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Reiman EM, Pruzin JJ, Rios-Romenets S, Brown C, Giraldo M, Acosta-Baena N, Tobon C, Hu N, Chen Y, Ghisays V, Enos J, Goradia DD, Lee W, Luo J, Malek-Ahmadi M, Protas H, Thomas RG, Chen K, Su Y, Boker C, Mastroeni D, Alvarez S, Quiroz YT, Langbaum JB, Sink KM, Lopera F, Tariot PN. A public resource of baseline data from the Alzheimer's Prevention Initiative Autosomal-Dominant Alzheimer's Disease Trial. Alzheimers Dement 2023; 19:1938-1946. [PMID: 36373344 PMCID: PMC10262848 DOI: 10.1002/alz.12843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 09/01/2022] [Accepted: 10/05/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION The Alzheimer's Prevention Initiative Autosomal-Dominant Alzheimer's Disease (API ADAD) Trial evaluated the anti-oligomeric amyloid beta (Aβ) antibody therapy crenezumab in cognitively unimpaired members of the Colombian presenilin 1 (PSEN1) E280A kindred. We report availability, methods employed to protect confidentiality and anonymity of participants, and process for requesting and accessing baseline data. METHODS We developed mechanisms to share baseline data from the API ADAD Trial in consultation with experts and other groups sharing data from Alzheimer's disease (AD) prevention trials, balancing the need to protect anonymity and trial integrity with making data broadly available to accelerate progress in the field. We pressure-tested deliberate and inadvertent potential threats under specific assumptions, employed a system to suppress or mask both direct and indirect identifying variables, limited and firewalled data managers, and put forth specific principles requisite to receive data. RESULTS Baseline demographic, PSEN1 E280A and apolipoprotein E genotypes, florbetapir and fluorodeoxyglucose positron emission tomography, magnetic resonance imaging, clinical, and cognitive data can now be requested by interested researchers. DISCUSSION Baseline data are publicly available; treatment data and biological samples, including baseline and treatment-related blood-based biomarker data will become available in accordance with our original trial agreement and subsequently developed Collaboration for Alzheimer's Prevention principles. Sharing of these data will allow exploration of important questions including the differential effects of initiating an investigational AD prevention therapy both before as well as after measurable Aβ plaque deposition.
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Affiliation(s)
- Eric M. Reiman
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
| | - Jeremy J. Pruzin
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
| | | | - Chris Brown
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | - Margarita Giraldo
- Grupo de Neurociencias de la Universidad de Antioquia, Medellin, Colombia
| | | | - Carlos Tobon
- Grupo de Neurociencias de la Universidad de Antioquia, Medellin, Colombia
| | - Nan Hu
- Genentech Inc., South San Francisco, CA, USA
| | | | | | | | | | - Wendy Lee
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | - Ji Luo
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | | | | | | | - Kewei Chen
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | - Yi Su
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
| | | | - Diego Mastroeni
- ASU-Banner Neurodegenerative Research Center, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | | | - Yakeel T. Quiroz
- Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Jessica B. Langbaum
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
| | | | - Francisco Lopera
- Grupo de Neurociencias de la Universidad de Antioquia, Medellin, Colombia
| | - Pierre N. Tariot
- Banner Alzheimer’s Institute, Phoenix, AZ, USA
- University of Arizona College of Medicine, Phoenix, AZ, USA
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Huang YM, Ma YH, Gao PY, Wang ZB, Huang LY, Hou JH, Tan L, Yu JT. Plasma β 2-microglobulin and cerebrospinal fluid biomarkers of Alzheimer's disease pathology in cognitively intact older adults: the CABLE study. Alzheimers Res Ther 2023; 15:69. [PMID: 37005674 PMCID: PMC10067214 DOI: 10.1186/s13195-023-01217-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 03/21/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND Previous studies have suggested a correlation between elevated levels of β2-microglobulin (B2M) and cognitive impairment. However, the existing evidence is insufficient to establish a conclusive relationship. This study aims to analyze the link of plasma B2M to cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers and cognition. METHODS To track the dynamics of plasma B2M in preclinical AD, 846 cognitively healthy individuals in the Chinese Alzheimer's Biomarker and LifestylE (CABLE) cohort were divided into four groups (suspected non-AD pathology [SNAP], 2, 1, 0) according to the NIA-AA criteria. Multiple linear regression models were employed to examine the plasma B2M's relationship with cognitive and CSF AD biomarkers. Causal mediation analysis was conducted through 10,000 bootstrapped iterations to explore the mediating effect of AD pathology on cognition. RESULTS We found that the levels of plasma B2M were increased in stages 1 (P = 0.0007) and 2 (P < 0.0001), in contrast to stage 0. In total participants, higher levels of B2M were associated with worse cognitive performance (P = 0.006 for MMSE; P = 0.012 for MoCA). Moreover, a higher level of B2M was associated with decreases in Aβ1-42 (P < 0.001) and Aβ1-42/Aβ1-40 (P = 0.015) as well as increases in T-tau/Aβ1-42 (P < 0.001) and P-tau/Aβ1-42 (P < 0.001). The subgroup analysis found B2M correlated with Aβ1-42 in non-APOE ε4 individuals (P < 0.001) but not in APOE ε4 carriers. Additionally, the link between B2M and cognition was partially mediated by Aβ pathology (percentage: 8.6 to 19.3%), whereas tau pathology did not mediate this effect. CONCLUSIONS This study demonstrated the association of plasma B2M with CSF AD biomarkers as well as a possible important role of Aβ pathology in the association between B2M and cognitive impairment, particularly in cognitively normal individuals. The results indicated that B2M could be a potential biomarker for preclinical AD and might have varied functions throughout various stages of preclinical AD progression.
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Affiliation(s)
- Yi-Ming Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Liang-Yu Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jia-Hui Hou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- National Center for Neurological Diseases in China, Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China.
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3
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Levin J, Vöglein J, Quiroz YT, Bateman RJ, Ghisays V, Lopera F, McDade E, Reiman E, Tariot PN, Morris JC. Testing the amyloid cascade hypothesis: Prevention trials in autosomal dominant Alzheimer disease. Alzheimers Dement 2022; 18:2687-2698. [PMID: 35212149 PMCID: PMC9399299 DOI: 10.1002/alz.12624] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 01/31/2023]
Abstract
OBJECTIVE The amyloid cascade hypothesis of Alzheimer disease (AD) has been increasingly challenged. Here, we aim to refocus the amyloid cascade hypothesis on its original premise that the accumulation of amyloid beta (Aβ) peptide is the primary and earliest event in AD pathogenesis as based on current evidence, initiating several pathological events and ultimately leading to AD dementia. BACKGROUND An ongoing debate about the validity of the amyloid cascade hypothesis for AD has been triggered by clinical trials with investigational disease-modifying drugs targeting Aβ that have not demonstrated consistent clinically meaningful benefits. UPDATED HYPOTHESIS It is an open question if monotherapy targeting Aβ pathology could be markedly beneficial at a stage when the brain has been irreversibly damaged by a cascade of pathological changes. Interventions in cognitively unimpaired individuals at risk for dementia, during amyloid-only and pre-amyloid stages, are more appropriate for proving or refuting the amyloid hypothesis. Our updated hypothesis states that anti-Aβ investigational therapies are likely to be most efficacious when initiated in the preclinical (asymptomatic) stages of AD and specifically when the disease is driven primarily by amyloid pathology. Given the young age at symptom onset and the deterministic nature of the mutations, autosomal dominant AD (ADAD) mutation carriers represent the ideal population to evaluate the efficacy of putative disease-modifying Aβ therapies. MAJOR CHALLENGES FOR THE HYPOTHESIS Key challenges of the amyloid hypothesis include the recognition that disrupted Aβ homeostasis alone is insufficient to produce the AD pathophysiologic process, poor correlation of Aβ with cognitive impairment, and inconclusive data regarding clinical efficacy of therapies targeting Aβ. Challenges of conducting ADAD research include the rarity of the disease and uncertainty of the generalizability of ADAD findings for the far more common "sporadic" late-onset AD. LINKAGE TO OTHER MAJOR THEORIES The amyloid cascade hypothesis, modified here to pertain to the preclinical stage of AD, still needs to be integrated with the development and effects of tauopathy and other co-pathologies, including neuroinflammation, vascular insults, synucleinopathy, and many others.
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Affiliation(s)
- Johannes Levin
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81541 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) site Munich, Feodor-Lynen-Str. 17, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jonathan Vöglein
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81541 Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) site Munich, Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Yakeel T. Quiroz
- Harvard Medical School and Massachusetts General Hospital, 39 1 Avenue, Suite 101, Charlestown, MA 02129, USA
- Grupo de Neurociencias, Universidad de Antioquia, Antioquia, Colombia
| | - Randall J. Bateman
- Washington University School of Medicine, 660 South Euclid, Saint Louis, MO 63110, USA
| | - Valentina Ghisays
- Banner Alzheimer’s Institute, 901 E Willetta St, Phoenix, AZ 85006, USA
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Antioquia, Colombia
| | - Eric McDade
- Washington University School of Medicine, 660 South Euclid, Saint Louis, MO 63110, USA
| | - Eric Reiman
- Banner Alzheimer’s Institute, 901 E Willetta St, Phoenix, AZ 85006, USA
| | - Pierre N. Tariot
- Banner Alzheimer’s Institute, 901 E Willetta St, Phoenix, AZ 85006, USA
| | - John C. Morris
- Washington University School of Medicine, 660 South Euclid, Saint Louis, MO 63110, USA
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Preclinical Alzheimer's dementia: a useful concept or another dead end? Eur J Ageing 2022; 19:997-1004. [PMID: 36692779 PMCID: PMC9729660 DOI: 10.1007/s10433-022-00735-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2022] [Indexed: 02/01/2023] Open
Abstract
The term, preclinical dementia, was introduced in 2011 when new guidelines for the diagnosis of Alzheimer's dementia (AD) were published. In the intervening 11 years, many studies have appeared in the literature focusing on this early stage. A search conducted in English on Google Scholar on 06.23.2022 using the term "preclinical (Alzheimer's) dementia" produced 121, 000 results. However, the label is arguably more relevant for research purposes, and it is possible that the knowledge gained may lead to a cure for AD. The term has not been widely adopted by clinical practitioners. Furthermore, it is still not possible to predict who, after a diagnosis of preclinical dementia, will go on to develop AD, and if so, what the risk factors (modifiable and non-modifiable) might be. This Review/Theoretical article will focus on preclinical Alzheimer's dementia (hereafter called preclinical AD). We outline how preclinical AD is currently defined, explain how it is diagnosed and explore why this is problematic at a number of different levels. We also ask the question: Is the concept 'preclinical AD' useful in clinical practice or is it just another dead end in the Holy Grail to find a treatment for AD? Specific recommendations for research and clinical practice are provided.
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Crotty GF, Keavney JL, Alcalay RN, Marek K, Marshall GA, Rosas HD, Schwarzschild MA. Planning for Prevention of Parkinson Disease: Now Is the Time. Neurology 2022; 99:1-9. [PMID: 36219787 PMCID: PMC10519135 DOI: 10.1212/wnl.0000000000200789] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 04/11/2022] [Indexed: 11/15/2022] Open
Abstract
Parkinson disease (PD) is a chronic progressive neurodegenerative disease with increasing worldwide prevalence. Despite many trials of neuroprotective therapies in manifest PD, no disease-modifying therapy has been established. Over the past several decades, a series of breakthroughs have identified discrete populations at substantially increased risk of developing PD. Based on this knowledge, now is the time to design and implement PD prevention trials. This endeavor builds on experience gained from early prevention trials in Alzheimer disease and Huntington disease. This article first reviews prevention trial precedents in these other neurodegenerative diseases before focusing on the critical design elements for PD prevention trials, including whom to enroll for these trials, what therapeutics to test, and how to measure outcomes in prevention trials. Our perspective reflects progress and remaining challenges that motivated a 2021 conference, "Planning for Prevention of Parkinson: A Trial Design Symposium and Workshop."
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Affiliation(s)
- Grace F Crotty
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
| | - Jessi L Keavney
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Roy N Alcalay
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kenneth Marek
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Gad A Marshall
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - H Diana Rosas
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Michael A Schwarzschild
- From the Department of Neurology (G.F.C., M.A.S.), Massachusetts General Hospital, Boston, MA; Parkinson's Foundation Research Advocates Program (J.L.K.), Parkinson's Foundation, Miami, FL/New York, NY; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York, NY; Institute for Neurodegenerative Disorders (K.M.), New Haven, CT; Center for Alzheimer Research and Treatment (G.A.M.) and Center for Neuroimaging of Aging and Neurodegenerative Diseases (H.D.R.), Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Cerebrospinal Fluid Neurofilament Light Predicts Risk of Dementia Onset in Cognitively Healthy Individuals and Rate of Cognitive Decline in Mild Cognitive Impairment: A Prospective Longitudinal Study. Biomedicines 2022; 10:biomedicines10051045. [PMID: 35625782 PMCID: PMC9138299 DOI: 10.3390/biomedicines10051045] [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: 03/11/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 12/10/2022] Open
Abstract
Background: Biomarkers that are indicative of early biochemical aberrations are needed to predict the risk of dementia onset and progression in Alzheimer’s disease (AD). We assessed the utility of cerebrospinal fluid (CSF) neurofilament light (NfL) chain for screening preclinical AD, predicting dementia onset among cognitively healthy (CH) individuals, and the rate of cognitive decline amongst individuals with mild cognitive impairment (MCI). Methods: Neurofilament light levels were measured in CSF samples of participants (CH, n = 154 and MCI, n = 32) from the Australian Imaging, Biomarkers and Lifestyle study of ageing (AIBL). Cases of preclinical AD were identified using biomarker-guided classification (CH, amyloid-β [Aβ]+, phosphorylated-tau [P-tau]+ and total-tau [T-tau]±; A+T+/N±). The prediction of dementia onset (questionable dementia) among CH participants was assessed as the risk of conversion from Clinical Dementia Rating [CDR = 0] to CDR ≥ 0.5 over 6 years. Mixed linear models were used to assess the utility of baseline CSF NfL levels for predicting the rate of cognitive decline among participants with MCI over 4.5 years. Results: Neurofilament light levels were significantly higher in preclinical AD participants (CH, A+T+/N±) as compared to A-T-N- (p < 0.001). Baseline levels of CSF NfL were higher in CH participants who converted to CDR ≥ 0.5 over 6 years (p = 0.045) and the risk of conversion to CDR ≥ 0.5 was predicted (hazard ratio [HR] 1.60, CI 1.03−2.48, p = 0.038). CH participants with CSF NfL > cut-off were at a higher risk of developing dementia (HR 4.77, CI 1.31−17.29, p = 0.018). Participants with MCI and with higher baseline levels of CSF NfL (>median) had a higher rate of decline in cognition over 4.5 years. Conclusion: An assessment of CSF NfL levels can help to predict dementia onset among CH vulnerable individuals and cognitive decline among those with MCI.
