1
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Iaccarino L, Llibre-Guerra JJ, McDade E, Edwards L, Gordon B, Benzinger T, Hassenstab J, Kramer JH, Li Y, Miller BL, Miller Z, Morris JC, Mundada N, Perrin RJ, Rosen HJ, Soleimani-Meigooni D, Strom A, Tsoy E, Wang G, Xiong C, Allegri R, Chrem P, Vazquez S, Berman SB, Chhatwal J, Masters CL, Farlow MR, Jucker M, Levin J, Salloway S, Fox NC, Day GS, Gorno-Tempini ML, Boxer AL, La Joie R, Bateman R, Rabinovici GD. Molecular neuroimaging in dominantly inherited versus sporadic early-onset Alzheimer's disease. Brain Commun 2024; 6:fcae159. [PMID: 38784820 PMCID: PMC11114609 DOI: 10.1093/braincomms/fcae159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 03/14/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Approximately 5% of Alzheimer's disease patients develop symptoms before age 65 (early-onset Alzheimer's disease), with either sporadic (sporadic early-onset Alzheimer's disease) or dominantly inherited (dominantly inherited Alzheimer's disease) presentations. Both sporadic early-onset Alzheimer's disease and dominantly inherited Alzheimer's disease are characterized by brain amyloid-β accumulation, tau tangles, hypometabolism and neurodegeneration, but differences in topography and magnitude of these pathological changes are not fully elucidated. In this study, we directly compared patterns of amyloid-β plaque deposition and glucose hypometabolism in sporadic early-onset Alzheimer's disease and dominantly inherited Alzheimer's disease individuals. Our analysis included 134 symptomatic sporadic early-onset Alzheimer's disease amyloid-Positron Emission Tomography (PET)-positive cases from the University of California, San Francisco, Alzheimer's Disease Research Center (mean ± SD age 59.7 ± 5.6 years), 89 symptomatic dominantly inherited Alzheimer's disease cases (age 45.8 ± 9.3 years) and 102 cognitively unimpaired non-mutation carriers from the Dominantly Inherited Alzheimer Network study (age 44.9 ± 9.2). Each group underwent clinical and cognitive examinations, 11C-labelled Pittsburgh Compound B-PET and structural MRI. 18F-Fluorodeoxyglucose-PET was also available for most participants. Positron Emission Tomography scans from both studies were uniformly processed to obtain a standardized uptake value ratio (PIB50-70 cerebellar grey reference and FDG30-60 pons reference) images. Statistical analyses included pairwise global and voxelwise group comparisons and group-independent component analyses. Analyses were performed also adjusting for covariates including age, sex, Mini-Mental State Examination, apolipoprotein ε4 status and average composite cortical of standardized uptake value ratio. Compared with dominantly inherited Alzheimer's disease, sporadic early-onset Alzheimer's disease participants were older at age of onset (mean ± SD, 54.8 ± 8.2 versus 41.9 ± 8.2, Cohen's d = 1.91), with more years of education (16.4 ± 2.8 versus 13.5 ± 3.2, d = 1) and more likely to be apolipoprotein ε4 carriers (54.6% ε4 versus 28.1%, Cramer's V = 0.26), but similar Mini-Mental State Examination (20.6 ± 6.1 versus 21.2 ± 7.4, d = 0.08). Sporadic early-onset Alzheimer's disease had higher global cortical Pittsburgh Compound B-PET binding (mean ± SD standardized uptake value ratio, 1.92 ± 0.29 versus 1.58 ± 0.44, d = 0.96) and greater global cortical 18F-fluorodeoxyglucose-PET hypometabolism (mean ± SD standardized uptake value ratio, 1.32 ± 0.1 versus 1.39 ± 0.19, d = 0.48) compared with dominantly inherited Alzheimer's disease. Fully adjusted comparisons demonstrated relatively higher Pittsburgh Compound B-PET standardized uptake value ratio in the medial occipital, thalami, basal ganglia and medial/dorsal frontal regions in dominantly inherited Alzheimer's disease versus sporadic early-onset Alzheimer's disease. Sporadic early-onset Alzheimer's disease showed relatively greater 18F-fluorodeoxyglucose-PET hypometabolism in Alzheimer's disease signature temporoparietal regions and caudate nuclei, whereas dominantly inherited Alzheimer's disease showed relatively greater hypometabolism in frontal white matter and pericentral regions. Independent component analyses largely replicated these findings by highlighting common and unique Pittsburgh Compound B-PET and 18F-fluorodeoxyglucose-PET binding patterns. In summary, our findings suggest both common and distinct patterns of amyloid and glucose hypometabolism in sporadic and dominantly inherited early-onset Alzheimer's disease.
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Affiliation(s)
- Leonardo Iaccarino
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jorge J Llibre-Guerra
- The Dominantly Inherited Alzheimer Network (DIAN), St Louis, MO 63108, USA
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Eric McDade
- The Dominantly Inherited Alzheimer Network (DIAN), St Louis, MO 63108, USA
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Lauren Edwards
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Brian Gordon
- Department of Radiology, Washington University in St Louis, St Louis, MO 63110, USA
| | - Tammie Benzinger
- Department of Radiology, Washington University in St Louis, St Louis, MO 63110, USA
| | - Jason Hassenstab
- The Dominantly Inherited Alzheimer Network (DIAN), St Louis, MO 63108, USA
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Yan Li
- Department of Biostatistics, Washington University in St Louis, St Louis, MO 63110, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - John C Morris
- The Dominantly Inherited Alzheimer Network (DIAN), St Louis, MO 63108, USA
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Nidhi Mundada
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Richard J Perrin
- Department of Pathology and Immunology, Washington University in St Louis, St Louis, MO 63110, USA
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - David Soleimani-Meigooni
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Amelia Strom
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Elena Tsoy
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Guoqiao Wang
- Department of Biostatistics, Washington University in St Louis, St Louis, MO 63110, USA
| | - Chengjie Xiong
- Department of Biostatistics, Washington University in St Louis, St Louis, MO 63110, USA
| | - Ricardo Allegri
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires 1428, Argentina
| | - Patricio Chrem
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires 1428, Argentina
| | - Silvia Vazquez
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires 1428, Argentina
| | - Sarah B Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Colin L Masters
- Department of Neuroscience, Florey Institute, The University of Melbourne, Melbourne 3052, Australia
| | - Martin R Farlow
- Neuroscience Center, Indiana University School of Medicine at Indianapolis, Indiana, IN 46202, USA
| | - Mathias Jucker
- DZNE-German Center for Neurodegenerative Diseases, Tübingen 72076, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University, Munich 80539, Germany
- German Center for Neurodegenerative Diseases, Munich 81377, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Stephen Salloway
- Memory & Aging Program, Butler Hospital, Brown University in Providence, RI 02906, USA
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London WC1N 3BG, UK
| | - Gregory S Day
- Department of Neurology, Mayo Clinic Florida, Jacksonville, FL 33224, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Adam L Boxer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Randall Bateman
- The Dominantly Inherited Alzheimer Network (DIAN), St Louis, MO 63108, USA
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
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2
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Ross FC, Mayer DE, Horn J, Cryan JF, Del Rio D, Randolph E, Gill CIR, Gupta A, Ross RP, Stanton C, Mayer EA. Potential of dietary polyphenols for protection from age-related decline and neurodegeneration: a role for gut microbiota? Nutr Neurosci 2024:1-19. [PMID: 38287652 DOI: 10.1080/1028415x.2023.2298098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
Many epidemiological studies have shown the beneficial effects of a largely plant-based diet, and the strong association between the consumption of a Mediterranean-type diet with healthy aging including a lower risk of cognitive decline. The Mediterranean diet is characterized by a high intake of olive oil, fruits and vegetables and is rich in dietary fiber and polyphenols - both of which have been postulated to act as important mediators of these benefits. Polyphenols are large molecules produced by plants to protect them from environmental threats and injury. When ingested by humans, as little as 5% of these molecules are absorbed in the small intestine with the majority metabolized by the gut microbiota into absorbable simple phenolic compounds. Flavan-3-ols, a type of flavonoid, contained in grapes, berries, pome fruits, tea, and cocoa have been associated with many beneficial effects on several risk factors for cardiovascular disease, cognitive function and brain regions involved in memory formation. Both preclinical and clinical studies suggest that these brain and heart benefits can be attributed to endothelial vascular effects and anti-inflammatory properties among others. More recently the gut microbiota has emerged as a potential modulator of the aging brain and intriguingly polyphenols have been shown to alter microbiota composition and be metabolized by different microbial species. However, there is a need for well controlled studies in large populations to identify predictors of response, particularly given the vast inter-individual variation of human gut microbiota.
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Affiliation(s)
- F C Ross
- APC Microbiome Ireland, University College Cork, Co. Cork, Ireland
| | - D E Mayer
- Institute of Human Nutrition, Columbia University, New York, USA
| | - J Horn
- Oppenheimer Centre for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, UCLA, Los Angeles, USA
| | - J F Cryan
- APC Microbiome Ireland, University College Cork, Co. Cork, Ireland
- Department Anatomy & Neuroscience, University College Cork, Co. Cork, Ireland
| | - D Del Rio
- Department of Food and Drugs, University of Parma, Parma, Italy
| | - E Randolph
- Oppenheimer Centre for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, UCLA, Los Angeles, USA
| | - C I R Gill
- Nutrition Innovation Centre for Food and Health, Northern Ireland, UK
| | - A Gupta
- Division of Digestive Diseases, UCLA, Los Angeles, USA
- Goodman Luskin Microbiome Center at UCLA, Los Angeles, CA, USA
| | - R P Ross
- APC Microbiome Ireland, University College Cork, Co. Cork, Ireland
| | - C Stanton
- Teagasc Food Research Centre, Moorepark, Fermoy, Co. Cork, Ireland
| | - E A Mayer
- Oppenheimer Centre for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, UCLA, Los Angeles, USA
- Goodman Luskin Microbiome Center at UCLA, Los Angeles, CA, USA
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3
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Llibre-Guerra JJ, Iaccarino L, Coble D, Edwards L, Li Y, McDade E, Strom A, Gordon B, Mundada N, Schindler SE, Tsoy E, Ma Y, Lu R, Fagan AM, Benzinger TLS, Soleimani-Meigooni D, Aschenbrenner AJ, Miller Z, Wang G, Kramer JH, Hassenstab J, Rosen HJ, Morris JC, Miller BL, Xiong C, Perrin RJ, Allegri R, Chrem P, Surace E, Berman SB, Chhatwal J, Masters CL, Farlow MR, Jucker M, Levin J, Fox NC, Day G, Gorno-Tempini ML, Boxer AL, La Joie R, Rabinovici GD, Bateman R. Longitudinal clinical, cognitive and biomarker profiles in dominantly inherited versus sporadic early-onset Alzheimer's disease. Brain Commun 2023; 5:fcad280. [PMID: 37942088 PMCID: PMC10629466 DOI: 10.1093/braincomms/fcad280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 11/10/2023] Open
Abstract
Approximately 5% of Alzheimer's disease cases have an early age at onset (<65 years), with 5-10% of these cases attributed to dominantly inherited mutations and the remainder considered as sporadic. The extent to which dominantly inherited and sporadic early-onset Alzheimer's disease overlap is unknown. In this study, we explored the clinical, cognitive and biomarker profiles of early-onset Alzheimer's disease, focusing on commonalities and distinctions between dominantly inherited and sporadic cases. Our analysis included 117 participants with dominantly inherited Alzheimer's disease enrolled in the Dominantly Inherited Alzheimer Network and 118 individuals with sporadic early-onset Alzheimer's disease enrolled at the University of California San Francisco Alzheimer's Disease Research Center. Baseline differences in clinical and biomarker profiles between both groups were compared using t-tests. Differences in the rates of decline were compared using linear mixed-effects models. Individuals with dominantly inherited Alzheimer's disease exhibited an earlier age-at-symptom onset compared with the sporadic group [43.4 (SD ± 8.5) years versus 54.8 (SD ± 5.0) years, respectively, P < 0.001]. Sporadic cases showed a higher frequency of atypical clinical presentations relative to dominantly inherited (56.8% versus 8.5%, respectively) and a higher frequency of APOE-ε4 (50.0% versus 28.2%, P = 0.001). Compared with sporadic early onset, motor manifestations were higher in the dominantly inherited cohort [32.5% versus 16.9% at baseline (P = 0.006) and 46.1% versus 25.4% at last visit (P = 0.001)]. At baseline, the sporadic early-onset group performed worse on category fluency (P < 0.001), Trail Making Test Part B (P < 0.001) and digit span (P < 0.001). Longitudinally, both groups demonstrated similar rates of cognitive and functional decline in the early stages. After 10 years from symptom onset, dominantly inherited participants experienced a greater decline as measured by Clinical Dementia Rating Sum of Boxes [3.63 versus 1.82 points (P = 0.035)]. CSF amyloid beta-42 levels were comparable [244 (SD ± 39.3) pg/ml dominantly inherited versus 296 (SD ± 24.8) pg/ml sporadic early onset, P = 0.06]. CSF phosphorylated tau at threonine 181 levels were higher in the dominantly inherited Alzheimer's disease cohort (87.3 versus 59.7 pg/ml, P = 0.005), but no significant differences were found for t-tau levels (P = 0.35). In summary, sporadic and inherited Alzheimer's disease differed in baseline profiles; sporadic early onset is best distinguished from dominantly inherited by later age at onset, high frequency of atypical clinical presentations and worse executive performance at baseline. Despite these differences, shared pathways in longitudinal clinical decline and CSF biomarkers suggest potential common therapeutic targets for both populations, offering valuable insights for future research and clinical trial design.
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Affiliation(s)
| | - Leonardo Iaccarino
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Dean Coble
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Lauren Edwards
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yan Li
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Eric McDade
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Amelia Strom
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Brian Gordon
- Malinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Nidhi Mundada
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Elena Tsoy
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yinjiao Ma
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Ruijin Lu
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Anne M Fagan
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Tammie L S Benzinger
- Malinckrodt Institute of Radiology, Washington University in St Louis, St Louis, MO 63108, USA
| | - David Soleimani-Meigooni
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | | | - Zachary Miller
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Guoqiao Wang
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Joel H Kramer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Howard J Rosen
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - John C Morris
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
| | - Bruce L Miller
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University in St Louis, St Louis, MO 63108, USA
| | - Richard J Perrin
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
- Department of Pathology and Immunology, Washington University in St Louis, St. Louis, MO 63108, USA
| | - Ricardo Allegri
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Patricio Chrem
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Ezequiel Surace
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, Buenos Aires, Argentina
| | - Sarah B Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Colin L Masters
- Florey Institute, The University of Melbourne, Melbourne 3052, Australia
| | - Martin R Farlow
- Neuroscience Center, Indiana University School of Medicine at Indianapolis, IN 46202, USA
| | - Mathias Jucker
- DZNE-German Center for Neurodegenerative Diseases, Tübingen 72076, Germany
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen 72076, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University, Munich 80539, Germany
- German Center for Neurodegenerative Diseases, Munich 81377, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich 81377, Germany
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, University College London Institute of Neurology, London WC1N 3BG, UK
| | - Gregory Day
- Department of Neurology, Mayo Clinic Florida, Jacksonville, FL 33224, USA
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adam L Boxer
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Renaud La Joie
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Gil D Rabinovici
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Randall Bateman
- Department of Neurology, Washington University in St Louis, St Louis, MO 63108, USA
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4
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McKay NS, Gordon BA, Hornbeck RC, Dincer A, Flores S, Keefe SJ, Joseph-Mathurin N, Jack CR, Koeppe R, Millar PR, Ances BM, Chen CD, Daniels A, Hobbs DA, Jackson K, Koudelis D, Massoumzadeh P, McCullough A, Nickels ML, Rahmani F, Swisher L, Wang Q, Allegri RF, Berman SB, Brickman AM, Brooks WS, Cash DM, Chhatwal JP, Day GS, Farlow MR, la Fougère C, Fox NC, Fulham M, Ghetti B, Graff-Radford N, Ikeuchi T, Klunk W, Lee JH, Levin J, Martins R, Masters CL, McConathy J, Mori H, Noble JM, Reischl G, Rowe C, Salloway S, Sanchez-Valle R, Schofield PR, Shimada H, Shoji M, Su Y, Suzuki K, Vöglein J, Yakushev I, Cruchaga C, Hassenstab J, Karch C, McDade E, Perrin RJ, Xiong C, Morris JC, Bateman RJ, Benzinger TLS. Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN). Nat Neurosci 2023; 26:1449-1460. [PMID: 37429916 PMCID: PMC10400428 DOI: 10.1038/s41593-023-01359-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations occurring in three genes. Offspring from ADAD families have a 50% chance of inheriting their familial mutation, so non-carrier siblings can be recruited for comparisons in case-control studies. The age of onset in ADAD is highly predictable within families, allowing researchers to estimate an individual's point in the disease trajectory. These characteristics allow candidate AD biomarker measurements to be reliably mapped during the preclinical phase. Although ADAD represents a small proportion of AD cases, understanding neuroimaging-based changes that occur during the preclinical period may provide insight into early disease stages of 'sporadic' AD also. Additionally, this study provides rich data for research in healthy aging through inclusion of the non-carrier controls. Here we introduce the neuroimaging dataset collected and describe how this resource can be used by a range of researchers.
