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Daniels AJ, McDade E, Llibre-Guerra JJ, Xiong C, Perrin RJ, Ibanez L, Supnet-Bell C, Cruchaga C, Goate A, Renton AE, Benzinger TL, Gordon BA, Hassenstab J, Karch C, Popp B, Levey A, Morris J, Buckles V, Allegri RF, Chrem P, Berman SB, Chhatwal JP, Farlow MR, Fox NC, Day GS, Ikeuchi T, Jucker M, Lee JH, Levin J, Lopera F, Takada L, Sosa AL, Martins R, Mori H, Noble JM, Salloway S, Huey E, Rosa-Neto P, Sánchez-Valle R, Schofield PR, Roh JH, Bateman RJ. 15 Years of Longitudinal Genetic, Clinical, Cognitive, Imaging, and Biochemical Measures in DIAN. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.08.24311689. [PMID: 39148846 PMCID: PMC11326320 DOI: 10.1101/2024.08.08.24311689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
This manuscript describes and summarizes the Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs), highlighting the wealth of longitudinal data, samples, and results from this human cohort study of brain aging and a rare monogenic form of Alzheimer's disease (AD). DIAN Obs is an international collaborative longitudinal study initiated in 2008 with support from the National Institute on Aging (NIA), designed to obtain comprehensive and uniform data on brain biology and function in individuals at risk for autosomal dominant AD (ADAD). ADAD gene mutations in the amyloid protein precursor (APP), presenilin 1 (PSEN1), or presenilin 2 (PSEN2) genes are deterministic causes of ADAD, with virtually full penetrance, and a predictable age at symptomatic onset. Data and specimens collected are derived from full clinical assessments, including neurologic and physical examinations, extensive cognitive batteries, structural and functional neuro-imaging, amyloid and tau pathological measures using positron emission tomography (PET), flurordeoxyglucose (FDG) PET, cerebrospinal fluid and blood collection (plasma, serum, and whole blood), extensive genetic and multi-omic analyses, and brain donation upon death. This comprehensive evaluation of the human nervous system is performed longitudinally in both mutation carriers and family non-carriers, providing one of the deepest and broadest evaluations of the human brain across decades and through AD progression. These extensive data sets and samples are available for researchers to address scientific questions on the human brain, aging, and AD.
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Affiliation(s)
- Alisha J. Daniels
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Eric McDade
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | | | - Chengjie Xiong
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Richard J. Perrin
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Laura Ibanez
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | | | - Carlos Cruchaga
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Alison Goate
- Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Alan E. Renton
- Icahn School of Medicine at Mount Sinai, New York, NY USA
| | | | - Brian A. Gordon
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Jason Hassenstab
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Celeste Karch
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Brent Popp
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Allan Levey
- Goizueta Alzheimer’s Disease Research Center, Emory University, Atlanta, GA, USA
| | - John Morris
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | - Virginia Buckles
- Washington University School of Medicine, St Louis, St Louis, MO, USA
| | | | - Patricio Chrem
- Institute of Neurological Research FLENI, Buenos Aires, Argentina
| | | | - Jasmeer P. Chhatwal
- Massachusetts General and Brigham & Women’s Hospitals, Harvard Medical School, Boston MA, USA
| | | | - Nick C. Fox
- UK Dementia Research Institute at University College London, London, United Kingdom
- University College London, London, United Kingdom
| | | | - Takeshi Ikeuchi
- Brain Research Institute, Niigata University, Niigata, Japan
| | - Mathias Jucker
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
- DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany
| | | | - Johannes Levin
- DZNE, German Center for Neurodegenerative Diseases, Munich, Germany
- Ludwig-Maximilians-Universität München, Munich, Germany
| | | | | | - Ana Luisa Sosa
- Instituto Nacional de Neurologia y Neurocirugla Innn, Mexico City, Mexico
| | - Ralph Martins
- Edith Cowan University, Western Australia, Australia
| | | | - James M. Noble
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Department of Neurology, and GH Sergievsky Center, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Edward Huey
- Brown University, Butler Hospital, Providence, RI, USA
| | - Pedro Rosa-Neto
- Centre de Recherche de L’hopital Douglas and McGill University, Montreal, Quebec
| | - Raquel Sánchez-Valle
- Hospital Clínic de Barcelona. IDIBAPS. University of Barcelona, Barcelona, Spain
| | - Peter R. Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jee Hoon Roh
- Korea University, Korea University Anam Hospital, Seoul, South Korea
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Teipel S, Grazia A, Dyrba M, Grothe MJ, Pomara N. Basal forebrain volume and metabolism in carriers of the Colombian mutation for autosomal dominant Alzheimer's disease. Sci Rep 2024; 14:11268. [PMID: 38760448 PMCID: PMC11101449 DOI: 10.1038/s41598-024-60799-9] [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: 01/03/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024] Open
Abstract
We aimed to study atrophy and glucose metabolism of the cholinergic basal forebrain in non-demented mutation carriers for autosomal dominant Alzheimer's disease (ADAD). We determined the level of evidence for or against atrophy and impaired metabolism of the basal forebrain in 167 non-demented carriers of the Colombian PSEN1 E280A mutation and 75 age- and sex-matched non-mutation carriers of the same kindred using a Bayesian analysis framework. We analyzed baseline MRI, amyloid PET, and FDG-PET scans of the Alzheimer's Prevention Initiative ADAD Colombia Trial. We found moderate evidence against an association of carrier status with basal forebrain volume (Bayes factor (BF10) = 0.182). We found moderate evidence against a difference of basal forebrain metabolism (BF10 = 0.167). There was only inconclusive evidence for an association between basal forebrain volume and delayed memory and attention (BF10 = 0.884 and 0.184, respectively), and between basal forebrain volume and global amyloid load (BF10 = 2.1). Our results distinguish PSEN1 E280A mutation carriers from sporadic AD cases in which cholinergic involvement of the basal forebrain is already detectable in the preclinical and prodromal stages. This indicates an important difference between ADAD and sporadic AD in terms of pathogenesis and potential treatment targets.
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Affiliation(s)
- Stefan Teipel
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany.
- Department of Psychosomatic Medicine, University Medicine Rostock, Gehlsheimer Str. 20, 18147, Rostock, Germany.
| | - Alice Grazia
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Martin Dyrba
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Gehlsheimer Str. 20, 18147, Rostock, Germany
| | - Michel J Grothe
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Nunzio Pomara
- Geriatric Psychiatry Division, Nathan Kline Institute/Department of Psychiatry and Pathology, NYU Grossman School of Medicine, Orangeburg, NY, USA
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Homanics GE, Park JE, Bailey L, Schaeffer DJ, Schaeffer L, He J, Li S, Zhang T, Haber A, Spruce C, Greenwood A, Murai T, Schultz L, Mongeau L, Ha S, Oluoch J, Stein B, Choi SH, Huhe H, Thathiah A, Strick PL, Carter GW, Silva AC, Sukoff Rizzo SJ. Early molecular events of autosomal-dominant Alzheimer's disease in marmosets with PSEN1 mutations. Alzheimers Dement 2024; 20:3455-3471. [PMID: 38574388 PMCID: PMC11095452 DOI: 10.1002/alz.13806] [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: 11/15/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Fundamental questions remain about the key mechanisms that initiate Alzheimer's disease (AD) and the factors that promote its progression. Here we report the successful generation of the first genetically engineered marmosets that carry knock-in (KI) point mutations in the presenilin 1 (PSEN1) gene that can be studied from birth throughout lifespan. METHODS CRISPR/Cas9 was used to generate marmosets with C410Y or A426P point mutations in PSEN1. Founders and their germline offspring are comprehensively studied longitudinally using non-invasive measures including behavior, biomarkers, neuroimaging, and multiomics signatures. RESULTS Prior to adulthood, increases in plasma amyloid beta were observed in PSEN1 mutation carriers relative to non-carriers. Analysis of brain revealed alterations in several enzyme-substrate interactions within the gamma secretase complex prior to adulthood. DISCUSSION Marmosets carrying KI point mutations in PSEN1 provide the opportunity to study the earliest primate-specific mechanisms that contribute to the molecular and cellular root causes of AD onset and progression. HIGHLIGHTS We report the successful generation of genetically engineered marmosets harboring knock-in point mutations in the PSEN1 gene. PSEN1 marmosets and their germline offspring recapitulate the early emergence of AD-related biomarkers. Studies as early in life as possible in PSEN1 marmosets will enable the identification of primate-specific mechanisms that drive disease progression.