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Jansen WJ, Janssen O, Tijms BM, Vos SJB, Ossenkoppele R, Visser PJ, Aarsland D, Alcolea D, Altomare D, von Arnim C, Baiardi S, Baldeiras I, Barthel H, Bateman RJ, Van Berckel B, Binette AP, Blennow K, Boada M, Boecker H, Bottlaender M, den Braber A, Brooks DJ, Van Buchem MA, Camus V, Carill JM, Cerman J, Chen K, Chételat G, Chipi E, Cohen AD, Daniels A, Delarue M, Didic M, Drzezga A, Dubois B, Eckerström M, Ekblad LL, Engelborghs S, Epelbaum S, Fagan AM, Fan Y, Fladby T, Fleisher AS, Van der Flier WM, Förster S, Fortea J, Frederiksen KS, Freund-Levi Y, Frings L, Frisoni GB, Fröhlich L, Gabryelewicz T, Gertz HJ, Gill KD, Gkatzima O, Gómez-Tortosa E, Grimmer T, Guedj E, Habeck CG, Hampel H, Handels R, Hansson O, Hausner L, Hellwig S, Heneka MT, Herukka SK, Hildebrandt H, Hodges J, Hort J, Huang CC, Iriondo AJ, Itoh Y, Ivanoiu A, Jagust WJ, Jessen F, Johannsen P, Johnson KA, Kandimalla R, Kapaki EN, Kern S, Kilander L, Klimkowicz-Mrowiec A, Klunk WE, Koglin N, Kornhuber J, Kramberger MG, Kuo HC, Van Laere K, Landau SM, Landeau B, Lee DY, de Leon M, Leyton CE, Lin KJ, Lleó A, Löwenmark M, Madsen K, Maier W, Marcusson J, Marquié M, Martinez-Lage P, Maserejian N, Mattsson N, de Mendonça A, Meyer PT, Miller BL, Minatani S, Mintun MA, Mok VCT, Molinuevo JL, Morbelli SD, Morris JC, Mroczko B, Na DL, Newberg A, Nobili F, Nordberg A, Olde Rikkert MGM, de Oliveira CR, Olivieri P, Orellana A, Paraskevas G, Parchi P, Pardini M, Parnetti L, Peters O, Poirier J, Popp J, Prabhakar S, Rabinovici GD, Ramakers IH, Rami L, Reiman EM, Rinne JO, Rodrigue KM, Rodríguez-Rodriguez E, Roe CM, Rosa-Neto P, Rosen HJ, Rot U, Rowe CC, Rüther E, Ruiz A, Sabri O, Sakhardande J, Sánchez-Juan P, Sando SB, Santana I, Sarazin M, Scheltens P, Schröder J, Selnes P, Seo SW, Silva D, Skoog I, Snyder PJ, Soininen H, Sollberger M, Sperling RA, Spiru L, Stern Y, Stomrud E, Takeda A, Teichmann M, Teunissen CE, Thompson LI, Tomassen J, Tsolaki M, Vandenberghe R, Verbeek MM, Verhey FRJ, Villemagne V, Villeneuve S, Vogelgsang J, Waldemar G, Wallin A, Wallin ÅK, Wiltfang J, Wolk DA, Yen TC, Zboch M, Zetterberg H. Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum. JAMA Neurol 2022; 79:228-243. [PMID: 35099509 DOI: 10.1001/jamaneurol.2021.5216] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design. OBJECTIVE To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria. EXPOSURES Alzheimer disease biomarkers detected on PET or in CSF. MAIN OUTCOMES AND MEASURES Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations. RESULTS Among the 19 097 participants (mean [SD] age, 69.1 [9.8] years; 10 148 women [53.1%]) included, 10 139 (53.1%) underwent an amyloid PET scan and 8958 (46.9%) had an amyloid CSF measurement. Using cohort-provided cutoffs, amyloid abnormality prevalences were similar to 2015 estimates for individuals without dementia and were similar across PET- and CSF-based estimates (24%; 95% CI, 21%-28%) in participants with normal cognition, 27% (95% CI, 21%-33%) in participants with subjective cognitive decline, and 51% (95% CI, 46%-56%) in participants with mild cognitive impairment, whereas for clinical AD dementia the estimates were higher for PET than CSF (87% vs 79%; mean difference, 8%; 95% CI, 0%-16%; P = .04). Gaussian mixture modeling-based cutoffs for amyloid measures on PET scans were similar to cohort-provided cutoffs and were not adjusted. Adjusted CSF cutoffs resulted in a 10% higher amyloid abnormality prevalence than PET-based estimates in persons with normal cognition (mean difference, 9%; 95% CI, 3%-15%; P = .004), subjective cognitive decline (9%; 95% CI, 3%-15%; P = .005), and mild cognitive impairment (10%; 95% CI, 3%-17%; P = .004), whereas the estimates were comparable in persons with clinical AD dementia (mean difference, 4%; 95% CI, -2% to 9%; P = .18). CONCLUSIONS AND RELEVANCE This study found that CSF-based estimates using adjusted data-driven cutoffs were up to 10% higher than PET-based estimates in people without dementia, whereas the results were similar among people with dementia. This finding suggests that preclinical and prodromal AD may be more prevalent than previously estimated, which has important implications for clinical trial recruitment strategies and health care planning policies.
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Affiliation(s)
- Willemijn J Jansen
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Banner Alzheimer's Institute, Phoenix, Arizona
| | - Olin Janssen
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (UMC), Amsterdam, the Netherlands
| | - Stephanie J B Vos
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (UMC), Amsterdam, the Netherlands.,Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Pieter Jelle Visser
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center (UMC), Amsterdam, the Netherlands.,Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | | | - Dag Aarsland
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden.,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Daniel Alcolea
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Daniele Altomare
- Laboratory Alzheimer's Neuroimaging and Epidemiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Christine von Arnim
- Division of Geriatrics, University of Goettingen Medical School, Goettingen, Germany.,Clinic for Neurogeriatrics and Neurological Rehabilitation, University and Rehabilitation Hospital Ulm, Ulm, Germany
| | - Simone Baiardi
- Department of Experimental Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Spain
| | - Ines Baldeiras
- Center for Neuroscience and Cell Biology (CIBB), University of Coimbra, Coimbra, Portugal.,Neurology Department and Laboratory of Neurochemistry, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Coimbra, Portugal
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Randall J Bateman
- Department of Neurology and the Alzheimer's Disease Research Center, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Bart Van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.,Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Neuroscience and Physiology, Sahlgren's University Hospital, Mölndal, Sweden
| | - Merce Boada
- Research Center and Memory Clinic of Fundació Alzheimer Centre Educacional, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Henning Boecker
- Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany
| | - Michel Bottlaender
- Université Paris-Saclay, Service Hospitalier Frédéric Joliot (CEA), French National Centre for Scientific Research (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), BioMaps, Service Hospitalier Frederic Joliot, Orsay, France
| | - Anouk den Braber
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - David J Brooks
- Translational and Clinical Research Institute, University of Newcastle upon Tyne, United Kingdom.,Department of Nuclear Medicine, Positron Emission Tomography Centre, Aarhus University, Aarhus, Denmark.,Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Mark A Van Buchem
- Department of Neurology, University Hospital Leiden, Leiden, the Netherlands
| | - Vincent Camus
- Unite Mixte de Recherche, INSERM U930, French National Centre for Scientific Research (CNRS) ERL, Tours, France
| | - Jose Manuel Carill
- Nuclear Medicine Department, University Hospital Marqués de Valdecilla, Molecular Imaging, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), University of Cantabria, Santander, Spain
| | - Jiri Cerman
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona
| | - Gaël Chételat
- Normandie University, University of Caen Normandie (UNICAEN), INSERM, U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institut Blood and Brain at Caen-Normandie, Cyceron, Caen, France
| | - Elena Chipi
- Centro Disturbi della Memoria, Laboratorio di Neurochimica Clinica, Clinica Neurologica, Università di Perugia, Perugia, Italy
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alisha Daniels
- Department of Neurology, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Marion Delarue
- Normandie University, University of Caen Normandie (UNICAEN), INSERM, U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institut Blood and Brain at Caen-Normandie, Cyceron, Caen, France
| | - Mira Didic
- Assistance Publique Hôpitaux de Marseille (AP-HM), Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France.,Aix Marseille Univ, INSERM, Institut de Neurosciences des Systèmes (INS), Marseille, France
| | - Alexander Drzezga
- Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE), Bonn, Germany.,Department of Nuclear Medicine, University Hospital of Cologne, Cologne, Germany
| | - Bruno Dubois
- Department of Neurology, Institut de la Mémoire et de la Maladie d'Alzheimer, Centre de Référence Démences Rares, Hôpital de la Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Marie Eckerström
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium.,Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Stéphane Epelbaum
- Department of Neurology, Institut de la Mémoire et de la Maladie d'Alzheimer, Centre de Référence Démences Rares, Hôpital de la Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Anne M Fagan
- Department of Neurology and the Alzheimer's Disease Research Center, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | | | - Wiesje M Van der Flier
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Stefan Förster
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.,Department of Nuclear Medicine, Klinikum Bayreuth, Bayreuth, Germany
| | - Juan Fortea
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Kristian Steen Frederiksen
- Danish Dementia Research Center, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Yvonne Freund-Levi
- School of Medical Sciences, Örebro University, Örebro, Sweden.,Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet Center for Alzheimer Research, Stockholm, Sweden.,Department of Old Age Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Lars Frings
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Giovanni B Frisoni
- Memory Clinic, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Lutz Fröhlich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Tomasz Gabryelewicz
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland
| | - Hermann-Josef Gertz
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Leipzig, Leipzig, Germany
| | - Kiran Dip Gill
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Olymbia Gkatzima
- Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | | | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Eric Guedj
- Aix Marseille University, AP-HM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, Centre Européen de Recherche en Imagerie Médicale (CERIMED), Nuclear Medicine Department, Marseille, France
| | - Christian G Habeck
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York
| | - Harald Hampel
- Sorbonne University, Clinical Research Group no. 21, Alzheimer Precision Medicine, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Ron Handels
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Lucrezia Hausner
- Universität Heidelberg, Abteilung Gerontopsychiatrie, Zentralinstitut für Seelische Gesundheit Mannheim, Mannheim, Germany
| | - Sabine Hellwig
- Department of Psychiatry and Psychotherapy Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael T Heneka
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital of Bonn, Bonn, Germany.,Division of Infectious Diseases and Immunology, University of Massachusetts Medical School, Worcester
| | - Sanna-Kaisa Herukka
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Helmut Hildebrandt
- Klinikum Bremen-Ost, University of Oldenburg, Institute of Psychology, Oldenburg, Germany
| | - John Hodges
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Jakub Hort
- Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | | | - Ane Juaristi Iriondo
- Center for Research and Advanced Therapies, Centro de Investigación y Ciencias Avanzadas-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | - Yoshiaki Itoh
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Adrian Ivanoiu
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley.,Division of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California
| | - Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.,DZNE, Bonn, Germany
| | - Peter Johannsen
- Memory Disorder Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Keith A Johnson
- Department of Radiology, Massachusetts General Hospital, Boston
| | - Ramesh Kandimalla
- Department of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India.,Department of Radiation Oncology, Emory University, Atlanta, Georgia.,Applied Biology, Council of Scientific and Industrial Research (CSIR)-Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Hyderabad, Telangana State, India.,Department of Biochemistry, Kakatiya Medical College/Mahatma Gandhi Memorial Hospital, Warangal, Telangana State, India
| | - Elisabeth N Kapaki
- National and Kapodistrian University of Athens, School of Medicine, 1st Department of Neurology, Eginition Hospital, Athens, Greece
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Lena Kilander
- Department of Public Health and Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Aleksandra Klimkowicz-Mrowiec
- Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - William E Klunk
- Department of Psychiatry, Massachusetts General Hospital, Boston.,Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, University Hospital, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Milica G Kramberger
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Hung-Chou Kuo
- Department of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Koen Van Laere
- Division of Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Leuven, Belgium.,Department of Imaging and Pathology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Susan M Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley
| | - Brigitte Landeau
- Normandie University, University of Caen Normandie (UNICAEN), INSERM, U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), Institut Blood and Brain at Caen-Normandie, Cyceron, Caen, France
| | - Dong Young Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Mony de Leon
- Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, New York
| | - Cristian E Leyton
- School of Psychology, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Kun-Ju Lin
- Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, Guishan, Taoyuan, Taiwan
| | - Alberto Lleó
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Malin Löwenmark
- Memory Clinic, Department of Geriatrics, Uppsala University Hospital, Uppsala, Sweden
| | - Karine Madsen
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Jan Marcusson
- Acute Internal Medicine and Geriatrics, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Marta Marquié
- Research Center and Memory Clinic of Fundació Alzheimer Centre Educacional, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pablo Martinez-Lage
- Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, Donostia-San Sebastian, Spain
| | | | - Niklas Mattsson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | | | - Philipp T Meyer
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Shinobu Minatani
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Mark A Mintun
- Avid Radiopharmaceuticals, Philadelphia, Pennsylvania
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.,Margaret K.L. Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, The Chinese University of Hong Kong, Hong Kong, China.,BrainNow Research Institute, Guangdong Province, Shenzhen, China
| | - Jose Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Clinic University Hospital, Barcelona, Spain
| | - Silvia Daniela Morbelli
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino, IRCCS, Genoa, Italy
| | - John C Morris
- Department of Neurology and the Alzheimer's Disease Research Center, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Barbara Mroczko
- Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland.,Department of Biochemical Diagnostics, University Hospital of Białystok, Białystok, Poland
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Andrew Newberg
- Myrna Brind Center of Integrative Medicine, Thomas Jefferson University and Hospital, Philadelphia, Pennsylvania
| | - Flavio Nobili
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino, IRCCS, Genoa, Italy
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division for Neurogeriatrics, Karolinska Institutet, Huddinge, Sweden.,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | | | | | - Pauline Olivieri
- Department of Neurology of Memory and Language, Groupe Hospitalier Universitaire Paris Psychiatry and Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France.,Université de Paris, Paris, Université Paris-Saclay, BioMaps, CEA, CNRS, INSERM, Orsay, France
| | - Adela Orellana
- Research Center and Memory Clinic of Fundació Alzheimer Centre Educacional, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - George Paraskevas
- National and Kapodistrian University of Athens, School of Medicine, 1st Department of Neurology, Eginition Hospital, Athens, Greece
| | - Piero Parchi
- Istituto delle Scienze Neurologiche di Bologna, IRCCS, Bologna, Italy.,DIMES, University of Bologna, Bologna, Italy
| | | | - Lucilla Parnetti
- Centro Disturbi della Memoria, Laboratorio di Neurochimica Clinica, Clinica Neurologica, Università di Perugia, Perugia, Italy
| | - Oliver Peters
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin-CBF, Berlin, Deutschland
| | - Judes Poirier
- Studies on Prevention of Alzheimer's Disease (StOP-AD) Centre, Montreal, Quebec, Canada
| | - Julius Popp
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich and University of Zürich, Zürich, Switzerland.,Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland
| | - Sudesh Prabhakar
- Department of Neurology, Nehru Hospital, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Inez H Ramakers
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, IDIBAPS, Barcelona, Spain
| | | | | | - Karen M Rodrigue
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas
| | | | - Catherine M Roe
- Department of Neurology and the Alzheimer's Disease Research Center, Washington University School of Medicine in St Louis, St Louis, Missouri
| | - Pedro Rosa-Neto
- Studies on Prevention of Alzheimer's Disease (StOP-AD) Centre, Montreal, Quebec, Canada
| | - Howard J Rosen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Uros Rot
- Department of Neurology, Medical Center, Zaloska 7, Ljubljana, Slovenia
| | - Christopher C Rowe
- Department of Molecular Imaging, Austin Health, Melbourne, Victoria, Australia.,Florey Department of Neuroscience, University of Melbourne, Melbourne, Victoria, Australia
| | - Eckart Rüther
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August University, Göttingen, Germany
| | - Agustín Ruiz
- Research Center and Memory Clinic of Fundació Alzheimer Centre Educacional, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Osama Sabri
- Department of Nuclear Medicine, University Hospital of Leipzig, Leipzig, Germany
| | - Jayant Sakhardande
- Cognitive Neuroscience Division, Department of Neurology and the Taub Institute, Columbia University, New York, New York
| | - Pascual Sánchez-Juan
- Service of Neurology, University Hospital Marqués de Valdecilla-IDIVAL, CIBERNED, Santander, Spain
| | - Sigrid Botne Sando
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurology, University Hospital of Trondheim, Trondheim, Norway
| | - Isabel Santana
- Center for Neuroscience and Cell Biology (CIBB), University of Coimbra, Coimbra, Portugal.,Neurology Department and Laboratory of Neurochemistry, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Coimbra, Portugal
| | - Marie Sarazin
- Department of Neurology of Memory and Language, Groupe Hospitalier Universitaire Paris Psychiatry and Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France.,Université de Paris, Paris, Université Paris-Saclay, BioMaps, CEA, CNRS, INSERM, Orsay, France
