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Bottlaender, Michel

0000-0002-2890-3653

Mayo Clinic

Centre National de la Recherche Scientifique

Citations 3

Sex, education and race/ethnicity have distinct effects on amyloid and tau‐PET status
Groot, Colin , Rowe, Christopher C., Giessen, Elsmarieke van de, Flier, Wiesje M. van der, Pijnenburg, Yolande A.L., Visser, Pieter Jelle, Braber, Anouk den, Pontecorvo, Michael J. , Burnham, Samantha C., Lu, Ming , Jagust, William J., Baker, Suzanne L. , Harrison, Theresa, Gispert, Juan Domingo, Shekari, Mahnaz , Minguillón, Carolina, Smith, Ruben, Mattsson‐Carlgren, Niklas, Palmqvist, Sebastian, Strandberg, Olof, Stomrud, Erik, Brickman, Adam, Manly, Jennifer J., Lao, Patrick J., Kreisl, William Charles, Malpetti, Maura, O'Brien, John T, Jäger, Elena, Bischof, Gérard, Drzezga, Alexander, Xie, Fang, Mao, Xiaoxie, Guan, Yihui, Frisoni, Giovanni B, Peretti, Débora Elisa , Skoog, I., Kern, Silke, Sperling, Reisa A., Johnson, Keith A., Risacher, Shannon, Saykin, Andrew J., Carrillo, Maria C., Dickerson, Brad C., Apostolova, Liana G., Rabinovici, Gil D., Barthel, H, Messerschmidt, Konstantin, Vandenberghe, Rik, Laere, Koen J. Van, Spruyt, Laure , Petersen, Ronald, Jack, Clifford R., Franzmeier, Nicolai, Brendel, Matthias, Gnörich, Johannes, Benzinger, Tammie L.S., Lagarde, Julien, Sarazin, Marie , Villeneuve, Sylvia , Poirier, Judes, Seo, Sang Won, Gu, Yuna , Kim, Jun Pyo, Mormino, Beth C., Vossler, Hillary , Rosa‐Neto, Pedro, Therriault, Joseph, Rahmouni, Nesrine, Cash, David M, Schott, Jonathan M, Hanseeuw, Bernard J, Jansen, Willemijn J. , Joie, Renaud La, Rosen, Howard J., Johnson, Sterling C., Christian, Bradley T, Betthauser, Tobey J., Landau, Susan M., O'Bryant, Sid E., Hansson, Oskar H., Ossenkoppele, Rik, Prevent‐AD, ADNI, ADNI‐DOD, A‐Study, MCSA,, O’Brien, John T. , O'Brien, John Tiernan , Groot, Colin , Coomans, Emma M. , Rowe, Christopher C., Doré, Vincent , Feizpour, Azadeh , Giessen, Elsmarieke van de , Flier, Wiesje M. van der , Pijnenburg, Yolande A.L. , Visser, Pieter Jelle , Braber, Anouk den , Burnham, Samantha C. , Kennedy, Ian Andrew , Jagust, William J. , Harrison, Theresa M. , Gispert, Juan Domingo , Shekari, Mahnaz , Minguillón, Carolina , Smith, Ruben, Mattsson, Niklas , Palmqvist, Sebastian , Strandberg, Olof, Stomrud, Erik , Brickman, Adam M. , Luchsinger, Jose Alejandro , Manly, Jennifer J. , Lao, Patrick , Malpetti, Maura , Rowe, James B. , Bischof, Gérard N. , Drzezga, Alexander E. , Xie, Fang , Guan, Yihui , Garibotto, Valentina , Frisoni, Giovanni B. , Schöll, Michael , Kern, Silke , Sperling, Reisa Anne , Johnson, Keith A. , Risacher, Shannon L. , Saykin, Andrew J. , Carrillo, María C. , Dickerson, Bradford Clark , Apostolova, Liana G. , Rabinovici, Gil D. , Rullmann, Michael , Messerschmidt, Konstantin, Vandenberghe, Rik , Petersen, Ronald, Jack, Clifford R. , Franzmeier, Nicolai , Brendel, Matthias , Gnörich, Johannes , Benzinger, Tammie L.S. , Lagarde, Julien , Bottlaender, Michel , Poirier, Judes , Seo, Sang Won , Kim, Jun Pyo, Young, Christina B. , Rosa-Neto, Pedro , Therriault, Joseph , Rahmouni, Nesrine , Coath, William , Cash, David M. , Schott, Jonathan M. , Hanseeuw, Bernard , Salman, Yasmine , Malotaux, Vincent , Joie, Renaud La , Rosen, Howard J. , Johnson, Sterling C. , Christian, Bradley T. , Betthauser, Tobey J. , Landau, Susan , O’Bryant, Sid E. , Hansson, Oskar , Ossenkoppele, Rik