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Affiliation(s)
| | | | | | - Aylin Dincer
- Washington University in St. Louis, St. Louis, MO, USA
| | - Shaney Flores
- Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah J Keefe
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | - Beau M Ances
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Diana A Hobbs
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | | | | | - Laura Swisher
- Washington University in St. Louis, St. Louis, MO, USA
| | - Qing Wang
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - Adam M Brickman
- Columbia University Irving Medical Center, New York, NY, USA
| | - William S Brooks
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - David M Cash
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Jasmeer P Chhatwal
- Massachusetts General and Brigham & Women's Hospitals, Harvard Medical School, Boston, MA, USA
| | | | | | - Christian la Fougère
- Department of Radiology, University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Nick C Fox
- UK Dementia Research Institute at University College London, London, UK
- University College London, London, UK
| | - Michael Fulham
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | | | | | | | | | | | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Ralph Martins
- Edith Cowan University, Joondalup, Western Australia, Australia
| | | | | | | | - James M Noble
- Columbia University Irving Medical Center, New York, NY, USA
| | - Gerald Reischl
- Department of Radiology, University of Tübingen, Tübingen, Germany
| | | | | | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | | | - Jonathan Vöglein
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, Ludwig-Maximilians-Universität München, München, Germany
| | - Igor Yakushev
- School of Medicine, Technical University of Munich, Munich, Germany
| | | | | | - Celeste Karch
- Washington University in St. Louis, St. Louis, MO, USA
| | - Eric McDade
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | - John C Morris
- Washington University in St. Louis, St. Louis, MO, USA
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5
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Xiao Y, Wang J, Huang K, Gao L, Yao S. Progressive structural and covariance connectivity abnormalities in patients with Alzheimer's disease. Front Aging Neurosci 2023; 14:1064667. [PMID: 36688148 PMCID: PMC9853893 DOI: 10.3389/fnagi.2022.1064667] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 12/13/2022] [Indexed: 01/07/2023] Open
Abstract
Background Alzheimer's disease (AD) is one of most prevalent neurodegenerative diseases worldwide and characterized by cognitive decline and brain structure atrophy. While studies have reported substantial grey matter atrophy related to progression of AD, it remains unclear about brain regions with progressive grey matter atrophy, covariance connectivity, and the associations with cognitive decline in AD patients. Objective This study aims to investigate the grey matter atrophy, structural covariance connectivity abnormalities, and the correlations between grey matter atrophy and cognitive decline during AD progression. Materials We analyzed neuroimaging data of healthy controls (HC, n = 45) and AD patients (n = 40) at baseline (AD-T1) and one-year follow-up (AD-T2) obtained from the Alzheimer's Disease Neuroimaging Initiative. We investigated AD-related progressive changes of grey matter volume, covariance connectivity, and the clinical relevance to further understand the pathological progression of AD. Results The results showed clear patterns of grey matter atrophy in inferior frontal gyrus, prefrontal cortex, lateral temporal gyrus, posterior cingulate cortex, insula, hippocampus, caudate, and thalamus in AD patients. There was significant atrophy in bilateral superior temporal gyrus (STG) and left caudate in AD patients over a one-year period, and the grey matter volume decrease in right STG and left caudate was correlated with cognitive decline. Additionally, we found reduced structural covariance connectivity between right STG and left caudate in AD patients. Using AD-related grey matter atrophy as features, there was high discrimination accuracy of AD patients from HC, and AD patients at different time points.
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Affiliation(s)
- Yaqiong Xiao
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Kaiyu Huang
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Shun Yao
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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6
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Kim JE, Lee DK, Hwang JH, Kim CM, Kim Y, Lee JH, Lee JM, Roh JH. Regional Comparison of Imaging Biomarkers in the Striatum between Early- and Late-onset Alzheimer's Disease. Exp Neurobiol 2022; 31:401-408. [PMID: 36631848 PMCID: PMC9841745 DOI: 10.5607/en22022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 11/03/2022] [Accepted: 11/07/2022] [Indexed: 01/13/2023] Open
Abstract
Striatal changes in the pathogenesis of Alzheimer's disease (AD) is not fully understood yet. We compared structural and functional image differences in the striatum between patients with early onset AD (EOAD) and late onset AD (LOAD) to investigate whether EOAD harbors autosomal dominant AD like imaging findings. The clinical, neuropsychological and neuroimaging biomarkers of 77 probable AD patients and 107 elderly subjects with normal cognition (NC) from the Alzheimer's Disease Neuroimaging Initiative (ADNI)-2 dataset were analyzed. Enrolled each subject completed a 3-Tesla MRI, baseline 18F-FDG-PET, and baseline 18F-AV-45 (Florbetapir) amyloid PET studies. AD patients were divided into two groups based on the onset age of clinical symptoms (EOAD <65 yrs; LOAD ≥65 yrs). A standardized uptake value ratio of the striatum and subcortical structures was obtained from both amyloid and FDG-PET scans. Structural MR imaging analysis was conducted using a parametric boundary description protocol, SPHARM-PDM. Of the 77 AD patients, 18 were EOAD and 59 were LOAD. Except for age of symptom onset, there were no statistically significant differences between the groups in demographics and detailed neuropsychological test results. 18F-AV-45 amyloid PET showed marked β-amyloid accumulation in the bilateral caudate nucleus and left pallidum in the EOAD group. Intriguingly, the caudate nucleus and putamen showed maintained glucose metabolism in the EOAD group compared to the LOAD group. Our image findings in the striatum of EOAD patients suggest that sporadic EOAD may share some pathophysiological changes noted in autosomal dominant AD.
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Affiliation(s)
- Ji Eun Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea,Department of Neurology, Inje University Ilsan Paik Hospital, Goyang 10380, Korea
| | - Dong-Kyun Lee
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea
| | - Ji Hye Hwang
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea,Department of Neurology, Keimyung University Daegu Dongsan Hospital, Daegu 42601, Korea
| | - Chan-Mi Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA
| | - Yeji Kim
- Department of Artificial Intelligence, Hanyang University, Seoul 04763, Korea
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul 04763, Korea,
Jong-Min Lee, TEL: 82-2-2220-0697, FAX: 82-2-2296-5943, e-mail:
| | - Jee Hoon Roh
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea,Department of Biomedical Sciences and Department of Physiology, Korea University College of Medicine, Seoul 02841, Korea,Department of Neurology, Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea,To whom correspondence should be addressed. Jee Hoon Roh, TEL: 82-2-2286-1275, FAX: 82-2-474-4691, e-mail:
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7
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Bruno F, Laganà V, Di Lorenzo R, Bruni AC, Maletta R. Calabria as a Genetic Isolate: A Model for the Study of Neurodegenerative Diseases. Biomedicines 2022; 10:biomedicines10092288. [PMID: 36140389 PMCID: PMC9496333 DOI: 10.3390/biomedicines10092288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 09/08/2022] [Accepted: 09/11/2022] [Indexed: 11/16/2022] Open
Abstract
Although originally multi-ethnic in its structure, nowadays the Calabria region of southern Italy represents an area with low genetic heterogeneity and a high level of consanguinity that allows rare mutations to be maintained due to the founder effect. A complex research methodology—ranging from clinical activity to the genealogical reconstruction of families/populations across the centuries, the creation of databases, and molecular/genetic research—was modelled on the characteristics of the Calabrian population for more than three decades. This methodology allowed the identification of several novel genetic mutations or variants associated with neurodegenerative diseases. In addition, a higher prevalence of several hereditary neurodegenerative diseases has been reported in this population, such as Alzheimer’s disease, frontotemporal dementia, Parkinson’s disease, Niemann–Pick type C disease, spinocerebellar ataxia, Creutzfeldt–Jakob disease, and Gerstmann–Straussler–Scheinker disease. Here, we summarize and discuss the results of research data supporting the view that Calabria could be considered as a genetic isolate and could represent a model, a sort of outdoor laboratory—similar to very few places in the world—useful for the advancement of knowledge on neurodegenerative diseases.
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Affiliation(s)
- Francesco Bruno
- Regional Neurogenetic Centre (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
- Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
- Correspondence: (F.B.); (A.C.B.)
| | - Valentina Laganà
- Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
| | | | - Amalia C. Bruni
- Regional Neurogenetic Centre (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
- Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
- Correspondence: (F.B.); (A.C.B.)
| | - Raffaele Maletta
- Regional Neurogenetic Centre (CRN), Department of Primary Care, ASP Catanzaro, 88046 Lamezia Terme, Italy
- Association for Neurogenetic Research (ARN), 88046 Lamezia Terme, Italy
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8
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Elbert DL, Patterson BW, Lucey BP, Benzinger TLS, Bateman RJ. Importance of CSF-based Aβ clearance with age in humans increases with declining efficacy of blood-brain barrier/proteolytic pathways. Commun Biol 2022; 5:98. [PMID: 35087179 PMCID: PMC8795390 DOI: 10.1038/s42003-022-03037-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 12/27/2021] [Indexed: 12/21/2022] Open
Abstract
The kinetics of amyloid beta turnover within human brain is still poorly understood. We previously found a dramatic decline in the turnover of Aβ peptides in normal aging. It was not known if brain interstitial fluid/cerebrospinal fluid (ISF/CSF) fluid exchange, CSF turnover, blood-brain barrier function or proteolysis were affected by aging or the presence of β amyloid plaques. Here, we describe a non-steady state physiological model developed to decouple CSF fluid transport from other processes. Kinetic parameters were estimated using: (1) MRI-derived brain volumes, (2) stable isotope labeling kinetics (SILK) of amyloid-β peptide (Aβ), and (3) lumbar CSF Aβ concentration during SILK. Here we show that changes in blood-brain barrier transport and/or proteolysis were largely responsible for the age-related decline in Aβ turnover rates. CSF-based clearance declined modestly in normal aging but became increasingly important due to the slowing of other processes. The magnitude of CSF-based clearance was also lower than that due to blood-brain barrier function plus proteolysis. These results suggest important roles for blood-brain barrier transport and proteolytic degradation of Aβ in the development Alzheimer’s Disease in humans. To understand if brain interstitial fluid/cerebrospinal fluid (ISF/CSF) exchange, CSF turnover, blood-brain barrier function or proteolysis were affected by aging or the presence of β amyloid plaques, Elbert et al. develop a non-steady state physiological model using MRI-derived brain volumes, stable isotope labeling kinetics of Aβ, and lumbar CSF Aβ concentration. Their model suggests an important role for blood-brain barrier transport and proteolytic degradation of Aβ in the development Alzheimer’s Disease in humans.
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Affiliation(s)
- Donald L Elbert
- Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
| | - Bruce W Patterson
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
| | - Tammie L S Benzinger
- Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA.,Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University School of Medicine, St Louis, MO, USA
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9
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Frisoni GB, Altomare D, Thal DR, Ribaldi F, van der Kant R, Ossenkoppele R, Blennow K, Cummings J, van Duijn C, Nilsson PM, Dietrich PY, Scheltens P, Dubois B. The probabilistic model of Alzheimer disease: the amyloid hypothesis revised. Nat Rev Neurosci 2022; 23:53-66. [PMID: 34815562 PMCID: PMC8840505 DOI: 10.1038/s41583-021-00533-w] [Citation(s) in RCA: 161] [Impact Index Per Article: 80.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2021] [Indexed: 01/03/2023]
Abstract
The current conceptualization of Alzheimer disease (AD) is driven by the amyloid hypothesis, in which a deterministic chain of events leads from amyloid deposition and then tau deposition to neurodegeneration and progressive cognitive impairment. This model fits autosomal dominant AD but is less applicable to sporadic AD. Owing to emerging information regarding the complex biology of AD and the challenges of developing amyloid-targeting drugs, the amyloid hypothesis needs to be reconsidered. Here we propose a probabilistic model of AD in which three variants of AD (autosomal dominant AD, APOE ε4-related sporadic AD and APOE ε4-unrelated sporadic AD) feature decreasing penetrance and decreasing weight of the amyloid pathophysiological cascade, and increasing weight of stochastic factors (environmental exposures and lower-risk genes). Together, these variants account for a large share of the neuropathological and clinical variability observed in people with AD. The implementation of this model in research might lead to a better understanding of disease pathophysiology, a revision of the current clinical taxonomy and accelerated development of strategies to prevent and treat AD.
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Affiliation(s)
- Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.,
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Dietmar Rudolf Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology, and Leuven Brain Institute, University of Leuven, Leuven, Belgium.,Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Federica Ribaldi
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.,Laboratory of Alzheimer’s Neuroimaging and Epidemiology (LANE), IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Rik van der Kant
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Kaj Blennow
- Cinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences; University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Peter M. Nilsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Life Science Partners, Amsterdam, Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer, IM2A, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne Université, Paris, France.,Institut du Cerveau et de la Moelle Épinière, UMR-S975, INSERM, Paris, France
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10
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Forno G, Lladó A, Hornberger M. Going round in circles-The Papez circuit in Alzheimer's disease. Eur J Neurosci 2021; 54:7668-7687. [PMID: 34656073 DOI: 10.1111/ejn.15494] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/01/2021] [Accepted: 10/12/2021] [Indexed: 11/29/2022]
Abstract
The hippocampus is regarded as the pivotal structure for episodic memory symptoms associated with Alzheimer's disease (AD) pathophysiology. However, what is often overlooked is that the hippocampus is 'only' one part of a network of memory critical regions, the Papez circuit. Other Papez circuit regions are often regarded as less relevant for AD as they are thought to sit 'downstream' of the hippocampus. However, this notion is oversimplistic, and increasing evidence suggests that other Papez regions might be affected before or concurrently with the hippocampus. In addition, AD research has mostly focused on episodic memory deficits, whereas spatial navigation processes are also subserved by the Papez circuit with increasing evidence supporting its valuable potential as a diagnostic measure of incipient AD pathophysiology. In the current review, we take a step forward analysing recent evidence on the structural and functional integrity of the Papez circuit across AD disease stages. Specifically, we will review the integrity of specific Papez regions from at-genetic-risk (APOE4 carriers), to mild cognitive impairment (MCI), to dementia stage of sporadic AD and autosomal dominant AD (ADAD). We related those changes to episodic memory and spatial navigation/orientation deficits in AD. Finally, we provide an overview of how the Papez circuit is affected in AD diseases and their specific symptomology contributions. This overview strengthened the need for moving away from a hippocampal-centric view to a network approach on how the whole Papez circuit is affected in AD and contributes to its symptomology, informing future research and clinical approaches.