| | - Philip Scheltens
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Johannes Schröder
- Section for Geriatric Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Sang Won Seo
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Dina Silva
- Faculty of Medicine, University of Lisboa, Lisboa, Portugal
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Peter J Snyder
- Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, The University of Rhode Island, Kingston
| | - Hilkka Soininen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Neurocenter, Department of Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Marc Sollberger
- Memory Clinic, University Department of Geriatric Medicine, Felix Platter-Hospital, Basel, Switzerland.,Department of Neurology, University Hospital Basel, Basel, Switzerland
| | - Reisa A Sperling
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Harvard Aging Brain Study, Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Luisa Spiru
- Geriatrics, Gerontology and Old Age Psychiatry Clinical Department, Carol Davila University of Medicine and Pharmacy-Elias, Emergency Clinical Hospital, Bucharest, Romania.,Memory Clinic and Longevity Medicine, Ana Aslan International Foundation, Bucharest, Romania
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology and the Taub Institute, Columbia University, New York, New York
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Akitoshi Takeda
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Marc Teichmann
- Department of Neurology, Institut de la Mémoire et de la Maladie d'Alzheimer, Centre de Référence Démences Rares, Hôpital de la Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France.,Centre de Référence Démences Rares, Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Charlotte E Teunissen
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Louisa I Thompson
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Jori Tomassen
- Department of Neurology, Alzheimer Centre Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Magda Tsolaki
- Aristotle University of Thessaloniki, Memory and Dementia Center, 3rd Department of Neurology, George Papanicolau General Hospital of Thessaloniki, Thessaloniki, Greece
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of Leuven, Leuven, Belgium.,Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Marcel M Verbeek
- Departments of Neurology and Laboratory Medicine, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Nijmegen, the Netherlands
| | - Frans R J Verhey
- Alzheimer Centre Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Victor Villemagne
- Department of Molecular Imaging, Austin Health, Melbourne, Victoria, Australia.,Molecular Biomarkers in Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.,Douglas Mental Health University Institute, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Jonathan Vogelgsang
- Translational Neuroscience Laboratory, McLean Hospital, Harvard Medical School, Belmont, Massachusetts
| | - Gunhild Waldemar
- Danish Dementia Research Center, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anders Wallin
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Åsa K Wallin
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany.,Center of Neurology, Department of Neurodegeneration and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Tzu-Chen Yen
- Department of Nuclear Medicine and Molecular Imaging Center, Linkou Chang Gung Memorial Hospital, Guishan, Taoyuan, Taiwan.,Healthy Aging Research Center and Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Marzena Zboch
- Research-Scientific-Didactic Centre of Dementia-Related Diseases in Scinawa, Medical University of Wroclaw, Wroclaw, Poland
| | - Henrik Zetterberg
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, University College London (UCL) Queen Square Institute of Neurology, Queen Square, London, United Kingdom.,UK Dementia Research Institute, London, United Kingdom.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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Snellman A, Ekblad LL, Koivumäki M, Lindgrén N, Tuisku J, Perälä M, Kallio L, Lehtonen R, Saunavaara V, Saunavaara J, Oikonen V, Aarnio R, Löyttyniemi E, Parkkola R, Karrasch M, Zetterberg H, Blennow K, Rinne JO. ASIC-E4: Interplay of Beta-Amyloid, Synaptic Density and Neuroinflammation in Cognitively Normal Volunteers With Three Levels of Genetic Risk for Late-Onset Alzheimer's Disease - Study Protocol and Baseline Characteristics. Front Neurol 2022; 13:826423. [PMID: 35222254 PMCID: PMC8863967 DOI: 10.3389/fneur.2022.826423] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/06/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Detailed characterization of early pathophysiological changes in preclinical Alzheimer's disease (AD) is necessary to enable development of correctly targeted and timed disease-modifying treatments. ASIC-E4 study ("Beta-Amyloid, Synaptic loss, Inflammation and Cognition in healthy APOE ε4 carriers") combines state-of-the-art neuroimaging and fluid-based biomarker measurements to study the early interplay of three key pathological features of AD, i.e., beta-amyloid (Aβ) deposition, neuroinflammation and synaptic dysfunction and loss in cognitively normal volunteers with three different levels of genetic (APOE-related) risk for late-onset AD. OBJECTIVE Here, our objective is to describe the study design, used protocols and baseline demographics of the ASIC-E4 study. METHODS/DESIGN ASIC-E4 is a prospective observational multimodal imaging study performed in Turku PET Centre in collaboration with University of Gothenburg. Cognitively normal 60-75-year-old-individuals with known APOE ε4/ε4 genotype were recruited via local Auria Biobank (Turku, Finland). Recruitment of the project has been completed in July 2020 and 63 individuals were enrolled to three study groups (Group 1: APOE ε4/ε4, N = 19; Group 2: APOE ε4/ε3, N = 22; Group 3: APOE ε3/ε3, N = 22). At baseline, all participants will undergo positron emission tomography imaging with tracers targeted against Aβ deposition (11C-PIB), activated glia (11C-PK11195) and synaptic vesicle glycoprotein 2A (11C-UCB-J), two brain magnetic resonance imaging scans, and extensive cognitive testing. In addition, blood samples are collected for various laboratory measurements and blood biomarker analysis and cerebrospinal fluid samples are collected from a subset of participants based on additional voluntary informed consent. To evaluate the predictive value of the early neuroimaging findings, neuropsychological evaluation and blood biomarker measurements will be repeated after a 4-year follow-up period. DISCUSSION Results of the ASIC-E4 project will bridge the gap related to limited knowledge of the synaptic and inflammatory changes and their association with each other and Aβ in "at-risk" individuals. Thorough in vivo characterization of the biomarker profiles in this population will produce valuable information for diagnostic purposes and future drug development, where the field has already started to look beyond Aβ.
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Affiliation(s)
- Anniina Snellman
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Laura L. Ekblad
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Mikko Koivumäki
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora Lindgrén
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Jouni Tuisku
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Merja Perälä
- Auria Biobank, Turku University Hospital, University of Turku, Turku, Finland
| | - Lila Kallio
- Auria Biobank, Turku University Hospital, University of Turku, Turku, Finland
| | - Riina Lehtonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Virva Saunavaara
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Vesa Oikonen
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Richard Aarnio
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Mira Karrasch
- Department of Psychology, Åbo Akademi University, Turku, Finland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juha O. Rinne
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
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Suo WZ. GRK5 Deficiency Causes Mild Cognitive Impairment due to Alzheimer's Disease. J Alzheimers Dis 2021; 85:1399-1410. [PMID: 34958040 DOI: 10.3233/jad-215379] [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: 11/15/2022]
Abstract
Prevention of Alzheimer's disease (AD) is a high priority mission while searching for a disease modifying therapy for AD, a devastating major public health crisis. Clinical observations have identified a prodromal stage of AD for which the patients have mild cognitive impairment (MCI) though do not yet meet AD diagnostic criteria. As an identifiable transitional stage before the onset of AD, MCI should become the high priority target for AD prevention, assuming successful prevention of MCI and/or its conversion to AD also prevents the subsequent AD. By pulling this string, one demonstrated cause of amnestic MCI appears to be the deficiency of G protein-coupled receptor-5 (GRK5). The most compelling evidence is that GRK5 knockout (GRK5KO) mice naturally develop into aMCI during aging. Moreover, GRK5 deficiency was reported to occur during prodromal stage of AD in CRND8 transgenic mice. When a GRK5KO mouse was crossbred with Tg2576 Swedish amyloid precursor protein transgenic mouse, the resulted double transgenic GAP mice displayed exaggerated behavioral and pathological changes across the spectrum of AD pathogenesis. Therefore, the GRK5 deficiency possesses unique features and advantage to serve as a prophylactic therapeutic target for MCI due to AD.
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Affiliation(s)
- William Z Suo
- Laboratory for Alzheimer's Disease & Aging Research, VA Medical Center, Kansas City, MO, USA.,Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Molecular & Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, USA.,The University of Kansas Alzheimer's Disease Center, Kansas City, KS, USA
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10
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Jang H, Soroski T, Rizzo M, Barral O, Harisinghani A, Newton-Mason S, Granby S, Stutz da Cunha Vasco TM, Lewis C, Tutt P, Carenini G, Conati C, Field TS. Classification of Alzheimer's Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data. Front Hum Neurosci 2021; 15:716670. [PMID: 34616282 PMCID: PMC8488259 DOI: 10.3389/fnhum.2021.716670] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative condition that results in impaired performance in multiple cognitive domains. Preclinical changes in eye movements and language can occur with the disease, and progress alongside worsening cognition. In this article, we present the results from a machine learning analysis of a novel multimodal dataset for AD classification. The cohort includes data from two novel tasks not previously assessed in classification models for AD (pupil fixation and description of a pleasant past experience), as well as two established tasks (picture description and paragraph reading). Our dataset includes language and eye movement data from 79 memory clinic patients with diagnoses of mild-moderate AD, mild cognitive impairment (MCI), or subjective memory complaints (SMC), and 83 older adult controls. The analysis of the individual novel tasks showed similar classification accuracy when compared to established tasks, demonstrating their discriminative ability for memory clinic patients. Fusing the multimodal data across tasks yielded the highest overall AUC of 0.83 ± 0.01, indicating that the data from novel tasks are complementary to established tasks.
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Affiliation(s)
- Hyeju Jang
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Thomas Soroski
- Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Matteo Rizzo
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Oswald Barral
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Anuj Harisinghani
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Sally Newton-Mason
- Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Saffrin Granby
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | | | - Caitlin Lewis
- Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Pavan Tutt
- Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Giuseppe Carenini
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Cristina Conati
- Department of Computer Science, University of British Columbia, Vancouver, BC, Canada
| | - Thalia S Field
- Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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11
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Ghisays V, Lopera F, Goradia DD, Protas HD, Malek-Ahmadi MH, Chen Y, Devadas V, Luo J, Lee W, Baena A, Bocanegra Y, Guzmán-Vélez E, Pardilla-Delgado E, Vila-Castelar C, Fox-Fuller JT, Hu N, Clayton D, Thomas RG, Alvarez S, Espinosa A, Acosta-Baena N, Giraldo MM, Rios-Romenets S, Langbaum JB, Chen K, Su Y, Tariot PN, Quiroz YT, Reiman EM. PET evidence of preclinical cerebellar amyloid plaque deposition in autosomal dominant Alzheimer's disease-causing Presenilin-1 E280A mutation carriers. NEUROIMAGE-CLINICAL 2021; 31:102749. [PMID: 34252876 PMCID: PMC8278433 DOI: 10.1016/j.nicl.2021.102749] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/21/2021] [Accepted: 06/26/2021] [Indexed: 11/16/2022]
Abstract
PET evidence of cerebellar Aβ deposition in unimpaired (CU) PSEN1 E280A kindred. Cerebellar Aβ PET SUVR began to distinguish CU carriers from non-carriers at age 34. Cortical and cerebellar Aβ PET SUVR are positively associated in CU carriers. Cerebellar florbetapir SUVR correlated with lower composite score in CU carriers.
Background In contrast to sporadic Alzheimer’s disease, autosomal dominant Alzheimer’s disease (ADAD) is associated with greater neuropathological evidence of cerebellar amyloid plaque (Aβ) deposition. In this study, we used positron emission tomography (PET) measurements of fibrillar Aβ burden to characterize the presence and age at onset of cerebellar Aβ deposition in cognitively unimpaired (CU) Presenilin-1 (PSEN1) E280A mutation carriers from the world’s largest extended family with ADAD. Methods 18F florbetapir and 11C Pittsburgh compound B (PiB) PET data from two independent studies – API ADAD Colombia Trial (NCT01998841) and Colombia-Boston (COLBOS) longitudinal biomarker study were included. The tracers were selected independently by the respective sponsors prior to the start of each study and used exclusively throughout. Template-based cerebellar Aβ-SUVR (standard-uptake value ratios) using a known-to-be-spared pons reference region (cerebellar SUVR_pons), to a) compare 28–56-year-old CU carriers and non-carriers; b) estimate the age at which cerebellar SUVR_pons began to differ significantly in carrier and non-carrier groups; and c) characterize in carriers associations with age, cortical SUVR_pons, delayed recall memory, and API ADAD composite score. Results Florbetapir and PiB cerebellar SUVR_pons were significantly higher in carriers than non-carriers (p < 0.0001). Cerebellar SUVR_pons began to distinguish carriers from non-carriers at age 34, 10 years before the carriers’ estimated age at mild cognitive impairment onset. Florbetapir and PiB cerebellar SUVR_pons in carriers were positively correlated with age (r = 0.44 & 0.69, p < 0.001), cortical SUVR_pons (r = 0.55 & 0.69, p < 0.001), and negatively correlated with delayed recall memory (r = −0.21 & −0.50, p < 0.05, unadjusted for cortical SUVR_pons) and API ADAD composite (r = −0.25, p < 0.01, unadjusted for cortical SUVR_pons in florbetapir API ADAD cohort). Conclusion This PET study provides evidence of cerebellar Aβ plaque deposition in CU carriers starting about a decade before the clinical onset of ADAD. Additional studies are needed to clarify the impact of using a cerebellar versus pons reference region on the power to detect and track ADAD changes, even in preclinical stages of this disorder.
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Affiliation(s)
- Valentina Ghisays
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Francisco Lopera
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Dhruman D Goradia
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Hillary D Protas
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Michael H Malek-Ahmadi
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Yinghua Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Vivek Devadas
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Ji Luo
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Wendy Lee
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Ana Baena
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Yamile Bocanegra
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia
| | | | | | | | - Joshua T Fox-Fuller
- Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Boston University, Boston, MA, USA
| | - Nan Hu
- Genentech Inc., South San Francisco, CA, USA
| | | | - Ronald G Thomas
- University of California San Diego School of Medicine, La Jolla, CA, USA
| | | | - Alejandro Espinosa
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia
| | | | - Margarita M Giraldo
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia
| | | | - Jessica B Langbaum
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA; Arizona State University, Tempe, AZ, USA; University of Arizona, Tucson, AZ, USA
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Pierre N Tariot
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Yakeel T Quiroz
- Neurosciences Group of Antioquia, Universidad de Antioquia, Medellín, Colombia; Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA; Arizona State University, Tempe, AZ, USA; University of Arizona, Tucson, AZ, USA; Translational Genomics Research Institute, Phoenix, AZ, USA.
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12
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Mantovani E, Zucchella C, Schena F, Romanelli MG, Venturelli M, Tamburin S. Towards a Redefinition of Cognitive Frailty. J Alzheimers Dis 2021; 76:831-843. [PMID: 32568197 PMCID: PMC7504985 DOI: 10.3233/jad-200137] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background: The progressive aging of the population will dramatically increase the burden of dementia related to Alzheimer’s disease (AD) and other neurodegenerative disorders in the future. Because of the absence of drugs that can modify the neuropathological substrate of AD, research is focusing on the application of preemptive and disease-modifying strategies in the pre-symptomatic period of the disease. In this perspective, the identification of people with cognitive frailty (CF), i.e., those individuals with higher risk of developing dementia, on solid pathophysiological bases and with clear operational clinical criteria is of paramount importance. Objective/Methods: This hypothesis paper reviews the current definitions of CF, presents and discusses some of their limitations, and proposes a framework for updating and improving the conceptual and operational definition of the CF construct. Results: The potential for reversibility of CF should be supported by the assessment of amyloid, tau, and neuronal damage biomarkers, especially in younger patients. Physical and cognitive components of frailty should be considered as separate entities, instead of part of a single macro-phenotype. CF should not be limited to the geriatric population, because trajectories of amyloid accumulation are supposed to start earlier than 65 years in AD. Operational criteria are needed to standardize assessment of CF. Conclusion: Based on the limitations of current CF definitions, we propose a revised one according to a multidimensional subtyping. This new definition might help stratifying CF patients for future trials to explore new lifestyle interventions or disease-modifying pharmacological strategies for AD and dementia.
