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Förster, Stefan

https://orcid.org/0000-0003-3008-3268

Mayo Clinic

Bayreuth Medical Center

Citations 5

Associations of lifestyle factors with amyloid pathology in persons without dementia
Oomens, Julie Elisabeth , Vos, Stephanie J. B. , Maserejian, Nancy N., Didic, Mira , Engelborghs, Sebastiaan , Fladby, Tormod, Fröhlich, Lutz, Gill, Kiran Dip, Grimmer, Timo, Itoh, Yoshiaki , Landau, Susan, Lleó, Alberto, Meyer, Philipp T. , Pardini, Matteo , Rami, Lorena , Reiman, Eric M. , Rinne, Juha O. , Sánchez‐Juan, Pascual, Scarmeas, Nikolaos , Villeneuve, Sylvia , Waldemar, Gunhild , Alcolea, Daniel, Altomare, Daniele , Baldeiras, Inês , Blennow, Kaj , Cerman, Jiří , Chipi, Elena , Day, Gregory S. , Förster, Stefan , Frings, Lars , Guedj, Éric , Habeck, Christian , Hausner, Lucrezia , Jiménez‐Bonilla, J., Juaristi, Arantxa, Kern, Silke , Kirsebom, Bjørn‐Eivind , Legdeur, Nienke , Xiong, Chengjie , Maier, W., Marquié, Marta, Minatani, Shinobu, Prabhakar, Sudesh, Ramakers, Inez H.G.B. , Rodríguez‐Rodríguez, Eloy , Ruiz, Agustín, Rüther, E., Sakhardande, Jayant, Selnes, Per, Spiru, Luiza , Vermunt, Lisa , Wallin, Åsa K., Zettergren, Anna , (ADNI), for the Alzheimer's Disease Neuroimaging Initiative, group, A4 Study, (DIAN), Dominantly Inherited Alzheimer Network, (KBASE), Japan Alzheimer's Disease Neuroimaging Initiative (J-ADNI), Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease, Ossenkoppele, Rik, Verhey, Frans RJ, Visser, Pieter Jelle, Jansen, Willemijn J, Marquié, Marta , Selnes, Per , Day, Gregory S , Xiong, Chengjie , Oomens, Julie E , Boada, Merçé , Fladby, Tormod , Flier, Wiesje M. van der , Frisoni, Giovanni B. , Fröhlich, Lutz, Grimmer, Timo , Hort, Jakub , Iwatsubo, Takeshi , Klimkowicz‐Mrowiec, Aleksandra , Lee, Dong Young , Lleó, Alberto , Martínez‐Lage, Pablo , Mendonça, Alexandre de , Parchi, Piero , Parnetti, Lucilla , Popp, Julius , Rodrigue, Karen M. , Santana, Isabel , Scheltens, Philip , Skoog, Ingmar , Sperling, Reisa Anne , Stern, Yaakov , Wiltfang, Jens , Zetterberg, Henrik , Alcolea, Daniel , Allegri, Ricardo , Bateman, Randall J. , Baiardi, Simone , Braber, Anouk den , Buchem, Mark A. van , Byun, Min Soo , Chen, Kewei , Drzezga, Alexander E. , Ekblad, Laura L. , Fortea, Juan , Freund‐Levi, Yvonne , Handels, Ron , Hellwig, Sabine , Kandimalla, Ramesh , Kornhuber, Johannes , Morbelli, Silvia , Mroczko, Barbara , Ntanasi, Eva , Oliveira, Catarina Resende , Orellana, Adelina , Peters, Oliver , Ruiz, Agustı́n , Silva, Dina , Soininen, Hilkka S. , Takeda, Akitoshi , Teunissen, Charlotte E. , Tijms, Betty M. , Wiels, Wietse A. , Yannakoulia, Mary , Yi, Dahyun , (ADNI), for the Alzheimer's Disease Neuroimaging Initiative, group, A4 Study, (DIAN), Dominantly Inherited Alzheimer Network, (KBASE), Japan Alzheimer's Disease Neuroimaging Initiative (J-ADNI), Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease, Ossenkoppele, Rik, Verhey, Frans R.J. , Visser, Pieter Jelle , Jansen, Willemijn J.

Journal of Alzheimer’s Disease | November 14, 2025 | Volume: 108 | Issue: 3 | Pages: 1043-1059

