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Johnson, Keith A.

https://orcid.org/0000-0002-4685-5173

Mayo Clinic

Harvard University

Citations 2

Sex Differences in Longitudinal Tau-PET in Preclinical Alzheimer Disease
Coughlan, Gillian , Klinger, Hannah M , Boyle, Rory , Binette, Alexa Pichet , Christenson, Luke R., Chadwick, Trevor, Healy, Brian C. , Jonaitis, Erin M. , Jack, Clifford R. , Johnson, Keith A. , Langhough, Rebecca E., Properzi, Michael J , Seto, Mabel , Johnson, Sterling C., Shirzadi, Zahra , Yau, Wai‐Ying Wendy , Initiative, Alzheimer’s Disease Neuroimaging, Hurko, Orest, Black, Sanra E, Doody, Rachelle S., Doraiswamy, Murali, Gamst, Anthony, Scharre, Doug, Sperling, Reisa, Weiner, Michael W. , Green, Robert C, Christenson, Luke, Jack, Clifford R , Pichet Binette, Alexa , Betthauser, Tobey J. , Hansson, Oskar , Harrison, Theresa M. , Jacobs, Heidi I.L. , Hanseeuw, Bernard , Rentz, Dorene M. , Schultz, Aaron P. , Smith, Ruben , Johnson, Sterling C. , Mielke, Michelle M. , Manson, JoAnn E. , Sperling, Reisa Anne , Vemuri, Prashanthi , Buckley, Rachel F. , Initiative, Alzheimer’s Disease Neuroimaging, Black, Sanra E, Kaye, Jeffrey , Obisesan, Thomas O. , Rusinek, Henry

JAMA Neurology | March 3, 2025 | Volume: 82 | Issue: 4 | Pages: 364

10.1001/jamaneurol.2025.0013 Get It

Importance Alzheimer disease (AD) predominates in females at almost twice the rate relative to males. Mounting evidence in adults without AD indicates that females exhibit higher tau deposition than age-matched males, particularly in the setting of elevated β-amyloid (Aβ), but the evidence for sex differences in tau accumulation rates is inconclusive. Objective To examine whether female sex is associated with faster tau accumulation in the setting of high Aβ (as measured with positron emission tomography [PET]) and the moderating influence of sex on the association between APOE ε4 carrier status and tau accumulation. Data Sources This meta-analysis used data from 6 longitudinal aging and AD studies, including the Alzheimer’s Disease Neuroimaging Initiative, Berkeley Aging Cohort Study, BioFINDER 1, Harvard Aging Brain Study, Mayo Clinic Study of Aging, and Wisconsin Registry for Alzheimer Prevention. Longitudinal data were collected between November 2004 and May 2022. Study Selection Included studies required available longitudinal [ 18 F]flortaucipir or [ 18 F]-MK-6240 tau-PET scans, as well as baseline [ 11 C] Pittsburgh Compound B, [ 18 F]flutemetamol or [ 18 F]florbetapir Aβ-PET scans. Recruitment criteria varied across studies. Analyses began on August 7, 2023, and were completed on February 5, 2024. Data Extraction and Synthesis In each study, primary analyses extracted estimates for the sex (female or male) and the sex by baseline Aβ-PET status (high or low) association with longitudinal tau-PET using a series of mixed-effects models. Secondary mixed-effects models extracted the interaction estimate for the association of sex by APOE ε4 carrier status with longitudinal tau-PET. Study-specific estimates for each mixed-effects model were then pooled in a meta-analysis, and the global fixed effect (β) and total heterogeneity ( I 2 ) across studies were estimated. This study is reported following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Main Outcomes and Measures Seven tau-PET outcomes that showed cross-sectional sex differences were examined across temporal, parietal, and occipital lobes. Results Among 6 studies assessed, there were 1376 participants (761 [55%] female; mean [range] age at first tau scan, 71.9 [46-93] years; 401 participants [29%] with high baseline Aβ; 412 APOE ε4 carriers [30%]). Among individuals with high baseline Aβ, female sex was associated with faster tau accumulation localized to inferior temporal (β = −0.14; 95% CI, −0.22 to −0.06; P = .009) temporal fusiform (β = −0.13; 95% CI, −0.23 to −0.04; P = .02), and lateral occipital regions (β = −0.15; 95% CI, −0.24 to −0.06; P = .009) compared with male sex. Among APOE ε4 carriers, female sex was associated with faster inferior-temporal tau accumulation (β = −0.10; 95% CI, −0.16 to −0.03; P = .01). Conclusions and Relevance These findings suggest that sex differences in the pathological progression of AD call for sex-specific timing considerations when administrating anti-Aβ and anti-tau treatments.
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.