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Affiliation(s)
- Elisa Mantovani
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Chiara Zucchella
- Section of Neurology, Department of Neurosciences, Verona University Hospital, Verona, Italy
| | - Federico Schena
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Maria Grazia Romanelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimo Venturelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Section of Neurology, Department of Neurosciences, Verona University Hospital, Verona, Italy
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13
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Vélez JI, Samper LA, Arcos-Holzinger M, Espinosa LG, Isaza-Ruget MA, Lopera F, Arcos-Burgos M. A Comprehensive Machine Learning Framework for the Exact Prediction of the Age of Onset in Familial and Sporadic Alzheimer's Disease. Diagnostics (Basel) 2021; 11:887. [PMID: 34067584 PMCID: PMC8156402 DOI: 10.3390/diagnostics11050887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/28/2021] [Accepted: 04/29/2021] [Indexed: 11/16/2022] Open
Abstract
Machine learning (ML) algorithms are widely used to develop predictive frameworks. Accurate prediction of Alzheimer's disease (AD) age of onset (ADAOO) is crucial to investigate potential treatments, follow-up, and therapeutic interventions. Although genetic and non-genetic factors affecting ADAOO were elucidated by other research groups and ours, the comprehensive and sequential application of ML to provide an exact estimation of the actual ADAOO, instead of a high-confidence-interval ADAOO that may fall, remains to be explored. Here, we assessed the performance of ML algorithms for predicting ADAOO using two AD cohorts with early-onset familial AD and with late-onset sporadic AD, combining genetic and demographic variables. Performance of ML algorithms was assessed using the root mean squared error (RMSE), the R-squared (R2), and the mean absolute error (MAE) with a 10-fold cross-validation procedure. For predicting ADAOO in familial AD, boosting-based ML algorithms performed the best. In the sporadic cohort, boosting-based ML algorithms performed best in the training data set, while regularization methods best performed for unseen data. ML algorithms represent a feasible alternative to accurately predict ADAOO with little human intervention. Future studies may include predicting the speed of cognitive decline in our cohorts using ML.
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Affiliation(s)
- Jorge I. Vélez
- Department of Industrial Engineering, Universidad del Norte, Barranquilla 081007, Colombia
| | - Luiggi A. Samper
- Department of Public Health, Universidad del Norte, Barranquilla 081007, Colombia;
| | - Mauricio Arcos-Holzinger
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia;
| | - Lady G. Espinosa
- INPAC Research Group, Fundación Universitaria Sanitas, Bogotá 111321, Colombia; (L.G.E.); (M.A.I.-R.)
| | - Mario A. Isaza-Ruget
- INPAC Research Group, Fundación Universitaria Sanitas, Bogotá 111321, Colombia; (L.G.E.); (M.A.I.-R.)
| | - Francisco Lopera
- Neuroscience Research Group, University of Antioquia, Medellín 050010, Colombia;
| | - Mauricio Arcos-Burgos
- Grupo de Investigación en Psiquiatría (GIPSI), Departamento de Psiquiatría, Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia;
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14
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Tuzzi E, Balla DZ, Loureiro JRA, Neumann M, Laske C, Pohmann R, Preische O, Scheffler K, Hagberg GE. Ultra-High Field MRI in Alzheimer's Disease: Effective Transverse Relaxation Rate and Quantitative Susceptibility Mapping of Human Brain In Vivo and Ex Vivo compared to Histology. J Alzheimers Dis 2021; 73:1481-1499. [PMID: 31958079 DOI: 10.3233/jad-190424] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia worldwide. So far, diagnosis of AD is only unequivocally defined through postmortem histology. Amyloid plaques are a classical hallmark of AD and amyloid load is currently quantified by Positron Emission tomography (PET) in vivo. Ultra-high field magnetic resonance imaging (UHF-MRI) can potentially provide a non-invasive biomarker for AD by allowing imaging of pathological processes at a very-high spatial resolution. The first aim of this work was to reproduce the characteristic cortical pattern previously observed in vivo in AD patients using weighted-imaging at 7T. We extended these findings using quantitative susceptibility mapping (QSM) and quantification of the effective transverse relaxation rate (R2*) at 9.4T. The second aim was to investigate the origin of the contrast patterns observed in vivo in the cortex of AD patients at 9.4T by comparing quantitative UHF-MRI (9.4T and 14.1T) of postmortem samples with histology. We observed a distinctive cortical pattern in vivo in patients compared to healthy controls (HC), and these findings were confirmed ex vivo. Specifically, we found a close link between the signal changes detected by QSM in the AD sample at 14.1T and the distribution pattern of amyloid plaques in the histological sections of the same specimen. Our findings showed that QSM and R2* maps can distinguish AD from HC at UHF by detecting cortical alterations directly related to amyloid plaques in AD patients. Furthermore, we provided a method to quantify amyloid plaque load in AD patients at UHF non-invasively.
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Affiliation(s)
- Elisa Tuzzi
- Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department for Biomedical Magnetic Resonance, Eberhard Karl's University, Tübingen and University Hospital, Tübingen, Germany
| | - David Z Balla
- Department for Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Joana R A Loureiro
- Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department for Biomedical Magnetic Resonance, Eberhard Karl's University, Tübingen and University Hospital, Tübingen, Germany.,Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA
| | - Manuela Neumann
- Department of Neuropathology, University Hospital, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Rolf Pohmann
- Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Oliver Preische
- German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Klaus Scheffler
- Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department for Biomedical Magnetic Resonance, Eberhard Karl's University, Tübingen and University Hospital, Tübingen, Germany
| | - Gisela E Hagberg
- Department for High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.,Department for Biomedical Magnetic Resonance, Eberhard Karl's University, Tübingen and University Hospital, Tübingen, Germany
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15
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Lee H, Kim K, Lee YC, Kim S, Won HH, Yu TY, Lee EM, Kang JM, Lewis M, Kim DK, Myung W. Associations between vascular risk factors and subsequent Alzheimer's disease in older adults. ALZHEIMERS RESEARCH & THERAPY 2020; 12:117. [PMID: 32979926 PMCID: PMC7520023 DOI: 10.1186/s13195-020-00690-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 09/15/2020] [Indexed: 01/21/2023]
Abstract
Background The clinical guidelines related to the primary prevention of Alzheimer’s disease (AD) have focused on the management of vascular risk factors. However, the link between vascular risk factors and AD in older adults remains unclear. This study aimed to determine the association between vascular risk factors and subsequent AD in 178,586 older adults (age ≥ 65 years). Methods Participants were recruited from 2009 through 2010 and followed up for 6 years. We assessed various vascular risk factors (total cholesterol [TC], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], triglycerides [TG], fasting glucose [FG], systolic blood pressure [SBP], diastolic blood pressure [DBP], pulse pressure [PP], and body mass index [BMI]) and their association with AD incidence, categorizing each vascular factor using current clinical guidelines. Results AD was observed in 6.0% of participants at follow-up. All lipid profiles (TC, LDL-C, HDL-C and TG) were positively associated with the risk of AD. SBP and PP were in negative associations with AD, and DBP was positively associated with AD. BMI exhibited a negative association with AD incidence. We found no significant association between FG and AD risk. The sex difference was observed to have effects on vascular risk factors. Conclusions In this study, we comprehensively investigated the association between eight vascular risk factors and the risk of incident AD. Our findings suggest that multiple vascular risk factors are related to the development of AD in older adults. These results can help inform future guidelines for reducing AD risk.
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Affiliation(s)
- Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan, South Korea
| | - Kiwon Kim
- Department of Psychiatry, Veteran Health Service Medical Center, Seoul, South Korea
| | - Yeong Chan Lee
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Soyeon Kim
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Hong-Hee Won
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul, South Korea
| | - Tae Yang Yu
- Division of Endocrinology and Metabolism, Department of Medicine, Wonkwang Medical Center, Wonkwang University School of Medicine, Iksan, South Korea
| | - Eun-Mi Lee
- Department of Health Science, Dongduk Women's University, Seoul, South Korea
| | - Jae Myeong Kang
- Department of Psychiatry, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea
| | - Matthew Lewis
- The Department of General Practice, Melbourne Medical School, The University of Melbourne, Melbourne, Australia
| | - Doh Kwan Kim
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
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16
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Functional connectivity between the entorhinal and posterior cingulate cortices underpins navigation discrepancies in at-risk Alzheimer's disease. Neurobiol Aging 2020; 90:110-118. [DOI: 10.1016/j.neurobiolaging.2020.02.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 02/10/2020] [Accepted: 02/10/2020] [Indexed: 01/29/2023]
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17
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The Alzheimer's Prevention Initiative Composite Cognitive Test: a practical measure for tracking cognitive decline in preclinical Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2020; 12:66. [PMID: 32460855 PMCID: PMC7254761 DOI: 10.1186/s13195-020-00633-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/18/2020] [Indexed: 12/21/2022]
Abstract
Background There is growing interest in identifying sensitive composite cognitive tests to serve as primary endpoints in preclinical Alzheimer’s disease (AD) treatment trials. We reported previously a composite cognitive test score sensitive to tracking preclinical AD decline up to 5 years prior to clinical diagnosis. Here we expand upon and refine this work, empirically deriving a composite cognitive test score sensitive to tracking preclinical AD decline up to 11 years prior to diagnosis and suitable for use as a primary endpoint in a preclinical AD trial. Methods This study used a longitudinal approach to maximize sensitivity to tracking progressive cognitive decline in people who progressed to the clinical stages of AD (n = 868) compared to those who remained cognitively unimpaired during the same time period (n = 989), thereby correcting for normal aging and practice effects. Specifically, we developed the Alzheimer’s Prevention Initiative Preclinical Composite Cognitive test (APCC) to measure very early longitudinal cognitive decline in older adults with preclinical AD. Data from three cohorts from Rush University were analyzed using a partial least squares (PLS) regression model to identify optimal composites within different time periods prior to diagnosis, up to 11 years prior to diagnosis. The mean-to-standard deviation ratio (MSDRs) is an indicator of sensitivity to change and was used to inform the final calculation of the composite score. Results The optimal composite, the APCC, is calculated: 0.26*Symbol Digit Modalities + 2.24*MMSE Orientation to Time + 2.14*MMSE Orientation to Place + 0.53*Logical Memory Delayed Recall + 1.36* Word List-Delayed Recall + 0.68*Judgment of Line Orientation + 1.39*Raven’s Progressive Matrices Matrices (subset of 9 items from A and B). The MSDR of the APCC in a population of preclinical AD individuals who eventually progress to cognitive impairment, compared to those who remained cognitively unimpaired during the same time period, was − 1.10 over 1 year. Conclusions The APCC is an empirically derived composite cognitive test score with high face validity that is sensitive to preclinical AD decline up to 11 years prior to diagnosis of the clinical stages of AD. The components of the APCC are supported by theoretical understanding of cognitive decline that occurs during preclinical AD. The APCC was used as a primary outcome in the API Generation Program trials.
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Rychlik M, Mlyniec K. Zinc-mediated Neurotransmission in Alzheimer's Disease: A Potential Role of the GPR39 in Dementia. Curr Neuropharmacol 2020; 18:2-13. [PMID: 31272355 PMCID: PMC7327932 DOI: 10.2174/1570159x17666190704153807] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 04/11/2019] [Accepted: 07/01/2019] [Indexed: 01/19/2023] Open
Abstract
With more people reaching an advanced age in modern society, there is a growing need for strategies to slow down age-related neuropathology and loss of cognitive functions, which are a hallmark of Alzheimer's disease. Neuroprotective drugs and candidate drug compounds target one or more processes involved in the neurodegenerative cascade, such as excitotoxicity, oxidative stress, misfolded protein aggregation and/or ion dyshomeostasis. A growing body of research shows that a G-protein coupled zinc (Zn2+) receptor (GPR39) can modulate the abovementioned processes. Zn2+ itself has a diverse activity profile at the synapse, and by binding to numerous receptors, it plays an important role in neurotransmission. However, Zn2+ is also necessary for the formation of toxic oligomeric forms of amyloid beta, which underlie the pathology of Alzheimer’s disease. Furthermore, the binding of Zn2+ by amyloid beta causes a disruption of zincergic signaling, and recent studies point to GPR39 and its intracellular targets being affected by amyloid pathology. In this review, we present neurobiological findings related to Zn2+ and GPR39, focusing on its signaling pathways, neural plasticity, interactions with other neurotransmission systems, as well as on the effects of pathophysiological changes observed in Alzheimer's disease on GPR39 function. Direct targeting of the GPR39 might be a promising strategy for the pharmacotherapy of zincergic dyshomeostasis observed in Alzheimer’s disease. The information presented in this article will hopefully fuel further research into the role of GPR39 in neurodegeneration and help in identifying novel therapeutic targets for dementia.
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Affiliation(s)
- Michal Rychlik
- Department of Pharmacobiology, Jagiellonian University Medical College, Medyczna 9, PL 30-688 Krakow, Poland
| | - Katarzyna Mlyniec
- Department of Pharmacobiology, Jagiellonian University Medical College, Medyczna 9, PL 30-688 Krakow, Poland
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19
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Rios-Romenets S, Lopera F, Sink KM, Hu N, Lian Q, Guthrie H, Smith J, Cho W, Mackey H, Langbaum JB, Thomas RG, Giraldo-Chica M, Tobon C, Acosta-Baena N, Muñoz C, Ospina P, Tirado V, Henao E, Bocanegra Y, Chen K, Su Y, Goradia D, Thiyyagura P, VanGilder PS, Luo J, Ghisays V, Lee W, Malek-Ahmadi MH, Protas HD, Chen Y, Quiroz YT, Reiman EM, Tariot PN. Baseline demographic, clinical, and cognitive characteristics of the Alzheimer's Prevention Initiative (API) Autosomal-Dominant Alzheimer's Disease Colombia Trial. Alzheimers Dement 2020; 16:1023-1030. [PMID: 32418361 PMCID: PMC7819133 DOI: 10.1002/alz.12109] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 01/26/2020] [Accepted: 02/21/2020] [Indexed: 01/22/2023]
Abstract
INTRODUCTION The API AutosomalDominant AD (ADAD) Colombia Trial is a placebo-controlled clinical trial of crenezumab in 252 cognitively unimpaired 30 to 60-year-old Presenilin 1 (PSEN1) E280A kindred members, including mutation carriers randomized to active treatment or placebo and non-carriers who receive placebo. METHODS Of the 252 enrolled, we present data on a total of 242 mutation carriers and non-carriers matched by age range, excluding data on 10 participants to protect participant confidentiality, genetic status, and trial integrity. RESULTS We summarize demographic, clinical, cognitive, and behavioral data from 167 mutation carriers and 75 non-carriers, 30 to 53 years of age. Carriers were significantly younger than non-carriers ((mean age ± SD) 37 ± 5 vs 42 ± 6), had significantly lower Mini Mental Status Exam (MMSE) scores (28.8 ± 1.4 vs 29.2 ± 1.0), and had consistently lower memory scores. DISCUSSION Although PSEN1 E280A mutation carriers in the Trial are cognitively unimpaired, they have slightly lower MMSE and memory scores than non-carriers. Their demographic characteristics are representative of the local population.
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Affiliation(s)
| | - Francisco Lopera
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Kaycee M Sink
- Genentech Inc., South San Francisco, California, USA
| | - Nan Hu
- Genentech Inc., South San Francisco, California, USA
| | - Qinshu Lian
- Genentech Inc., South San Francisco, California, USA
| | | | | | - William Cho
- Genentech Inc., South San Francisco, California, USA
| | - Howard Mackey
- Genentech Inc., South San Francisco, California, USA
| | | | | | | | - Carlos Tobon
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | | | - Claudia Muñoz
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Paula Ospina
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Victoria Tirado
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Eliana Henao
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Yamile Bocanegra
- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
| | | | | | | | - Ji Luo
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
| | | | - Wendy Lee
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
| | | | | | - Yinghua Chen
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
| | - Yakeel T Quiroz
- Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts, USA
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- Neurosciences Group of Antioquia/University of Antioquia, Medellin, Colombia
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20
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D’Argenio V, Sarnataro D. New Insights into the Molecular Bases of Familial Alzheimer's Disease. J Pers Med 2020; 10:jpm10020026. [PMID: 32325882 PMCID: PMC7354425 DOI: 10.3390/jpm10020026] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/14/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022] Open
Abstract
Like several neurodegenerative disorders, such as Prion and Parkinson diseases, Alzheimer's disease (AD) is characterized by spreading mechanism of aggregated proteins in the brain in a typical "prion-like" manner. Recent genetic studies have identified in four genes associated with inherited AD (amyloid precursor protein-APP, Presenilin-1, Presenilin-2 and Apolipoprotein E), rare mutations which cause dysregulation of APP processing and alterations of folding of the derived amyloid beta peptide (A). Accumulation and aggregation of A in the brain can trigger a series of intracellular events, including hyperphosphorylation of tau protein, leading to the pathological features of AD. However, mutations in these four genes account for a small of the total genetic risk for familial AD (FAD). Genome-wide association studies have recently led to the identification of additional AD candidate genes. Here, we review an update of well-established, highly penetrant FAD-causing genes with correlation to the protein misfolding pathway, and novel emerging candidate FAD genes, as well as inherited risk factors. Knowledge of these genes and of their correlated biochemical cascade will provide several potential targets for treatment of AD and aging-related disorders.