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Affiliation(s)
- Gonzalo Forno
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,School of Psychology, Universidad de los Andes, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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11
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Sandry J, Dobryakova E. Global hippocampal and selective thalamic nuclei atrophy differentiate chronic TBI from Non-TBI. Cortex 2021; 145:37-56. [PMID: 34689031 DOI: 10.1016/j.cortex.2021.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 05/04/2021] [Accepted: 08/12/2021] [Indexed: 12/27/2022]
Abstract
Traumatic brain injury (TBI) may increase susceptibility to neurodegenerative diseases later in life. One neurobiological parallel between chronic TBI and neurodegeneration may be accelerated aging and the nature of atrophy across subcortical gray matter structures. The main aim of the present investigation is to evaluate and rank the degree that subcortical gray matter atrophy differentiates chronic moderate-severe TBI from non-TBI participants by evaluating morphometric differences between groups. Forty individuals with moderate-severe chronic TBI (9.23 yrs from injury) and 33 healthy controls (HC) underwent high resolution 3D T1-weighted structural magnetic resonance imaging. Whole brain volume was classified into white matter, cortical and subcortical gray matter structures with hippocampi and thalami further segmented into subfields and nuclei, respectively. Extensive atrophy was observed across nearly all brain regions for chronic TBI participants. A series of multivariate logistic regression models identified subcortical gray matter structures of the hippocampus and thalamus as the most sensitive to differentiating chronic TBI from non-TBI participants (McFadden R2 = .36, p < .001). Further analyses revealed the pattern of hippocampal atrophy to be global, occurring across nearly all subfields. The pattern of thalamic atrophy appeared to be much more selective and non-uniform, with largest between-group differences evident for nuclei bordering the ventricles. Subcortical gray matter was negatively correlated with time since injury (r = -.31, p = .054), while white matter and cortical gray matter were not. Cognitive ability was lower in the chronic TBI group (Cohen's d = .97, p = .003) and correlated with subcortical structures including the pallidum (r2 = .23, p = .038), thalamus (r2 = .36, p = .007) and ventral diencephalon (r2 = .23, p = .036). These data may support an accelerated aging hypothesis in chronic moderate-severe TBI that coincides with a similar neuropathological profile found in neurodegenerative diseases.
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Affiliation(s)
- Joshua Sandry
- Psychology Department, Montclair State University, Montclair, NJ, USA.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, East Hanover, NJ, USA; Department of Physical Medicine and Rehabilitation, Rutgers-New Jersey Medical School Newark, NJ, USA
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12
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Keret O, Staffaroni AM, Ringman JM, Cobigo Y, Goh SM, Wolf A, Allen IE, Salloway S, Chhatwal J, Brickman AM, Reyes‐Dumeyer D, Bateman RJ, Benzinger TL, Morris JC, Ances BM, Joseph‐Mathurin N, Perrin RJ, Gordon BA, Levin J, Vöglein J, Jucker M, la Fougère C, Martins RN, Sohrabi HR, Taddei K, Villemagne VL, Schofield PR, Brooks WS, Fulham M, Masters CL, Ghetti B, Saykin AJ, Jack CR, Graff‐Radford NR, Weiner M, Cash DM, Allegri RF, Chrem P, Yi S, Miller BL, Rabinovici GD, Rosen HJ. Pattern and degree of individual brain atrophy predicts dementia onset in dominantly inherited Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12197. [PMID: 34258377 PMCID: PMC8256623 DOI: 10.1002/dad2.12197] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/13/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Asymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD-MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD-MC and could help predict risk for dementia during trial enrollment. METHODS We created a dementia risk score by entering standardized gray-matter volumes from 231 DIAD-MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD-MC followed longitudinally. RESULTS Our risk score separated asymptomatic versus demented DIAD-MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%-98.2%]) and improved prediction beyond established methods based on familial age of onset. DISCUSSION Individualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD-MC participants for prevention trials.
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Affiliation(s)
- Ophir Keret
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Adam M. Staffaroni
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - John M. Ringman
- Alzheimer's Disease Research Center, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Yann Cobigo
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Sheng‐Yang M. Goh
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Amy Wolf
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Isabel Elaine Allen
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Stephen Salloway
- Warren Alpert Medical SchoolBrown UniversityProvidenceRhode IslandUSA
| | - Jasmeer Chhatwal
- Massachusetts General Hospital, Harvard Medical School BostonBostonMassachusettsUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Dolly Reyes‐Dumeyer
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Randal J. Bateman
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Tammie L.S. Benzinger
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
| | - John C. Morris
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Beau M. Ances
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Nelly Joseph‐Mathurin
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Richard J. Perrin
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Brian A. Gordon
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
- Department of RadiologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Neuropathology, Department of Pathology & ImmunologyWashington University School of MedicineSt. LouisMissouriUSA
- Division of Biostatistics, Department of PsychiatryWashington University in St. Louis School of MedicineSt. LouisMissouriUSA
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
| | - Jonathan Vöglein
- German Center for Neurodegenerative Diseases (DZNE)MunichGermany
- Department of NeurologyLudwig‐Maximilians‐Universität MünchenMunichGermany
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain ResearchUniversity of TübingenTübingenGermany
| | - Christian la Fougère
- German Center for Neurodegenerative Diseases (DZNE)TübingenGermany
- Institute for Nuclear Medicine and Clinical Molecular ImagingEberhard Karls UniversityTübingenGermany
| | - Ralph N. Martins
- Department of Biomedical SciencesMacquarie UniversityNorth RydeNew South WalesAustralia
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- School of Psychiatry and Clinical NeurosciencesUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- The Cooperative Research Centre for Mental HealthCarlton SouthVictoriaAustralia
| | - Hamid R. Sohrabi
- Department of Biomedical SciencesMacquarie UniversityNorth RydeNew South WalesAustralia
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- School of Psychiatry and Clinical NeurosciencesUniversity of Western AustraliaCrawleyWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
- The Cooperative Research Centre for Mental HealthCarlton SouthVictoriaAustralia
| | - Kevin Taddei
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
- Australian Alzheimer's Research FoundationNedlandsWestern AustraliaAustralia
| | - Victor L. Villemagne
- Department of Molecular Imaging and TherapyAustin HealthMelbourneVictoriaAustralia
| | - Peter R. Schofield
- Neuroscience Research Australia, RandwickSydneyNew South WalesAustralia
- School of Medical SciencesUNSW SydneySydneyNew South WalesAustralia
| | - William S. Brooks
- Neuroscience Research Australia, RandwickSydneyNew South WalesAustralia
- Prince of Wales Hospital Clinical SchoolUNSW SydneySydneyNew South WalesAustralia
| | - Michael Fulham
- Department of Molecular Imaging, Royal Prince Alfred Hospital, Sydney Medical SchoolUniversity of SydneyCamperdownNew South WalesAustralia
| | - Colin L. Masters
- The Florey InstituteUniversity of MelbourneParkvilleVictoriaAustralia
| | - Bernardino Ghetti
- Department of Pathology and Laboratory MedicineIndiana University School of MedicineIndianapolisIndianaUSA
| | - Andrew J. Saykin
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
- Department of RadiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | | | | | - Michael Weiner
- Department of Veterans Affairs Medical CenterCenter for Imaging of Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of RadiologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
| | - David M. Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyUniversity College LondonLondonUK
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical EngineeringUniversity College LondonLondonUK
| | - Ricardo F. Allegri
- Department of Cognitive Neurology, Neuropsychiatry and NeuropsychologyInstituto de InvestigacionesNeurológicas FLENIBuenos AiresArgentina
| | - Patricio Chrem
- Department of Cognitive Neurology, Neuropsychiatry and NeuropsychologyInstituto de InvestigacionesNeurológicas FLENIBuenos AiresArgentina
| | - Su Yi
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | - Bruce L. Miller
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Global Brain Health InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of Neurology, Memory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
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13
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He Q, Jiang L, Zhang Y, Yang H, Zhou CN, Xie YH, Luo YM, Zhang SS, Zhu L, Guo YJ, Deng YH, Liang X, Xiao Q, Zhang L, Tang J, Huang DJ, Zhou YN, Dou XY, Chao FL, Tang Y. Anti-LINGO-1 antibody ameliorates cognitive impairment, promotes adult hippocampal neurogenesis, and increases the abundance of CB1R-rich CCK-GABAergic interneurons in AD mice. Neurobiol Dis 2021; 156:105406. [PMID: 34044148 DOI: 10.1016/j.nbd.2021.105406] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/29/2021] [Accepted: 05/21/2021] [Indexed: 11/20/2022] Open
Abstract
In view of the negative regulatory effect of leucine-rich repeat and immunoglobulin-like domain-containing nogo receptor-interacting protein 1 (LINGO-1) on neurons, an antibody against LINGO-1 (anti-LINGO-1 antibody) was herein administered to 10-month-old APP/PS1 transgenic Alzheimer's disease (AD) mice for 2 months as an experimental intervention. Behavioral, stereology, immunohistochemistry and immunofluorescence analyses revealed that the anti-LINGO-1 antibody significantly improved the cognitive abilities, promoted adult hippocampal neurogenesis (AHN), decreased the amyloid beta (Aβ) deposition, enlarged the hippocampal volume, and increased the numbers of total neurons and GABAergic interneurons, including GABAergic and CCK-GABAergic interneurons rich in cannabinoid type 1 receptor (CB1R), in the hippocampus of AD mice. In contrast, this intervention significantly reduced the number of GABAergic interneurons expressing LINGO-1 and CB1R in the hippocampus of AD mice. More importantly, we also found a negative correlation between LINGO-1 and CB1R on GABAergic interneurons in the hippocampus of AD mice, while the anti-LINGO-1 antibody reversed this relationship. These results indicated that LINGO-1 plays an important role in the process of hippocampal neuron loss in AD mice and that antagonizing LINGO-1 can effectively prevent hippocampal neuron loss and promote AHN. The improvement in cognitive abilities may be attributed to the improvement in AHN, and in the numbers of GABAergic interneurons and CCK-GABAergic interneurons rich in CB1Rs in the hippocampus of AD mice induced by the anti-LINGO-1 antibody. Collectively, the double target effect (LINGO-1 and CB1R) initiated by the anti-LINGO-1 antibody may provide an important basis for the study of drugs for the prevention and treatment of AD in the future.
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Affiliation(s)
- Qi He
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Lin Jiang
- Experimental Teaching Management Center, Chongqing Medical University, Chongqing 400016, PR China
| | - Yi Zhang
- Department of Laboratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, PR China
| | - Hao Yang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Chun-Ni Zhou
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Yu-Han Xie
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Yan-Min Luo
- Department of Physiology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Shan-Shan Zhang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Lin Zhu
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Yi-Jing Guo
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Yu-Hui Deng
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Xin Liang
- Department of Pathophysiology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Qian Xiao
- Department of Radioactive Medicine, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Lei Zhang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Jing Tang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Du-Juan Huang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Yu-Ning Zhou
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Xiao-Yun Dou
- Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, PR China
| | - Feng-Lei Chao
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China.
| | - Yong Tang
- Department of Histology and Embryology, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China; Laboratory of Stem Cell and Tissue Engineering, Faculty of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, PR China.
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14
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Pardilla-Delgado E, Torrico-Teave H, Sanchez JS, Ramirez-Gomez LA, Baena A, Bocanegra Y, Vila-Castelar C, Fox-Fuller JT, Guzmán-Vélez E, Martínez J, Alvarez S, Ochoa-Escudero M, Lopera F, Quiroz YT. Associations between subregional thalamic volume and brain pathology in autosomal dominant Alzheimer's disease. Brain Commun 2021; 3:fcab101. [PMID: 34095834 PMCID: PMC8172494 DOI: 10.1093/braincomms/fcab101] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/01/2021] [Accepted: 03/19/2021] [Indexed: 12/02/2022] Open
Abstract
Histopathological reports suggest that subregions of the thalamus, which regulates multiple physiological and cognitive processes, are not uniformly affected by Alzheimer's disease. Despite this, structural neuroimaging studies often consider the thalamus as a single region. Identification of in vivo Alzheimer's-dependent volumetric changes in thalamic subregions may aid the characterization of early nuclei-specific neurodegeneration in Alzheimer's disease. Here, we leveraged access to the largest single-mutation cohort of autosomal-dominant Alzheimer's disease to test whether cross-sectional abnormalities in subregional thalamic volumes are evident in non-demented mutation carriers (n = 31), compared to non-carriers (n = 36), and whether subregional thalamic volume is associated with age, markers of brain pathology and cognitive performance. Using automatic parcellation we examined the thalamus in six subregions (anterior, lateral, ventral, intralaminar, medial, and posterior) and their relation to age and brain pathology (amyloid and tau), as measured by PET imaging. No between-group differences were observed in the volume of the thalamic subregions. In carriers, lower volume in the medial subregion was related to increased cortical amyloid and entorhinal tau burden. These findings suggest that thalamic Alzheimer's-related volumetric reductions are not uniform even in preclinical and prodromal stages of autosomal-dominant Alzheimer's disease and therefore, this structure should not be considered as a single, unitary structure in Alzheimer's disease research.
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Affiliation(s)
| | | | - Justin S Sanchez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | - Ana Baena
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Yamile Bocanegra
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Clara Vila-Castelar
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Joshua T Fox-Fuller
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Boston University, Boston, MA 02215, USA
| | | | - Jairo Martínez
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | | | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
| | - Yakeel T Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellin 050010, Colombia
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15
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Salobrar-García E, López-Cuenca I, Sánchez-Puebla L, de Hoz R, Fernández-Albarral JA, Ramírez AI, Bravo-Ferrer I, Medina V, Moro MA, Saido TC, Saito T, Salazar JJ, Ramírez JM. Retinal Thickness Changes Over Time in a Murine AD Model APP NL-F/NL-F. Front Aging Neurosci 2021; 12:625642. [PMID: 33542683 PMCID: PMC7852550 DOI: 10.3389/fnagi.2020.625642] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 12/15/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Alzheimer's disease (AD) may present retinal changes before brain pathology, suggesting the retina as an accessible biomarker of AD. The present work is a diachronic study using spectral domain optical coherence tomography (SD-OCT) to determine the total retinal thickness and retinal nerve fiber layer (RNFL) thickness in an APPNL−F/NL−F mouse model of AD at 6, 9, 12, 15, 17, and 20 months old compared to wild type (WT) animals. Methods: Total retinal thickness and RNFL thickness were determined. The mean total retinal thickness was analyzed following the Early Treatment Diabetic Retinopathy Study sectors. RNFL was measured in six sectors of axonal ring scans around the optic nerve. Results: In the APPNL−F/NL−F group compared to WT animals, the total retinal thickness changes observed were the following: (i) At 6-months-old, a significant thinning in the outer temporal sector was observed; (ii) at 15-months-old a significant thinning in the inner temporal and in the inner and outer inferior retinal sectors was noticed; (iii) at 17-months-old, a significant thickening in the inferior and nasal sectors was found in both inner and outer rings; and (iv) at 20-months-old, a significant thinning in the inner ring of nasal, temporal, and inferior retina and in the outer ring of superior and temporal retina was seen. In RNFL thickness, there was significant thinning in the global analysis and in nasal and inner-temporal sectors at 6 months old. Thinning was also found in the supero-temporal and nasal sectors and global value at 20 months old. Conclusions: In the APPNL−F/NL−F AD model, the retinal thickness showed thinning, possibly produced by neurodegeneration alternating with thickening caused by deposits and neuroinflammation in some areas of the retina. These changes over time are similar to those observed in the human retina and could be a biomarker for AD. The APPNL−F/NL−F AD model may help us better understand the different retinal changes during the progression of AD.
