Browsing by Author "Mori, Hiroshi"
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Item 15 Years of Longitudinal Genetic, Clinical, Cognitive, Imaging, and Biochemical Measures in DIAN(medRxiv, 2024-08-09) Daniels, Alisha J.; McDade, Eric; Llibre-Guerra, Jorge J.; Xiong, Chengjie; Perrin, Richard J.; Ibanez, Laura; Supnet-Bell, Charlene; Cruchaga, Carlos; Goate, Alison; Renton, Alan E.; Benzinger, Tammie L. S.; Gordon, Brian A.; Hassenstab, Jason; Karch, Celeste; Popp, Brent; Levey, Allan; Morris, John; Buckles, Virginia; Allegri, Ricardo F.; Chrem, Patricio; Berman, Sarah B.; Chhatwal, Jasmeer P.; Farlow, Martin R.; Fox, Nick C.; Day, Gregory S.; Ikeuchi, Takeshi; Jucker, Mathias; Lee, Jae-Hong; Levin, Johannes; Lopera, Francisco; Takada, Leonel; Sosa, Ana Luisa; Martins, Ralph; Mori, Hiroshi; Noble, James M.; Salloway, Stephen; Huey, Edward; Rosa-Neto, Pedro; Sánchez-Valle, Raquel; Schofield, Peter R.; Roh, Jee Hoon; Bateman, Randall J.; Dominantly Inherited Alzheimer Network; Neurology, School of MedicineThis manuscript describes and summarizes the Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs), highlighting the wealth of longitudinal data, samples, and results from this human cohort study of brain aging and a rare monogenic form of Alzheimer's disease (AD). DIAN Obs is an international collaborative longitudinal study initiated in 2008 with support from the National Institute on Aging (NIA), designed to obtain comprehensive and uniform data on brain biology and function in individuals at risk for autosomal dominant AD (ADAD). ADAD gene mutations in the amyloid protein precursor (APP), presenilin 1 (PSEN1), or presenilin 2 (PSEN2) genes are deterministic causes of ADAD, with virtually full penetrance, and a predictable age at symptomatic onset. Data and specimens collected are derived from full clinical assessments, including neurologic and physical examinations, extensive cognitive batteries, structural and functional neuro-imaging, amyloid and tau pathological measures using positron emission tomography (PET), flurordeoxyglucose (FDG) PET, cerebrospinal fluid and blood collection (plasma, serum, and whole blood), extensive genetic and multi-omic analyses, and brain donation upon death. This comprehensive evaluation of the human nervous system is performed longitudinally in both mutation carriers and family non-carriers, providing one of the deepest and broadest evaluations of the human brain across decades and through AD progression. These extensive data sets and samples are available for researchers to address scientific questions on the human brain, aging, and AD.Item Autosomal dominant and sporadic late onset Alzheimer's disease share a common in vivo pathophysiology(Oxford University Press, 2022) Morris, John C.; Weiner, Michael; Xiong, Chengjie; Beckett, Laurel; Coble, Dean; Saito, Naomi; Aisen, Paul S.; Allegri, Ricardo; Benzinger, Tammie L. S.; Berman, Sarah B.; Cairns, Nigel J.; Carrillo, Maria C.; Chui, Helena C.; Chhatwal, Jasmeer P.; Cruchaga, Carlos; Fagan, Anne M.; Farlow, Martin; Fox, Nick C.; Ghetti, Bernardino; Goate, Alison M.; Gordon, Brian A.; Graff-Radford, Neill; Day, Gregory S.; Hassenstab, Jason; Ikeuchi, Takeshi; Jack, Clifford R.; Jagust, William J.; Jucker, Mathias; Levin, Johannes; Massoumzadeh, Parinaz; Masters, Colin L.; Martins, Ralph; McDade, Eric; Mori, Hiroshi; Noble, James M.; Petersen, Ronald C.; Ringman, John M.; Salloway, Stephen; Saykin, Andrew J.; Schofield, Peter R.; Shaw, Leslie M.; Toga, Arthur W.; Trojanowski, John Q.; Vöglein, Jonathan; Weninger, Stacie; Bateman, Randall J.; Buckles, Virginia D.; Dominantly Inherited Alzheimer Network; Alzheimer’s Disease Neuroimaging and Initiative; Neurology, School of MedicineThe extent to which the pathophysiology of autosomal dominant Alzheimer's disease corresponds to the pathophysiology