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Affiliation(s)
- Valeria D’Argenio
- CEINGE-Biotecnologie Avanzate scarl, via G. Salvatore 486, 80145 Naples, Italy
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, via di val Cannuta 247, 00166 Rome, Italy
- Correspondence: (V.D.); (D.S.); Tel.: +39-081-3737909 (V.D.); +39-081-7464575 (D.S.)
| | - Daniela Sarnataro
- Department of Molecular Medicine and Medical Biotechnology, Federico II University, via S. Pansini 5, 80131 Naples, Italy
- Correspondence: (V.D.); (D.S.); Tel.: +39-081-3737909 (V.D.); +39-081-7464575 (D.S.)
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21
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Castor KJ, Shenoi S, Edminster SP, Tran T, King KS, Chui H, Pogoda JM, Fonteh AN, Harrington MG. Urine dicarboxylic acids change in pre-symptomatic Alzheimer's disease and reflect loss of energy capacity and hippocampal volume. PLoS One 2020; 15:e0231765. [PMID: 32298384 PMCID: PMC7162508 DOI: 10.1371/journal.pone.0231765] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 03/31/2020] [Indexed: 12/13/2022] Open
Abstract
Non-invasive biomarkers will enable widespread screening and early diagnosis of Alzheimer’s disease (AD). We hypothesized that the considerable loss of brain tissue in AD will result in detection of brain lipid components in urine, and that these will change in concert with CSF and brain biomarkers of AD. We examined urine dicarboxylic acids (DCA) of carbon length 3–10 to reflect products of oxidative damage and energy generation or balance that may account for changes in brain function in AD. Mean C4-C5 DCAs were lower and mean C7-C10 DCAs were higher in the urine from AD compared to cognitively healthy (CH) individuals. Moreover, mean C4-C5 DCAs were lower and mean C7-C9 were higher in urine from CH individuals with abnormal compared to normal CSF amyloid and Tau levels; i.e., the apparent urine changes in AD also appeared to be present in CH individuals that have CSF risk factors of early AD pathology. In examining the relationship between urine DCAs and AD biomarkers, we found short chain DCAs positively correlated with CSF Aβ42, while C7-C10 DCAs negatively correlated with CSF Aβ42 and positively correlated with CSF Tau levels. Furthermore, we found a negative correlation of C7-C10 DCAs with hippocampal volume (p < 0.01), which was not found in the occipital volume. Urine measures of DCAs have an 82% ability to predict cognitively healthy participants with normal CSF amyloid/Tau. These data suggest that urine measures of increased lipoxidation and dysfunctional energy balance reflect early AD pathology from brain and CSF biomarkers. Measures of urine DCAs may contribute to personalized healthcare by indicating AD pathology and may be utilized to explore population wellness or monitor the efficacy of therapies in clinical trials.
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Affiliation(s)
- K. J. Castor
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States of America
| | - S. Shenoi
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States of America
| | - S. P. Edminster
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States of America
| | - T. Tran
- Clinical MR Unit, Huntington Medical Research Institutes, Pasadena, CA, United States of America
| | - K. S. King
- Clinical MR Unit, Huntington Medical Research Institutes, Pasadena, CA, United States of America
| | - H. Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - J. M. Pogoda
- Cipher Biostatistics & Reporting, Reno, NV, United States of America
| | - A. N. Fonteh
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States of America
- * E-mail: (ANF); (MGH)
| | - M. G. Harrington
- Neurosciences, Huntington Medical Research Institutes, Pasadena, CA, United States of America
- * E-mail: (ANF); (MGH)
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McCoy TH, Han L, Pellegrini AM, Tanzi RE, Berretta S, Perlis RH. Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study. Alzheimers Dement 2020; 16:531-540. [PMID: 31859230 DOI: 10.1016/j.jalz.2019.09.084] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Preventing dementia, or modifying disease course, requires identification of presymptomatic or minimally symptomatic high-risk individuals. METHODS We used longitudinal electronic health records from two large academic medical centers and applied a validated natural language processing tool to estimate cognitive symptomatology. We used survival analysis to examine the association of cognitive symptoms with incident dementia diagnosis during up to 8 years of follow-up. RESULTS Among 267,855 hospitalized patients with 1,251,858 patient years of follow-up data, 6516 (2.4%) received a new diagnosis of dementia. In competing risk regression, an increasing cognitive symptom score was associated with earlier dementia diagnosis (HR 1.63; 1.54-1.72). Similar results were observed in the second hospital system and in subgroup analysis of younger and older patients. DISCUSSION A cognitive symptom measure identified in discharge notes facilitated stratification of risk for dementia up to 8 years before diagnosis.
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Affiliation(s)
- Thomas H McCoy
- Center for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA
| | - Larry Han
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amelia M Pellegrini
- Center for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA
| | - Rudolph E Tanzi
- Genetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Sabina Berretta
- Translational Neuroscience Lab., Basic Neuroscience Division, McLean Hospital, Belmont, MA, USA
| | - Roy H Perlis
- Center for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA
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23
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Brain imaging measurements of fibrillar amyloid-β burden, paired helical filament tau burden, and atrophy in cognitively unimpaired persons with two, one, and no copies of the APOE ε4 allele. Alzheimers Dement 2020; 16:598-609. [PMID: 31831374 PMCID: PMC7187298 DOI: 10.1016/j.jalz.2019.08.195] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION We previously characterized associations between brain imaging measurements of amyloid-β (Aβ) plaque burden and apolipoprotein E (APOE) ε4 gene dose in a small number of cognitively unimpaired late-middle-aged APOE ε4 homozygotes (HMs), heterozygotes (HTs), and noncarriers (NCs). We now characterize cross-sectional Aβ plaque, tau tangle, and cortical atrophy (neurodegeneration) measurements, classifications, and associations with age in a larger number of unimpaired HMs, HTs, and NCs over a wider age range. METHODS We analyzed 11 C Pittsburgh compound B (Aβ) positron emission tomography (PET), flortaucipir (tau) PET, and volumetric magnetic resonance imaging data from 164 study participants of age 47-86 years, including 26 APOE ε4 HMs, 48 HTs, and 90 NCs matched for age and sex. RESULTS Aβ PET measurements rose, plateaued at the respective ages of 68 and 76, and then declined with age in unimpaired HM and HT groups. Compared with NCs, these two groups began to have significantly higher Aβ PET measurements at ages 62 and 70, respectively, and no longer had significantly higher measurements by ages 71 and 78, respectively. They began to have significantly higher entorhinal cortex tau PET measurements at ages 66 and 70, respectively, and no longer had significantly higher measurements by ages 74 and 78, respectively. Brain atrophy measurements tended to decline slowly with age in all three genetic groups. Their elevated tau PET measurements were attributable to those with positive Aβ PET scans. 41.0%, 18.0%, and 5.0% of the 47- to 70-year-old HMs, HTs, and NCs and 25.0%, 79.0%, and 38.0% of the 71- to 86-year-old HMs, HTs, and NCs had positive Aβ PET scans, and the long-term recall memory scores are significantly higher in the older HMs than in HT and NC groups, suggesting resistance to Aβ deposition in those HMs who remained unimpaired at older ages. CONCLUSIONS This study provides information about Aβ plaque burden, tau tangle burden, and neurodegeneration in cognitively unimpaired persons at three levels of genetic risk for AD. Unimpaired APOE ε4 HMs can be studied before their 70s to evaluate the understanding of factors, processes, and interventions involved in the predisposition to and prevention of AD, and after their 70s, to discover factors, processes, and interventions involved in the resilience or resistance to and prevention of AD.
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Quan M, Zhao T, Tang Y, Luo P, Wang W, Qin Q, Li T, Wang Q, Fang J, Jia J. Effects of gene mutation and disease progression on representative neural circuits in familial Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2020; 12:14. [PMID: 31937364 PMCID: PMC6961388 DOI: 10.1186/s13195-019-0572-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 12/23/2019] [Indexed: 02/08/2023]
Abstract
Background Although structural and functional changes of the striatum and hippocampus are present in familial Alzheimer’s disease, little is known about the effects of specific gene mutation or disease progression on their related neural circuits. This study was to evaluate the effects of known pathogenic gene mutation and disease progression on the striatum- and hippocampus-related neural circuits, including frontostriatal and hippocampus-posterior cingulate cortex (PCC) pathways. Methods A total of 102 healthy mutation non-carriers, 40 presymptomatic mutation carriers (PMC), and 30 symptomatic mutation carriers (SMC) of amyloid precursor protein (APP), presenilin 1 (PS1), or presenilin 2 gene, with T1 structural MRI, diffusion tensor imaging, and resting-state functional MRI were included. Representative neural circuits and their key nodes were obtained, including bilateral caudate-rostral middle frontal gyrus (rMFG), putamen-rMFG, and hippocampus-PCC. Volumes, diffusion indices, and functional connectivity of circuits were compared between groups and correlated with neuropsychological and clinical measures. Results In PMC, APP gene mutation carriers showed impaired diffusion indices of caudate-rMFG and putamen-rMFG circuits; PS1 gene mutation carriers showed increased fiber numbers of putamen-rMFG circuit. SMC showed increased diffusivity of the left hippocampus-PCC circuit and volume reduction of all regions as compared with PMC. Imaging measures especially axial diffusivity of the representative circuits were correlated with neuropsychological measures. Conclusions APP and PS1 gene mutations affect frontostriatal circuits in a different manner in familial Alzheimer’s disease; disease progression primarily affects the structure of hippocampus-PCC circuit. The structural connectivity of both frontostriatal and hippocampus-PCC circuits is associated with general cognitive function. Such findings may provide further information about the imaging biomarkers for early identification and prognosis of familial Alzheimer’s disease, and pave the way for early diagnosis, gene- or circuit-targeted treatment, and even prevention. Electronic supplementary material The online version of this article (10.1186/s13195-019-0572-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Tan Zhao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Yi Tang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Ping Luo
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Wei Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Qi Qin
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Tingting Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Qigeng Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China
| | - Jiliang Fang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, People's Republic of China. .,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, People's Republic of China. .,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, People's Republic of China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, People's Republic of China.
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Zhang Y, Xiao Z, He Z, Chen J, Wang X, Jiang L. Dendritic complexity change in the triple transgenic mouse model of Alzheimer's disease. PeerJ 2020; 8:e8178. [PMID: 31942251 PMCID: PMC6955100 DOI: 10.7717/peerj.8178] [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] [Received: 05/10/2019] [Accepted: 11/08/2019] [Indexed: 11/20/2022] Open
Abstract
Alzheimer’s disease (AD) is an irreversible, neurodegenerative disease that is characterized by memory impairment and executive dysfunction. However, the change of fine structure of neuronal morphology remains unclear in the AD model mouse. In this study, high-resolution mouse brain sectional images were scanned by Micro-Optical Sectioning Tomography (MOST) technology and reconstructed three-dimensionally to obtain the pyramidal neurons. The method of Sholl analysis was performed to analyze the neurons in the brains of 6- and 12-month-old AD mice. The results showed that dendritic complexity was not affected in the entorhinal cortex between 6-month-old mice and 12-month-old mice. The dendritic complexity had increased in the primary motor cortex and CA1 region of hippocampus of 12- month-old mice compared with 6-month-old mice. On the contrary, dendritic complexity in the prefrontal cortex was decreased significantly between 6-month-old and 12-month-old mice. To our knowledge, this is the first study to provide high-resolution brain images of triple transgenic AD mice for statistically analyzing neuronal dendrite complexity by MOST technology to reveal the morphological changes of neurons during AD progression.
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Affiliation(s)
- Yu Zhang
- Shenzhen University, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen, China
| | - Zhenlong Xiao
- Harbin Institute of Technology (Shenzhen), Department of Mechanical and Automation Engineering, Shenzhen, China
| | - Zhijun He
- Shenzhen University, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen, China
| | - Junyu Chen
- Shenzhen University, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen, China
| | - Xin Wang
- Harbin Institute of Technology (Shenzhen), Department of Mechanical and Automation Engineering, Shenzhen, China
| | - Liang Jiang
- Shenzhen University, Shenzhen Key Laboratory of Marine Bioresources and Ecology, Brain Disease and Big Data Research Institute, College of Life Sciences and Oceanography, Shenzhen, China
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Wake T, Tabuchi H, Funaki K, Ito D, Yamagata B, Yoshizaki T, Nakahara T, Jinzaki M, Yoshimasu H, Tanahashi I, Shimazaki H, Mimura M. Disclosure of Amyloid Status for Risk of Alzheimer Disease to Cognitively Normal Research Participants With Subjective Cognitive Decline: A Longitudinal Study. Am J Alzheimers Dis Other Demen 2020; 35:1533317520904551. [PMID: 32052640 PMCID: PMC10623980 DOI: 10.1177/1533317520904551] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2024]
Abstract
This study aimed to investigate the long-term impacts of disclosing amyloid status for a risk of Alzheimer disease (AD) to cognitively normal research participants with subjective cognitive decline (SCD), which represents an initial manifestation of AD. Forty-two participants were classified as the amyloid-positive (n = 10) or amyloid-negative (n = 32) groups. We assessed symptoms of anxiety, depression, and test-related distress at 6, 24, and 52 weeks after results disclosure. No difference was found over time in anxiety, depression, and test-related distress in either group. Although no significant differences were observed between groups in anxiety or depression, the amyloid-negative group had a significantly higher level of test-related distress than the amyloid-positive group at 52 weeks. Disclosing amyloid status to cognitively healthy research participants with SCD did not cause significant long-term psychological risks. However, a theoretical spectrum of subjective concern may exist about cognitive decline in amyloid-negative individuals.
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Affiliation(s)
- Taisei Wake
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hajime Tabuchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kei Funaki
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Daisuke Ito
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Bun Yamagata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Takahito Yoshizaki
- Department of Neurology, Keio University School of Medicine, Tokyo, Japan
| | - Tadaki Nakahara
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Haruo Yoshimasu
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Iori Tanahashi
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Hiroumi Shimazaki
- Department of Psychiatry, Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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Boxer AL, Gold M, Feldman H, Boeve BF, Dickinson SLJ, Fillit H, Ho C, Paul R, Pearlman R, Sutherland M, Verma A, Arneric SP, Alexander BM, Dickerson BC, Dorsey ER, Grossman M, Huey ED, Irizarry MC, Marks WJ, Masellis M, McFarland F, Niehoff D, Onyike CU, Paganoni S, Panzara MA, Rockwood K, Rohrer JD, Rosen H, Schuck RN, Soares HD, Tatton N. New directions in clinical trials for frontotemporal lobar degeneration: Methods and outcome measures. Alzheimers Dement 2020; 16:131-143. [PMID: 31668596 PMCID: PMC6949386 DOI: 10.1016/j.jalz.2019.06.4956] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Frontotemporal lobar degeneration (FTLD) is the most common form of dementia for those under 60 years of age. Increasing numbers of therapeutics targeting FTLD syndromes are being developed. METHODS In March 2018, the Association for Frontotemporal Degeneration convened the Frontotemporal Degeneration Study Group meeting in Washington, DC, to discuss advances in the clinical science of FTLD. RESULTS Challenges exist for conducting clinical trials in FTLD. Two of the greatest challenges are (1) the heterogeneity of FTLD syndromes leading to difficulties in efficiently measuring treatment effects and (2) the rarity of FTLD disorders leading to recruitment challenges. DISCUSSION New personalized endpoints that are clinically meaningful to individuals and their families should be developed. Personalized approaches to analyzing MRI data, development of new fluid biomarkers and wearable technologies will help to improve the power to detect treatment effects in FTLD clinical trials and enable new, clinical trial designs, possibly leveraged from the experience of oncology trials. A computational visualization and analysis platform that can support novel analyses of combined clinical, genetic, imaging, biomarker data with other novel modalities will be critical to the success of these endeavors.