10.1177/13872877251379083 Get It

Background The association between lifestyle factors and Alzheimer's disease (AD) pathophysiology remains incompletely understood. Objective The aim of this study was to assess the association of alcohol consumption, smoking behavior, sleep quality and physical, cognitive, and social activity with cerebral amyloid pathology. Methods For this cross-sectional study, we selected participants from the Amyloid Biomarker Study data pooling initiative. We used generalized estimating equations to assess associations of dichotomized lifestyle measures with amyloid pathology. Results We included 9171 participants with normal cognition (NC) and 2555 participants with mild cognitive impairment (MCI) from the Amyloid Biomarker Study. Of participants with NC, 58% were women, 34% were APOE ε4 carrier, and 27% had amyloid pathology. Of participants with MCI, 48% were women, 47% were APOE ε4 carrier, and 57% had amyloid pathology. In NC, cognitively active participants were less likely to have amyloid pathology (OR = 0.77, 95%CI 0.66–0.89, p < 0.001). In MCI, participants who had ever smoked or had sleep problems were less likely to have amyloid pathology (OR = 0.85, 95%CI 0.73–0.99, p = 0.029; OR = 0.62, 95%CI 0.45–0.86, p = 0.004). Conclusions In NC, cognitive activity was associated with a lower frequency of amyloid pathology. In MCI, favorable lifestyle behaviors were not associated with a lower frequency of amyloid pathology. The results of the current study contribute to the broader evidence base on lifestyle and AD by further characterizing the role of lifestyle behaviors in AD pathology across different clinical stages.
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.
O2‐03‐02: are White Matter Hyperintensities a Core Feature of Alzheimer’s Disease or Just a Reflection of Amyloid Angiopathy? Evidence From the Dominantly Inherited Alzheimer Network (DIAN)
Zimmerman, Molly E. , Viqar, Fawad, Narkhede, Atul, Benzinger, Tammie Lee Smith, Marcus, Daniel S., Cairns, Nigel J. , Buckles, Virginia, Saykin, Andy J., Ringman, John M. , Ryan, Natalie S. , Förster, Stefan , Laske, Christoph , Salloway, Stephen , Correia, Stephen , Weiner, Michael W. , Mayeux, Richard , Lee, Seonjoo , Tosto, Giuseppe , Goate, Alison , Fox, Nick C. , Holtzman, David M. , Ghetti, Bernardino , McDade, Eric , Martins, Ralph N. , Saykin, Andy J., Masters, Colin L. , Schofield, Peter R. , Sperling, Reisa Anne , Bateman, Randall J. , Morris, John C. , Jack, Clifford R. , Brickman, Adam M.

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_4 | Pages: No page available

10.1016/j.jalz.2016.06.406 Get It

White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network
Lee, Seonjoo , Viqar, Fawad, Zimmerman, Molly E. , Narkhede, Atul, Benzinger, Tammie L.S. , Marcus, Daniel S. , Fagan, Anne M. , Goate, Alison , Fox, Nick C. , Cairns, Nigel J., Buckles, Virginia, Martins, Ralph N. , Saykin, Andrew J. , Masters, Colin L. , Ringman, John M. , Ryan, Natalie S. , Förster, Stefan , Laske, Christoph , Schofield, Peter R. , Salloway, Stephen , Correia, Stephen , Jack, Clifford R. , Weiner, Michael W. , Bateman, Randall J. , Morris, John C. , Mayeux, Richard , Network, for the Dominantly Inherited Alzheimer, Tosto, Giuseppe , Holtzman, David M. , Ghetti, Bernardino , McDade, Eric , Sperling, Reisa Anne , Brickman, Adam M. , Network, for the Dominantly Inherited Alzheimer, Jack, Clifford R , Saykin, Andrew J , Schofield, Peter R , Bateman, Randall J , Masters, Colin L , Benzinger, Tammie L S , Fox, Nick C , Morris, John C , Goate, Alison M

Annals of Neurology | March 26, 2016 | Volume: 79 | Issue: 6 | Pages: 929-939

10.1002/ana.24647 Get It

ObjectiveWhite matter hyperintensities (WMHs) are areas of increased signal on T2‐weighted magnetic resonance imaging (MRI) scans that most commonly reflect small vessel cerebrovascular disease. Increased WMH volume is associated with risk and progression of Alzheimer's disease (AD). These observations are typically interpreted as evidence that vascular abnormalities play an additive, independent role contributing to symptom presentation, but not core features of AD. We examined the severity and distribution of WMH in presymptomatic PSEN1, PSEN2, and APP mutation carriers to determine the extent to which WMH manifest in individuals genetically determined to develop AD.MethodsThe study comprised participants (n = 299; age = 39.03 ± 10.13) from the Dominantly Inherited Alzheimer Network, including 184 (61.5%) with a mutation that results in AD and 115 (38.5%) first‐degree relatives who were noncarrier controls. We calculated the estimated years from expected symptom onset (EYO) by subtracting the affected parent's symptom onset age from the participant's age. Baseline MRI data were analyzed for total and regional WMH. Mixed‐effects piece‐wise linear regression was used to examine WMH differences between carriers and noncarriers with respect to EYO.ResultsMutation carriers had greater total WMH volumes, which appeared to increase approximately 6 years before expected symptom onset. Effects were most prominent for the parietal and occipital lobe, which showed divergent effects as early as 22 years before estimated onset.InterpretationAutosomal‐dominant AD is associated with increased WMH well before expected symptom onset. The findings suggest the possibility that WMHs are a core feature of AD, a potential therapeutic target, and a factor that should be integrated into pathogenic models of the disease. Ann Neurol 2016;79:929–939