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Affiliation(s)
- Gregg E. Homanics
- Department of Anesthesiology & Perioperative MedicineUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Jung Eun Park
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Lauren Bailey
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - David J. Schaeffer
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Lauren Schaeffer
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Jie He
- Department of StatisticsUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Shuoran Li
- Department of StatisticsUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Tingting Zhang
- Department of StatisticsUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | | | | | - Takeshi Murai
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Laura Schultz
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Lauren Mongeau
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Seung‐Kwon Ha
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Julia Oluoch
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Brianne Stein
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Sang Ho Choi
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Hasi Huhe
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Amantha Thathiah
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Peter L. Strick
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | - Afonso C. Silva
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Stacey J. Sukoff Rizzo
- Department of NeurobiologyUniversity of Pittsburgh Brain InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
- Department of MedicineUniversity of Pittsburgh Aging Institute, University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
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Vanova T, Sedmik J, Raska J, Amruz Cerna K, Taus P, Pospisilova V, Nezvedova M, Fedorova V, Kadakova S, Klimova H, Capandova M, Orviska P, Fojtik P, Bartova S, Plevova K, Spacil Z, Hribkova H, Bohaciakova D. Cerebral organoids derived from patients with Alzheimer's disease with PSEN1/2 mutations have defective tissue patterning and altered development. Cell Rep 2023; 42:113310. [PMID: 37864790 DOI: 10.1016/j.celrep.2023.113310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/09/2023] [Accepted: 10/04/2023] [Indexed: 10/23/2023] Open
Abstract
During the past two decades, induced pluripotent stem cells (iPSCs) have been widely used to study human neural development and disease. Especially in the field of Alzheimer's disease (AD), remarkable effort has been put into investigating molecular mechanisms behind this disease. Then, with the advent of 3D neuronal cultures and cerebral organoids (COs), several studies have demonstrated that this model can adequately mimic familial and sporadic AD. Therefore, we created an AD-CO model using iPSCs derived from patients with familial AD forms and explored early events and the progression of AD pathogenesis. Our study demonstrated that COs derived from three AD-iPSC lines with PSEN1(A246E) or PSEN2(N141I) mutations developed the AD-specific markers in vitro, yet they also uncover tissue patterning defects and altered development. These findings are complemented by single-cell sequencing data confirming this observation and uncovering that neurons in AD-COs likely differentiate prematurely.
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Affiliation(s)
- Tereza Vanova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Jiri Sedmik
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Jan Raska
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Katerina Amruz Cerna
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petr Taus
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic
| | - Veronika Pospisilova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Marketa Nezvedova
- RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
| | - Veronika Fedorova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Sona Kadakova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Hana Klimova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Michaela Capandova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petra Orviska
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Petr Fojtik
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic
| | - Simona Bartova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Karla Plevova
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic; Institute of Medical Genetics and Genomics, University Hospital Brno and Faculty of Medicine, Masaryk University, 61300 Brno, Czech Republic
| | - Zdenek Spacil
- RECETOX, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic
| | - Hana Hribkova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Dasa Bohaciakova
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic; International Clinical Research Center (ICRC), St. Anne's University Hospital, 60200 Brno, Czech Republic.
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Pais MV, Kuo C, Ances BM, Wetherell JL, Lenze EJ, Diniz BS. Relationship between baseline plasma p-tau181 and longitudinal changes in cognition and structural brain measures in a cohort of cognitively unimpaired older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12487. [PMID: 37954547 PMCID: PMC10634375 DOI: 10.1002/dad2.12487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/22/2023] [Indexed: 11/14/2023]
Abstract
INTRODUCTION Preclinical Alzheimer's disease (AD) affects a significant proportion of cognitively unimpaired (CU) older adults. Currently, blood-based biomarkers detect very early changes in the AD continuum with great accuracy. METHODS We measured baseline plasma phosphorylated tau (p-tau)181 using electrochemiluminescence (ECL)-based assay (MesoScale Discovery) in 533 CU older adults. Follow-up lasted up to 18 months. Cognitive performance assessment included memory and cognitive control. Structural brain measures included cortical thickness, which includes the AD magnetic resonance imaging (AD MRI) signature, and hippocampal volume. RESULTS In this cohort of CU older adults, baseline plasma p-tau181 levels were not associated with short-term changes in cognition and structural brain measures. Also, baseline plasma p-tau levels did not influence the effects of behavioral interventions (exercise or mindfulness) on cognitive and structural brain changes. DISCUSSION The short follow-up and healthy status of this CU cohort might have limited the sensitivity of plasma p-tau181 in detecting changes associated with AD pathology.
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Affiliation(s)
- Marcos V. Pais
- UConn Center on AgingUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
- Laboratory of Neuroscience (LIM‐27)Departamento e Instituto de PsiquiatriaFaculdade de Medicina, Universidade de Sao Paulo (FMUSP)Sao PauloBrazil
| | - Chia‐Ling Kuo
- Department of Public Health SciencesUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
| | - Beau M. Ances
- Department of NeurologyWashington University School of MedicineSt. LouisMissouriUSA
| | | | - Eric J. Lenze
- Healthy Mind Lab, Department of PsychiatryWashington University School of MedicineSt. LouisMissouriUSA
| | - Breno S. Diniz
- UConn Center on AgingUniversity of Connecticut Health CenterFarmingtonConnecticutUSA
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Harrison JR, Foley SF, Baker E, Bracher-Smith M, Holmans P, Stergiakouli E, Linden DEJ, Caseras X, Jones DK, Escott-Price V. Pathway-specific polygenic scores for Alzheimer's disease are associated with changes in brain structure in younger and older adults. Brain Commun 2023; 5:fcad229. [PMID: 37744023 PMCID: PMC10517196 DOI: 10.1093/braincomms/fcad229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/17/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Genome-wide association studies have identified multiple Alzheimer's disease risk loci with small effect sizes. Polygenic risk scores, which aggregate these variants, are associated with grey matter structural changes. However, genome-wide scores do not allow mechanistic interpretations. The present study explored associations between disease pathway-specific scores and grey matter structure in younger and older adults. Data from two separate population cohorts were used as follows: the Avon Longitudinal Study of Parents and Children, mean age 19.8, and UK Biobank, mean age 64.4 (combined n = 18 689). Alzheimer's polygenic risk scores were computed using the largest genome-wide association study of clinically assessed Alzheimer's to date. Relationships between subcortical volumes and cortical thickness, pathway-specific scores and genome-wide scores were examined. Increased pathway-specific scores were associated with reduced cortical thickness in both the younger and older cohorts. For example, the reverse cholesterol transport pathway score showed evidence of association with lower left middle temporal cortex thickness in the younger Avon participants (P = 0.034; beta = -0.013, CI -0.025, -0.001) and in the older UK Biobank participants (P = 0.019; beta = -0.003, CI -0.005, -4.56 × 10-4). Pathway scores were associated with smaller subcortical volumes, such as smaller hippocampal volume, in UK Biobank older adults. There was also evidence of positive association between subcortical volumes in Avon younger adults. For example, the tau protein-binding pathway score was negatively associated with left hippocampal volume in UK Biobank (P = 8.35 × 10-05; beta = -11.392, CI -17.066, -5.718) and positively associated with hippocampal volume in the Avon study (P = 0.040; beta = 51.952, CI 2.445, 101.460). The immune response score had a distinct pattern of association, being only associated with reduced thickness in the right posterior cingulate in older and younger adults (P = 0.011; beta = -0.003, CI -0.005, -0.001 in UK Biobank; P = 0.034; beta = -0.016, CI -0.031, -0.001 in the Avon study). The immune response score was associated with smaller subcortical volumes in the older adults, but not younger adults. The disease pathway scores showed greater evidence of association with imaging phenotypes than the genome-wide score. This suggests that pathway-specific polygenic methods may allow progress towards a mechanistic understanding of structural changes linked to polygenic risk in pre-clinical Alzheimer's disease. Pathway-specific profiling could further define pathophysiology in individuals, moving towards precision medicine in Alzheimer's disease.