Alzheimer's & Dementia | January 8, 2026 | Volume: 21 | Issue: S2 | Pages: No page available

10.1002/alz70856_105387 Get It

Abstract Background Sex, education and race/ethnicity are all associated with risk of Alzheimer's disease dementia. Here, we assess the effects of self‐reported sex, educational attainment and race/ethnicity on amyloid‐positivity, and tau‐PET‐positivity in 12,048 (7,394 cognitively unimpaired [CU], 2,177 MCI, and 2,477 dementia) individuals from 42 cohorts worldwide. Method Logistic generalized estimating equations were used to estimate frequency of amyloid‐positivity (using cohort‐specific thresholds for amyloid‐PET [84%] or CSF) and tau‐PET‐positivity (cohort‐specific thresholds of 2SD above mean temporal uptake in amyloid‐negative controls). We assessed: i) sex and APOEε4 ( N = 10,098) associations, to complement earlier findings of a higher frequency of tau‐positivity in females, ii) effects of lower/higher education ( N = 10,970; cohort‐specific median‐split), and iii) effects of race/ethnicity (non‐Hispanic White [hereafter: White], N = 4880; Asian, N = 116; Black or African‐American [hereafter: Black], N = 353; Hispanic, N = 356, only from Northern‐American cohorts). Outcomes were frequency of amyloid‐positivity in CU individuals only, and tau‐PET‐positivity in both amyloid‐positive (AB+) CU and cognitively impaired (CI, i.e. MCI and dementia) individuals. Interaction effects on the relationship between age and amyloid/tau‐positivity were assessed and only retained in the models when significant. Result Female sex was associated with an APOEε4 ‐independent increased frequency of amyloid‐positivity (β=0.51[0.22], p = 0.02) in CU and increase of tau‐positivity in both AB+CU (β=0.27[0.08]) and AB+CI (β=0.37[0.08], both p <0.01). Remarkably, tau‐positivity frequencies of female APOEε4 non‐carriers were equivalent to male APOEε4 carriers in AB+CI (Figure 1). No significant sex* APOE interactions were observed. In CU, higher education was associated with lower amyloid‐positivity frequency (β=‐0.12[0.05], p = 0.02). In contrast, among AB+CU, there was an age*education interaction effect that indicated more pronounced age effects on tau‐positivity in individuals with higher education (age*education:β interaction =0.03[0.01], p <0.01). There were no education effects in AB+CI (Figure 2). In CU, an age*race/ethnicity interaction effect was observed across all non‐White groups compared to White (Hispanic:β interaction =‐0.05[0.01], p <0.01; Black:‐0.04[0.01], p <0.01; Asian:‐0.02[0.01], p = 0.04). This suggests that the impact of age on amyloid‐positivity was less pronounced in non‐White groups. Furthermore, in AB+CI, Hispanic ethnicity was related to higher tau‐positivity frequency than White (β=0.51[0.22], p = 0.02; Figure 3). Conclusion In this multi‐center initiative comprised of clinical and community‐based cohorts, we observed that self‐reported sex, educational attainment and race/ethnicity were related to positivity‐frequencies of Alzheimer's disease pathology.