of 'sporadic' late onset Alzheimer's disease is unknown, thus limiting the extrapolation of study findings and clinical trial results in autosomal dominant Alzheimer's disease to late onset Alzheimer's disease. We compared brain MRI and amyloid PET data, as well as CSF concentrations of amyloid-β42, amyloid-β40, tau and tau phosphorylated at position 181, in 292 carriers of pathogenic variants for Alzheimer's disease from the Dominantly Inherited Alzheimer Network, with corresponding data from 559 participants from the Alzheimer's Disease Neuroimaging Initiative. Imaging data and CSF samples were reprocessed as appropriate to guarantee uniform pipelines and assays. Data analyses yielded rates of change before and after symptomatic onset of Alzheimer's disease, allowing the alignment of the ∼30-year age difference between the cohorts on a clinically meaningful anchor point, namely the participant age at symptomatic onset. Biomarker profiles were similar for both autosomal dominant Alzheimer's disease and late onset Alzheimer's disease. Both groups demonstrated accelerated rates of decline in cognitive performance and in regional brain volume loss after symptomatic onset. Although amyloid burden accumulation as determined by PET was greater after symptomatic onset in autosomal dominant Alzheimer's disease than in late onset Alzheimer's disease participants, CSF assays of amyloid-β42, amyloid-β40, tau and p-tau181 were largely overlapping in both groups. Rates of change in cognitive performance and hippocampal volume loss after symptomatic onset were more aggressive for autosomal dominant Alzheimer's disease participants. These findings suggest a similar pathophysiology of autosomal dominant Alzheimer's disease and late onset Alzheimer's disease, supporting a shared pathobiological construct.Item Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning(Elsevier, 2020-06) Castillo-Barne, Diego; Su, Li; Ramírez, Javier; Salas-Gonzalez, Diego; Martinez-Murcia, Francisco J.; Illan, Ignacio A.; Segovia, Fermin; Ortiz, Andres; Cruchaga, Carlos; Farlow, Martin R.; Xiong, Chengjie; Graff-Radford, Neil R.; Schofield, Peter R.; Masters, Colin L.; Salloway, Stephen; Jucker, Mathias; Mori, Hiroshi; Levin, Johannes; Gorriz, Juan M.; Neurology, School of MedicineDespite subjects with Dominantly-Inherited Alzheimer's Disease (DIAD) represent less than 1% of all Alzheimer's Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact in the understanding of AD disease course with special emphasis on the presyptomatic disease phase. Until now, the 3 genes involved in DIAD pathogenesis (PSEN1, PSEN2 and APP) have been commonly merged into one group (Mutation Carriers, MC) and studied using conventional statistical analysis. Comparisons between groups using null-hypothesis testing or longitudinal regression procedures, such as the linear-mixed-effects models, have been assessed in the extant literature. Within this context, the work presented here performs a comparison between different groups of subjects by considering the 3 genes, either jointly or separately, and using tools based on Machine Learning (ML). This involves a feature selection step which makes use of ANOVA followed by Principal Component Analysis (PCA) to determine which features would be realiable for further comparison purposes. Then, the selected predictors are classified using a Support-Vector-Machine (SVM) in a nested k-Fold cross-validation resulting in maximum classification rates of 72-74% using PiB PET features, specially when comparing asymptomatic Non-Carriers (NC) subjects with asymptomatic PSEN1 Mutation-Carriers (PSEN1-MC). Results obtained from these experiments led to the idea that PSEN1-MC might be considered as a mixture of two different subgroups including: a first group whose patterns were very close to NC subjects, and a second