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Affiliation(s)
- Elena Salobrar-García
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain.,Department of Immunology, Ophthalmology and Ear, Nose, and Throat, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain
| | - Inés López-Cuenca
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain
| | - Lídia Sánchez-Puebla
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain
| | - Rosa de Hoz
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain.,Department of Immunology, Ophthalmology and Ear, Nose, and Throat, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain
| | - José A Fernández-Albarral
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain
| | - Ana I Ramírez
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain.,Department of Immunology, Ophthalmology and Ear, Nose, and Throat, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain
| | - Isabel Bravo-Ferrer
- Department of Pharmacology and Toxicology, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain.,Edinburgh Medical School, UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Violeta Medina
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - María A Moro
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, Brain Science Institute, RIKEN, Wako, Japan
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Juan J Salazar
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain.,Department of Immunology, Ophthalmology and Ear, Nose, and Throat, Faculty of Optics and Optometry, Complutense University of Madrid, Madrid, Spain
| | - José M Ramírez
- Ramon Castroviejo Ophthalmological Research Institute, Complutense University of Madrid, Madrid, Spain.,Department of Immunology, Ophthalmology and ENT, School of Medicine, Complutense University of Madrid, Madrid, Spain
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16
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Mak E, Dounavi ME, Low A, Carter SF, McKiernan E, Williams GB, Jones PS, Carriere I, Muniz GT, Ritchie K, Ritchie C, Su L, O'Brien JT. Proximity to dementia onset and multi-modal neuroimaging changes: The prevent-dementia study. Neuroimage 2021; 229:117749. [PMID: 33454416 DOI: 10.1016/j.neuroimage.2021.117749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/22/2020] [Accepted: 01/08/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND First-degree relatives of people with dementia (FH+) are at increased risk of developing Alzheimer's disease (AD). Here, we investigate "estimated years to onset of dementia" (EYO) as a surrogate marker of preclinical disease progression and assess its associations with multi-modal neuroimaging biomarkers. METHODS 89 FH+ participants in the PREVENT-Dementia study underwent longitudinal MR imaging over 2 years. EYO was calculated as the difference between the parental age of dementia diagnosis and the current age of the participant (mean EYO = 23.9 years). MPRAGE, ASL and DWI data were processed using Freesurfer, FSL-BASIL and DTI-TK. White matter lesion maps were segmented from FLAIR scans. The SPM Sandwich Estimator Toolbox was used to test for the main effects of EYO and interactions between EYO, Time, and APOE-ε4+. Threshold free cluster enhancement and family wise error rate correction (TFCE FWER) was performed on voxelwise statistical maps. RESULTS There were no significant effects of EYO on regional grey matter atrophy or white matter hyperintensities. However, a shorter EYO was associated with lower white matter Fractional Anisotropy and elevated Mean/Radial Diffusivity, particularly in the corpus callosum (TFCEFWERp < 0.05). The influence of EYO on white matter deficits were significantly stronger compared to that of normal ageing. APOE-ε4 carriers exhibited hyperperfusion with nearer proximity to estimated onset in temporo-parietal regions. There were no interactions between EYO and time, suggesting that EYO was not associated with accelerated imaging changes in this sample. CONCLUSIONS Amongst cognitively normal midlife adults with a family history of dementia, a shorter hypothetical proximity to dementia onset may be associated with incipient brain abnormalities, characterised by white matter disruptions and perfusion abnormalities, particularly amongst APOE-ε4 carriers. Our findings also confer biological validity to the construct of EYO as a potential stage marker of preclinical progression in the context of sporadic dementia. Further clinical follow-up of our longitudinal sample would provide critical validation of these findings.
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Affiliation(s)
- Elijah Mak
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK.
| | - Maria-Eleni Dounavi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| | - Audrey Low
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| | - Stephen F Carter
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| | - Elizabeth McKiernan
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| | - Guy B Williams
- Department of Clinical Neurosciences and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Isabelle Carriere
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | | | - Karen Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK; INSERM and University of Montpellier, Montpellier, France
| | - Craig Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
| | - John T O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SP, UK
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17
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Dincer A, Gordon BA, Hari-Raj A, Keefe SJ, Flores S, McKay NS, Paulick AM, Shady Lewis KE, Feldman RL, Hornbeck RC, Allegri R, Ances BM, Berman SB, Brickman AM, Brooks WS, Cash DM, Chhatwal JP, Farlow MR, la Fougère C, Fox NC, Fulham MJ, Jack CR, Joseph-Mathurin N, Karch CM, Lee A, Levin J, Masters CL, McDade EM, Oh H, Perrin RJ, Raji C, Salloway SP, Schofield PR, Su Y, Villemagne VL, Wang Q, Weiner MW, Xiong C, Yakushev I, Morris JC, Bateman RJ, L S Benzinger T. Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease. NEUROIMAGE-CLINICAL 2020; 28:102491. [PMID: 33395982 PMCID: PMC7689410 DOI: 10.1016/j.nicl.2020.102491] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 09/18/2020] [Accepted: 10/30/2020] [Indexed: 11/30/2022]
Abstract
Cortical signatures selective to AD could provide an early MRI biomarker. Autosomal dominant Alzheimer disease (ADAD) may model an ideal AD signature. ADAD and late-onset maps overlap in parietal cortex but contain unique features. Signatures predicted increasing amyloid within their own, but not across cohorts. These results indicate atrophy in AD can take multiple spatial patterns.
Defining a signature of cortical regions of interest preferentially affected by Alzheimer disease (AD) pathology may offer improved sensitivity to early AD compared to hippocampal volume or mesial temporal lobe alone. Since late-onset Alzheimer disease (LOAD) participants tend to have age-related comorbidities, the younger-onset age in autosomal dominant AD (ADAD) may provide a more idealized model of cortical thinning in AD. To test this, the goals of this study were to compare the degree of overlap between the ADAD and LOAD cortical thinning maps and to evaluate the ability of the ADAD cortical signature regions to predict early pathological changes in cognitively normal individuals. We defined and analyzed the LOAD cortical maps of cortical thickness in 588 participants from the Knight Alzheimer Disease Research Center (Knight ADRC) and the ADAD cortical maps in 269 participants from the Dominantly Inherited Alzheimer Network (DIAN) observational study. Both cohorts were divided into three groups: cognitively normal controls (nADRC = 381; nDIAN = 145), preclinical (nADRC = 153; nDIAN = 76), and cognitively impaired (nADRC = 54; nDIAN = 48). Both cohorts underwent clinical assessments, 3T MRI, and amyloid PET imaging with either 11C-Pittsburgh compound B or 18F-florbetapir. To generate cortical signature maps of cortical thickness, we performed a vertex-wise analysis between the cognitively normal controls and impaired groups within each cohort using six increasingly conservative statistical thresholds to determine significance. The optimal cortical map among the six statistical thresholds was determined from a receiver operating characteristic analysis testing the performance of each map in discriminating between the cognitively normal controls and preclinical groups. We then performed within-cohort and cross-cohort (e.g. ADAD maps evaluated in the Knight ADRC cohort) analyses to examine the sensitivity of the optimal cortical signature maps to the amyloid levels using only the cognitively normal individuals (cognitively normal controls and preclinical groups) in comparison to hippocampal volume. We found the optimal cortical signature maps were sensitive to early increases in amyloid for the asymptomatic individuals within their respective cohorts and were significant beyond the inclusion of hippocampus volume, but the cortical signature maps performed poorly when analyzing across cohorts. These results suggest the cortical signature maps are a useful MRI biomarker of early AD-related neurodegeneration in preclinical individuals and the pattern of decline differs between LOAD and ADAD.
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Affiliation(s)
- Aylin Dincer
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Brian A Gordon
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Amrita Hari-Raj
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Sarah J Keefe
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Shaney Flores
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Nicole S McKay
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Angela M Paulick
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Kristine E Shady Lewis
- Sanders Brown Center on Aging & Alzheimer's, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Rebecca L Feldman
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Russ C Hornbeck
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Ricardo Allegri
- Department of Cognitive Neurology, Neuropsychology and Neuropsychiatry, FLENI, Buenos Aires, Argentina
| | - Beau M Ances
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah B Berman
- Department of Neurology and Clinical & Translational Science, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain and Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - William S Brooks
- Neuroscience Research Australia, Sydney, NSW, Australia; Prince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - David M Cash
- Dementia Research Centre and UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jasmeer P Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin R Farlow
- Department of Neurology, Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Christian la Fougère
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital of Tübingen, Tübingen, Germany
| | - Nick C Fox
- Dementia Research Centre and UK Dementia Research Institute, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Michael J Fulham
- Department of Molecular Imaging, Royal Prince Alfred Hospital and University of Sydney, Sydney, NSW, Australia
| | | | - Nelly Joseph-Mathurin
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Celeste M Karch
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Athene Lee
- Department of Psychiatry and Human Behavior, Department of Neurology, Butler Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany; Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Eric M McDade
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Hwamee Oh
- Department of Psychiatry and Human Behavior, Department of Neurology, Butler Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Richard J Perrin
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Cyrus Raji
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Stephen P Salloway
- Department of Psychiatry and Human Behavior, Department of Neurology, Butler Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia; School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Department of Medicine, Austin Health, University of Melbourne, Melbourne, VIC, Australia
| | - Qing Wang
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Michael W Weiner
- Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Chengjie Xiong
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Igor Yakushev
- Department of Nuclear Medicine, Technical University of Munich, Munich, Germany
| | - John C Morris
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Randall J Bateman
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Tammie L S Benzinger
- Department of Radiology, Department of Neurology, Department of Psychiatry, Department of Pathology and Immunology, Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA.
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Linden DEJ. Genetic risk for Alzheimer disease affects the brain throughout the lifespan. Neurol Genet 2020; 6:e516. [PMID: 33134514 PMCID: PMC7577531 DOI: 10.1212/nxg.0000000000000516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- David E J Linden
- School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
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19
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Moura ELR, Dos Santos H, Celes APM, Bassani TB, Souza LC, Vital MABF. Effects of a Nutritional Formulation Containing Caprylic and Capric Acid, Phosphatidylserine, and Docosahexaenoic Acid in Streptozotocin-Lesioned Rats. J Alzheimers Dis Rep 2020; 4:353-363. [PMID: 33163896 PMCID: PMC7592840 DOI: 10.3233/adr-200175] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background It has been studied that nutrition can influence Alzheimer's disease (AD) onset and progression. Some studies on rodents using intraventricular streptozotocin (STZ) injection showed that this toxin changes cerebral glucose metabolism and insulin signaling pathways. Objective The aim of the present study was to evaluate whether a nutritional formulation could reduce cognitive impairment in STZ-induced animals. Methods The rats were randomly divided into two groups: sham and STZ. The STZ group received a single bilateral STZ-ICV injection (1 mg/kg). The sham group received a bilateral ICV injection of 0.9% saline solution. The animals were treated with AZ1 formulation (Instanth® NEO, Prodiet Medical Nutrition) (1 g/kg, PO) or its vehicle (saline solution) for 30 days, once a day starting one day after the stereotaxic surgery (n = 6-10). The rats were evaluated using the open field test to evaluate locomotor activity at day 27 after surgery. Cognitive performance was evaluated at day 28 using the object recognition test and the spatial version of the Y-maze test. At day 30, the rats were anesthetized with chloral hydrate (400 mg/kg, i.p) and euthanized in order to evaluate IBA1 in the hippocampus. The differences were analyzed using one-way ANOVA with Bonferroni's or Kruskal Wallis with Dunn's post-hoc test. Results/Conclusion STZ-lesioned rats present memory impairment besides the increased microglial activation. The treatment with AZ1 formulation reversed the memory impairment observed in the object recognition test and Y-maze and also reduced IBA1 in CA1 and DG.
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Affiliation(s)
- Eric L R Moura
- Department of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil
| | - Hellin Dos Santos
- Scientific Department, Prodiet Medical Nutrition, Curitiba, PR, Brazil
| | - Ana Paula M Celes
- Scientific Department, Prodiet Medical Nutrition, Curitiba, PR, Brazil
| | - Taysa B Bassani
- Department of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil
| | - Leonardo C Souza
- Department of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil
| | - Maria A B F Vital
- Department of Pharmacology, Federal University of Paraná, Curitiba, PR, Brazil
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20
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Castillo-Barnes D, Su L, Ramírez J, Salas-Gonzalez D, Martinez-Murcia FJ, Illan IA, Segovia F, Ortiz A, Cruchaga C, Farlow MR, Xiong C, Graff-Radford NR, Schofield PR, Masters CL, Salloway S, Jucker M, Mori H, Levin J, Gorriz JM. Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning. AN INTERNATIONAL JOURNAL ON INFORMATION FUSION 2020; 58:153-167. [PMID: 32284705 PMCID: PMC7153760 DOI: 10.1016/j.inffus.2020.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Despite 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.
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Affiliation(s)
- Diego Castillo-Barnes
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridge (UK)
| | - Javier Ramírez
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Diego Salas-Gonzalez
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | | | - Ignacio A. Illan
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Fermin Segovia
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Andres Ortiz
- Department of Communications Engineering, University of Malaga, Malaga (Spain)
| | - Carlos Cruchaga
- Department of Psychiatry and Neurology, Washington University School of Medicine, St. Louis, Missouri (USA)
| | - Martin R. Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana (USA)
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri (USA)
| | | | - Peter R. Schofield
- Neuroscience Research Australia and School of Medical Sciences, University of New South Wales, Sydney (Australia)
| | - Colin L. Masters
- Florey Institute and University of Melbourne, Victoria (Australia)
| | | | - Mathias Jucker
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen (Germany)
| | - Hiroshi Mori
- Department of Clinical Neuroscience, Osaka City University Medical school, Osaka (Japan)
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University of Munich, Munich (Germany)
| | - Juan M. Gorriz
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
- Department of Psychiatry, University of Cambridge, Cambridge (UK)
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21
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Edmonds EC, Weigand AJ, Hatton SN, Marshall AJ, Thomas KR, Ayala DA, Bondi MW, McDonald CR. Patterns of longitudinal cortical atrophy over 3 years in empirically derived MCI subtypes. Neurology 2020; 94:e2532-e2544. [PMID: 32393648 DOI: 10.1212/wnl.0000000000009462] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 12/04/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We previously identified 4 empirically derived mild cognitive impairment (MCI) subtypes via cluster analysis within the Alzheimer's Disease Neuroimaging Initiative (ADNI) and demonstrated high correspondence between patterns of cortical thinning at baseline and each cognitive subtype. We aimed to determine whether our MCI subtypes demonstrate unique longitudinal atrophy patterns. METHODS ADNI participants (295 with MCI and 134 cognitively normal [CN]) underwent annual structural MRI and neuropsychological assessments. General linear modeling compared vertex-wise differences in cortical atrophy rates between each MCI subtype and the CN group. Linear mixed models examined trajectories of cortical atrophy over 3 years within lobar regions of interest. RESULTS Compared to the CN group, those with amnestic MCI (memory deficit) initially demonstrated greater atrophy rates within medial temporal lobe regions that became more widespread over time. Those with dysnomic/amnestic MCI (naming/memory deficits) showed greater atrophy rates largely localized to temporal lobe regions. The mixed MCI (impairment in all cognitive domains) group showed greater atrophy rates in widespread regions at all time points. The cluster-derived normal group, who had intact neuropsychological performance and normal cortical thickness at baseline despite their MCI diagnosis via conventional diagnostic criteria, continued to show normal cognition and minimal cortical atrophy over 3 years. CONCLUSIONS ADNI's purported amnestic MCI sample produced more refined cognitive subtypes with unique longitudinal cortical atrophy rates. These novel MCI subtypes reliably reflect underlying atrophy, reduce false-positive diagnostic errors, and improve prediction of clinical course. Such improvements have implications for the selection of participants for clinical trials and for providing more precise risk assessment for individuals diagnosed with MCI.