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Affiliation(s)
- Judith R Harrison
- Institute of Neuroscience, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
| | - Emily Baker
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Matthew Bracher-Smith
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Evie Stergiakouli
- Bristol Population Health Science Institute, Bristol University, Oakfield House, Bristol, BS8 2BN, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
| | - David E J Linden
- School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, The Netherlands
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, CF24 4HQ, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, 5/215 Spring St, Melbourne, VIC 3000, Australia
| | - Valentina Escott-Price
- Dementia Research Institute & MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
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Hurley EM, Mozolewski P, Dobrowolski R, Hsieh J. Familial Alzheimer's disease-associated PSEN1 mutations affect neurodevelopment through increased Notch signaling. Stem Cell Reports 2023; 18:1516-1533. [PMID: 37352850 PMCID: PMC10362499 DOI: 10.1016/j.stemcr.2023.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/25/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder, but its root cause may lie in neurodevelopment. PSEN1 mutations cause the majority of familial AD, potentially by disrupting proper Notch signaling, causing early unnoticed cellular changes that affect later AD progression. While rodent models are useful for modeling later stages of AD, human induced pluripotent stem cell-derived cortical spheroids (hCSs) allow access to studying the human cortex at the cellular level over the course of development. Here, we show that the PSEN1 L435F heterozygous mutation affects hCS development, increasing size, increasing progenitors, and decreasing post-mitotic neurons as a result of increased Notch target gene expression during early hCS development. We also show altered Aβ expression and neuronal activity at later hCS stages. These results contrast previous findings, showing how individual PSEN1 mutations may differentially affect neurodevelopment and may give insight into fAD progression to provide earlier time points for more effective treatments.
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Affiliation(s)
- Erin M Hurley
- Department of Neuroscience, Developmental and Regenerative Biology, The University of Texas San Antonio, San Antonio, TX 78249, USA; Brain Health Consortium, The University of Texas San Antonio, San Antonio, TX 78249, USA
| | - Pawel Mozolewski
- Department of Biological Sciences, Rutgers University, Newark, NJ 07102, USA
| | - Radek Dobrowolski
- Department of Biological Sciences, Rutgers University, Newark, NJ 07102, USA; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health, San Antonio, TX 78229, USA
| | - Jenny Hsieh
- Department of Neuroscience, Developmental and Regenerative Biology, The University of Texas San Antonio, San Antonio, TX 78249, USA; Brain Health Consortium, The University of Texas San Antonio, San Antonio, TX 78249, USA.
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Sukoff Rizzo SJ, Homanics G, Schaeffer DJ, Schaeffer L, Park JE, Oluoch J, Zhang T, Haber A, Seyfried NT, Paten B, Greenwood A, Murai T, Choi SH, Huhe H, Kofler J, Strick PL, Carter GW, Silva AC. Bridging the rodent to human translational gap: Marmosets as model systems for the study of Alzheimer's disease. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2023; 9:e12417. [PMID: 37614242 PMCID: PMC10442521 DOI: 10.1002/trc2.12417] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/21/2023] [Accepted: 07/31/2023] [Indexed: 08/25/2023]
Abstract
Introduction Our limited understanding of the mechanisms that trigger the emergence of Alzheimer's disease (AD) has contributed to the lack of interventions that stop, prevent, or fully treat this disease. We believe that the development of a non-human primate model of AD will be an essential step toward overcoming limitations of other model systems and is crucial for investigating primate-specific mechanisms underlying the cellular and molecular root causes of the pathogenesis and progression of AD. Methods A new consortium has been established with funding support from the National Institute on Aging aimed at the generation, characterization, and validation of Marmosets As Research Models of AD (MARMO-AD). This consortium will study gene-edited marmoset models carrying genetic risk for AD and wild-type genetically diverse aging marmosets from birth throughout their lifespan, using non-invasive longitudinal assessments. These include characterizing the genetic, molecular, functional, behavioral, cognitive, and pathological features of aging and AD. Results The consortium successfully generated viable founders carrying PSEN1 mutations in C410Y and A426P using CRISPR/Cas9 approaches, with germline transmission demonstrated in the C410Y line. Longitudinal characterization of these models, their germline offspring, and normal aging outbred marmosets is ongoing. All data and resources from this consortium will be shared with the greater AD research community. Discussion By establishing marmoset models of AD, we will be able to investigate primate-specific cellular and molecular root causes that underlie the pathogenesis and progression of AD, overcome limitations of other model organisms, and support future translational studies to accelerate the pace of bringing therapies to patients.
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Affiliation(s)
| | - Gregg Homanics
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | - Lauren Schaeffer
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Jung Eun Park
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Julia Oluoch
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Tingting Zhang
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | | | - Benedict Paten
- University of California Santa Cruz Genomics InstituteUniversity of California Santa CruzSanta CruzCaliforniaUSA
| | | | - Takeshi Murai
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Sang Ho Choi
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Hasi Huhe
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Julia Kofler
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Peter L. Strick
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | - Afonso C. Silva
- University of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
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9
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Pini L, Salvalaggio A, Wennberg AM, Dimakou A, Matteoli M, Corbetta M. The pollutome-connectome axis: a putative mechanism to explain pollution effects on neurodegeneration. Ageing Res Rev 2023; 86:101867. [PMID: 36720351 DOI: 10.1016/j.arr.2023.101867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 01/17/2023] [Accepted: 01/26/2023] [Indexed: 01/29/2023]
Abstract
The study of pollutant effects is extremely important to address the epochal challenges we are facing, where world populations are increasingly moving from rural to urban centers, revolutionizing our world into an urban world. These transformations will exacerbate pollution, thus highlighting the necessity to unravel its effect on human health. Epidemiological studies have reported that pollution increases the risk of neurological diseases, with growing evidence on the risk of neurodegenerative disorders. Air pollution and water pollutants are the main chemicals driving this risk. These chemicals can promote inflammation, acting in synergy with genotype vulnerability. However, the biological underpinnings of this association are unknown. In this review, we focus on the link between pollution and brain network connectivity at the macro-scale level. We provide an updated overview of epidemiological findings and studies investigating brain network changes associated with pollution exposure, and discuss the mechanistic insights of pollution-induced brain changes through neural networks. We explain, in detail, the pollutome-connectome axis that might provide the functional substrate for pollution-induced processes leading to cognitive impairment and neurodegeneration. We describe this model within the framework of two pollutants, air pollution, a widely recognized threat, and polyfluoroalkyl substances, a large class of synthetic chemicals which are currently emerging as new neurotoxic source.
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Affiliation(s)
- Lorenzo Pini
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy; Venetian Institute of Molecular Medicine, VIMM, Padova, Italy.
| | | | - Alexandra M Wennberg
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anastasia Dimakou
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy
| | - Michela Matteoli
- Neuro Center, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milano, Italy; CNR Institute of Neuroscience, Milano, Italy
| | - Maurizio Corbetta
- Department of Neuroscience and Padova Neuroscience Center, University of Padova, Italy; Venetian Institute of Molecular Medicine, VIMM, Padova, Italy
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10
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Essers E, Binter AC, Neumann A, White T, Alemany S, Guxens M. Air pollution exposure during pregnancy and childhood, APOE ε4 status and Alzheimer polygenic risk score, and brain structural morphology in preadolescents. ENVIRONMENTAL RESEARCH 2023; 216:114595. [PMID: 36257450 DOI: 10.1016/j.envres.2022.114595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 09/27/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Air pollution exposure is associated with impaired neurodevelopment, altered structural brain morphology in children, and neurodegenerative disorders. Differential susceptibility to air pollution may be influenced by genetic features. OBJECTIVES To evaluate whether the apolipoprotein E (APOE) genotype or the polygenic risk score (PRS) for Alzheimer's Disease (AD) modify the association between air pollution exposure during pregnancy and childhood and structural brain morphology in preadolescents. METHODS We included 1186 children from the Generation R Study. Concentrations of fourteen air pollutants were calculated at participants' home addresses during pregnancy and childhood using land-use-regression models. Structural brain images were collected at age 9-12 years to assess cortical and subcortical brain volumes. APOE status and PRS for AD were examined as genetic modifiers. Linear regression models were used to conduct single-pollutant and multi-pollutant (using the Deletion/Substitution/Addition algorithm) analyses with a two-way interaction between air pollution and each genetic modifier. RESULTS Higher pregnancy coarse particulate matter (PMcoarse) and childhood polycyclic aromatic hydrocarbons exposure was differentially associated with larger cerebral white matter volume in APOE ε4 carriers compared to non-carriers (29,485 mm3 (95% CI 6,189; 52,781) and 18,663 mm3 (469; 36,856), respectively). Higher pregnancy PMcoarse exposure was differentially associated with larger cortical grey matter volume in children with higher compared to lower PRS for AD (19436 mm3 (825, 38,046)). DISCUSSION APOE status and PRS for AD possibly modify the association between air pollution exposure and brain structural morphology in preadolescents. Higher air pollution exposure is associated with larger cortical volumes in APOE ε4 carriers and children with a high PRS for AD. This is in line with typical brain development, suggesting an antagonistic pleiotropic effect of these genetic features (i.e., protective effect in early-life, but neurodegenerative effect in adulthood). However, we cannot discard chance findings. Future studies should evaluate trajectorial brain development using a longitudinal design.