group much more different in terms of imaging patterns. Thus, using a k-Means clustering algorithm it was determined both subgroups and a new classification scenario was conducted to validate this process. The comparison between each subgroup vs. NC subjects resulted in classification rates around 80% underscoring the importance of considering DIAN as an heterogeneous entity.Item Awareness of Genetic Risk in the Dominantly Inherited Alzheimer Network (DIAN)(Wiley, 2020-01) Aschenbrenner, Andrew J.; James, Bryan D.; McDade, Eric; Wang, Guoqiao; Lim, Yen Ying; Benzinger, Tammie L.S.; Cruchaga, Carlos; Goate, Alison; Xiong, Chengjie; Perrin, Richard; Buckles, Virginia; Allegri, Ricardo; Berman, Sarah B.; Chhatwal, Jasmeer P.; Fagan, Anne; Farlow, Martin; O'Connor, Antoinette; Ghetti, Bernardino; Graff-Radford, Neill; Goldman, Jill; Gräber, Susanne; Karch, Celeste M.; Lee, Jae-Hong; Levin, Johannes; Martins, Ralph N.; Masters, Colin; Mori, Hiroshi; Noble, James; Salloway, Stephen; Schofield, Peter; Morris, John C.; Bateman, Randall J.; Hassenstab, Jason; Neurology, School of MedicineIntroduction: Although some members of families with autosomal dominant Alzheimer's disease mutations learn their mutation status, most do not. How knowledge of mutation status affects clinical disease progression is unknown. This study quantifies the influence of mutation awareness on clinical symptoms, cognition, and biomarkers. Methods: Mutation carriers and non-carriers from the Dominantly Inherited Alzheimer Network (DIAN) were stratified based on knowledge of mutation status. Rates of change on standard clinical, cognitive, and neuroimaging outcomes were examined. Results: Mutation knowledge had no associations with cognitive decline, clinical progression, amyloid deposition, hippocampal volume, or depression in either carriers or non-carriers. Carriers who learned their status mid-study had slightly higher levels of depression and lower cognitive scores. Discussion: Knowledge of mutation status does not affect rates of change on any measured outcome. Learning of status mid-study may confer short-term changes in cognitive functioning, or changes in cognition may influence the determination of mutation status.Item Axonal damage and inflammation response are biological correlates of decline in small-world values: a cohort study in autosomal dominant Alzheimer's disease(Oxford University Press, 2024-10-09) Vermunt, Lisa; Sutphen, Courtney L.; Dicks, Ellen; de Leeuw, Diederick M.; Allegri, Ricardo F.; Berman, Sarah B.; Cash, David M.; Chhatwal, Jasmeer P.; Cruchaga, Carlos; Day, Gregory S.; Ewers, Michael; Farlow, Martin R.; Fox, Nick C.; Ghetti, Bernardino; Graff-Radford, Neill R.; Hassenstab, Jason; Jucker, Mathias; Karch, Celeste M.; Kuhle, Jens; Laske, Christoph; Levin, Johannes; Masters, Colin L.; McDade, Eric; Mori, Hiroshi; Morris, John C.; Perrin, Richard J.; Preische, Oliver; Schofield, Peter R.; Suárez-Calvet, Marc; Xiong, Chengjie; Scheltens, Philip; Teunissen, Charlotte E.; Visser, Pieter Jelle; Bateman, Randall J.; Benzinger, Tammie L. S.; Fagan, Anne M.; Gordon, Brian A.; Tijms, Betty M.; Pathology and Laboratory Medicine, School of MedicineThe grey matter of the brain develops and declines in coordinated patterns during the lifespan. Such covariation patterns of grey matter structure can be quantified as grey matter networks, which can be measured with magnetic resonance imaging. In Alzheimer's disease, the global organization of grey matter networks becomes more random, which is captured by a decline in the small-world coefficient. Such decline in the small-world value has been robustly associated with cognitive decline across clinical stages of Alzheimer's disease. The biological mechanisms causing this decline in small-world values remain unknown. Cerebrospinal fluid (CSF) protein biomarkers are