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Affiliation(s)
- Emily C Edmonds
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA.
| | - Alexandra J Weigand
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Sean N Hatton
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Anisa J Marshall
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Kelsey R Thomas
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Daniela A Ayala
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Mark W Bondi
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
| | - Carrie R McDonald
- From the Veterans Affairs San Diego Healthcare System (E.C.E., K.R.T., M.W.B.); Department of Psychiatry (E.C.E., S.N.H., K.R.T., M.W.B., C.R.M.), Center for Multimodal Imaging and Genetics (S.N.H., A.M., C.R.M.), Department of Neurosciences (S.N.H.), and Center for Behavior Genetics of Aging (S.N.H.), University of California San Diego, La Jolla; Joint Doctoral Program in Clinical Psychology (A.J.W., J.E.), San Diego State University/University of California San Diego; Department of Psychology (A.J.M.), University of Southern California, Los Angeles; and Department of Biology (D.A.A.), San Diego State University, CA
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22
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Chen Q, Boeve BF, Senjem M, Tosakulwong N, Lesnick TG, Brushaber D, Dheel C, Fields J, Forsberg L, Gavrilova R, Gearhart D, Graff-Radford J, Graff-Radford NR, Jack CR, Jones DT, Knopman DS, Kremers WK, Lapid M, Rademakers R, Syrjanen J, Boxer AL, Rosen H, Wszolek ZK, Kantarci K. Rates of lobar atrophy in asymptomatic MAPT mutation carriers. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2019; 5:338-346. [PMID: 31388560 PMCID: PMC6675939 DOI: 10.1016/j.trci.2019.05.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
INTRODUCTION The aim of this study was to investigate the rates of lobar atrophy in the asymptomatic microtubule-associated protein tau (MAPT) mutation carriers. METHODS MAPT mutation carriers (n = 14; 10 asymptomatic, 4 converters from asymptomatic to symptomatic) and noncarriers (n = 13) underwent structural magnetic resonance imaging and were followed annually with a median of 9.2 years. Longitudinal changes in lobar atrophy were analyzed using the tensor-based morphometry with symmetric normalization algorithm. RESULTS The rate of temporal lobe atrophy in asymptomatic MAPT mutation carriers was faster than that in noncarriers. Although the greatest rate of atrophy was observed in the temporal lobe in converters, they also had increased atrophy rates in the frontal and parietal lobes compared to noncarriers. DISCUSSION Accelerated decline in temporal lobe volume occurs in asymptomatic MAPT mutation carriers followed by the frontal and parietal lobe in those who have become symptomatic. The findings have implications for monitoring the progression of neurodegeneration during clinical trials in asymptomatic MAPT mutation carriers.
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Affiliation(s)
- Qin Chen
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Bradley F. Boeve
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - Matthew Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Danielle Brushaber
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Christina Dheel
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - Julie Fields
- Department of Psychology and Psychiatry, Mayo Clinic, Rochester, MN, USA
| | - Leah Forsberg
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - Ralitza Gavrilova
- Department of Clinical Genomic and Neurology, Mayo Clinic, Rochester, MN, USA
| | - Debra Gearhart
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - Jonathan Graff-Radford
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | | | - Clifford R. Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - David T. Jones
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - David S. Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
| | - Walter K. Kremers
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Maria Lapid
- Department of Psychology and Psychiatry, Mayo Clinic, Rochester, MN, USA
| | - Rosa Rademakers
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Jeremy Syrjanen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Adam L. Boxer
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Howie Rosen
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | | | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Alzheimer's Disease Research Center, Mayo Clinic, Rochester, MN, USA
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23
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Risacher SL, Saykin AJ. Neuroimaging in aging and neurologic diseases. HANDBOOK OF CLINICAL NEUROLOGY 2019; 167:191-227. [PMID: 31753134 DOI: 10.1016/b978-0-12-804766-8.00012-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Neuroimaging biomarkers for neurologic diseases are important tools, both for understanding pathology associated with cognitive and clinical symptoms and for differential diagnosis. This chapter explores neuroimaging measures, including structural and functional measures from magnetic resonance imaging (MRI) and molecular measures primarily from positron emission tomography (PET), in healthy aging adults and in a number of neurologic diseases. The spectrum covers neuroimaging measures from normal aging to a variety of dementias: late-onset Alzheimer's disease [AD; including mild cognitive impairment (MCI)], familial and nonfamilial early-onset AD, atypical AD syndromes, posterior cortical atrophy (PCA), logopenic aphasia (lvPPA), cerebral amyloid angiopathy (CAA), vascular dementia (VaD), sporadic and familial behavioral-variant frontotemporal dementia (bvFTD), semantic dementia (SD), progressive nonfluent aphasia (PNFA), frontotemporal dementia with motor neuron disease (FTD-MND), frontotemporal dementia with amyotrophic lateral sclerosis (FTD-ALS), corticobasal degeneration (CBD), progressive supranuclear palsy (PSP), dementia with Lewy bodies (DLB), Parkinson's disease (PD) with and without dementia, and multiple systems atrophy (MSA). We also include a discussion of the appropriate use criteria (AUC) for amyloid imaging and conclude with a discussion of differential diagnosis of neurologic dementia disorders in the context of neuroimaging.
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Affiliation(s)
- Shannon L Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.
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Iglesias JE, Insausti R, Lerma-Usabiaga G, Bocchetta M, Van Leemput K, Greve DN, van der Kouwe A, Fischl B, Caballero-Gaudes C, Paz-Alonso PM. A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. Neuroimage 2018; 183:314-326. [PMID: 30121337 PMCID: PMC6215335 DOI: 10.1016/j.neuroimage.2018.08.012] [Citation(s) in RCA: 286] [Impact Index Per Article: 47.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/27/2018] [Accepted: 08/09/2018] [Indexed: 01/18/2023] Open
Abstract
The human thalamus is a brain structure that comprises numerous, highly specific nuclei. Since these nuclei are known to have different functions and to be connected to different areas of the cerebral cortex, it is of great interest for the neuroimaging community to study their volume, shape and connectivity in vivo with MRI. In this study, we present a probabilistic atlas of the thalamic nuclei built using ex vivo brain MRI scans and histological data, as well as the application of the atlas to in vivo MRI segmentation. The atlas was built using manual delineation of 26 thalamic nuclei on the serial histology of 12 whole thalami from six autopsy samples, combined with manual segmentations of the whole thalamus and surrounding structures (caudate, putamen, hippocampus, etc.) made on in vivo brain MR data from 39 subjects. The 3D structure of the histological data and corresponding manual segmentations was recovered using the ex vivo MRI as reference frame, and stacks of blockface photographs acquired during the sectioning as intermediate target. The atlas, which was encoded as an adaptive tetrahedral mesh, shows a good agreement with previous histological studies of the thalamus in terms of volumes of representative nuclei. When applied to segmentation of in vivo scans using Bayesian inference, the atlas shows excellent test-retest reliability, robustness to changes in input MRI contrast, and ability to detect differential thalamic effects in subjects with Alzheimer's disease. The probabilistic atlas and companion segmentation tool are publicly available as part of the neuroimaging package FreeSurfer.
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Affiliation(s)
- Juan Eugenio Iglesias
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, United Kingdom; BCBL. Basque Center on Cognition, Brain and Language, Spain.
| | - Ricardo Insausti
- Human Neuroanatomy Laboratory, University of Castilla-La Mancha, Spain
| | | | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, Institute of Neurology, University College London, United Kingdom
| | - Koen Van Leemput
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, USA; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark
| | - Douglas N Greve
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, USA
| | - Andre van der Kouwe
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, USA
| | - Bruce Fischl
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, USA; MIT Computer Science and Artificial Intelligence Laboratory, USA
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25
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Bussy A, Snider BJ, Coble D, Xiong C, Fagan AM, Cruchaga C, Benzinger TLS, Gordon BA, Hassenstab J, Bateman RJ, Morris JC. Effect of apolipoprotein E4 on clinical, neuroimaging, and biomarker measures in noncarrier participants in the Dominantly Inherited Alzheimer Network. Neurobiol Aging 2018; 75:42-50. [PMID: 30530186 DOI: 10.1016/j.neurobiolaging.2018.10.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 09/28/2018] [Accepted: 10/05/2018] [Indexed: 11/19/2022]
Abstract
The apolipoprotein E ε4 allele (APOE4) is the major genetic risk factor for sporadic Alzheimer's disease (AD). APOE4 may have effects on cognition and brain atrophy years before the onset of symptomatic AD. We analyzed the effects of APOE4 in a unique cohort of young adults who had undergone comprehensive assessments as part of the Dominantly Inherited Alzheimer Network (DIAN), an international longitudinal study of individuals from families with autosomal dominant AD. We analyzed the effect of an APOE4 allele on cognitive measures, volumetric MRI, amyloid deposition, glucose metabolism, and on cerebrospinal fluid levels of AD biomarkers in 162 participants that did not carry the mutant gene (noncarriers). APOE4+ and APOE4- mutation noncarriers had similar performance on cognitive measures. Amyloid deposition began at an earlier age in APOE4+ participants, whereas hippocampal volume was similar between the groups. These preliminary findings are consistent with growing evidence that the APOE4 allele may exert effects in midlife years before symptom onset, promoting amyloid deposition before altering cognitive performance or brain structure.
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Affiliation(s)
- Aurélie Bussy
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - B Joy Snider
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO.
| | - Dean Coble
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO
| | - Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO
| | - Anne M Fagan
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO
| | - Tammie L S Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Radiology, Washington University School of Medicine, Saint Louis, MO
| | - Brian A Gordon
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Radiology, Washington University School of Medicine, Saint Louis, MO
| | - Jason Hassenstab
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - Randall J Bateman
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, Saint Louis, MO; Department of Neurology, Washington University School of Medicine, Saint Louis, MO
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Joseph-Mathurin N, Su Y, Blazey TM, Jasielec M, Vlassenko A, Friedrichsen K, Gordon BA, Hornbeck RC, Cash L, Ances BM, Veale T, Cash DM, Brickman AM, Buckles V, Cairns NJ, Cruchaga C, Goate A, Jack CR, Karch C, Klunk W, Koeppe RA, Marcus DS, Mayeux R, McDade E, Noble JM, Ringman J, Saykin AJ, Thompson PM, Xiong C, Morris JC, Bateman RJ, Benzinger TLS. Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:669-677. [PMID: 30417072 PMCID: PMC6215983 DOI: 10.1016/j.dadm.2018.08.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Introduction 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is commonly used to estimate neuronal injury in Alzheimer's disease (AD). Here, we evaluate the utility of dynamic PET measures of perfusion using 11C-Pittsburgh compound B (PiB) to estimate neuronal injury in comparison to FDG PET. Methods FDG, early frames of PiB images, and relative PiB delivery rate constants (PiB-R1) were obtained from 110 participants from the Dominantly Inherited Alzheimer Network. Voxelwise, regional cross-sectional, and longitudinal analyses were done to evaluate the correlation between images and estimate the relationship of the imaging biomarkers with estimated time to disease progression based on family history. Results Metabolism and perfusion images were spatially correlated. Regional PiB-R1 values and FDG, but not early frames of PiB images, significantly decreased in the mutation carriers with estimated year to onset and with increasing dementia severity. Discussion Hypometabolism estimated by PiB-R1 may provide a measure of brain perfusion without increasing radiation exposure.
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Affiliation(s)
- Nelly Joseph-Mathurin
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Tyler M Blazey
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Mateusz Jasielec
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Andrei Vlassenko
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Karl Friedrichsen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Brian A Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Russ C Hornbeck
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Lisa Cash
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Beau M Ances
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Thomas Veale
- Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Adam M Brickman
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Virginia Buckles
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Nigel J Cairns
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Alison Goate
- Neuroscience Department Laboratories, Mount Sinai School of Medicine, New York, NY, USA
| | | | - Celeste Karch
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - William Klunk
- Departments of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Robert A Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Daniel S Marcus
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Richard Mayeux
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - James M Noble
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - John Ringman
- Memory and Aging Center, Department of Neurology, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Paul M Thompson
- Laboratory of Neuroimaging, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA
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McDade E, Wang G, Gordon BA, Hassenstab J, Benzinger TLS, Buckles V, Fagan AM, Holtzman DM, Cairns NJ, Goate AM, Marcus DS, Morris JC, Paumier K, Xiong C, Allegri R, Berman SB, Klunk W, Noble J, Ringman J, Ghetti B, Farlow M, Sperling RA, Chhatwal J, Salloway S, Graff-Radford NR, Schofield PR, Masters C, Rossor MN, Fox NC, Levin J, Jucker M, Bateman RJ. Longitudinal cognitive and biomarker changes in dominantly inherited Alzheimer disease. Neurology 2018; 91:e1295-e1306. [PMID: 30217935 DOI: 10.1212/wnl.0000000000006277] [Citation(s) in RCA: 186] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 07/05/2018] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE To assess the onset, sequence, and rate of progression of comprehensive biomarker and clinical measures across the spectrum of Alzheimer disease (AD) using the Dominantly Inherited Alzheimer Network (DIAN) study and compare these to cross-sectional estimates. METHODS We conducted longitudinal clinical, cognitive, CSF, and neuroimaging assessments (mean of 2.7 [±1.1] visits) in 217 DIAN participants. Linear mixed effects models were used to assess changes in each measure relative to individuals' estimated years to symptom onset and to compare mutation carriers and noncarriers. RESULTS Longitudinal β-amyloid measures changed first (starting 25 years before estimated symptom onset), followed by declines in measures of cortical metabolism (approximately 7-10 years later), then cognition and hippocampal atrophy (approximately 20 years later). There were significant differences in the estimates of CSF p-tau181 and tau, with elevations from cross-sectional estimates preceding longitudinal estimates by over 10 years; further, longitudinal estimates identified a significant decline in CSF p-tau181 near symptom onset as opposed to continued elevations. CONCLUSION These longitudinal estimates clarify the sequence and temporal dynamics of presymptomatic pathologic changes in autosomal dominant AD, information critical to a better understanding of the disease. The pattern of biomarker changes identified here also suggests that once β-amyloidosis begins, additional pathologies may begin to develop less than 10 years later, but more than 15 years before symptom onset, an important consideration for interventions meant to alter the disease course.
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Affiliation(s)
- Eric McDade
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany.
| | - Guoqiao Wang
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Brian A Gordon
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Jason Hassenstab
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Tammie L S Benzinger
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Virginia Buckles
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Anne M Fagan
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - David M Holtzman
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Nigel J Cairns
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Alison M Goate
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Daniel S Marcus
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - John C Morris
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Katrina Paumier
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Chengjie Xiong
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Ricardo Allegri
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Sarah B Berman
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - William Klunk
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - James Noble
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - John Ringman
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Bernardino Ghetti
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Martin Farlow
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Reisa A Sperling
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Jasmeer Chhatwal
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Stephen Salloway
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Neill R Graff-Radford
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Peter R Schofield
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Colin Masters
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Martin N Rossor
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Nick C Fox
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Johannes Levin
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Mathias Jucker
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany
| | - Randall J Bateman
- From the Department of Neurology (E.M., J.H., V.B., A.M.F., D.M.H., J.C.M., K.P., R.J.B.), Division of Biostatistics (G.W., C.X.), Department of Radiology (B.A.G., T.L.S.B., D.S.M.), and Department of Pathology (N.J.C.), Washington University School of Medicine, Saint Louis, MO; Department of Neuroscience (A.M.J.), Icahn School of Medicine at Mount Sinai, New York, NY; Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI) (R.A.), Instituto de Investigaciones Neurológicas Raúl Correa, Buenos Aires, Argentina; University of Pittsburgh School of Medicine (S.B.B., W.K.), PA; College of Physicians and Surgeons (J.N.), Columbia University, New York, NY; Department of Neurology (J.R.), Keck School of Medicine of University of Southern California, Los Angeles; Department of Neurology (B.G., M.F.), Indiana University, Indianapolis; Massachusetts General Hospital (R.A.S., J.C.), Harvard Medical School, Boston; Butler Hospital and Brown University (S.S.), Providence, RI; Department of Neurology (N.R.G.-R.), Mayo Clinic Jacksonville, FL; Neuroscience Research Australia (P.R.S.); School of Medical Sciences (P.R.S.), University of New South Wales, Sydney; The Florey Institute and the University of Melbourne (C.M.), Parkville, Australia; Dementia Research Centre, Institute of Neurology (M.N.R., N.C.F.), University College London, UK; German Center for Neurodegenerative Diseases (DZNE) Munich (J.L.); Department of Neurology (J.L.), Ludwig-Maximilians Universität München; German Center for Neurodegenerative Diseases (DZNE) Tübingen (M.J.); and Hertie-Institute for Clinical Brain Research (M.J.), University of Tübingen, Germany.