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Affiliation(s)
- Esmée Essers
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
| | - Anne-Claire Binter
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands.
| | - Silvia Alemany
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d'Hebron Research Institute, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
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11
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Pini L. Brain network modulation in Alzheimer's disease: clinical phenotypes and windows of opportunity. Neural Regen Res 2023; 18:115-116. [PMID: 35799521 PMCID: PMC9241393 DOI: 10.4103/1673-5374.340410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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12
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Kawabata S. Signaling abnormality leading to excessive/aberrant synaptic plasticity in Alzheimer's disease. Front Aging Neurosci 2022; 14:1062519. [DOI: 10.3389/fnagi.2022.1062519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022] Open
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13
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Huang LC, Chen MH, Chuu CP, Li KY, Hour TC, Yang YH. Plasma biomarkers and their correlation in adult children of parents with Alzheimer’s disease. Front Aging Neurosci 2022; 14:977515. [PMID: 36110426 PMCID: PMC9468332 DOI: 10.3389/fnagi.2022.977515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/02/2022] [Indexed: 11/22/2022] Open
Abstract
Family history (FH) of late-onset Alzheimer’s disease (AD) is associated with changes in several cerebrospinal fluid (CSF) biomarkers in cognitively normal individuals. However, potential changes in plasma biomarkers remain unknown. This study aimed to evaluate potential plasma biomarkers and their correlation in cognitively normal adult children (AC) and to compare this data with their AD parents and unrelated non-demented controls (NC). Participants with dementia due to AD, their AC and NC were recruited. Plasma samples were assessed for amyloid beta (Aβ)1–42, Aβ1–40, total tau (T-tau) and phosphorylated tau (P-tau). Kruskal–Wallis test was used for the comparison of this data between the three groups. Spearman rank correlation was used for evaluation of the correlations between Aβ1–40 and Aβ1–42, and T-tau and P-tau in the AD and AC groups. A total of 99 subjects completed the assessment (30 had AD; 38 were AC group; and 31 were NC). Compared with the NC group, there were significantly higher levels of Aβ1–40, P-tau, and P-tau/T-tau ratio, and lower levels of Aβ1–42 and Aβ1–42/Aβ1–40 ratio in the AD and AC groups. The correlation between the level of Aβ1–42 and Aβ1–40 and level of T-tau and P-tau was only observed in the AC but not in the AD group. AC of AD parents demonstrate some indicators of AD like their parents. Disruption to the correlation between Aβ and tau in AD may be a biomarker for the development of AD in AC, which should be examined in a longitudinal cohort.
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Affiliation(s)
- Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ming-Hui Chen
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chih-Pin Chuu
- Institute of Cellular and System Medicine, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
| | - Tzyh-Chyuan Hour
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Biochemistry, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
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14
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Qiu Q. Neural Networks in Autosomal Dominant Alzheimer’s Disease: Insights From Functional Magnetic Resonance Imaging Studies. Front Aging Neurosci 2022; 14:903269. [PMID: 35928996 PMCID: PMC9343946 DOI: 10.3389/fnagi.2022.903269] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/03/2022] [Indexed: 11/13/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common form of dementia, with no cure to stop its progression. Early detection, diagnosis, and intervention have become the hot spots in AD research. The long asymptomatic and slightly symptomatic phases of autosomal dominant AD (ADAD) allow studies to explore early biomarkers and the underlying pathophysiological changes. Functional magnetic resonance imaging (fMRI) provides a method to detect abnormal patterns of brain activity and functional connectivity in vivo, which correlates with cognitive decline earlier than structural changes and more strongly than amyloid deposition. Here, we will provide a brief overview of the network-level findings in ADAD in fMRI studies. In general, abnormalities in brain activity were mainly found in the hippocampus, the medial temporal lobe (MTL), the posterior cortex, the cingulate cortices, and the frontal regions in ADAD. Moreover, ADAD and sporadic AD (SAD) have similar fMRI changes, but not with aging.
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Affiliation(s)
- Qiongqiong Qiu
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, National Clinical Research Center for Geriatric Disorders, Beijing, China
- *Correspondence: Qiongqiong Qiu,
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15
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Kawabata S. Excessive/Aberrant and Maladaptive Synaptic Plasticity: A Hypothesis for the Pathogenesis of Alzheimer’s Disease. Front Aging Neurosci 2022; 14:913693. [PMID: 35865745 PMCID: PMC9294348 DOI: 10.3389/fnagi.2022.913693] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/08/2022] [Indexed: 01/01/2023] Open
Abstract
The amyloid hypothesis for the pathogenesis of Alzheimer’s disease (AD) is widely accepted. Last year, the US Food and Drug Administration considered amyloid-β peptide (Aβ) as a surrogate biomarker and approved an anti-Aβ antibody, aducanumab, although its effectiveness in slowing the progression of AD is still uncertain. This approval has caused a great deal of controversy. Opinions are divided about whether there is enough evidence to definitely consider Aβ as a causative substance of AD. To develop this discussion constructively and to discover the most suitable therapeutic interventions in the end, an alternative persuasive hypothesis needs to emerge to better explain the facts. In this paper, I propose a hypothesis that excessive/aberrant and maladaptive synaptic plasticity is the pathophysiological basis for AD.
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16
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Smith KM, Starr JM, Escudero J, Ibañez A, Parra MA. Abnormal Functional Hierarchies of EEG Networks in Familial and Sporadic Prodromal Alzheimer's Disease During Visual Short-Term Memory Binding. FRONTIERS IN NEUROIMAGING 2022; 1:883968. [PMID: 37555153 PMCID: PMC10406202 DOI: 10.3389/fnimg.2022.883968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/16/2022] [Indexed: 08/10/2023]
Abstract
Alzheimer's Disease (AD) shows both complex alterations of functional dependencies between brain regions and a decreased ability to perform Visual Short-Term Memory Binding (VSTMB) tasks. Recent advances in network neuroscience toward understanding the complexity of hierarchical brain function here enables us to establish a link between these two phenomena. Here, we study data on two types of dementia at Mild Cognitive Impairment (MCI) stage-familial AD patients (E280A mutation of the presenilin-1 gene) and elderly MCI patients at high risk of sporadic AD, both with age-matched controls. We analyzed Electroencephalogram (EEG) signals recorded during the performance of Visual Short-Term Memory (VSTM) tasks by these participants. Functional connectivity was computed using the phase-lag index in Alpha and Beta; and network analysis was employed using network indices of hierarchical spread (degree variance) and complexity. Hierarchical characteristics of EEG functional connectivity networks revealed abnormal patterns in familial MCI VSTMB function and sporadic MCI VSTMB function. The middle-aged familial MCI binding network displayed a larger degree variance in lower Beta compared to healthy controls (p = 0.0051, Cohen's d = 1.0124), while the elderly sporadic MCI binding network displayed greater hierarchical complexity in Alpha (p = 0.0140, Cohen's d = 1.1627). Characteristics in healthy aging were not shown to differ. These results indicate that activity in MCI exhibits cross-frequency network reorganization characterized by increased heterogeneity of node roles in the functional hierarchy. Aging itself is not found to cause VSTM functional hierarchy differences.