Depressive Symptoms and Amyloid Pathology
Oomens, Julie Elisabeth , Engelborghs, Sebastiaan , Arnim, Christine A. F. Von , Boada, Merçé , Didic, Mira , Dubois, Bruno, Fröhlich, Lutz, Gill, Kiran Dip, Grimmer, Timo, Hildebrandt, Helmut , Itoh, Yoshiaki , Lee, Dong Young , Lleó, Alberto, Meyer, Philipp T. , Kapaki, Elisabeth, Pardini, Matteo , Popp, Julius , Rami, Lorena , Reiman, Eric M. , Rinne, Juha O. , Sánchez‐Juan, Pascual, Sarazin, Marie , Scarmeas, Nikolaos , Villeneuve, Sylvia , Wallin, Anders, Vos, Stephanie J. B. , Jansen, Willemijn J. , group, Amyloid Biomarker Study, Altomare, Daniele , Baldeiras, Inês , Blennow, Kaj, Braber, Anouk den , Cerman, Jiří , Chipi, Elena , Eckerström, Marie , Ekblad, Laura L. , Förster, Stefan , Guedj, Éric , Hausner, Lucrezia , Huey, Edward D. , Jiménez‐Bonilla, J., Johnson, Keith A. , Juaristi, Arantxa, Kern, Silke , Kirsebom, Bjørn‐Eivind , Landau, Susan , Legdeur, Nienke , Guerra, Jorge J. Llibre, Maserejian, Nancy N., Marquié, Marta , Minatani, Shinobu, Olivieri, Pauline , Perrin, Richard J., Peters, Oliver , Prabhakar, Sudesh, Ramakers, Inez H., Rodríguez‐Rodríguez, Eloy , Ruiz, Agustín, Rüther, E., Selnes, Per , Spiru, Luiza , Takeda, Akitoshi , Teichmann, Marc , Thompson, Loisa I., Vogelgsangs, Jonathan, Wallin, Åsa K., Zettergren, Anna , Frisoni, Giovanni B. , Boada, Merce , Oomens, Julie E , Bottlaender, Michel , Wiels, Wietse A. , Baeken, Chris , Dubois, Bruno , Fladby, Tormod , Flier, Wiesje M. van der , Frisoni, Giovanni B. , Fröhlich, Lutz, Grimmer, Timo , Hort, Jakub , Iwatsubo, Takeshi , Klimkowicz‐Mrowiec, Aleksandra , Lleó, Alberto , Martínez‐Lage, Pablo , Mendonça, Alexandre de , Parchi, Piero , Parnetti, Lucilla , Rodrigue, Karen M. , Santana, Isabel , Skoog, Ingmar , Snyder, Peter J. , Sperling, Reisa Anne , Wiltfang, Jens , Zetterberg, Henrik , Ossenkoppele, Rik , Verhey, Frans R.J. , Visser, Pieter Jelle , Alcolea, Daniel , Baiardi, Simone , Bateman, Randall J. , Blennow, Kaj , Buchem, Mark A. van , Byun, Min Soo , Chen, Kewei , Day, Gregory S. , Drzezga, Alexander E. , Epelbaum, Stéphane , Fortea, Juan , Freund‐Levi, Yvonne , Frings, Lars , Hellwig, Sabine , Kandimalla, Ramesh , Paraskevas, George P. , Kornhuber, Johannes , Lagarde, Julien , Morbelli, Silvia , Mroczko, Barbara , Ntanasi, Eva , Oliveira, Catarina Resende , Olivieri, Pauline , Orellana, Adelina , Ruiz, Agustı́n , Silva, Dina , Soininen, Hilkka S. , Tijms, Betty M. , Teunissen, Charlotte E. , Vöglein, Jonathan , Waldemar, Gunhild , Yannakoulia, Mary , Yi, Dahyun