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Oxtoby NP, Young AL, Cash DM, Benzinger TLS, Fagan AM, Morris JC, Bateman RJ, Fox NC, Schott JM, Alexander DC. Data-driven models of dominantly-inherited Alzheimer's disease progression. Brain 2018; 141:1529-1544. [PMID: 29579160 PMCID: PMC5920320 DOI: 10.1093/brain/awy050] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 11/23/2017] [Accepted: 01/06/2018] [Indexed: 11/16/2022] Open
Abstract
See Li and Donohue (doi:10.1093/brain/awy089) for a scientific commentary on this article.Dominantly-inherited Alzheimer's disease is widely hoped to hold the key to developing interventions for sporadic late onset Alzheimer's disease. We use emerging techniques in generative data-driven disease progression modelling to characterize dominantly-inherited Alzheimer's disease progression with unprecedented resolution, and without relying upon familial estimates of years until symptom onset. We retrospectively analysed biomarker data from the sixth data freeze of the Dominantly Inherited Alzheimer Network observational study, including measures of amyloid proteins and neurofibrillary tangles in the brain, regional brain volumes and cortical thicknesses, brain glucose hypometabolism, and cognitive performance from the Mini-Mental State Examination (all adjusted for age, years of education, sex, and head size, as appropriate). Data included 338 participants with known mutation status (211 mutation carriers in three subtypes: 163 PSEN1, 17 PSEN2, and 31 APP) and a baseline visit (age 19-66; up to four visits each, 1.1 ± 1.9 years in duration; spanning 30 years before, to 21 years after, parental age of symptom onset). We used an event-based model to estimate sequences of biomarker changes from baseline data across disease subtypes (mutation groups), and a differential equation model to estimate biomarker trajectories from longitudinal data (up to 66 mutation carriers, all subtypes combined). The two models concur that biomarker abnormality proceeds as follows: amyloid deposition in cortical then subcortical regions (∼24 ± 11 years before onset); phosphorylated tau (17 ± 8 years), tau and amyloid-β changes in cerebrospinal fluid; neurodegeneration first in the putamen and nucleus accumbens (up to 6 ± 2 years); then cognitive decline (7 ± 6 years), cerebral hypometabolism (4 ± 4 years), and further regional neurodegeneration. Our models predicted symptom onset more accurately than predictions that used familial estimates: root mean squared error of 1.35 years versus 5.54 years. The models reveal hidden detail on dominantly-inherited Alzheimer's disease progression, as well as providing data-driven systems for fine-grained patient staging and prediction of symptom onset with great potential utility in clinical trials.
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Affiliation(s)
- Neil P Oxtoby
- Progression of Neurodegenerative Disease Group, Centre for Medical Image Computing, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK
| | - Alexandra L Young
- Progression of Neurodegenerative Disease Group, Centre for Medical Image Computing, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, 8-11 Queen Square, London WC1N 3AR, UK
- Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, UK
| | - Tammie L S Benzinger
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Anne M Fagan
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - John C Morris
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, 8-11 Queen Square, London WC1N 3AR, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, 8-11 Queen Square, London WC1N 3AR, UK
| | - Daniel C Alexander
- Progression of Neurodegenerative Disease Group, Centre for Medical Image Computing, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK
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Polygenic risk for Alzheimer's disease influences precuneal volume in two independent general populations. Neurobiol Aging 2018; 64:116-122. [DOI: 10.1016/j.neurobiolaging.2017.12.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 11/27/2017] [Accepted: 12/21/2017] [Indexed: 11/20/2022]
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Petok JR, Myers CE, Pa J, Hobel Z, Wharton DM, Medina LD, Casado M, Coppola G, Gluck MA, Ringman JM. Impairment of memory generalization in preclinical autosomal dominant Alzheimer's disease mutation carriers. Neurobiol Aging 2018; 65:149-157. [PMID: 29494861 DOI: 10.1016/j.neurobiolaging.2018.01.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 01/06/2018] [Accepted: 01/26/2018] [Indexed: 11/30/2022]
Abstract
Fast, inexpensive, and noninvasive identification of Alzheimer's disease (AD) before clinical symptoms emerge would augment our ability to intervene early in the disease. Individuals with fully penetrant genetic mutations causing autosomal dominant Alzheimer's disease (ADAD) are essentially certain to develop the disease, providing a unique opportunity to examine biomarkers during the preclinical stage. Using a generalization task that has previously shown to be sensitive to medial temporal lobe pathology, we compared preclinical individuals carrying ADAD mutations to noncarrying kin to determine whether generalization (the ability to transfer previous learning to novel but familiar recombinations) is vulnerable early, before overt cognitive decline. As predicted, results revealed that preclinical ADAD mutation carriers made significantly more errors during generalization than noncarrying kin, despite no differences between groups during learning or retention. This impairment correlated with the left hippocampal volume, particularly in mutation carriers. Such identification of generalization deficits in early ADAD may provide an easily implementable and potentially linguistically and culturally neutral way to identify and track cognition in ADAD.
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Affiliation(s)
- Jessica R Petok
- Department of Psychology, Saint Olaf College, Northfield, MN, USA; Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA.
| | - Catherine E Myers
- Department of Veterans Affairs, New Jersey Health Care System, East Orange, NJ, USA; Department of Pharmacology, Physiology & Neuroscience, Rutgers-New Jersey Medical School, Newark, NJ, USA
| | - Judy Pa
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Department of Neurology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Zachary Hobel
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Department of Neurology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - David M Wharton
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Vanderbilt University, Nashville, TN, USA
| | - Luis D Medina
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Department of Neurosurgery, University of Colorado School of Medicine, Aurora, CO, USA
| | - Maria Casado
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA
| | - Giovanni Coppola
- Department of Neurology, UCLA, Los Angeles, CA, USA; Semel Institute of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
| | - Mark A Gluck
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA
| | - John M Ringman
- Department of Neurology, UCLA, Los Angeles, CA, USA; Easton Center for Alzheimer's Disease Research, Los Angeles, CA, USA; Memory and Aging Center, Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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31
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Kinnunen KM, Cash DM, Poole T, Frost C, Benzinger TLS, Ahsan RL, Leung KK, Cardoso MJ, Modat M, Malone IB, Morris JC, Bateman RJ, Marcus DS, Goate A, Salloway SP, Correia S, Sperling RA, Chhatwal JP, Mayeux RP, Brickman AM, Martins RN, Farlow MR, Ghetti B, Saykin AJ, Jack CR, Schofield PR, McDade E, Weiner MW, Ringman JM, Thompson PM, Masters CL, Rowe CC, Rossor MN, Ourselin S, Fox NC. Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 2018; 14:43-53. [PMID: 28738187 PMCID: PMC5751893 DOI: 10.1016/j.jalz.2017.06.2268] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 06/10/2017] [Accepted: 06/12/2017] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Identifying at what point atrophy rates first change in Alzheimer's disease is important for informing design of presymptomatic trials. METHODS Serial T1-weighted magnetic resonance imaging scans of 94 participants (28 noncarriers, 66 carriers) from the Dominantly Inherited Alzheimer Network were used to measure brain, ventricular, and hippocampal atrophy rates. For each structure, nonlinear mixed-effects models estimated the change-points when atrophy rates deviate from normal and the rates of change before and after this point. RESULTS Atrophy increased after the change-point, which occurred 1-1.5 years (assuming a single step change in atrophy rate) or 3-8 years (assuming gradual acceleration of atrophy) before expected symptom onset. At expected symptom onset, estimated atrophy rates were at least 3.6 times than those before the change-point. DISCUSSION Atrophy rates are pathologically increased up to seven years before "expected onset". During this period, atrophy rates may be useful for inclusion and tracking of disease progression.
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Affiliation(s)
- Kirsi M. Kinnunen
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - David M. Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK,Corresponding author. Tel.: +44 203 448 3054; Fax: +44 (0)20 3448 3104.,
| | - Teresa Poole
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Chris Frost
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | | | - R. Laila Ahsan
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Kelvin K. Leung
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - M. Jorge Cardoso
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Marc Modat
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Ian B. Malone
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel S. Marcus
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen P. Salloway
- Department of Neurology, Butler Hospital, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Stephen Correia
- Department of Neurology, Butler Hospital, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Reisa A. Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jasmeer P. Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard P. Mayeux
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Adam M. Brickman
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Ralph N. Martins
- Centre of Excellence for Alzheimer’s Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Martin R. Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernardino Ghetti
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences, Centre for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael W. Weiner
- Department of Radiology, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - John M. Ringman
- Department of Neurology, Keck USC School of Medicine, Los Angeles, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Colin L. Masters
- The Florey Institute, University of Melbourne, Parkville, VIC, Australia
| | - Christopher C. Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg, VIC, Australia,Department of Medicine, University of Melbourne, Austin Health, Heidelberg, VIC, Australia
| | - Martin N. Rossor
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
| | - Sebastien Ourselin
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK,Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Nick C. Fox
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, UK
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Abstract
Alzheimer disease neuropathology is characterized by the extracellular accumulation of Aβ peptide and intracellular aggregation of hyperphosphorylated tau. With the progression of the disease, macroscopic atrophy affects the entorhinal area and hippocampus, amygdala, and associative regions of the neocortex. The locus coeruleus is depigmented. The deposition of Aβ is first made of diffuse deposits. Amyloid focal deposits constitute the core of the senile plaque which also comprises a corona of tau-positive neurites. Aβ deposits are found successively in the neocortex, the hippocampus, the striatum, the mesencephalon, and finally the cerebellum together with the pontine nuclei (Thal phases). Tau pathology affects in a stereotyped order some specific nuclei of the brainstem, the entorhinal area, the hippocampus, and the neocortex - first the associative areas and secondarily the primary cortices (Braak stages). Loss of synapses is observed in association with tau and Aβ pathology; neuronal loss occurs in the most affected areas. Granulovacuolar degeneration and perisomatic granules are also linked to Alzheimer disease pathology. The physiopathology of Alzheimer disease remains unknown. Familial cases suggest that Aβ deposition is the initial step, but tau pathology appears early in the course and seems to be better correlated with the symptoms.
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Affiliation(s)
- Ana Laura Calderon-Garcidueñas
- Raymond Escourolle Neuropathology Department. Groupe Hospitalier Pitié-Salpêtrière, Paris, France; Instituto de Medicina Forense, Universidad Veracruzana, Boca del Río, Mexico
| | - Charles Duyckaerts
- Raymond Escourolle Neuropathology Department. Groupe Hospitalier Pitié-Salpêtrière, Paris, France; Alzheimer-Prion Research Team, Institut du Cerveau et de la Moelle (ICM), Paris, France.
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33
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McKenzie AT, Moyon S, Wang M, Katsyv I, Song WM, Zhou X, Dammer EB, Duong DM, Aaker J, Zhao Y, Beckmann N, Wang P, Zhu J, Lah JJ, Seyfried NT, Levey AI, Katsel P, Haroutunian V, Schadt EE, Popko B, Casaccia P, Zhang B. Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer's disease. Mol Neurodegener 2017; 12:82. [PMID: 29110684 PMCID: PMC5674813 DOI: 10.1186/s13024-017-0219-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 10/17/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Oligodendrocytes (OLs) and myelin are critical for normal brain function and have been implicated in neurodegeneration. Several lines of evidence including neuroimaging and neuropathological data suggest that Alzheimer's disease (AD) may be associated with dysmyelination and a breakdown of OL-axon communication. METHODS In order to understand this phenomenon on a molecular level, we systematically interrogated OL-enriched gene networks constructed from large-scale genomic, transcriptomic and proteomic data obtained from human AD postmortem brain samples. We then validated these networks using gene expression datasets generated from mice with ablation of major gene expression nodes identified in our AD-dysregulated networks. RESULTS The robust OL gene coexpression networks that we identified were highly enriched for genes associated with AD risk variants, such as BIN1 and demonstrated strong dysregulation in AD. We further corroborated the structure of the corresponding gene causal networks using datasets generated from the brain of mice with ablation of key network drivers, such as UGT8, CNP and PLP1, which were identified from human AD brain data. Further, we found that mice with genetic ablations of Cnp mimicked aspects of myelin and mitochondrial gene expression dysregulation seen in brain samples from patients with AD, including decreased protein expression of BIN1 and GOT2. CONCLUSIONS This study provides a molecular blueprint of the dysregulation of gene expression networks of OL in AD and identifies key OL- and myelination-related genes and networks that are highly associated with AD.
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Affiliation(s)
- Andrew T. McKenzie
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Sarah Moyon
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Neuroscience Initiative, The City University of New York, Advanced Science Research Center, 85 St. Nicholas Terrace, New York, NY 10031 USA
| | - Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Igor Katsyv
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Eric B. Dammer
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Duc M. Duong
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322 USA
- Integrated Proteomics Core Facility, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Joshua Aaker
- Department of Neurology, The University of Chicago Pritzker School of Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637 USA
| | - Yongzhong Zhao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Noam Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Jun Zhu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA 30322 USA
- Integrated Proteomics Core Facility, Emory University School of Medicine, Atlanta, GA 30322 USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Allan I. Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322 USA
- Center for Neurodegenerative Disease, Emory University School of Medicine, Atlanta, GA 30322 USA
| | - Pavel Katsel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Vahram Haroutunian
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
- Mental Illness Research, Education, and Clinical Center (VISN 3), James J. Peters VA Medical Center, Bronx, NY 10468 USA
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
| | - Brian Popko
- Department of Neurology, The University of Chicago Pritzker School of Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637 USA
| | - Patrizia Casaccia
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
- Neuroscience Initiative, The City University of New York, Advanced Science Research Center, 85 St. Nicholas Terrace, New York, NY 10031 USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1470 Madison Avenue, Room S8-111, New York, NY 10029 USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029 USA
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34
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Harper L, Bouwman F, Burton EJ, Barkhof F, Scheltens P, O'Brien JT, Fox NC, Ridgway GR, Schott JM. Patterns of atrophy in pathologically confirmed dementias: a voxelwise analysis. J Neurol Neurosurg Psychiatry 2017; 88:908-916. [PMID: 28473626 PMCID: PMC5740544 DOI: 10.1136/jnnp-2016-314978] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 01/23/2017] [Accepted: 03/08/2017] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Imaging is recommended to support the clinical diagnoses of dementias, yet imaging research studies rarely have pathological confirmation of disease. This study aims to characterise patterns of brain volume loss in six primary pathologies compared with controls and to each other. METHODS One hundred and eighty-six patients with a clinical diagnosis of dementia and histopathological confirmation of underlying pathology, and 73 healthy controls were included in this study. Voxel-based morphometry, based on ante-mortem T1-weighted MRI, was used to identify cross-sectional group differences in brain volume. RESULTS Early-onset and late-onset Alzheimer's disease exhibited different patterns of grey matter volume loss, with more extensive temporoparietal involvement in the early-onset group, and more focal medial temporal lobe loss in the late-onset group. The Presenilin-1 group had similar parietal involvement to the early-onset group with localised volume loss in the thalamus, medial temporal lobe and temporal neocortex. Lewy body pathology was associated with less extensive volume loss than the other pathologies, although precentral/postcentral gyri volume was reduced in comparison with other pathological groups. Tau and TDP43A pathologies demonstrated similar patterns of frontotemporal volume loss, although less extensive on the right in the 4-repeat-tau group, with greater parietal involvement in the TDP43A group. The TDP43C group demonstrated greater left anterior-temporal involvement. CONCLUSIONS Pathologically distinct dementias exhibit characteristic patterns of regional volume loss compared with controls and other dementias. Voxelwise differences identified in these cohorts highlight imaging signatures that may aid in the differentiation of dementia subtypes during life. The results of this study are available for further examination via NeuroVault (http://neurovault.org/collections/ADHMHOPN/).