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Affiliation(s)
- Keith M. Smith
- Department of Physics and Mathematics, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | - John M. Starr
- Alzheimer Scotland Dementia Research Centre, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Javier Escudero
- School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, United Kingdom
| | - Agustin Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, UCSF, San Francisco, CA, United States
- Trinity College Institute of Neuroscience, Trintity College Dublin, Dublin, Ireland
| | - Mario A. Parra
- Trinity College Institute of Neuroscience, Trintity College Dublin, Dublin, Ireland
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
- Neuroprogressive and Dementia Network, NHS Scotland, Glasgow, United Kingdom
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17
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Guzmán-Vélez E, Diez I, Schoemaker D, Pardilla-Delgado E, Vila-Castelar C, Fox-Fuller JT, Baena A, Sperling RA, Johnson KA, Lopera F, Sepulcre J, Quiroz YT. Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer's disease. Proc Natl Acad Sci U S A 2022; 119:e2113641119. [PMID: 35380901 PMCID: PMC9169643 DOI: 10.1073/pnas.2113641119] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 02/28/2022] [Indexed: 12/21/2022] Open
Abstract
The human brain is composed of functional networks that have a modular topology, where brain regions are organized into communities that form internally dense (segregated) and externally sparse (integrated) subnetworks that underlie higher-order cognitive functioning. It is hypothesized that amyloid-β and tau pathology in preclinical Alzheimer’s disease (AD) spread through functional networks, disrupting neural communication that results in cognitive dysfunction. We used high-resolution (voxel-level) graph-based network analyses to test whether in vivo amyloid-β and tau burden was associated with the segregation and integration of brain functional connections, and episodic memory, in cognitively unimpaired Presenilin-1 E280A carriers who are expected to develop early-onset AD dementia in ∼13 y on average. Compared to noncarriers, mutation carriers exhibited less functional segregation and integration in posterior default-mode network (DMN) regions, particularly the precuneus, and in the retrospenial cortex, which has been shown to link medial temporal regions and cortical regions of the DMN. Mutation carriers also showed greater functional segregation and integration in regions connected to the salience network, including the striatum and thalamus. Greater tau burden was associated with lower segregated and integrated functional connectivity of DMN regions, particularly the precuneus and medial prefrontal cortex. In turn, greater tau pathology was related to higher segregated and integrated functional connectivity in the retrospenial cortex and the anterior cingulate cortex, a hub of the salience network. These findings enlighten our understanding of how AD-related pathology distinctly alters the brain’s functional architecture in the preclinical stage, possibly contributing to pathology propagation and ultimately resulting in dementia.
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Affiliation(s)
- Edmarie Guzmán-Vélez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
| | - Ibai Diez
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129
| | - Dorothee Schoemaker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
| | - Enmanuelle Pardilla-Delgado
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115
| | - Clara Vila-Castelar
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
| | - Joshua T. Fox-Fuller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Department of Psychological and Brain Sciences, Boston University, Boston, MA 02215
| | - Ana Baena
- Grupo de Neurociencias, Universidad de Antioquia, 050010 Medellín, Antioquia, Colombia
| | - Reisa A. Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115
| | - Keith A. Johnson
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115
| | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, 050010 Medellín, Antioquia, Colombia
| | - Jorge Sepulcre
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129
| | - Yakeel T. Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129
- Grupo de Neurociencias, Universidad de Antioquia, 050010 Medellín, Antioquia, Colombia
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
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18
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García Pretelt FJ, Suárez Relevo JX, Aguillón D, Lopera F, Ochoa JF, Tobón Quintero CA. Automatic Classification of Subjects of the PSEN1-E280A Family at Risk of Developing Alzheimer’s Disease Using Machine Learning and Resting State Electroencephalography. J Alzheimers Dis 2022; 87:817-832. [DOI: 10.3233/jad-210148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The study of genetic variant carriers provides an opportunity to identify neurophysiological changes in preclinical stages. Electroencephalography (EEG) is a low-cost and minimally invasive technique which, together with machine learning, provide the possibility to construct systems that classify subjects that might develop Alzheimer’s disease (AD). Objective: The aim of this paper is to evaluate the capacity of the machine learning techniques to classify healthy Non-Carriers (NonCr) from Asymptomatic Carriers (ACr) of PSEN1-E280A variant for autosomal dominant Alzheimer’s disease (ADAD), using spectral features from EEG channels and brain-related independent components (ICs) obtained using independent component analysis (ICA). Methods: EEG was recorded in 27 ACr and 33 NonCr. Statistical significance analysis was applied to spectral information from channels and group ICA (gICA), standardized low-resolution tomography (sLORETA) analysis was applied over the IC as well. Strategies for feature selection and classification like Chi-square, mutual informationm and support vector machines (SVM) were evaluated over the dataset. Results: A test accuracy up to 83% was obtained by implementing a SVM with spectral features derived from gICA. The main findings are related to theta and beta rhythms, generated in the parietal and occipital regions, like the precuneus and superior parietal lobule. Conclusion: Promising models for classification of preclinical AD due to PSEN-1-E280A variant can be trained using spectral features, and the importance of the beta band and precuneus region is highlighted in asymptomatic stages, opening up the possibility of its use as a screening methodology.
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Affiliation(s)
- Francisco J. García Pretelt
- Bioinstrumentation and Clinical Engineering Research Group (GIBIC), Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
- Neuropsychology and Behavior Group (GRUNECO), Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Jazmín X. Suárez Relevo
- Bioinstrumentation and Clinical Engineering Research Group (GIBIC), Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
- Neuropsychology and Behavior Group (GRUNECO), Medical School, Universidad de Antioquia, Medellín, Colombia
| | - David Aguillón
- Neuroscience Group of Antioquia (GNA), Medical School, Universidad de Antioquia, Medellín, Colombia
- Neuropsychology and Behavior Group (GRUNECO), Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Neuroscience Group of Antioquia (GNA), Medical School, Universidad de Antioquia, Medellín, Colombia
| | - John Fredy Ochoa
- Bioinstrumentation and Clinical Engineering Research Group (GIBIC), Bioengineering Program, Universidad de Antioquia, Medellín, Colombia
- Neuropsychology and Behavior Group (GRUNECO), Medical School, Universidad de Antioquia, Medellín, Colombia
| | - Carlos A. Tobón Quintero
- Neuroscience Group of Antioquia (GNA), Medical School, Universidad de Antioquia, Medellín, Colombia
- Neuropsychology and Behavior Group (GRUNECO), Medical School, Universidad de Antioquia, Medellín, Colombia
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Van der Linden A, Hoehn M. Monitoring Neuronal Network Disturbances of Brain Diseases: A Preclinical MRI Approach in the Rodent Brain. Front Cell Neurosci 2022; 15:815552. [PMID: 35046778 PMCID: PMC8761853 DOI: 10.3389/fncel.2021.815552] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/06/2021] [Indexed: 12/20/2022] Open
Abstract
Functional and structural neuronal networks, as recorded by resting-state functional MRI and diffusion MRI-based tractography, gain increasing attention as data driven whole brain imaging methods not limited to the foci of the primary pathology or the known key affected regions but permitting to characterize the entire network response of the brain after disease or injury. Their connectome contents thus provide information on distal brain areas, directly or indirectly affected by and interacting with the primary pathological event or affected regions. From such information, a better understanding of the dynamics of disease progression is expected. Furthermore, observation of the brain's spontaneous or treatment-induced improvement will contribute to unravel the underlying mechanisms of plasticity and recovery across the whole-brain networks. In the present review, we discuss the values of functional and structural network information derived from systematic and controlled experimentation using clinically relevant animal models. We focus on rodent models of the cerebral diseases with high impact on social burdens, namely, neurodegeneration, and stroke.
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Affiliation(s)
- Annemie Van der Linden
- Bio-Imaging Lab, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
- μNEURO Research Centre of Excellence, University of Antwerp, Antwerp, Belgium
| | - Mathias Hoehn
- Research Center Jülich, Institute 3 for Neuroscience and Medicine, Jülich, Germany
- *Correspondence: Mathias Hoehn
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Rujeedawa T, Carrillo Félez E, Clare ICH, Fortea J, Strydom A, Rebillat AS, Coppus A, Levin J, Zaman SH. The Clinical and Neuropathological Features of Sporadic (Late-Onset) and Genetic Forms of Alzheimer's Disease. J Clin Med 2021; 10:4582. [PMID: 34640600 PMCID: PMC8509365 DOI: 10.3390/jcm10194582] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/27/2021] [Accepted: 09/28/2021] [Indexed: 12/17/2022] Open
Abstract
The purpose of this review is to compare and highlight the clinical and pathological aspects of genetic versus acquired Alzheimer's disease: Down syndrome-associated Alzheimer's disease in (DSAD) and Autosomal Dominant Alzheimer's disease (ADAD) are compared with the late-onset form of the disease (LOAD). DSAD and ADAD present in a younger population and are more likely to manifest with non-amnestic (such as dysexecutive function features) in the prodromal phase or neurological features (such as seizures and paralysis) especially in ADAD. The very large variety of mutations associated with ADAD explains the wider range of phenotypes. In the LOAD, age-associated comorbidities explain many of the phenotypic differences.