available for studying diverse pathological mechanisms in humans and can provide insight into decline. We investigated the relationships between 10 CSF proteins and small-world coefficient in mutation carriers (N = 219) and non-carriers (N = 136) of the Dominantly Inherited Alzheimer Network Observational study. Abnormalities in Amyloid beta, Tau, synaptic (Synaptosome associated protein-25, Neurogranin) and neuronal calcium-sensor protein (Visinin-like protein-1) preceded loss of small-world coefficient by several years, while increased levels in CSF markers for inflammation (Chitinase-3-like protein 1) and axonal injury (Neurofilament light) co-occurred with decreasing small-world values. This suggests that axonal loss and inflammation play a role in structural grey matter network changes.Item Comparative Analysis of Alzheimer's Disease Cerebrospinal Fluid Biomarkers Measurement by Multiplex SOMAscan Platform and Immunoassay-Based Approach(IOS Press, 2022) Timsina, Jigyasha; Gomez-Fonseca, Duber; Wang, Lihua; Do, Anh; Western, Dan; Alvarez, Ignacio; Aguilar, Miquel; Pastor, Pau; Henson, Rachel L.; Herries, Elizabeth; Xiong, Chengjie; Schindler, Suzanne E.; Fagan, Anne M.; Bateman, Randall J.; Farlow, Martin; Morris, John C.; Perrin, Richard J.; Moulder, Krista; Hassenstab, Jason; Vöglein, Jonathan; Chhatwal, Jasmeer; Mori, Hiroshi; Alzheimer’s Disease Neuroimaging Initiative; Dominantly Inherited Alzheimer Network Consortia; Sung, Yun Ju; Cruchaga, Carlos; Neurology, School of MedicineBackground: The SOMAscan assay has an advantage over immunoassay-based methods because it measures a large number of proteins in a cost-effective manner. However, the performance of this technology compared to the routinely used immunoassay techniques needs to be evaluated. Objective: We performed comparative analyses of SOMAscan and immunoassay-based protein measurements for five cerebrospinal fluid (CSF) proteins associated with Alzheimer's disease (AD) and neurodegeneration: NfL, Neurogranin, sTREM2, VILIP-1, and SNAP-25. Methods: We compared biomarkers measured in ADNI (N = 689), Knight-ADRC (N = 870), DIAN (N = 115), and Barcelona-1 (N = 92) cohorts. Raw protein values were transformed using z-score in order to combine measures from the different studies. sTREM2 and VILIP-1 had more than one analyte in SOMAscan; all available analytes were evaluated. Pearson's correlation coefficients between SOMAscan and immunoassays were calculated. Receiver operating characteristic curve and area under the curve were used to compare prediction accuracy of these biomarkers between the two platforms. Results: Neurogranin, VILIP-1, and NfL showed high correlation between SOMAscan and immunoassay measures (r > 0.9). sTREM2 had a fair correlation (r > 0.6), whereas SNAP-25 showed weak correlation (r = 0.06). Measures in both platforms provided similar predicted performance for all biomarkers except SNAP-25 and one of the sTREM2 analytes. sTREM2 showed higher AUC for SOMAscan based measures. Conclusion: Our data indicate that SOMAscan performs as well as immunoassay approaches for NfL, Neurogranin, VILIP-1, and sTREM2. Our study shows promise for using SOMAscan as an alternative to traditional immunoassay-based measures. Follow-up investigation will be required for SNAP-25 and additional established biomarkers.Item Comparison of amyloid accumulation between Down syndrome and autosomal-dominant Alzheimer disease(Wiley, 2022) Boerwinkle, Anna H.; Gordon, Brian A.; Wisch, Julie K.; Flores, Shaney; Henson, Rachel L.; Butt, Omar Hameed; Chen, Charles D.; Benzinger, Tammie L. S.; Fagan, Anne M.; Handen, Benjamin L.; Christian, Bradley T.; Head, Elizabeth; Mapstone, Mark; Klunk, William E.; Rafii, Michael S.; O’Bryant, Sid E.; Price, Julie C.; Schupf, Nicole; Laymon, Charles M.; Krinsky-McHale, Sharon