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Affiliation(s)
- Adam L. Boxer
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | | | - Howard Feldman
- Department of Neurosciences, University of California San Diego, San Diego, CA
| | | | | | | | - Carole Ho
- Denali Therapeutics, San Francisco, CA
| | | | | | | | | | | | | | | | - Earl Ray Dorsey
- Center for Health and Technology, University of Rochester, Rochester, NY
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA
| | - Edward D. Huey
- Departments of Psychiatry and Neurology, Columbia University, NY
| | | | - William J. Marks
- Clinical Neurology, Verily Life Sciences, South San Francisco, CA
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, ON, Canada; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, ON, Canada
| | | | - Debra Niehoff
- Association for Frontotemporal Degeneration, Radnor, PA
| | - Chiadi U. Onyike
- Department Geriatric Psychiatry and Neuropsychiatry, Johns Hopkins University, Baltimore, MD
| | - Sabrina Paganoni
- Healey Center for ALS, Massachusetts General Hospital, Boston, MA
| | | | - Kenneth Rockwood
- Division of Geriatric Medicine, Dalhousie University, Halifax, NS
| | - Jonathan D. Rohrer
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, UK
| | - Howard Rosen
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA
| | - Robert N. Schuck
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, FDA, Silver Spring, MD
| | | | - Nadine Tatton
- Association for Frontotemporal Degeneration, Radnor, PA
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Rios-Romenets S, Giraldo-Chica M, López H, Piedrahita F, Ramos C, Acosta-Baena N, Muñoz C, Ospina P, Tobón C, Cho W, Ward M, Langbaum JB, Tariot PN, Reiman EM, Lopera F. The Value of Pre-Screening in the Alzheimer's Prevention Initiative (API) Autosomal Dominant Alzheimer's Disease Trial. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2019; 5:49-54. [PMID: 29405233 DOI: 10.14283/jpad.2017.44] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The Alzheimer's Prevention Initiative (API) Autosomal Dominant Alzheimer's Disease (ADAD) trial evaluates the anti-amyloid-β antibody crenezumab in cognitively unimpaired persons who, based on genetic background and age, are at high imminent risk of clinical progression, and provides a powerful test of the amyloid hypothesis. The Neurosciences Group of Antioquia implemented a pre-screening process with the goals of decreasing screen failures and identifying participants most likely to adhere to trial requirements of the API ADAD trial in cognitively unimpaired members of Presenilin1 E280A mutation kindreds. The pre-screening failure rate was 48.2%: the primary reason was expected inability to comply with the protocol, chiefly due to work requirements. More carriers compared to non-carriers, and more males compared to females, failed pre-screening. Carriers with illiteracy or learning/comprehension difficulties failed pre-screening more than non-carriers. With the Colombian API Registry and our prescreening efforts, we randomized 169 30-60 year-old cognitively unimpaired carriers and 83 non-carriers who agreed to participate in the trial for at least 60 months. Our findings suggest multiple benefits of implementing a pre-screening process for enrolling prevention trials in ADAD.
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Affiliation(s)
- S Rios-Romenets
- Silvia Rios-Romenets, MD, Medical Director and Deputy API Colombia, Neuroscience Group of Antioquia, Calle 62 No. 52 - 59, Medellín, Antioquia, Colombia, Phone: 57-4-2196424, 2196425, Fax: 57-4-2196444,
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Reynolds DS. A short perspective on the long road to effective treatments for Alzheimer's disease. Br J Pharmacol 2019; 176:3636-3648. [PMID: 30657599 PMCID: PMC6715596 DOI: 10.1111/bph.14581] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/21/2018] [Accepted: 12/03/2018] [Indexed: 12/13/2022] Open
Abstract
Globally, there are approximately 47 million people living with dementia, and about two thirds of those have Alzheimer's disease (AD). Age is the single biggest risk factor for the vast majority of sporadic AD cases, and because the world's population is aging, the number of people living with AD is set to rise dramatically over the coming decades. There are currently no disease-modifying treatments for AD, and the few symptomatic agents available have limited impact on the disease. Perhaps surprisingly, there is relatively little activity in the AD research and development field compared with other diseases with a high mortality burden, such as cancer. There is enormous economic incentive to discover and develop the first disease-modifying treatment, but previous failure has significantly reduced further industrial investment in this field. The short review looks at the historical path trodden to develop treatments and reflects on the journey down the road to truly effective treatments for people living with AD. LINKED ARTICLES: This article is part of a themed section on Therapeutics for Dementia and Alzheimer's Disease: New Directions for Precision Medicine. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v176.18/issuetoc.
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Cummings J, Feldman HH, Scheltens P. The "rights" of precision drug development for Alzheimer's disease. Alzheimers Res Ther 2019; 11:76. [PMID: 31470905 PMCID: PMC6717388 DOI: 10.1186/s13195-019-0529-5] [Citation(s) in RCA: 128] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 08/13/2019] [Indexed: 01/12/2023]
Abstract
There is a high rate of failure in Alzheimer's disease (AD) drug development with 99% of trials showing no drug-placebo difference. This low rate of success delays new treatments for patients and discourages investment in AD drug development. Studies across drug development programs in multiple disorders have identified important strategies for decreasing the risk and increasing the likelihood of success in drug development programs. These experiences provide guidance for the optimization of AD drug development. The "rights" of AD drug development include the right target, right drug, right biomarker, right participant, and right trial. The right target identifies the appropriate biologic process for an AD therapeutic intervention. The right drug must have well-understood pharmacokinetic and pharmacodynamic features, ability to penetrate the blood-brain barrier, efficacy demonstrated in animals, maximum tolerated dose established in phase I, and acceptable toxicity. The right biomarkers include participant selection biomarkers, target engagement biomarkers, biomarkers supportive of disease modification, and biomarkers for side effect monitoring. The right participant hinges on the identification of the phase of AD (preclinical, prodromal, dementia). Severity of disease and drug mechanism both have a role in defining the right participant. The right trial is a well-conducted trial with appropriate clinical and biomarker outcomes collected over an appropriate period of time, powered to detect a clinically meaningful drug-placebo difference, and anticipating variability introduced by globalization. We lack understanding of some critical aspects of disease biology and drug action that may affect the success of development programs even when the "rights" are adhered to. Attention to disciplined drug development will increase the likelihood of success, decrease the risks associated with AD drug development, enhance the ability to attract investment, and make it more likely that new therapies will become available to those with or vulnerable to the emergence of AD.
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Affiliation(s)
- Jeffrey Cummings
- Department of Brain Health, School of Integrated Health Sciences, UNLV and Cleveland Clinic Lou Ruvo Center for Brain Health, 888 West Bonneville Ave, Las Vegas, NV, 89106, USA.
| | - Howard H Feldman
- Department of Neurosciences, Alzheimer's Disease Cooperative Study, University of California San Diego, San Diego, CA, USA
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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The Alzheimer's Prevention Initiative Generation Program: Study design of two randomized controlled trials for individuals at risk for clinical onset of Alzheimer's disease. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2019; 5:216-227. [PMID: 31211217 PMCID: PMC6562315 DOI: 10.1016/j.trci.2019.02.005] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Introduction Alzheimer's disease (AD) pathology, including the accumulation of amyloid beta (Aβ) species and tau pathology, begins decades before the onset of cognitive impairment. This long preclinical period provides an opportunity for clinical trials designed to prevent or delay the onset of cognitive impairment due to AD. Under the umbrella of the Alzheimer's Prevention Initiative Generation Program, therapies targeting Aβ, including CNP520 (umibecestat), a β-site-amyloid precursor protein cleaving enzyme-1 (BACE-1) inhibitor, and CAD106, an active Aβ immunotherapy, are in clinical development in preclinical AD. Methods The Alzheimer's Prevention Initiative Generation Program comprises two pivotal (phase 2/3) studies that assess the efficacy and safety of umibecestat and CAD106 in cognitively unimpaired individuals with high risk for developing symptoms of AD based on their age (60-75 years), APOE4 genotype, and, for heterozygotes (APOE ε2/ε4 or ε3/ε4), elevated brain amyloid. Approximately, 3500 individuals will be enrolled in either Generation Study 1 (randomized to cohort 1 [CAD106 injection or placebo, 5:3] or cohort 2 [oral umibecestat 50 mg or placebo, 3:2]) or Generation Study 2 (randomized to oral umibecestat 50 mg and 15 mg, or placebo [2:1:2]). Participants receive treatment for at least 60 months and up to a maximum of 96 months. Primary outcomes include time to event, with event defined as diagnosis of mild cognitive impairment due to AD and/or dementia due to AD, and the Alzheimer's Prevention Initiative preclinical composite cognitive test battery. Secondary endpoints include the Clinical Dementia Rating Sum of Boxes, Repeatable Battery for the Assessment of Neuropsychological Status total score, Everyday Cognition Scale, biomarkers, and brain imaging. Discussion The Generation Program is designed to assess the efficacy, safety, and biomarker effects of the two treatments in individuals at high risk for AD. It may also provide a plausible test of the amyloid hypothesis and further accelerate the evaluation of AD prevention therapies.
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Grill JD, Hoang D, Gillen DL, Cox CG, Gombosev A, Klein K, O'Leary S, Witbracht M, Pierce A. Constructing a Local Potential Participant Registry to Improve Alzheimer's Disease Clinical Research Recruitment. J Alzheimers Dis 2019; 63:1055-1063. [PMID: 29710723 DOI: 10.3233/jad-180069] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Potential participant registries are tools to address the challenge of slow recruitment to clinical research. In particular, registries may aid recruitment to secondary prevention clinical trials for Alzheimer's disease (AD), which enroll cognitively normal older individuals meeting specific genetic or biomarker criteria. Evidence of registry effectiveness is sparse, as is guidance on optimal designs or methods of conduct. We report our experiences of developing a novel local potential participant registry that implemented online enrollment and data collection. In the first year of operation, 957 individuals submitted email addresses to the registry, of whom 592 self-reported demographic, family history, and medical data. In addition, registrants provided information related to their interest and willingness to be contacted about studies. Local earned media and community education were the most effective methods of recruitment into the registry. Seventy-six (26%) of 298 registrants contacted about studies in the first year enrolled in those studies. One hundred twenty-nine registrants were invited to enroll in a preclinical AD trial, of whom 25 (18%) screened and 6 were randomized. These results indicate that registries can aid recruitment and provide needed guidance for investigators initiating new local registries.
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Affiliation(s)
- Joshua D Grill
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA.,Institute for Clinical and Translational Science, University of California Irvine, CA, USA.,Department of Psychiatry and Human Behavior, University of California Irvine, CA, USA.,Department of Neurobiology and Behavior, University of California Irvine, CA, USA
| | - Dan Hoang
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA
| | - Daniel L Gillen
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA.,Department of Statistics, University of California Irvine, CA, USA
| | - Chelsea G Cox
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA
| | - Adrijana Gombosev
- Institute for Clinical and Translational Science, University of California Irvine, CA, USA
| | - Kirsten Klein
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA
| | - Steve O'Leary
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA
| | - Megan Witbracht
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA
| | - Aimee Pierce
- Institute for Memory Impairments and Neurological Disorders, University of California Irvine, CA, USA.,Department of Neurology, University of California Irvine, CA, USA
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Ashford JW, Tarpin-Bernard F, Ashford CB, Ashford MT. A Computerized Continuous-Recognition Task for Measurement of Episodic Memory. J Alzheimers Dis 2019; 69:385-399. [PMID: 30958384 PMCID: PMC6597981 DOI: 10.3233/jad-190167] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Based on clinical observations of severe episodic memory (EM) impairment in dementia of Alzheimer’s disease (AD), a brief, computerized EM test was developed for AD patient evaluation. A continuous recognition task (CRT) was chosen because of its extensive use in EM research. Initial experience with this computerized CRT (CCRT) showed patients were very engaged in the test, but AD patients had marked failure in recognizing repeated images. Subsequently, the test was administered to audiences, and then a two-minute online version was implemented (http://www.memtrax.com). The online CCRT shows 50 images, 25 unique and 25 repeats, which subjects respectively either try to remember or indicate recognition as quickly as possible. The pictures contain 5 sets of 5 images of scenes or objects (e.g., mountains, clothing, vehicles, etc.). A French company (HAPPYneuron, SAS) provided the test for 2 years, with these results. Of 18,477 individuals, who indicated sex and age 21–99 years and took the test for the first time, 18,007 individuals performed better than chance. In this group, age explained 1.5% of the variance in incorrect responses and 3.5% of recognition time variance, indicating considerable population variability. However, when averaging for specific year of age, age explained 58% of percent incorrect variance and 78% of recognition time variance, showing substantial population variability but a major age effect. There were no apparent sex effects. Further studies are indicated to determine the value of this CCRT as an AD screening test and validity as a measure of EM impairment in other clinical conditions.
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Affiliation(s)
- J Wesson Ashford
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.,War Related Illness & Injury Study Center, VA Palo Alto Health Care System, Palo Alto, CA, USA
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Takatori S, Wang W, Iguchi A, Tomita T. Genetic Risk Factors for Alzheimer Disease: Emerging Roles of Microglia in Disease Pathomechanisms. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1118:83-116. [PMID: 30747419 DOI: 10.1007/978-3-030-05542-4_5] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The accumulation of aggregated amyloid β (Aβ) peptides in the brain is deeply involved in Alzheimer disease (AD) pathogenesis. Mutations in APP and presenilins play major roles in Aβ pathology in rare autosomal-dominant forms of AD, whereas pathomechanisms of sporadic AD, accounting for the majority of cases, remain unknown. In this chapter, we review current knowledge on genetic risk factors of AD, clarified by recent advances in genome analysis technology. Interestingly, TREM2 and many genes associated with disease risk are predominantly expressed in microglia, suggesting that these risk factors are involved in pathogenicity through common mechanisms involving microglia. Therefore, we focus on factors closely associated with microglia and discuss their possible roles in pathomechanisms of AD. Furthermore, we review current views on the pathological roles of microglia and emphasize the importance of microglial changes in response to Aβ deposition and mechanisms underlying the phenotypic changes. Importantly, functional outcomes of microglial activation can be both protective and deleterious to neurons. We further describe the involvement of microglia in tau pathology and the activation of other glial cells. Through these topics, we shed light on microglia as a promising target for drug development for AD and other neurological disorders.
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Affiliation(s)
- Sho Takatori
- Laboratory of Neuropathology and Neuroscience, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Wenbo Wang
- Laboratory of Neuropathology and Neuroscience, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Akihiro Iguchi
- Laboratory of Neuropathology and Neuroscience, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Taisuke Tomita
- Laboratory of Neuropathology and Neuroscience, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
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35
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Khan AR, Yang X, Fu M, Zhai G. Recent progress of drug nanoformulations targeting to brain. J Control Release 2018; 291:37-64. [DOI: 10.1016/j.jconrel.2018.10.004] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 10/03/2018] [Accepted: 10/04/2018] [Indexed: 02/08/2023]
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36
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Aisen P, Touchon J, Amariglio R, Andrieu S, Bateman R, Breitner J, Donohue M, Dunn B, Doody R, Fox N, Gauthier S, Grundman M, Hendrix S, Ho C, Isaac M, Raman R, Rosenberg P, Schindler R, Schneider L, Sperling R, Tariot P, Welsh-Bohmer K, Weiner M, Vellas B. EU/US/CTAD Task Force: Lessons Learned from Recent and Current Alzheimer's Prevention Trials. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2018; 4:116-124. [PMID: 29186281 DOI: 10.14283/jpad.2017.13] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
At a meeting of the EU/US/Clinical Trials in Alzheimer's Disease (CTAD) Task Force in December 2016, an international group of investigators from industry, academia, and regulatory agencies reviewed lessons learned from ongoing and planned prevention trials, which will help guide future clinical trials of AD treatments, particularly in the pre-clinical space. The Task Force discussed challenges that need to be addressed across all aspects of clinical trials, calling for innovation in recruitment and retention, infrastructure development, and the selection of outcome measures. While cognitive change provides a marker of disease progression across the disease continuum, there remains a need to identify the optimal assessment tools that provide clinically meaningful endpoints. Patient- and informant-reported assessments of cognition and function may be useful but present additional challenges. Imaging and other biomarkers are also essential to maximize the efficiency of and the information learned from clinical trials.