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Affiliation(s)
- Lorna Harper
- Dementia Research Centre, University College London Institute of Neurology, London, UK
| | - Femke Bouwman
- Alzheimer Centre, VU University Medical Centre, Amsterdam, The Netherlands
| | - Emma J Burton
- Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU Medical Center, MS Center, Amsterdam, The Netherlands.,Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK.,Department of Medical Physics & Biomedical Engineering, University College London Faculty of Engineering Sciences, London, UK
| | - Philip Scheltens
- Alzheimer Centre, VU University Medical Centre, Amsterdam, The Netherlands
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- Dementia Research Centre, University College London Institute of Neurology, London, UK
| | - Gerard R Ridgway
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK
| | - Jonathan M Schott
- Dementia Research Centre, University College London Institute of Neurology, London, UK
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35
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Mak E, Gabel S, Mirette H, Su L, Williams GB, Waldman A, Wells K, Ritchie K, Ritchie C, O’Brien J. Structural neuroimaging in preclinical dementia: From microstructural deficits and grey matter atrophy to macroscale connectomic changes. Ageing Res Rev 2017; 35:250-264. [PMID: 27777039 DOI: 10.1016/j.arr.2016.10.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 08/26/2016] [Accepted: 10/19/2016] [Indexed: 12/18/2022]
Abstract
The last decade has witnessed a proliferation of neuroimaging studies characterising brain changes associated with Alzheimer's disease (AD), where both widespread atrophy and 'signature' brain regions have been implicated. In parallel, a prolonged latency period has been established in AD, with abnormal cerebral changes beginning many years before symptom onset. This raises the possibility of early therapeutic intervention, even before symptoms, when treatments could have the greatest effect on disease-course modification. Two important prerequisites of this endeavour are (1) accurate characterisation or risk stratification and (2) monitoring of progression using neuroimaging outcomes as a surrogate biomarker in those without symptoms but who will develop AD, here referred to as preclinical AD. Structural neuroimaging modalities have been used to identify brain changes related to risk factors for AD, such as familial genetic mutations, risk genes (for example apolipoprotein epsilon-4 allele), and/or family history. In this review, we summarise structural imaging findings in preclinical AD. Overall, the literature suggests early vulnerability in characteristic regions, such as the medial temporal lobe structures and the precuneus, as well as white matter tracts in the fornix, cingulum and corpus callosum. We conclude that while structural markers are promising, more research and validation studies are needed before future secondary prevention trials can adopt structural imaging biomarkers as either stratification or surrogate biomarkers.
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36
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Drummond E, Wisniewski T. Alzheimer's disease: experimental models and reality. Acta Neuropathol 2017; 133:155-175. [PMID: 28025715 PMCID: PMC5253109 DOI: 10.1007/s00401-016-1662-x] [Citation(s) in RCA: 417] [Impact Index Per Article: 59.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 12/20/2016] [Accepted: 12/22/2016] [Indexed: 12/15/2022]
Abstract
Experimental models of Alzheimer's disease (AD) are critical to gaining a better understanding of pathogenesis and to assess the potential of novel therapeutic approaches. The most commonly used experimental animal models are transgenic mice that overexpress human genes associated with familial AD (FAD) that result in the formation of amyloid plaques. However, AD is defined by the presence and interplay of both amyloid plaques and neurofibrillary tangle pathology. The track record of success in AD clinical trials thus far has been very poor. In part, this high failure rate has been related to the premature translation of highly successful results in animal models that mirror only limited aspects of AD pathology to humans. A greater understanding of the strengths and weakness of each of the various models and the use of more than one model to evaluate potential therapies would help enhance the success of therapy translation from preclinical studies to patients. In this review, we summarize the pathological features and limitations of the major experimental models of AD, including transgenic mice, transgenic rats, various physiological models of sporadic AD and in vitro human cell culture models.
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Affiliation(s)
- Eleanor Drummond
- Center for Cognitive Neurology and Department of Neurology, NYU School of Medicine, Alexandria ERSP, 450 East 29th Street, New York, NY, 10016, USA
| | - Thomas Wisniewski
- Center for Cognitive Neurology and Departments of Neurology, Pathology and Psychiatry, NYU School of Medicine, Alexandria ERSP, 450 East 29th Street, New York, NY, 10016, USA.
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37
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Annus T, Wilson LR, Acosta-Cabronero J, Cardenas-Blanco A, Hong YT, Fryer TD, Coles JP, Menon DK, Zaman SH, Holland AJ, Nestor PJ. The Down syndrome brain in the presence and absence of fibrillar β-amyloidosis. Neurobiol Aging 2017; 53:11-19. [PMID: 28192686 PMCID: PMC5391869 DOI: 10.1016/j.neurobiolaging.2017.01.009] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 01/01/2017] [Accepted: 01/06/2017] [Indexed: 11/26/2022]
Abstract
People with Down syndrome (DS) have a neurodevelopmentally distinct brain and invariably developed amyloid neuropathology by age 50. This cross-sectional study aimed to provide a detailed account of DS brain morphology and the changes occuring with amyloid neuropathology. Forty-six adults with DS underwent structural and amyloid imaging—the latter using Pittsburgh compound B (PIB) to stratify the cohort into PIB-positive (n = 19) and PIB-negative (n = 27). Age-matched controls (n = 30) underwent structural imaging. Group differences in deep gray matter volumetry and cortical thickness were studied. PIB-negative people with DS have neurodevelopmentally atypical brain, characterized by disproportionately thicker frontal and occipitoparietal cortex and thinner motor cortex and temporal pole with larger putamina and smaller hippocampi than controls. In the presence of amyloid neuropathology, the DS brains demonstrated a strikingly similar pattern of posterior dominant cortical thinning and subcortical atrophy in the hippocampus, thalamus, and striatum, to that observed in non-DS Alzheimer's disease. Care must be taken to avoid underestimating amyloid-associated morphologic changes in DS due to disproportionate size of some subcortical structures and thickness of the cortex.
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Affiliation(s)
- Tiina Annus
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Douglas House, Cambridge, UK.
| | - Liam R Wilson
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Douglas House, Cambridge, UK
| | - Julio Acosta-Cabronero
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
| | | | - Young T Hong
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Tim D Fryer
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Jonathan P Coles
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - David K Menon
- Division of Anaesthesia, Department of Medicine, University of Cambridge, Cambridge, UK
| | - Shahid H Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Douglas House, Cambridge, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge, UK
| | - Anthony J Holland
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Douglas House, Cambridge, UK; Cambridgeshire and Peterborough NHS Foundation Trust, Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge, UK
| | - Peter J Nestor
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
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38
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Sánchez-Valle R, Monté GC, Sala-Llonch R, Bosch B, Fortea J, Lladó A, Antonell A, Balasa M, Bargalló N, Molinuevo JL. White Matter Abnormalities Track Disease Progression in PSEN1 Autosomal Dominant Alzheimer's Disease. J Alzheimers Dis 2016; 51:827-35. [PMID: 26923015 DOI: 10.3233/jad-150899] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PSEN1 mutations are the most frequent cause of autosomal dominant Alzheimer's disease (ADAD), and show nearly full penetrance. There is presently increasing interest in the study of biomarkers that track disease progression in order to test therapeutic interventions in ADAD. We used white mater (WM) volumetric characteristics and diffusion tensor imaging (DTI) metrics to investigate correlations with the normalized time to expected symptoms onset (relative age ratio) and group differences in a cohort of 36 subjects from PSEN1 ADAD families: 22 mutation carriers, 10 symptomatic (SMC) and 12 asymptomatic (AMC), and 14 non-carriers (NC). Subjects underwent a 3T MRI. WM morphometric data and DTI metrics were analyzed. We found that PSEN1 MC showed significant negative correlation between fractional anisotropy (FA) and the relative age ratio in the genus and body of corpus callosum and corona radiate (p < 0.05 Family-wise error correction (FWE) at cluster level) and positive correlation with mean diffusivity (MD), axial diffusivity (AxD), and radial diffusivity (RD) in the splenium of corpus callosum. SMC presented WM volume loss, reduced FA and increased MD, AxD, and RD in the anterior and posterior corona radiate, corpus callosum (p < 0.05 FWE) compared with NC. No significant differences were observed between AMC and NC in WM volume or DTI measures. These findings suggest that the integrity of the WM deteriorates linearly in PSEN1 ADAD from the early phases of the disease; thus DTI metrics might be useful to monitor the disease progression. However, the lack of significant alterations at the preclinical stages suggests that these indexes might not be good candidates for early markers of the disease.
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Affiliation(s)
- Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gemma C Monté
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Roser Sala-Llonch
- Research Group for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Norway
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de Sant Pau, Barcelona, Spain
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Anna Antonell
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Nuria Bargalló
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Radiology, Hospital Clínic, Barcelona, Spain
| | - José Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Barcelona, Spain.,Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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39
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Lam B, Khan A, Keith J, Rogaeva E, Bilbao J, St. George‐Hyslop P, Ghani M, Freedman M, Stuss DT, Chow T, Black SE, Masellis M. Characterizing familial corticobasal syndrome due to Alzheimer's disease pathology and
PSEN1
mutations. Alzheimers Dement 2016; 13:520-530. [DOI: 10.1016/j.jalz.2016.08.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 08/08/2016] [Accepted: 08/17/2016] [Indexed: 12/13/2022]
Affiliation(s)
- Benjamin Lam
- L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario 33
- Brain Sciences Research Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
| | - Aun Khan
- Ziauddin University Karachi Pakistan
| | - Julia Keith
- Department of Anatomical Pathology, Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario Canada
| | - Ekaterina Rogaeva
- Tanz Centre for Research in Neurodegenerative Disease Toronto Ontario Canada
| | - Juan Bilbao
- Department of Anatomical Pathology, Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario Canada
| | - Peter St. George‐Hyslop
- Tanz Centre for Research in Neurodegenerative Disease Toronto Ontario Canada
- Cambridge Institute for Medical Research, Department of Clinical Neurosciences University of Cambridge Cambridge UK
| | - Mahdi Ghani
- Tanz Centre for Research in Neurodegenerative Disease Toronto Ontario Canada
| | - Morris Freedman
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
- Sam and Ida Ross Memory Clinic Baycrest Toronto Ontario Canada
- Rotman Research Institute, Baycrest University of Toronto Toronto Ontario Canada
- Toronto Dementia Research Alliance Toronto Ontario Canada
| | - Donald T. Stuss
- Brain Sciences Research Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
- Rotman Research Institute, Baycrest University of Toronto Toronto Ontario Canada
- Department of Psychology University of Toronto Toronto Ontario Canada
- Ontario Brain Institute Toronto Ontario Canada
| | - Tiffany Chow
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
- Sam and Ida Ross Memory Clinic Baycrest Toronto Ontario Canada
- Rotman Research Institute, Baycrest University of Toronto Toronto Ontario Canada
| | - Sandra E. Black
- L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario 33
- Brain Sciences Research Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
- Rotman Research Institute, Baycrest University of Toronto Toronto Ontario Canada
- Toronto Dementia Research Alliance Toronto Ontario Canada
| | - Mario Masellis
- L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre University of Toronto Toronto Ontario 33
- Brain Sciences Research Program, Sunnybrook Research Institute University of Toronto Toronto Ontario Canada
- Division of Neurology, Department of Medicine University of Toronto Toronto Ontario Canada
- Toronto Dementia Research Alliance Toronto Ontario Canada
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40
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Leh SE, Kälin AM, Schroeder C, Park MTM, Chakravarty MM, Freund P, Gietl AF, Riese F, Kollias S, Hock C, Michels L. Volumetric and shape analysis of the thalamus and striatum in amnestic mild cognitive impairment. J Alzheimers Dis 2016; 49:237-49. [PMID: 26444755 DOI: 10.3233/jad-150080] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Alterations in brain structures, including progressive neurodegeneration, are a hallmark in patients with Alzheimer's disease (AD). However, pathological mechanisms, such as the accumulation of amyloid and the proliferation of tau, are thought to begin years, even decades, before the initial clinical manifestations of AD. In this study, we compare the brain anatomy of amnestic mild cognitive impairment patients (aMCI, n = 16) to healthy subjects (CS, n = 22) using cortical thickness, subcortical volume, and shape analysis, which we believe to be complimentary to volumetric measures. We were able to replicate "classical" cortical thickness alterations in aMCI in the hippocampus, amygdala, putamen, insula, and inferior temporal regions. Additionally, aMCI showed significant thalamic and striatal shape differences. We observed higher global amyloid deposition in aMCI, a significant correlation between striatal displacement and global amyloid, and an inverse correlation between executive function and right-hemispheric thalamic displacement. In contrast, no volumetric differences were detected in thalamic, striatal, and hippocampal regions. Our results provide new evidence for early subcortical neuroanatomical changes in patients with aMCI, which are linked to cognitive abilities and amyloid deposition. Hence, shape analysis may aid in the identification of structural biomarkers for identifying individuals at highest risk of conversion to AD.
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Affiliation(s)
- Sandra E Leh
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Andrea M Kälin
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Clemens Schroeder
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Min Tae M Park
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.,Departments of Psychiatry and Biomedical Engineering, McGill University, Montreal, Canada
| | - Patrick Freund
- Spinal Cord Injury Center, University Hospital Balgrist, Switzerland.,Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, University College London, London, UK.,Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, UK.,Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Anton F Gietl
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Florian Riese
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Spyros Kollias
- Institute of Neuroradiology, University of Zurich, Switzerland
| | - Christoph Hock
- Division of Psychiatry Research and Psychogeriatric Medicine, University of Zurich, Switzerland
| | - Lars Michels
- Institute of Neuroradiology, University of Zurich, Switzerland
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41
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Chiang HS, Mudar RA, Pudhiyidath A, Spence JS, Womack KB, Cullum CM, Tanner JA, Eroh J, Kraut MA, Hart J. Altered Neural Activity during Semantic Object Memory Retrieval in Amnestic Mild Cognitive Impairment as Measured by Event-Related Potentials. J Alzheimers Dis 2016; 46:703-17. [PMID: 25835419 DOI: 10.3233/jad-142781] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Deficits in semantic memory in individuals with amnestic mild cognitive impairment (aMCI) have been previously reported, but the underlying neurobiological mechanisms remain to be clarified. We examined event-related potentials (ERPs) associated with semantic memory retrieval in 16 individuals with aMCI as compared to 17 normal controls using the Semantic Object Retrieval Task (EEG SORT). In this task, subjects judged whether pairs of words (object features) elicited retrieval of an object (retrieval trials) or not (non-retrieval trials). Behavioral findings revealed that aMCI subjects had lower accuracy scores and marginally longer reaction time compared to controls. We used a multivariate analytical technique (STAT-PCA) to investigate similarities and differences in ERPs between aMCI and control groups. STAT-PCA revealed a left fronto-temporal component starting at around 750 ms post-stimulus in both groups. However, unlike controls, aMCI subjects showed an increase in the frontal-parietal scalp potential that distinguished retrieval from non-retrieval trials between 950 and 1050 ms post-stimulus negatively correlated with the performance on the logical memory subtest of the Wechsler Memory Scale-III. Thus, individuals with aMCI were not only impaired in their behavioral performance on SORT relative to controls, but also displayed alteration in the corresponding ERPs. The altered neural activity in aMCI compared to controls suggests a more sustained and effortful search during object memory retrieval, which may be a potential marker indicating disease processes at the pre-dementia stage.