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Affiliation(s)
- Tanzil Rujeedawa
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
| | - Eva Carrillo Félez
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
| | - Isabel C. H. Clare
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
- Cambridgeshire and Peterborough Foundation NHS Trust, Fulbourn CB21 5EF, UK
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain;
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
- Barcelona Down Medical Center, Fundació Catalana Síndrome de Down, 08029 Barcelona, Spain
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK;
- South London and the Maudsley NHS Foundation Trust, The LonDowns Consortium, London SE5 8AZ, UK
| | | | - Antonia Coppus
- Department for Primary and Community Care, Department of Primary and Community Care (149 ELG), Radboud University Nijmegen Medical Center, P.O. Box 9101, 6525 GA Nijmegen, The Netherlands;
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, 80539 Munich, Germany;
- German Center for Neurodegenerative Diseases, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Shahid H. Zaman
- Cambridge Intellectual & Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge CB2 8PQ, UK; (T.R.); (E.C.F.); (I.C.H.C.)
- Cambridgeshire and Peterborough Foundation NHS Trust, Fulbourn CB21 5EF, UK
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Cortical thickness is differently associated with ALDH2 rs671 polymorphism according to level of amyloid deposition. Sci Rep 2021; 11:19529. [PMID: 34593890 PMCID: PMC8484554 DOI: 10.1038/s41598-021-98834-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 09/15/2021] [Indexed: 11/20/2022] Open
Abstract
Accumulating evidence indicates that amyloid-beta (Aβ) deposition and biogenic aldehyde accumulation contribute to the pathogenesis of neurodegenerative diseases. Human aldehyde dehydrogenase 2 (ALDH2) metabolizes biogenic aldehydes produced in the brain to prevent damage. However, r671G>A, a single nucleotide polymorphism of ALDH2, causes aldehyde accumulation and decreased ALDH2 activity. We aimed to investigate whether Aβ deposition and rs671 polymorphism have an interaction effect on cortical thickness (CTh). We grouped 179 participants in the Biobank Innovations for chronic Cerebrovascular disease With ALZheimer's disease Study as follows: amyloid (–) [A(–)] and amyloid (+) [A(+)] groups based on the Aβ deposition degree; A-carrier (AC) and GG (GG) groups based on the presence/absence of the rs671 A allele; and their combinations, i.e., A(–)AC, A(–)GG, A(+)AC, and A(+)GG groups. A multiple regression analysis identified nine regions of interest. Compared with the A(–)GG group, the A(–)AC group showed thinner CTh in all regions. There were no significant differences between the A(+)AC and A(+)GG groups. We observed an interaction effect of amyloid deposition and rs671 polymorphism on CTh. The CTh in the A(–) group appeared to be strongly influenced by rs671 polymorphism, which could have contributed to cortical thinning and biogenic aldehyde accumulation in the AC group. Additionally, CTh in the A(+) group appeared to be strongly influenced by amyloid deposition.
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Fox‐Fuller JT, Torrico‐Teave H, d'Oleire Uquillas F, Chen K, Su Y, Chen Y, Brickhouse M, Sanchez JS, Aguero C, Jacobs HI, Hampton O, Guzmán‐Vélez E, Vila‐Castelar C, Aguirre‐Acevedo DC, Baena A, Artola A, Martinez J, Pluim CF, Alvarez S, Ochoa‐Escudero M, Reiman EM, Sperling RA, Lopera F, Johnson KA, Dickerson BC, Quiroz YT. Cortical thickness across the lifespan in a Colombian cohort with autosomal-dominant Alzheimer's disease: A cross-sectional study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12233. [PMID: 34541287 PMCID: PMC8438687 DOI: 10.1002/dad2.12233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/22/2021] [Accepted: 06/28/2021] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Cortical thinning is a marker of neurodegeneration in Alzheimer's disease (AD). We investigated the age-related trajectory of cortical thickness across the lifespan (9-59 years) in a Colombian kindred with autosomal dominant AD (ADAD). METHODS Two hundred eleven participants (105 presenilin-1 [PSEN1] E280A mutation carriers, 16 with cognitive impairment; 106 non-carriers) underwent magnetic resonance imaging. A piecewise linear regression identified change-points in the age-related trajectory of cortical thickness in carriers and non-carriers. RESULTS Unimpaired carriers exhibited elevated cortical thickness compared to non-carriers, and thickness more negatively correlated with age and cognition in carriers relative to non-carriers. We found increased cortical thickness in child carriers, after which thickness steadied compared to non-carriers prior to a rapid reduction in the decade leading up to the expected age at cognitive impairment in carriers. DISCUSSION Findings suggest that cortical thickness may fluctuate across the ADAD lifespan, from early-life increased thickness to atrophy proximal to clinical onset.
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Affiliation(s)
- Joshua T. Fox‐Fuller
- Department of Psychological and Brain SciencesBoston UniversityBostonMassachusettsUSA
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Heirangi Torrico‐Teave
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Federico d'Oleire Uquillas
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Princeton Neuroscience InstitutePrinceton UniversityPrincetonNew JerseyUSA
| | - Kewei Chen
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | - Yi Su
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | | | - Michael Brickhouse
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Justin S. Sanchez
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Cinthya Aguero
- MassGeneral Institute for Neurodegenerative DiseaseCharlestownMassachusettsUSA
| | - Heidi I.L. Jacobs
- Division of Nuclear MedicineDepartment of RadiologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- School for Mental Health and NeuroscienceAlzheimer CentreLimburgMaastricht UniversityMaastrichtThe Netherlands
| | - Olivia Hampton
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Edmarie Guzmán‐Vélez
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Clara Vila‐Castelar
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | | | - Ana Baena
- Grupo de NeurociencasUniversidad de AntioquiaMedellínAntioquiaColombia
| | - Arabiye Artola
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Jairo Martinez
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Celina F. Pluim
- Department of Psychological and Brain SciencesBoston UniversityBostonMassachusettsUSA
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Sergio Alvarez
- Department of RadiologyHospital Pablo Tobon UribeMedellínColombia
| | | | | | - Reisa A. Sperling
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Athinoula A.Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
- Department of NeurologyBrigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Francisco Lopera
- Grupo de NeurociencasUniversidad de AntioquiaMedellínAntioquiaColombia
| | - Keith A. Johnson
- Division of Nuclear MedicineDepartment of RadiologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Athinoula A.Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Bradford C. Dickerson
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Athinoula A.Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Yakeel T. Quiroz
- Department of PsychiatryMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Grupo de NeurociencasUniversidad de AntioquiaMedellínAntioquiaColombia
- Athinoula A.Massachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
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Fox-Fuller JT, Artola A, Chen K, Pulsifer M, Ramirez D, Londono N, Aguirre-Acevedo DC, Vila-Castelar C, Baena A, Martinez J, Arboleda-Velasquez JF, Langbaum JB, Tariot PN, Reiman EM, Lopera F, Quiroz YT. Sex Differences in Cognitive Abilities Among Children With the Autosomal Dominant Alzheimer Disease Presenilin 1 E280A Variant From a Colombian Cohort. JAMA Netw Open 2021; 4:e2121697. [PMID: 34463747 PMCID: PMC8408665 DOI: 10.1001/jamanetworkopen.2021.21697] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE We previously reported that children with the autosomal dominant Alzheimer disease (ADAD) presenilin 1 (PSEN1) E280A variant had early life plasma biomarker findings consistent with amyloid β overproduction. However, the cognitive functioning of children with this variant has not been characterized vs those without the variant. OBJECTIVE To test whether cognitive functioning of children with and without the PSEN1 E280A variant in the same ADAD cohort differed by genetic status (ie, PSEN1 variant) and sex. DESIGN, SETTING, AND PARTICIPANTS This cohort study was conducted among 1354 children (including 265 children with the variant) aged 6 to 16 years recruited from the Alzheimer Prevention Initiative Colombia Registry. Participants from the city of Medellín and surrounding suburban areas traveled to the University of Antioquia to undergo all procedures. Participants were administered a Spanish version of the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) to measure general cognitive functioning. Data were analyzed from July through November 2020. MAIN OUTCOMES AND MEASURES Univariate general linear models were used to characterize differences on WISC-IV cognitive performance by genetic status, sex, and the interaction of genetic status with sex. Urbanity, socioeconomic status, and education were entered as covariates. RESULTS Among 1354 children with ADAD (695 [51.3%] girls; mean [SD] age, 11.64 [2.64] years), there were 265 children with the variant (19.6%) and 1089 children without the variant (80.4%). Children with and without the variant did not differ by demographic variables or performance on WISC-IV indices. Irrespective of genetic status, boys had statistically significantly decreased mean scores on indices for working memory (90.27 [95% CI, 89.21-91.34] vs 92.99 [95% CI, 91.98-93.99]; mean difference = -2.72; P < .001), perceptual reasoning (91.56 [95% CI, 90.47-92.65] vs. 93.27 [95% CI, 91.23-94.30]; mean difference = -1.71; P = .03), and verbal comprehension (88.69 [95% CI, 87.54-89.84] vs. 90.81 [95% CI, 89.73-91.90]; mean difference = -2.12; P = .009) compared with girls. In the interaction between sex and genetic status, boys with the variant had worse mean working memory index performance (88.78 [95% CI, 86.86-90.70]) than girls with the variant (93.75 [95% CI, 91.95-95.55]; mean difference = -4.97; P = .001), as well as boys (91.77 [95% CI, 90.85-92.70]; mean difference = -2.99; P = .04) and girls (92.22 [95% CI, 91.32-93.13]; mean difference = -3.44; P = .009) without the variant. CONCLUSIONS AND RELEVANCE This study found that boys with the PSEN1 variant had decreased working memory abilities compared with girls with the variant and boys and girls without the variant, suggesting a sex-specific genetic risk in early life cognitive performance among individuals with the PSEN1 variant. This increased risk of future cognitive difficulties among boys with the variant may have important downstream implications for learning and academic achievement and could be associated with sex differences seen in adulthood on episodic memory measures.