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Affiliation(s)
- P Aisen
- PPaul Aisen, Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine, University of Southern California, San Diego, CA, USA,
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Wang G, Berry S, Xiong C, Hassenstab J, Quintana M, McDade EM, Delmar P, Vestrucci M, Sethuraman G, Bateman RJ. A novel cognitive disease progression model for clinical trials in autosomal-dominant Alzheimer's disease. Stat Med 2018; 37:3047-3055. [PMID: 29761523 PMCID: PMC6105413 DOI: 10.1002/sim.7811] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 04/12/2018] [Accepted: 04/17/2018] [Indexed: 11/05/2022]
Abstract
Clinical trial outcomes for Alzheimer's disease are typically analyzed by using the mixed model for repeated measures (MMRM) or similar models that compare an efficacy scale change from baseline between treatment arms with or without participants' disease stage as a covariate. The MMRM focuses on a single-point fixed follow-up duration regardless of the exposure for each participant. In contrast to these typical models, we have developed a novel semiparametric cognitive disease progression model (DPM) for autosomal dominant Alzheimer's disease based on the Dominantly Inherited Alzheimer Network (DIAN) observational study. This model includes 3 novel features, in which the DPM (1) aligns and compares participants by disease stage, (2) uses a proportional treatment effect similar to the concept of the Cox proportional hazard ratio, and (3) incorporates extended follow-up data from participants with different follow-up durations using all data until last participant visit. We present the DPM model developed by using the DIAN observational study data and demonstrate through simulation that the cognitive DPM used in hypothetical intervention clinical trials produces substantial gains in power compared with the MMRM.
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Affiliation(s)
- Guoqiao Wang
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Jason Hassenstab
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Eric M. McDade
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul Delmar
- F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Matteo Vestrucci
- F. Hoffmann-La Roche Ltd., Basel, Switzerland
- Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX, USA
| | | | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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Kirsebom BE, Espenes R, Waterloo K, Hessen E, Johnsen SH, Bråthen G, Aarsland D, Fladby T. Screening for Alzheimer's Disease: Cognitive Impairment in Self-Referred and Memory Clinic-Referred Patients. J Alzheimers Dis 2018; 60:1621-1631. [PMID: 28984581 PMCID: PMC5676856 DOI: 10.3233/jad-170385] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Cognitive assessment is essential in tracking disease progression in AD. Presently, cohorts including preclinical at-risk participants are recruited by different means, which may bias cognitive and clinical features. We compared recruitment strategies to levels of cognitive functioning. OBJECTIVE We investigate recruitment source biases in self-referred and memory clinic-referred patient cohorts to reveal potential differences in cognitive performance and demographics among at-risk participants. METHODS We included 431 participants 40-80 years old. Participants were classified as controls (n = 132) or symptom group (n = 299). The symptom group comprised of subjective cognitive decline (SCD, n = 163) and mild cognitive impairment (MCI, n = 136). We compared cognitive performance and demographics in memory clinic-referrals (n = 86) to self-referred participants responding to advertisements and news bulletins (n = 179). Participants recruited by other means were excluded from analysis (n = 34). RESULTS At symptom group level, we found significant reductions in cognitive performance in memory clinic-referrals compared to self-referrals. However, here reductions were only found within the MCI group. We found no differences in cognitive performance due to recruitment within the SCD group. The MCI group was significantly impaired compared to controls on all measures. Significant reductions in learning, and executive functions were also found for the SCD group. CONCLUSION Regardless of recruitment method, both the SCD and MCI groups showed reductions in cognitive performance compared to controls. We found differences in cognitive impairment for memory clinic-referrals compared to self-referrals only within the MCI group, SCD-cases being equally affected irrespective of referral type.
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Affiliation(s)
- Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Ragna Espenes
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Knut Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Erik Hessen
- Department of Psychology, University of Oslo, Oslo, Norway.,Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Stein Harald Johnsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Clinical Medicine, Brain and Circulation Research Group, UiT The Arctic University of Norway, Tromsø, Norway
| | - Geir Bråthen
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
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Romero HR, Monsch AU, Hayden KM, Plassman BL, Atkins AS, Keefe RSE, Brewster S, Chiang C, O'Neil J, Runyan G, Atkinson MJ, Crawford S, Budur K, Burns DK, Welsh-Bohmer KA. TOMMORROW neuropsychological battery: German language validation and normative study. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2018; 4:314-323. [PMID: 30094331 PMCID: PMC6076367 DOI: 10.1016/j.trci.2018.06.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Introduction Assessment of preclinical Alzheimer's disease (AD) requires reliable and validated methods to detect subtle cognitive changes. The battery of standardized cognitive assessments that is used for diagnostic criteria for mild cognitive impairment due to AD in the TOMMORROW study have only been fully validated in English-speaking countries. We conducted a validation and normative study of the German language version of the TOMMORROW neuropsychological test battery, which tests episodic memory, language, visuospatial ability, executive function, and attention. Methods German-speaking cognitively healthy controls (NCs) and subjects with AD were recruited from a memory clinic at a Swiss medical center. Construct validity, test-retest, and alternate form reliability were assessed in NCs. Criterion and discriminant validities of the cognitive measures were tested using logistic regression and discriminant analysis. Cross-cultural equivalency of performance of the German language tests was compared with English language tests. Results A total of 198 NCs and 25 subjects with AD (aged 65-88 years) were analyzed. All German language tests discriminated NCs from persons with AD. Episodic memory tests had the highest potential to discriminate with almost twice the predictive power of any other domain. Test-retest reliability of the test battery was adequate, and alternate form reliability for episodic memory tests was supported. For most tests, age was a significant predictor of group effect sizes; therefore, normative data were stratified by age. Validity and reliability results were similar to those in the published US cognitive testing literature. Discussion This study establishes the reliability and validity of the German language TOMMORROW test battery, which performed similarly to the English language tests. Some variations in test performance underscore the importance of regional normative values. The German language battery and normative data will improve the precision of measuring cognition and diagnosing incident mild cognitive impairment due to AD in clinical settings in German-speaking countries.
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Affiliation(s)
- Heather R Romero
- Joseph & Kathleen Bryan Alzheimer's Disease Research Center (Bryan ADRC), Duke University, Durham, NC, USA.,Department of Psychiatry, Duke University, Durham, NC, USA
| | - Andreas U Monsch
- University Center for Medicine of Aging, Felix Platter Hospital, Basel, Switzerland
| | - Kathleen M Hayden
- Joseph & Kathleen Bryan Alzheimer's Disease Research Center (Bryan ADRC), Duke University, Durham, NC, USA.,Department of Psychiatry, Duke University, Durham, NC, USA.,Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Brenda L Plassman
- Joseph & Kathleen Bryan Alzheimer's Disease Research Center (Bryan ADRC), Duke University, Durham, NC, USA.,Department of Psychiatry, Duke University, Durham, NC, USA
| | | | - Richard S E Keefe
- Department of Psychiatry, Duke University, Durham, NC, USA.,NeuroCog Trials, Durham, NC, USA
| | | | - Carl Chiang
- Zinfandel Pharmaceuticals, Inc., Chapel Hill, NC, USA
| | - Janet O'Neil
- Takeda Development Center, Americas, Inc., Deerfield, IL, USA
| | - Grant Runyan
- Takeda Development Center, Americas, Inc., Deerfield, IL, USA
| | - Mark J Atkinson
- Covance Inc., Princeton, NJ, USA.,Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
| | | | - Kumar Budur
- Takeda Development Center, Americas, Inc., Deerfield, IL, USA
| | | | - Kathleen A Welsh-Bohmer
- Joseph & Kathleen Bryan Alzheimer's Disease Research Center (Bryan ADRC), Duke University, Durham, NC, USA.,Department of Psychiatry, Duke University, Durham, NC, USA
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40
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Rios-Romenets S, Acosta-Baena N, Lopez L, Madrigal-Zapata L, Street H, Jakimovich L, Langbaum JB, Cho W, Reiman EM, Tariot PN, Lopera F. Adherence/Retention Alzheimer's Prevention Initiative Colombia Plan. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2018; 4:283-287. [PMID: 30090848 PMCID: PMC6077834 DOI: 10.1016/j.trci.2018.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Introduction The Alzheimer's Prevention Initiative Colombia Trial is a collaborative project involving the Neurosciences Group of Antioquia, Genentech/Roche, and the Banner Alzheimer's Institute, studying whether crenezumab can delay or prevent the clinical onset of Alzheimer's disease in cognitively unimpaired individuals who carry the PSEN1 E280A mutation. In an effort to optimize participant compliance and adherence and maintain interest in the trial for its duration, the Neurosciences Group of Antioquia developed an “Adherence/Retention Plan.” This plan identifies potential barriers to trial adherence related to characteristics of the participants and study partners, protocol design, sponsors, investigators, environmental factors, and characteristics of this population in general and identifies potential solutions to these barriers. Methods Neurosciences Group of Antioquia designed and implemented a number of strategies including a) a prescreening process that emphasized detailed and staged informed consent involving the participant and family and/or friends, b) a schedule of visits and assessments designed to minimize burden while achieving the trial's aims, c) appointment reminders, d) reimbursement for transportation and missed work, e) meals during study visits, f) birthday cards, g) quarterly newsletters, h) annual in-person feedback meetings, i) a supplemental health plan to participants, and j) a social plan to support family members. All the methods used in this plan were approved by local ethics committees. Results By the end of the fourth year of the trial, participant retention was 94.0%, with most participants reporting that they felt “very satisfied” with their participation in the trial. Discussion The Adherence/Retention Plan plays a crucial role in maintaining adherence and compliance needed to achieve the ambitious goals of the Alzheimer's Prevention Initiative-Colombia Autosomal Dominant Alzheimer's Disease Trial and may offer guideposts for other prevention trials.
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Affiliation(s)
| | | | - Liliana Lopez
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | | | | | | | | | - William Cho
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | | | | | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
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41
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Gijsen HJM, Alonso de Diego SA, De Cleyn M, García-Molina A, Macdonald GJ, Martínez-Lamenca C, Oehlrich D, Prokopcova H, Rombouts FJR, Surkyn M, Trabanco AA, Van Brandt S, Van den Bossche D, Van Gool M, Austin N, Borghys H, Dhuyvetter D, Moechars D. Optimization of 1,4-Oxazine β-Secretase 1 (BACE1) Inhibitors Toward a Clinical Candidate. J Med Chem 2018; 61:5292-5303. [PMID: 29809004 DOI: 10.1021/acs.jmedchem.8b00304] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In previous studies, the introduction of electron withdrawing groups to 1,4-oxazine BACE1 inhibitors reduced the p Ka of the amidine group, resulting in compound 2 that showed excellent in vivo efficacy, lowering Aβ levels in brain and CSF. However, a suboptimal cardiovascular safety margin, based on QTc prolongation, prevented further progression. Further optimization resulted in the replacement of the 2-fluoro substituent by a CF3-group, which reduced hERG inhibition. This has led to compound 3, with an improved cardiovascular safety margin and sufficiently safe in GLP toxicity studies to progress into clinical trials.
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Affiliation(s)
- Harrie J M Gijsen
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Sergio A Alonso de Diego
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen-Cilag SA , C/Jarama 75A , 45007 Toledo , Spain
| | - Michel De Cleyn
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Aránzazu García-Molina
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen-Cilag SA , C/Jarama 75A , 45007 Toledo , Spain
| | - Gregor J Macdonald
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Carolina Martínez-Lamenca
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Daniel Oehlrich
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Hana Prokopcova
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Frederik J R Rombouts
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Michel Surkyn
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Andrés A Trabanco
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen-Cilag SA , C/Jarama 75A , 45007 Toledo , Spain
| | - Sven Van Brandt
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Dries Van den Bossche
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Michiel Van Gool
- Neuroscience Medicinal Chemistry, Janssen Research & Development , Janssen-Cilag SA , C/Jarama 75A , 45007 Toledo , Spain
| | - Nigel Austin
- Discovery Sciences, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Herman Borghys
- Discovery Sciences, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Deborah Dhuyvetter
- Discovery Sciences, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
| | - Diederik Moechars
- Neuroscience Biology, Janssen Research & Development , Janssen Pharmaceutica NV , Turnhoutseweg 30 , B-2340 Beerse , Belgium
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The psychological impact of disclosing amyloid status to Japanese elderly: a preliminary study on asymptomatic patients with subjective cognitive decline. Int Psychogeriatr 2018; 30:635-639. [PMID: 29094656 DOI: 10.1017/s1041610217002204] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
ABSTRACTIn Japan, 4.6 million people are living with dementia and the number is expected to rise to 7 million by 2025. Amyloid-β (Aβ) positron emission tomography (PET) is used for cognitively normal Japanese people with or without subjective cognitive decline (SCD) for the purpose of clinical trials or diagnosis. Nevertheless, no empirical studies have been conducted on the safety of disclosing amyloid status to such populations. We conducted amyloid PET imaging on 42 participants (Aβ positive (n = 10) and negative (n = 32)). State anxiety and depression were measured at pre- and post-disclosure, and test-related distress at post-disclosure. Mean state anxiety and depression scores were below the cut-off through pre- and post-disclosure in the Aβ positive and negative groups. State anxiety and depression did not change over time and were not different between groups. Mean test-related distress scores were within normal limits at post-disclosure in both groups. No significant difference was found between groups. Disclosing Aβ positive results did not cause greater mood disturbance than negative results in a short period of time. The short-term psychological safety of disclosing Aβ PET results to asymptomatic Japanese adults with SCD was indicated.
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Freudenberg-Hua Y, Li W, Davies P. The Role of Genetics in Advancing Precision Medicine for Alzheimer's Disease-A Narrative Review. Front Med (Lausanne) 2018; 5:108. [PMID: 29740579 PMCID: PMC5928202 DOI: 10.3389/fmed.2018.00108] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 04/03/2018] [Indexed: 12/12/2022] Open
Abstract
Alzheimer's disease (AD) is the most common type of dementia, which has a substantial genetic component. AD affects predominantly older people. Accordingly, the prevalence of dementia has been rising as the population ages. To date, there are no effective interventions that can cure or halt the progression of AD. The only available treatments are the management of certain symptoms and consequences of dementia. The current state-of-the-art medical care for AD comprises three simple principles: prevent the preventable, achieve early diagnosis, and manage the manageable symptoms. This review provides a summary of the current state of knowledge of risk factors for AD, biological diagnostic testing, and prospects for treatment. Special emphasis is given to recent advances in genetics of AD and the way genomic data may support prevention, early intervention, and development of effective pharmacological treatments. Mutations in the APP, PSEN1, and PSEN2 genes cause early onset Alzheimer's disease (EOAD) that follows a Mendelian inheritance pattern. For late onset Alzheimer's disease (LOAD), APOE4 was identified as a major risk allele more than two decades ago. Population-based genome-wide association studies of late onset AD have now additionally identified common variants at roughly 30 genetic loci. Furthermore, rare variants (allele frequency <1%) that influence the risk for LOAD have been identified in several genes. These genetic advances have broadened our insights into the biological underpinnings of AD. Moreover, the known genetic risk variants could be used to identify presymptomatic individuals at risk for AD and support diagnostic assessment of symptomatic subjects. Genetic knowledge may also facilitate precision medicine. The goal of precision medicine is to use biological knowledge and other health information to predict individual disease risk, understand disease etiology, identify disease subcategories, improve diagnosis, and provide personalized treatment strategies. We discuss the potential role of genetics in advancing precision medicine for AD along with its ethical challenges. We outline strategies to implement genomics into translational clinical research that will not only improve accuracy of dementia diagnosis, thus enabling more personalized treatment strategies, but may also speed up the discovery of novel drugs and interventions.