J.; Lai, Florence; Rosas, H. Diana; Hartley, Sigan L.; Zaman, Shahid; Lott, Ira T.; Silverman, Wayne; Brickman, Adam M.; Lee, Joseph H.; Allegri, Ricardo Francisco; Berman, Sarah; Chhatwal, Jasmeer P.; Chui, Helena C.; Cruchaga, Carlos; Farlow, Martin R.; Fox, Nick C.; Goate, Alison; Day, Gregory S.; Graff-Radford, Neill R.; Jucker, Mathias; Lee, Jae-Hong; Levin, Johannes; Martins, Ralph N.; Mori, Hiroshi; Perrin, Richard J.; Salloway, Stephen P.; Sanchez-Valle, Raquel; Schofield, Peter R.; Xiong, Chengjie; Karch, Celeste M.; Hassenstab, Jason J.; McDade, Eric; Bateman, Randall J.; Ances, Beau M.; Neurology, School of MedicineBackground: Given the triplication of chromosome 21 and the location of the amyloid precursor protein gene on chromosome 21, almost all adults with Down syndrome (DS) develop Alzheimer disease (AD)-like pathology and dementia during their lifetime. Comparing amyloid accumulation in DS to autosomal dominant AD (ADAD), another genetic form of AD, may improve our understanding of early AD pathology development. Method: We assessed amyloid positron emission tomography (PET) imaging in 192 participants with DS and 33 sibling controls from the Alzheimer’s Biomarker Consortium-Down Syndrome (ABC-DS) and 265 mutation-carriers (MC) and 169 familial controls from the Dominantly Inherited Alzheimer Network (DIAN) (Table 1). We calculated regional standard uptake value ratios (SUVR) using a cerebellar cortex reference region and converted global amyloid burden SUVR to centiloids. We compared amyloid PET by cognitive status and estimated-years-to-symptom-onset (EYO). EYO was calculated for DIAN participants by subtracting their age from parental age of symptom onset and for ABC-DS participants by subtracting their age from 50.2 years, a published average age of symptom onset in a large sample of individuals with DS (Fortea et al., 2020). In a subset of participants, we assessed the relationship between amyloid PET and CSF Aβ42/40. Result: The relationship between CSF Aβ42/40 and amyloid PET was similar in DS and MC participants (Figure 1). We did not observe significant differences between MC and DS grouped by cognitive status (Figure 2). However, when assessed over EYO, global amyloid burden was significantly elevated in MC at EYO ≥ -23 but was not elevated in DS until EYO ≥ -15 (Figure 3). We observed early cortical and subcortical amyloid PET increases in both groups, but we also measured some regional differences in amyloid PET changes between MC and DS, specifically in the medial occipital region (Figure 4 and 5). Conclusion: These results demonstrate similarities in the relationship between amyloid biomarkers and the levels of amyloid accumulation in ADAD and DS. However, we also observed a 5-10 year delay and some regional differences in amyloid accumulation in DS. This is important for future clinical trials to consider when recruiting participants and determining treatment efficacy.Item Different rates of cognitive decline in autosomal dominant and late-onset Alzheimer disease(Wiley, 2022-10) Buckles, Virginia D.; Xiong , Chengjie; Bateman, Randall J.; Hassenstab, Jason; Allegri, Ricardo; Berman, Sarah B.; Chhatwal, Jasmeer P.; Danek, Adrian; Fagan, Anne M.; Ghetti, Bernardino; Goate, Alison; Graff-Radford, Neill; Jucker, Mathias; Levin, Johannes; Marcus, Daniel S.; Masters, Colin L.; McCue, Lena; McDade, Eric; Mori, Hiroshi; Moulder, Krista L.; Noble, James M.; Paumier , Katrina; Preische, Oliver; Ringman, John M.; Fox, Nick C.; Salloway, Stephen; Schofield, Peter R.; Martins, Ralph; Vöglein, Jonathan; Morris, John C.; Dominantly Inherited Alzheimer Network; Pathology and Laboratory Medicine, School of MedicineAs prevention trials advance with autosomal dominant Alzheimer disease (ADAD) participants, understanding the similarities and differences between ADAD and “sporadic” late-onset AD (LOAD) is