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Affiliation(s)
- Joshua T. Fox-Fuller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Arabiye Artola
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Department of Applied Psychology, Bouvé College of Health Sciences Northeastern University, Boston, Massachusetts
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona
- School of Mathematical and Statistical Sciences, Arizona State University, Tempe
- Department of Neurology, College of Medicine-Phoenix, University of Arizona, Tempe
| | - Margaret Pulsifer
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Dora Ramirez
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Antioquia, Colombia
| | - Natalia Londono
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Antioquia, Colombia
| | | | - Clara Vila-Castelar
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ana Baena
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Antioquia, Colombia
| | - Jairo Martinez
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Joseph F. Arboleda-Velasquez
- Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston
- Massachusetts Eye and Ear, Harvard Medical School, Boston
| | | | | | | | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Antioquia, Colombia
| | - Yakeel T. Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston
- Grupo de Neurociencias, Universidad de Antioquia, Medellín, Antioquia, Colombia
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts
- Department of Neurology, Massachusetts General Hospital, Boston
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Montal V, Vilaplana E, Pegueroles J, Bejanin A, Alcolea D, Carmona-Iragui M, Clarimón J, Levin J, Cruchaga C, Graff-Radford NR, Noble JM, Lee JH, Allegri R, Karch CM, Laske C, Schofield P, Salloway S, Ances B, Benzinger T, McDale E, Bateman R, Blesa R, Sánchez-Valle R, Lleó A, Fortea J. Biphasic cortical macro- and microstructural changes in autosomal dominant Alzheimer's disease. Alzheimers Dement 2021; 17:618-628. [PMID: 33196147 PMCID: PMC8043974 DOI: 10.1002/alz.12224] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/20/2020] [Accepted: 10/09/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION A biphasic model for brain structural changes in preclinical Alzheimer's disease (AD) could reconcile some conflicting and paradoxical findings in observational studies and anti-amyloid clinical trials. METHODS In this study we tested this model fitting linear versus quadratic trajectories and computed the timing of the inflection points vertexwise of cortical thickness and cortical diffusivity-a novel marker of cortical microstructure-changes in 389 participants from the Dominantly Inherited Alzheimer Network. RESULTS In early preclinical AD, between 20 and 15 years before estimated symptom onset, we found increases in cortical thickness and decreases in cortical diffusivity followed by cortical thinning and cortical diffusivity increases in later preclinical and symptomatic stages. The inflection points 16 to 19 years before estimated symptom onset are in agreement with the start of tau biomarker alterations. DISCUSSION These findings confirm a biphasic trajectory for brain structural changes and have direct implications when interpreting magnetic resonance imaging measures in preventive AD clinical trials.
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Affiliation(s)
- Victor Montal
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Eduard Vilaplana
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jordi Pegueroles
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Alex Bejanin
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - María Carmona-Iragui
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
- Barcelona Down Medical Center. Fundació Catalana de Síndrome de Down. Barcelona, Spain
| | - Jordi Clarimón
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Carlos Cruchaga
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- The Hope Center for Neurological Disorders, St Louis, MO, USA
- NeuroGenomics and Informatics, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | | | - James M Noble
- Department of Neurology, Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Ricardo Allegri
- Department of Cognitive Neurology, Institute for Neurological Research Fleni, BuenosAires, Argentina
| | - Celeste M. Karch
- Department of Psychiatry, Washington University School of Medicine, Saint Lous, MO, USA
| | - 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, Germany
| | - Peter Schofield
- Neuroscience Research Australia, Sydney, Australia
- School of Medical Sciences, University of New South Wales, Sydney, Australia
| | - Stephen Salloway
- Neurology and the Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Beau Ances
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- The Hope Center for Neurological Disorders, St Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, Missouri, USA
| | - Tammie Benzinger
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, Missouri, USA
| | - Eric McDale
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - Randall Bateman
- Department of Neurology, Washington University School of Medicine, St Louis, MO, USA
- The Hope Center for Neurological Disorders, St Louis, MO, USA
- Knight Alzheimer’s Disease Research Center, Washington University School of Medicine, St Louis, MO, USA
| | - Rafael Blesa
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Raquel Sánchez-Valle
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Hospital Clínic, Fundació Clínic per a la Recerca Biomèdica, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
- Barcelona Down Medical Center. Fundació Catalana de Síndrome de Down. Barcelona, Spain
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Dong Y, Newman M, Pederson SM, Barthelson K, Hin N, Lardelli M. Transcriptome analyses of 7-day-old zebrafish larvae possessing a familial Alzheimer's disease-like mutation in psen1 indicate effects on oxidative phosphorylation, ECM and MCM functions, and iron homeostasis. BMC Genomics 2021; 22:211. [PMID: 33761877 PMCID: PMC7992352 DOI: 10.1186/s12864-021-07509-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 03/05/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Early-onset familial Alzheimer's disease (EOfAD) is promoted by dominant mutations, enabling the study of Alzheimer's disease (AD) pathogenic mechanisms through generation of EOfAD-like mutations in animal models. In a previous study, we generated an EOfAD-like mutation, psen1Q96_K97del, in zebrafish and performed transcriptome analysis comparing entire brains from 6-month-old wild type and heterozygous mutant fish. We identified predicted effects on mitochondrial function and endolysosomal acidification. Here we aimed to determine whether similar effects occur in 7 day post fertilization (dpf) zebrafish larvae that might be exploited in screening of chemical libraries to find ameliorative drugs. RESULTS We generated clutches of wild type and heterozygous psen1Q96_K97del 7 dpf larvae using a paired-mating strategy to reduce extraneous genetic variation before performing a comparative transcriptome analysis. We identified 228 differentially expressed genes and performed various bioinformatics analyses to predict cellular functions. CONCLUSIONS Our analyses predicted a significant effect on oxidative phosphorylation, consistent with our earlier observations of predicted effects on ATP synthesis in adult heterozygous psen1Q96_K97del brains. The dysregulation of minichromosome maintenance protein complex (MCM) genes strongly contributed to predicted effects on DNA replication and the cell cycle and may explain earlier observations of genome instability due to PSEN1 mutation. The upregulation of crystallin gene expression may be a response to defective activity of mutant Psen1 protein in endolysosomal acidification. Genes related to extracellular matrix (ECM) were downregulated, consistent with previous studies of EOfAD mutant iPSC neurons and postmortem late onset AD brains. Also, changes in expression of genes controlling iron ion transport were observed without identifiable changes in the prevalence of transcripts containing iron responsive elements (IREs) in their 3' untranslated regions (UTRs). These changes may, therefore, predispose to the apparent iron dyshomeostasis previously observed in 6-month-old heterozygous psen1Q96_K97del EOfAD-like mutant brains.