JAMA Psychiatry | January 22, 2025 | Volume: 82 | Issue: 3 | Pages: 296

10.1001/jamapsychiatry.2024.4305 Get It

Importance Depressive symptoms are associated with cognitive decline in older individuals. Uncertainty about underlying mechanisms hampers diagnostic and therapeutic efforts. This large-scale study aimed to elucidate the association between depressive symptoms and amyloid pathology. Objective To examine the association between depressive symptoms and amyloid pathology and its dependency on age, sex, education, and APOE genotype in older individuals without dementia. Design, Setting, and Participants Cross-sectional analyses were performed using data from the Amyloid Biomarker Study data pooling initiative. Data from 49 research, population-based, and memory clinic studies were pooled and harmonized. The Amyloid Biomarker Study has been collecting data since 2012 and data collection is ongoing. At the time of analysis, 95 centers were included in the Amyloid Biomarker Study. The study included 9746 individuals with normal cognition (NC) and 3023 participants with mild cognitive impairment (MCI) aged between 34 and 100 years for whom data on amyloid biomarkers, presence of depressive symptoms, and age were available. Data were analyzed from December 2022 to February 2024. Main Outcomes and Measures Amyloid-β1-42 levels in cerebrospinal fluid or amyloid positron emission tomography scans were used to determine presence or absence of amyloid pathology. Presence of depressive symptoms was determined on the basis of validated depression rating scale scores, evidence of a current clinical diagnosis of depression, or self-reported depressive symptoms. Results In individuals with NC (mean [SD] age, 68.6 [8.9] years; 5664 [58.2%] female; 3002 [34.0%] APOE ε4 carriers; 937 [9.6%] had depressive symptoms; 2648 [27.2%] had amyloid pathology), the presence of depressive symptoms was not associated with amyloid pathology (odds ratio [OR], 1.13; 95% CI, 0.90-1.40; P = .29). In individuals with MCI (mean [SD] age, 70.2 [8.7] years; 1481 [49.0%] female; 1046 [44.8%] APOE ε4 carriers; 824 [27.3%] had depressive symptoms; 1668 [55.8%] had amyloid pathology), the presence of depressive symptoms was associated with a lower likelihood of amyloid pathology (OR, 0.73; 95% CI 0.61-0.89; P = .001). When considering subgroup effects, in individuals with NC, the presence of depressive symptoms was associated with a higher frequency of amyloid pathology in APOE ε4 noncarriers (mean difference, 5.0%; 95% CI 1.0-9.0; P = .02) but not in APOE ε4 carriers. This was not the case in individuals with MCI. Conclusions and Relevance Depressive symptoms were not consistently associated with a higher frequency of amyloid pathology in participants with NC and were associated with a lower likelihood of amyloid pathology in participants with MCI. These findings were not influenced by age, sex, or education level. Mechanisms other than amyloid accumulation may commonly underlie depressive symptoms in late life.
Comparison of Pittsburgh compound B and florbetapir in cross‐sectional and longitudinal studies
Flores, Shaney , Wang, Guoqiao , Hornbeck, Russ C. , Speidel, Benjamin , Joseph‐Mathurin, Nelly , Vlassenko, Andrei G. , Gordon, Brian A. , Klunk, William E. , Jack, Clifford R. , Farlow, Martin R. , Salloway, Stephen , Snider, Barbara J., Berman, Sarah , Roberson, Erik D. , Brosch, Jared R. , Jimenez-Velazques, Ivonne, Dyck, Christopher H. van , Yuan, Shauna H. , Jayadev, Suman , Gauthier, Serge , Hsiung, Ging‐Yuek Robin , Brooks, William S. , Fulham, Michael , Clarnette, Roger, Masters, Colin L. , Wallon, David , Hannequin, Didier , Dubois, Bruno , Pariente, Jérémie , Sánchez‐Valle, Raquel , Mummery, Catherine J. , Ringman, John M. , Klein, Gregory , Milosavljevic‐Ristic, Smiljana, Morris, John C. , Bateman, Randall J. , Jack, Clifford R , Gordon, Brian A , Hsiung, Gink-Yuek , Roberson, Erik , Sánchez-Valle, Raquel , Bateman, Randall J , Masters, Colin L , Joseph-Mathurin, Nelly , Morris, John C , Brooks, William , Su, Yi , Koeppe, Robert A. , Galasko, Douglas , Honig, Lawrence S. , Masellis, Mario , Bottlaender, Michel , McDade, Eric , Xiong, Chengjie , Benzinger, Tammie L.S. , Berman, Sarah

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | February 23, 2019 | Volume: 11 | Issue: 1 | Pages: 180-190

10.1016/j.dadm.2018.12.008 Get It

Abstract Introduction Quantitative in vivo measurement of brain amyloid burden is important for both research and clinical purposes. However, the existence of multiple imaging tracers presents challenges to the interpretation of such measurements. This study presents a direct comparison of Pittsburgh compound B–based and florbetapir‐based amyloid imaging in the same participants from two independent cohorts using a crossover design. Methods Pittsburgh compound B and florbetapir amyloid PET imaging data from three different cohorts were analyzed using previously established pipelines to obtain global amyloid burden measurements. These measurements were converted to the Centiloid scale to allow fair comparison between the two tracers. The mean and inter‐individual variability of the two tracers were compared using multivariate linear models both cross‐sectionally and longitudinally. Results Global amyloid burden measured using the two tracers were strongly correlated in both cohorts. However, higher variability was observed when florbetapir was used as the imaging tracer. The variability may be partially caused by white matter signal as partial volume correction reduces the variability and improves the correlations between the two tracers. Amyloid burden measured using both tracers was found to be in association with clinical and psychometric measurements. Longitudinal comparison of the two tracers was also performed in similar but separate cohorts whose baseline amyloid load was considered elevated (i.e., amyloid positive). No significant difference was detected in the average annualized rate of change measurements made with these two tracers. Discussion Although the amyloid burden measurements were quite similar using these two tracers as expected, difference was observable even after conversion into the Centiloid scale. Further investigation is warranted to identify optimal strategies to harmonize amyloid imaging data acquired using different tracers.