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Affiliation(s)
- Hsueh-Sheng Chiang
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA.,School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Raksha A Mudar
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA.,School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.,Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Athula Pudhiyidath
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Jeffrey S Spence
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA
| | - Kyle B Womack
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA.,Department of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - C Munro Cullum
- Department of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeremy A Tanner
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Justin Eroh
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA.,School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Michael A Kraut
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John Hart
- Center for BrainHealth, The University of Texas at Dallas, Dallas, TX, USA.,School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.,Department of Neurology and Neurotherapeutics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.,Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA
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42
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Huang CC, Liu ME, Kao HW, Chou KH, Yang AC, Wang YH, Chen TR, Tsai SJ, Lin CP. Effect of Alzheimer's Disease Risk Variant rs3824968 at SORL1 on Regional Gray Matter Volume and Age-Related Interaction in Adult Lifespan. Sci Rep 2016; 6:23362. [PMID: 26996954 PMCID: PMC4800313 DOI: 10.1038/srep23362] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 03/01/2016] [Indexed: 11/09/2022] Open
Abstract
Sortilin receptor 1 (SORL1) is involved in cellular trafficking of amyloid precursor protein and plays an essential role in amyloid-beta peptide generation in Alzheimer disease (AD). The major A allele in a SORL1 single nucleotide polymorphism (SNP), rs3824968, is associated with an increased AD risk. However, the role of SORL1 rs3824968 in the normal ageing process has rarely been examined in relation to brain structural morphology. This study investigated the association between SORL1 rs3824968 and grey matter (GM) volume in a nondemented Chinese population of 318 adults within a wide age range (21-92 years). Through voxel-based morphometry, we found that participants carrying SORL1 allele A exhibited significantly smaller GM volumes in the right posterior cingulate, left middle occipital, medial frontal, and superior temporal gyri. Considerable interaction between age and SORL1 suggested a detrimental and accelerated ageing effect of allele A on putamen. These findings provide evidence that SORL1 rs3824968 modulates regional GM volume and is associated with brain trajectory during the adult lifespan.
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Affiliation(s)
- Chu-Chung Huang
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Mu-En Liu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Hung-Wen Kao
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Kun-Hsien Chou
- Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Albert C Yang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan.,Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chungli, Taiwan
| | - Ying-Hsiu Wang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Tong-Ru Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
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43
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Roher AE, Maarouf CL, Kokjohn TA. Familial Presenilin Mutations and Sporadic Alzheimer’s Disease Pathology: Is the Assumption of Biochemical Equivalence Justified? J Alzheimers Dis 2016; 50:645-58. [DOI: 10.3233/jad-150757] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Alex E. Roher
- Longtine Center for Neurodegenerative Biochemistry, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Chera L. Maarouf
- Longtine Center for Neurodegenerative Biochemistry, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Tyler A. Kokjohn
- Department of Microbiology, Midwestern University School of Medicine, Glendale, AZ, USA
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44
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Examining the potential clinical value of curcumin in the prevention and diagnosis of Alzheimer’s disease. Br J Nutr 2015; 115:449-65. [DOI: 10.1017/s0007114515004687] [Citation(s) in RCA: 157] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractCurcumin derived from turmeric is well documented for its anti-carcinogenic, antioxidant and anti-inflammatory properties. Recent studies show that curcumin also possesses neuroprotective and cognitive-enhancing properties that may help delay or prevent neurodegenerative diseases, including Alzheimer’s disease (AD). Currently, clinical diagnosis of AD is onerous, and it is primarily based on the exclusion of other causes of dementia. In addition, phase III clinical trials of potential treatments have mostly failed, leaving disease-modifying interventions elusive. AD can be characterised neuropathologically by the deposition of extracellular β amyloid (Aβ) plaques and intracellular accumulation of tau-containing neurofibrillary tangles. Disruptions in Aβ metabolism/clearance contribute to AD pathogenesis. In vitro studies have shown that Aβ metabolism is altered by curcumin, and animal studies report that curcumin may influence brain function and the development of dementia, because of its antioxidant and anti-inflammatory properties, as well as its ability to influence Aβ metabolism. However, clinical studies of curcumin have revealed limited effects to date, most likely because of curcumin’s relatively low solubility and bioavailability, and because of selection of cohorts with diagnosed AD, in whom there is already major neuropathology. However, the fresh approach of targeting early AD pathology (by treating healthy, pre-clinical and mild cognitive impairment-stage cohorts) combined with new curcumin formulations that increase bioavailability is renewing optimism concerning curcumin-based therapy. The aim of this paper is to review the current evidence supporting an association between curcumin and modulation of AD pathology, including in vitro and in vivo studies. We also review the use of curcumin in emerging retinal imaging technology, as a fluorochrome for AD diagnostics.
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45
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Promteangtrong C, Kolber M, Ramchandra P, Moghbel M, Houshmand S, Schöll M, Bai H, Werner TJ, Alavi A, Buchpiguel C. Multimodality Imaging Approach in Alzheimer disease. Part I: Structural MRI, Functional MRI, Diffusion Tensor Imaging and Magnetization Transfer Imaging. Dement Neuropsychol 2015; 9:318-329. [PMID: 29213981 PMCID: PMC5619314 DOI: 10.1590/1980-57642015dn94000318] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
The authors make a complete review of the potential clinical applications of
traditional and novel magnetic resonance imaging (MRI) techniques in the
evaluation of patients with Alzheimer's disease, including structural MRI,
functional MRI, diffusion tension imaging and magnetization transfer
imaging.
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Affiliation(s)
| | - Marcus Kolber
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Priya Ramchandra
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Mateen Moghbel
- Stanford University School of Medicine, Stanford, California
| | - Sina Houshmand
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Michael Schöll
- Karolinska Institutet, Alzheimer Neurobiology Center, Stockholm, Sweden
| | - Halbert Bai
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Thomas J Werner
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Carlos Buchpiguel
- Nuclear Medicine Service, Instituto do Cancer do Estado de São Paulo, University of São Paulo, São Paulo, Brazil.,Nuclear Medicine Center, Radiology Institute, University of São Paulo General Hospital , São Paulo, Brazil
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46
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Koster R, Guitart-Masip M, Dolan RJ, Düzel E. Basal Ganglia Activity Mirrors a Benefit of Action and Reward on Long-Lasting Event Memory. Cereb Cortex 2015; 25:4908-17. [PMID: 26420783 PMCID: PMC4635928 DOI: 10.1093/cercor/bhv216] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
The expectation of reward is known to enhance a consolidation of long-term memory for events. We tested whether this effect is driven by positive valence or action requirements tied to expected reward. Using a functional magnetic resonance imaging (fMRI) paradigm in young adults, novel images predicted gain or loss outcomes, which in turn were either obtained or avoided by action or inaction. After 24 h, memory for these images reflected a benefit of action as well as a congruence of action requirements and valence, namely, action for reward and inaction for avoidance. fMRI responses in the hippocampus, a region known to be critical for long-term memory function, reflected the anticipation of inaction. In contrast, activity in the putamen mirrored the congruence of action requirement and valence, whereas other basal ganglia regions mirrored overall action benefits on long-lasting memory. The findings indicate a novel type of functional division between the hippocampus and the basal ganglia in the motivational regulation of long-term memory consolidation, which favors remembering events that are worth acting for.
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Affiliation(s)
- Raphael Koster
- Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, UK
| | - Marc Guitart-Masip
- Aging Research Centre, Karolinska Institute, SE-11330 Stockholm, Sweden Max Planck Centre for Computational Psychiatry and Ageing, University College London, London, UK
| | - Raymond J Dolan
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, UK Max Planck Centre for Computational Psychiatry and Ageing, University College London, London, UK
| | - Emrah Düzel
- Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK Otto von Guericke University Magdeburg, Institute of Cognitive Neurology and Dementia Research, D-39120 Magdeburg, Germany German Center for Neurodegenerative Diseases, D-39120 Magdeburg, Germany
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47
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Hamilton LK, Dufresne M, Joppé SE, Petryszyn S, Aumont A, Calon F, Barnabé-Heider F, Furtos A, Parent M, Chaurand P, Fernandes KJL. Aberrant Lipid Metabolism in the Forebrain Niche Suppresses Adult Neural Stem Cell Proliferation in an Animal Model of Alzheimer's Disease. Cell Stem Cell 2015; 17:397-411. [PMID: 26321199 DOI: 10.1016/j.stem.2015.08.001] [Citation(s) in RCA: 161] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2014] [Revised: 06/09/2015] [Accepted: 08/02/2015] [Indexed: 11/24/2022]
Abstract
Lipid metabolism is fundamental for brain development and function, but its roles in normal and pathological neural stem cell (NSC) regulation remain largely unexplored. Here, we uncover a fatty acid-mediated mechanism suppressing endogenous NSC activity in Alzheimer's disease (AD). We found that postmortem AD brains and triple-transgenic Alzheimer's disease (3xTg-AD) mice accumulate neutral lipids within ependymal cells, the main support cell of the forebrain NSC niche. Mass spectrometry and microarray analyses identified these lipids as oleic acid-enriched triglycerides that originate from niche-derived rather than peripheral lipid metabolism defects. In wild-type mice, locally increasing oleic acid was sufficient to recapitulate the AD-associated ependymal triglyceride phenotype and inhibit NSC proliferation. Moreover, inhibiting the rate-limiting enzyme of oleic acid synthesis rescued proliferative defects in both adult neurogenic niches of 3xTg-AD mice. These studies support a pathogenic mechanism whereby AD-induced perturbation of niche fatty acid metabolism suppresses the homeostatic and regenerative functions of NSCs.
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Affiliation(s)
- Laura K Hamilton
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Martin Dufresne
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Sandra E Joppé
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Sarah Petryszyn
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Anne Aumont
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada
| | - Frédéric Calon
- Faculty of Pharmacy, Université Laval, Quebec City, QC G1V 0A6, Canada; CHU-Q Research Center, Quebec City, QC G1V 4G2, Canada
| | | | - Alexandra Furtos
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Martin Parent
- Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Quebec City, QC G1J 2G3, Canada
| | - Pierre Chaurand
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montreal, QC H3C 3J7, Canada
| | - Karl J L Fernandes
- Research Center of the University of Montreal Hospital (CRCHUM), Montreal, QC H2X 0A9, Canada; CNS Research Group (GRSNC), Montreal, QC H3T 1J4, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montreal, QC H3T 1J4, Canada.
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48
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Li X, Westman E, Ståhlbom AK, Thordardottir S, Almkvist O, Blennow K, Wahlund LO, Graff C. White matter changes in familial Alzheimer's disease. J Intern Med 2015; 278:211-8. [PMID: 25639959 DOI: 10.1111/joim.12352] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Familial Alzheimer's disease (FAD) resulting from gene mutations in PSEN1, PSEN2 and APP is associated with changes in the brain. OBJECTIVE The aim of this study was to investigate changes in grey matter (GM), white matter (WM) and the cerebrospinal fluid (CSF) in FAD. SUBJECTS Ten mutation carriers (MCs) with three different mutations in PSEN1 and APP and 20 noncarriers (NCs) were included in the study. Three MCs were symptomatic and seven were presymptomatic (pre-MCs). METHODS Whole-brain GM volume as well as fractional anisotropy (FA) and mean diffusivity (MD) using voxel-based morphometry and tract-based spatial statistics analyses, respectively, were compared between MCs and NCs. FA and MD maps were obtained from diffusion tensor imaging. RESULTS A significant increase in MD was found in the left inferior longitudinal fasciculus, cingulum and bilateral superior longitudinal fasciculus in pre-MCs compared with NCs. After inclusion of the three symptomatic MCs in the analysis, the regions became wider. The mean MD of these regions showed significant negative correlation with the CSF level of Aβ42, and positive correlations with P-tau181p and T-tau. No differences were observed in GM volume and FA between the groups. CONCLUSIONS The results of this study suggest that FAD gene mutations affect WM diffusivity before changes in GM volume can be detected. The WM changes observed were related to changes in the CSF, with similar patterns previously observed in sporadic Alzheimer's disease.
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Affiliation(s)
- X Li
- Karolinska Institutet, Department of Neurobiology, Care Science and Society (NVS), Division of Clinical Geriatrics, Stockholm, Sweden
| | - E Westman
- Karolinska Institutet, Department of Neurobiology, Care Science and Society (NVS), Division of Clinical Geriatrics, Stockholm, Sweden
| | - A K Ståhlbom
- Karolinska Institutet, Department of NVS, Division of Neurogeriatrics, Center for Alzheimer Disease Research, Huddinge, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - S Thordardottir
- Karolinska Institutet, Department of NVS, Division of Neurogeriatrics, Center for Alzheimer Disease Research, Huddinge, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - O Almkvist
- Karolinska Institutet, Department of Neurobiology, Care Science and Society (NVS), Division of Clinical Geriatrics, Stockholm, Sweden.,Stockholm University, Department of Psychology, Stockholm, Sweden
| | - K Blennow
- Institute of Clinical Neuroscience, Sahlgrenska University Hospital, Mölndal, Sweden
| | - L-O Wahlund
- Karolinska Institutet, Department of Neurobiology, Care Science and Society (NVS), Division of Clinical Geriatrics, Stockholm, Sweden
| | - C Graff
- Karolinska Institutet, Department of NVS, Division of Neurogeriatrics, Center for Alzheimer Disease Research, Huddinge, Stockholm, Sweden.,Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
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49
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Camarda C, Torelli P, Camarda R, Battaglini I, Gagliardo C, Monastero R. Isolated, subtle, neurological abnormalities in neurologically and cognitively healthy aging subjects. J Neurol 2015; 262:1328-39. [PMID: 25825125 DOI: 10.1007/s00415-015-7716-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Revised: 03/12/2015] [Accepted: 03/16/2015] [Indexed: 10/23/2022]
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50
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Nowrangi MA, Rosenberg PB. The fornix in mild cognitive impairment and Alzheimer's disease. Front Aging Neurosci 2015; 7:1. [PMID: 25653617 PMCID: PMC4301006 DOI: 10.3389/fnagi.2015.00001] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 01/02/2015] [Indexed: 01/15/2023] Open
Abstract
The fornix is an integral white matter bundle located in the medial diencephalon and is part of the limbic structures. It serves a vital role in memory functions and as such has become the subject of recent research emphasis in Alzheimer's disease (AD) and mild cognitive impairment (MCI). As the characteristic pathological processes of AD progress, structural and functional changes to the medial temporal lobes and other regions become evident years before clinical symptoms are present. Though gray matter atrophy has been the most studied, degradation of white matter structures especially the fornix may precede these and has become detectable with use of diffusion tensor imaging (DTI) and other complimentary imaging techniques. Recent research utilizing DTI measurement of the fornix has shown good discriminability of diagnostic groups, particularly early and preclinical, as well as predictive power for incident MCI and AD. Stimulating and modulating fornix function by the way of DBS has been an exciting new area as pharmacological therapeutics has been slow to develop.
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Affiliation(s)
- Milap A Nowrangi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, MD , USA
| | - Paul B Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine , Baltimore, MD , USA
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