reflecting the global disease burden, 11C-ER176 PET may aid development and efficacy evaluation of therapeutics targeting microglia.
Longitudinal Rates of Brain Atrophy Differ Across Progressive Supranuclear Palsy Clinical Variants (P1-5.025)
Tosakulwong, Nirubol , Weigand, Stephen D. , Ali, Farwa , Stephens, Yehkyoung C. , Josephs, Keith A. , Whitwell, Jennifer L. , Kumar, Mahesh , Machulda, Mary M. , Schwarz, Christopher G. , Senjem, Matthew L. , Jack, Clifford R.

Mayo Clinic

Neurology | April 7, 2025 | Volume: 104 | Issue: 7_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000210522 Get It

Relationships between hypometabolism and both β‐amyloid and tau PET in corticobasal syndrome
Ghirelli, Alma , Goodrich, Austin W. , Stephens, Yehkyoung C. , Graff‐Radford, Jonathan , Ali, Farwa , Agosta, Federica , Jack, Clifford R. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L. , Schwarz, Chistopher G, Jack, Clifford R , Agosta, Federica , Machulda, Mary M. , Schwarz, Christopher G. , Senjem, Matthew L. , Filippi, Massimo

Mayo Clinic

Alzheimer's & Dementia | March 20, 2025 | Volume: 21 | Issue: 3 | Pages: No page available

10.1002/alz.70018 | PMID 40108988 Get It

AbstractINTRODUCTIONAlzheimer's disease (AD) pathology causes corticobasal syndrome (CBS) in 21%–50% of patients. Studies have assessed hypometabolism in CBS according to β‐amyloid (A) positron emission tomography (PET), but the understanding of the association of both AD‐tau (T) and A with hypometabolism is incomplete.METHODSThirty‐three CBS patients and 45 controls underwent fluorodeoxyglucose (FDG), flortaucipir, and Pittsburgh compound‐B PET and were classified as A± and T±. FDG‐PET uptake was extracted for 12 regions‐of‐interest in dominant (most affected) and non‐dominant hemispheres and compared across A/T groups.RESULTSA+T+ patients had greater hypometabolism in temporo‐parieto‐occipital cortices than A+T‐ and A‐T‐ groups, with no differences observed between the A+T‐ and A‐T‐ groups. FDG asymmetry was more accentuated in A+T+ patients. Medial temporal and basal ganglia metabolism were similar across AT groups.DISCUSSIONAmyloid and tau positivity contribute synergistically to hypometabolism and asymmetry in temporo‐parieto‐occipital cortices in CBS, with AD‐like patterns of hypometabolism observed only in A+T+ patients.Highlights Amyloid (A) and tau PET (T) status can be used to stratify CBS patients. A+T+ CBS patients show more hypometabolism in temporo‐parieto‐occipital cortices. Medial temporal metabolism (typical AD pattern) is similar across AT groups. Parieto‐occipital cortices should be assessed when investigating AT pathology in CBS. Amyloid and tau positivity contribute synergistically to hypometabolism and asymmetry in CBS.