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Affiliation(s)
- Yun Freudenberg-Hua
- Litwin-Zucker Center for the study of Alzheimer’s Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
- Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, United States
| | - Wentian Li
- Robert S Boas Center for Genomics and Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Peter Davies
- Litwin-Zucker Center for the study of Alzheimer’s Disease, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
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44
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Tariot PN, Lopera F, Langbaum JB, Thomas RG, Hendrix S, Schneider LS, Rios-Romenets S, Giraldo M, Acosta N, Tobon C, Ramos C, Espinosa A, Cho W, Ward M, Clayton D, Friesenhahn M, Mackey H, Honigberg L, Sanabria Bohorquez S, Chen K, Walsh T, Langlois C, Reiman EM. The Alzheimer's Prevention Initiative Autosomal-Dominant Alzheimer's Disease Trial: A study of crenezumab versus placebo in preclinical PSEN1 E280A mutation carriers to evaluate efficacy and safety in the treatment of autosomal-dominant Alzheimer's disease, including a placebo-treated noncarrier cohort. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2018; 4:150-160. [PMID: 29955659 PMCID: PMC6021543 DOI: 10.1016/j.trci.2018.02.002] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
INTRODUCTION Autosomal-dominant Alzheimer's disease (ADAD) represents a crucial population for identifying prevention strategies that might modify disease course for cognitively unimpaired individuals at high imminent risk for developing symptoms due to Alzheimer's disease (AD), that is, who have "preclinical" AD. Crenezumab is an antiamyloid monoclonal antibody that binds monomeric and aggregated forms of amyloid β, with highest affinity for oligomers; it is in development for early stages of sporadic AD and for ADAD. METHODS This is a prospective, randomized, double-blind, placebo-controlled phase 2 study of the efficacy of crenezumab versus placebo in asymptomatic PSEN1 E280A mutation carriers from family kindreds with ADAD in Colombia. Participants were randomized to receive either crenezumab or placebo for 260 weeks. The study was designed to enroll a planned total of 300 participants, including 200 preclinical mutation carriers (approximately 100 treatment, 100 placebo) and an additional control group of mutation noncarriers from the same family kindreds included to mask mutation carrier status (100 placebo only). The primary outcome is change in the Alzheimer's Prevention Initiative ADAD Composite Cognitive Test Score from baseline to week 260. Secondary outcomes include time to progression to mild cognitive impairment due to AD or dementia due to AD; changes in dementia severity, memory, and overall neurocognitive functioning; and changes in amyloid-positron emission tomography, fluorodeoxyglucose-positron emission tomography, magnetic resonance imaging volumes, and cerebrospinal fluid levels of β amyloid, tau, and p-tau. Safety and tolerability are assessed. RESULTS Two hundred fifty-two participants were enrolled between December 2013 and February 2017. DISCUSSION We describe the first large-scale, potentially label-enabling clinical trial of a preclinical treatment for ADAD. Results from this trial will inform on the efficacy of crenezumab for delaying onset of, slowing decline in, or preventing cognitive impairment in individuals with preclinical ADAD and will foster an improved understanding of AD biomarkers and their relationship to clinical outcomes.
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Affiliation(s)
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | | | - Ronald G. Thomas
- Department of Neurosciences, University of California San Diego School of Medicine, La Jolla, CA, USA
| | | | - Lon S. Schneider
- USC State of California Alzheimer's Disease Research and Clinical Center, Keck Medicine of USC, Los Angeles, CA, USA
| | | | - Margarita Giraldo
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | - Natalia Acosta
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | - Carlos Tobon
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | - Claudia Ramos
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | - Alejandro Espinosa
- Grupo de Neurociencias, Universidad de Antioquia, SIU, Medellín, Colombia
| | - William Cho
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | - Michael Ward
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | - David Clayton
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | | | - Howard Mackey
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | - Lee Honigberg
- Genentech, a Member of the Roche Group, South San Francisco, CA, USA
| | | | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA
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Abstract
This mini-review considers three different approaches to the therapy and prevention of Alzheimer’s disease (AD): replacement therapy, disease modification, and multi-level interventions. Each of these research frameworks has direct implications at the clinical level, leading to an emphasis on different time points of the AD continuum. While all perspectives continue to play an important role in current efforts to reach the ambitious target of an effective therapy or prevention of AD by 2025, it is clear that novel paradigms are needed, including new models of clinical trial design. This goal can only be accomplished by a concerted effort of academia, governmental agencies, and industry.
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Affiliation(s)
- Stefano F Cappa
- Institute for Advanced Studies (IUSS), Pavia, Italy.,IRCCS S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
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46
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Jessen F, Spottke A, Boecker H, Brosseron F, Buerger K, Catak C, Fliessbach K, Franke C, Fuentes M, Heneka MT, Janowitz D, Kilimann I, Laske C, Menne F, Nestor P, Peters O, Priller J, Pross V, Ramirez A, Schneider A, Speck O, Spruth EJ, Teipel S, Vukovich R, Westerteicher C, Wiltfang J, Wolfsgruber S, Wagner M, Düzel E. Design and first baseline data of the DZNE multicenter observational study on predementia Alzheimer's disease (DELCODE). ALZHEIMERS RESEARCH & THERAPY 2018; 10:15. [PMID: 29415768 PMCID: PMC5802096 DOI: 10.1186/s13195-017-0314-2] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 10/04/2017] [Indexed: 11/10/2022]
Abstract
BACKGROUND Deep phenotyping and longitudinal assessment of predementia at-risk states of Alzheimer's disease (AD) are required to define populations and outcomes for dementia prevention trials. Subjective cognitive decline (SCD) is a pre-mild cognitive impairment (pre-MCI) at-risk state of dementia, which emerges as a highly promising target for AD prevention. METHODS The German Center for Neurodegenerative Diseases (DZNE) is conducting the multicenter DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE), which focuses on the characterization of SCD in patients recruited from memory clinics. In addition, individuals with amnestic MCI, mild Alzheimer's dementia patients, first-degree relatives of patients with Alzheimer's dementia, and cognitively unimpaired control subjects are studied. The total number of subjects to be enrolled is 1000. Participants receive extensive clinical and neuropsychological assessments, magnetic resonance imaging, positron emission tomography, and biomaterial collection is perfomed. In this publication, we report cognitive and clinical data as well as apolipoprotein E (APOE) genotype and cerebrospinal fluid (CSF) biomarker results of the first 394 baseline data sets. RESULTS In comparison with the control group, patients with SCD showed slightly poorer performance on cognitive and functional measures (Alzheimer's Disease Assessment Scale-cognitive part, Clinical Dementia Rating, Functional Activities Questionnaire), with all mean scores in a range which would be considered unimpaired. APOE4 genotype was enriched in the SCD group in comparison to what would be expected in the population and the frequency was significantly higher in comparison to the control group. CSF Aβ42 was lower in the SCD group in comparison to the control group at a statistical trend with age as a covariate. There were no group differences in Tau or pTau concentrations between the SCD and the control groups. The differences in all measures between the MCI group and the AD group were as expected. CONCLUSIONS The initial baseline data for DELCODE support the approach of using SCD in patients recruited through memory clinics as an enrichment strategy for late-stage preclinical AD. This is indicated by slightly lower performance in a range of measures in SCD in comparison to the control subjects as well as by enriched APOE4 frequency and lower CSF Aβ42 concentration. TRIAL REGISTRATION German Clinical Trials Register DRKS00007966 . Registered 4 May 2015.
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Affiliation(s)
- Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany. .,Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Straße 62, 50924, Cologne, Germany.
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurology, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Radiology, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Straße 17, 81377, Munich, Germany.,Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Christiana Franke
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Manuel Fuentes
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Feodor-Lynen-Straße 17, 81377, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 23, 72076 Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Calwerstraße 14, 72076 Tübingen, Germany
| | - Felix Menne
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Peter Nestor
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Oliver Peters
- Department of Psychiatry and Psychotherapy, Charité, Hindenburgdamm 30, 12203, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, 10117 Berlin, Germany
| | - Verena Pross
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany
| | - Alfredo Ramirez
- Department of Psychiatry, Medical Faculty, University of Cologne, Kerpener Straße 62, 50924, Cologne, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Eike Jakob Spruth
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Straße 20, 18147, Rostock, Germany.,Department of Psychosomatic Medicine, University of Rostock, Gehlsheimer Straße 20, 18147, Rostock, Germany
| | - Ruth Vukovich
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Straße 5, 37075, Goettingen, Germany
| | - Christine Westerteicher
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Von-Siebold-Straße 5, 37075, Goettingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), 37075 Goettingen, Von-Siebold-Str. 3a, Germany.,iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Sigmund-Freud-Straße 27, 53127, Bonn, Germany.,Department of Neurodegenerative Diseases and Gerontopsychiatry, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.,Department of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
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Livingston G, Sommerlad A, Orgeta V, Costafreda SG, Huntley J, Ames D, Ballard C, Banerjee S, Burns A, Cohen-Mansfield J, Cooper C, Fox N, Gitlin LN, Howard R, Kales HC, Larson EB, Ritchie K, Rockwood K, Sampson EL, Samus Q, Schneider LS, Selbæk G, Teri L, Mukadam N. Dementia prevention, intervention, and care. Lancet 2017; 390:2673-2734. [PMID: 28735855 DOI: 10.1016/s0140-6736(17)31363-6] [Citation(s) in RCA: 3357] [Impact Index Per Article: 479.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 01/20/2017] [Accepted: 01/25/2017] [Indexed: 12/15/2022]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | | | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Jonathan Huntley
- Division of Psychiatry, University College London, London, UK; Department of Old Age Psychiatry, King's College London, London, UK
| | - David Ames
- National Ageing Research Institute, Parkville, VIC, Australia; Academic Unit for Psychiatry of Old Age, University of Melbourne, Kew, VIC, Australia
| | | | - Sube Banerjee
- Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Alistair Burns
- Centre for Dementia Studies, University of Manchester, Manchester, UK
| | - Jiska Cohen-Mansfield
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Heczeg Institute on Aging, Tel Aviv University, Tel Aviv, Israel; Minerva Center for Interdisciplinary Study of End of Life, Tel Aviv University, Tel Aviv, Israel
| | - Claudia Cooper
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Nick Fox
- Dementia Research Centre, University College London, Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK
| | - Laura N Gitlin
- Center for Innovative Care in Aging, Johns Hopkins University, Baltimore, MD, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; VA Center for Clinical Management Research, Ann Arbor, MI, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Karen Ritchie
- Inserm, Unit 1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine Dalhousie University, Halifax, NS, Canada
| | - Elizabeth L Sampson
- Marie Curie Palliative Care Research Department, Division of Psychiatry, University College London, London, UK
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Lon S Schneider
- Department of Neurology and Department of Psychiatry and the Behavioural Sciences, Keck School of Medicine, Leonard Davis School of Gerontology of the University of Southern California, Los Angeles, CA, USA
| | - Geir Selbæk
- Norwegian National Advisory Unit on Aging and Health, Vestfold Health Trust, Tønsberg, Norway; Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway; Centre for Old Age Psychiatric Research, Innlandet Hospital Trust, Ottestad, Norway
| | - Linda Teri
- Department Psychosocial and Community Health, School of Nursing, University of Washington, Seattle, WA, USA
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK
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48
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Zhou J, Liu S, Ng KK, Wang J. Applications of Resting-State Functional Connectivity to Neurodegenerative Disease. Neuroimaging Clin N Am 2017; 27:663-683. [DOI: 10.1016/j.nic.2017.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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49
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Panza F, Seripa D, Lozupone M, Solfrizzi V, Imbimbo BP, Barulli MR, Tortelli R, Capozzo R, Bisceglia P, Dimitri A, Stallone R, Dibello V, Quaranta N, Daniele A, Bellomo A, Greco A, Logroscino G. The potential of solanezumab and gantenerumab to prevent Alzheimer’s disease in people with inherited mutations that cause its early onset. Expert Opin Biol Ther 2017; 18:25-35. [DOI: 10.1080/14712598.2018.1389885] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Affiliation(s)
- Francesco Panza
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
- Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’ at ‘Pia Fondazione Card. G. Panico’, Tricase, Italy
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Davide Seripa
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Madia Lozupone
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Vincenzo Solfrizzi
- Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Bruno P. Imbimbo
- Research & Development Department, Chiesi Farmaceutici, Parma, Italy
| | - Maria Rosaria Barulli
- Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’ at ‘Pia Fondazione Card. G. Panico’, Tricase, Italy
| | - Rosanna Tortelli
- Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’ at ‘Pia Fondazione Card. G. Panico’, Tricase, Italy
| | - Rosa Capozzo
- Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’ at ‘Pia Fondazione Card. G. Panico’, Tricase, Italy
| | - Paola Bisceglia
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Andrea Dimitri
- Psychiatric Unit, Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Roberta Stallone
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Vittorio Dibello
- Interdisciplinary Department of Medicine (DIM), Section of Dentistry, University of Bari Aldo, Moro, Italy
| | - Nicola Quaranta
- Otolaryngology Unit, University of Bari Aldo Moro, Bari, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Antonello Bellomo
- Psychiatric Unit, Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
| | - Antonio Greco
- Geriatric Unit and Gerontology-Geriatrics Research Laboratory, Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Giancarlo Logroscino
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of Bari ‘Aldo Moro’, Bari, Italy
- Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari ‘Aldo Moro’ at ‘Pia Fondazione Card. G. Panico’, Tricase, Italy
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50
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Sun BL, Wang LH, Yang T, Sun JY, Mao LL, Yang MF, Yuan H, Colvin RA, Yang XY. Lymphatic drainage system of the brain: A novel target for intervention of neurological diseases. Prog Neurobiol 2017; 163-164:118-143. [PMID: 28903061 DOI: 10.1016/j.pneurobio.2017.08.007] [Citation(s) in RCA: 139] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Revised: 08/11/2017] [Accepted: 08/31/2017] [Indexed: 12/20/2022]
Abstract
The belief that the vertebrate brain functions normally without classical lymphatic drainage vessels has been held for many decades. On the contrary, new findings show that functional lymphatic drainage does exist in the brain. The brain lymphatic drainage system is composed of basement membrane-based perivascular pathway, a brain-wide glymphatic pathway, and cerebrospinal fluid (CSF) drainage routes including sinus-associated meningeal lymphatic vessels and olfactory/cervical lymphatic routes. The brain lymphatic systems function physiological as a route of drainage for interstitial fluid (ISF) from brain parenchyma to nearby lymph nodes. Brain lymphatic drainage helps maintain water and ion balance of the ISF, waste clearance, and reabsorption of macromolecular solutes. A second physiological function includes communication with the immune system modulating immune surveillance and responses of the brain. These physiological functions are influenced by aging, genetic phenotypes, sleep-wake cycle, and body posture. The impairment and dysfunction of the brain lymphatic system has crucial roles in age-related changes of brain function and the pathogenesis of neurovascular, neurodegenerative, and neuroinflammatory diseases, as well as brain injury and tumors. In this review, we summarize the key component elements (regions, cells, and water transporters) of the brain lymphatic system and their regulators as potential therapeutic targets in the treatment of neurologic diseases and their resulting complications. Finally, we highlight the clinical importance of ependymal route-based targeted gene therapy and intranasal drug administration in the brain by taking advantage of the unique role played by brain lymphatic pathways in the regulation of CSF flow and ISF/CSF exchange.
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Affiliation(s)
- Bao-Liang Sun
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China.
| | - Li-Hua Wang
- Affiliated Hospital of Weifang Medical University, Weifang, Shandong 261031, China
| | - Tuo Yang
- Center of Cerebrovascular Disease Research, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Jing-Yi Sun
- Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Gangwon 220-701, Republic of Korea
| | - Lei-Lei Mao
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Ming-Feng Yang
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Hui Yuan
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China
| | - Robert A Colvin
- Department of Biological Sciences, Interdisciplinary Graduate Program in Molecular and Cellular Biology, Neuroscience Program, Ohio University, Athens, OH 45701, USA
| | - Xiao-Yi Yang
- Key Laboratory of Cerebral Microcirculation in Universities of Shandong (Taishan Medical University), Department of Neurology, Affiliated Hospital of Taishan Medical University, Tai'an, Shandong 271000, China.
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