critical to determine generalizability of findings between these cohorts. Cognitive trajectories of ADAD mutation carriers (MCs) and autopsy-confirmed LOAD individuals were compared to address this question. Longitudinal rates of change on cognitive measures were compared in ADAD MCs (n=310) and autopsy-confirmed LOAD participants (n=163) before and after symptom onset (estimated/observed). LOAD participants declined more rapidly in the presymptomatic (preclinical) period and performed more poorly at symptom onset than ADAD participants on a cognitive composite. After symptom onset, however, the younger ADAD MCs declined more rapidly. The similar but not identical cognitive trajectories (declining but at different rates) for ADAD and LOAD suggest common AD pathologies but with some differences.Item First presentation with neuropsychiatric symptoms in autosomal dominant Alzheimer's disease: the Dominantly Inherited Alzheimer's Network Study(BMJ, 2023) O'Connor, Antoinette; Rice, Helen; Barnes, Josephine; Ryan, Natalie S.; Liu, Kathy Y.; Allegri, Ricardo Francisco; Berman, Sarah; Ringman, John M.; Cruchaga, Carlos; Farlow, Martin R.; Hassenstab, Jason; Lee, Jae-Hong; Perrin, Richard J.; Xiong, Chengjie; Gordon, Brian; Levey, Allan I.; Goate, Alison; Graff-Radford, Neil; Levin, Johannes; Jucker, Mathias; Benzinger, Tammie; McDade, Eric; Mori, Hiroshi; Noble, James M.; Schofield, Peter R.; Martins, Ralph N.; Salloway, Stephen; Chhatwal, Jasmeer; Morris, John C.; Bateman, Randall; Howard, Rob; Reeves, Suzanne; Fox, Nick C.; Dominantly Inherited Alzheimer Network; Neurology, School of MedicineItem Herpes simplex virus and rates of cognitive decline or whole brain atrophy in the Dominantly Inherited Alzheimer Network(Wiley, 2022) Warren-Gash, Charlotte; Cadogan, Sharon L.; Nicholas, Jennifer M.; Breuer, Judith M.; Shah, Divya; Pearce, Neil; Shiekh, Suhail; Smeeth, Liam; Farlow, Martin R.; Mori, Hiroshi; Gordon, Brian A.; Nuebling, Georg; McDade, Eric; Bateman, Randall J.; Schofield, Peter R.; Lee, Jae-Hong; Morris, John C.; Cash, David M.; Fox, Nick C.; Ridha, Basil H.; Rossor, Martin N.; Dominantly Inherited Alzheimer Network; Neurology, School of MedicineObjective: To investigate whether herpes simplex virus type 1 (HSV-1) infection was associated with rates of cognitive decline or whole brain atrophy among individuals from the Dominantly Inherited Alzheimer Network (DIAN). Methods: Among two subsets of the DIAN cohort (age range 19.6-66.6 years; median follow-up 3.0 years) we examined (i) rate of cognitive decline (N = 164) using change in mini-mental state examination (MMSE) score, (ii) rate of whole brain atrophy (N = 149), derived from serial MR imaging, calculated using the boundary shift integral (BSI) method. HSV-1 antibodies were assayed in baseline sera collected from 2009-2015. Linear mixed-effects models were used to compare outcomes by HSV-1 seropositivity and high HSV-1 IgG titres/IgM status. Results: There was no association between baseline HSV-1 seropositivity and rates of cognitive decline or whole brain atrophy. Having high HSV-1 IgG titres/IgM was associated with a slightly greater decline in MMSE points per year (difference in slope - 0.365, 95% CI: -0.958 to -0.072), but not with rate of whole brain atrophy. Symptomatic mutation carriers declined fastest on both MMSE and BSI measures, however, this was not influenced by HSV-1. Among asymptomatic mutation carriers, rates of decline on MMSE and BSI were slightly greater among those who were HSV-1 seronegative. Among mutation-negative individuals, no differences were seen by HSV-1. Stratifying by APOE4 status yielded inconsistent results. Interpretation: We found no evidence for a major role of HSV-1, measured by serum antibodies, in cognitive decline or whole brain atrophy among individuals at high risk of early-onset AD.