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Affiliation(s)
- Yang Dong
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
| | - Morgan Newman
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
| | - Stephen M Pederson
- Bioinformatics Hub, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
| | - Karissa Barthelson
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
| | - Nhi Hin
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
- Bioinformatics Hub, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia
| | - Michael Lardelli
- Alzheimer's Disease Genetics Laboratory, School of Biological Sciences, University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
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Ibanez A, Yokoyama JS, Possin KL, Matallana D, Lopera F, Nitrini R, Takada LT, Custodio N, Sosa Ortiz AL, Avila-Funes JA, Behrens MI, Slachevsky A, Myers RM, Cochran JN, Brusco LI, Bruno MA, Brucki SMD, Pina-Escudero SD, Okada de Oliveira M, Donnelly Kehoe P, Garcia AM, Cardona JF, Santamaria-Garcia H, Moguilner S, Duran-Aniotz C, Tagliazucchi E, Maito M, Longoria Ibarrola EM, Pintado-Caipa M, Godoy ME, Bakman V, Javandel S, Kosik KS, Valcour V, Miller BL. The Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat): Driving Multicentric Research and Implementation Science. Front Neurol 2021; 12:631722. [PMID: 33776890 PMCID: PMC7992978 DOI: 10.3389/fneur.2021.631722] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/15/2021] [Indexed: 12/17/2022] Open
Abstract
Dementia is becoming increasingly prevalent in Latin America, contrasting with stable or declining rates in North America and Europe. This scenario places unprecedented clinical, social, and economic burden upon patients, families, and health systems. The challenges prove particularly pressing for conditions with highly specific diagnostic and management demands, such as frontotemporal dementia. Here we introduce a research and networking initiative designed to tackle these ensuing hurdles, the Multi-partner consortium to expand dementia research in Latin America (ReDLat). First, we present ReDLat's regional research framework, aimed at identifying the unique genetic, social, and economic factors driving the presentation of frontotemporal dementia and Alzheimer's disease in Latin America relative to the US. We describe ongoing ReDLat studies in various fields and ongoing research extensions. Then, we introduce actions coordinated by ReDLat and the Latin America and Caribbean Consortium on Dementia (LAC-CD) to develop culturally appropriate diagnostic tools, regional visibility and capacity building, diplomatic coordination in local priority areas, and a knowledge-to-action framework toward a regional action plan. Together, these research and networking initiatives will help to establish strong cross-national bonds, support the implementation of regional dementia plans, enhance health systems' infrastructure, and increase translational research collaborations across the continent.
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Affiliation(s)
- Agustin Ibanez
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- School of Psychology, Center for Social and Cognitive Neuroscience, Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile
| | - Jennifer S. Yokoyama
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Katherine L. Possin
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Diana Matallana
- Psychiatry Department, School of Medicine, Aging Institute, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Clinic, Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Unit, Hospital Universitario Santa Fe de Bogotá, Bogotá, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Ricardo Nitrini
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Leonel T. Takada
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
| | - Nilton Custodio
- Unit Cognitive Impairment and Dementia Prevention, Cognitive Neurology Center, Peruvian Institute of Neurosciences, Lima, Perú
| | - Ana Luisa Sosa Ortiz
- Instituto Nacional de Neurologia y Neurocirugia MVS, Universidad Nacional Autonoma de Mexico, Mexico, Mexico
| | - José Alberto Avila-Funes
- Department of Geriatrics, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico, Mexico
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, Bordeaux, France
| | - Maria Isabel Behrens
- Centro de Investigación Clínica Avanzada, Hospital Clínico, Facultad de Medicina Universidad de Chile, Santiago, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Santiago, Chile
- Departamento de Neurociencia, Facultad de Medicina Universidad de Chile, Santiago, Chile
- Clínica Alemana Santiago, Universidad del Desarrollo, Santiago, Chile
| | - Andrea Slachevsky
- Clínica Alemana Santiago, Universidad del Desarrollo, Santiago, Chile
- Geroscience Center for Brain Health and Metabolism (GERO), Santiago, Chile
- Neuropsychology and Clinical Neuroscience Laboratory, Physiopathology Department, Institute of Biomedical Sciences, Neuroscience and East Neuroscience, Santiago, Chile
- Faculty of Medicine, University of Chile, Santiago, Chile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology Department, Faculty of Medicine, Hospital del Salvador, University of Chile, Santiago, Chile
| | - Richard M. Myers
- Hudson Alpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Luis Ignacio Brusco
- Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
- ALZAR – Alzheimer, Buenos Aires, Argentina
| | - Martin A. Bruno
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Facultad Ciencias Médicas, Instituto Ciencias Biomédicas, Universidad Católica de Cuyo, San Juan, Argentina
| | - Sonia M. D. Brucki
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
- Hospital Santa Marcelina, São Paulo, São Paulo, Brazil
| | - Stefanie Danielle Pina-Escudero
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Maira Okada de Oliveira
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive and Behavioral Neurology Unit, Hospital das Clinicas, University of São Paulo Medical School, São Paulo, Brazil
- Hospital Santa Marcelina, São Paulo, São Paulo, Brazil
| | - Patricio Donnelly Kehoe
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Multimedia Signal Processing Group - Neuroimage Division, French-Argentine International Center for Information and Systems Sciences, Rosario, Argentina
| | - Adolfo M. Garcia
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
- Faculty of Education, National University of Cuyo, Mendoza, Argentina
| | | | - Hernando Santamaria-Garcia
- Memory and Cognition Clinic, Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Ph.D. Program in Neuroscience, Department of Psychiatry, Physiology, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Sebastian Moguilner
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Claudia Duran-Aniotz
- School of Psychology, Center for Social and Cognitive Neuroscience, Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibanez, Adolfo Ibanez University, Santiago, Chile
| | - Enzo Tagliazucchi
- Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Marcelo Maito
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | | | - Maritza Pintado-Caipa
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Unit Cognitive Impairment and Dementia Prevention, Cognitive Neurology Center, Peruvian Institute of Neurosciences, Lima, Perú
| | - Maria Eugenia Godoy
- Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina
| | - Vera Bakman
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Shireen Javandel
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Kenneth S. Kosik
- Department of Molecular, Cellular, and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, United States
| | - Victor Valcour
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Bruce L. Miller
- The Global Brain Health Institute (GBHI), University of California, San Francisco, San Francisco, CA, United States
- The Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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Sepulveda-Falla D, Chavez-Gutierrez L, Portelius E, Vélez JI, Dujardin S, Barrera-Ocampo A, Dinkel F, Hagel C, Puig B, Mastronardi C, Lopera F, Hyman BT, Blennow K, Arcos-Burgos M, de Strooper B, Glatzel M. A multifactorial model of pathology for age of onset heterogeneity in familial Alzheimer's disease. Acta Neuropathol 2021; 141:217-233. [PMID: 33319314 PMCID: PMC7847436 DOI: 10.1007/s00401-020-02249-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/22/2020] [Accepted: 11/23/2020] [Indexed: 12/13/2022]
Abstract
Presenilin-1 (PSEN1) mutations cause familial Alzheimer's disease (FAD) characterized by early age of onset (AoO). Examination of a large kindred harboring the PSEN1-E280A mutation reveals a range of AoO spanning 30 years. The pathophysiological drivers and clinical impact of AoO variation in this population are unknown. We examined brains of 23 patients focusing on generation and deposition of beta-amyloid (Aβ) and Tau pathology profile. In 14 patients distributed at the extremes of AoO, we performed whole-exome capture to identify genotype-phenotype correlations. We also studied kinome activity, proteasome activity, and protein polyubiquitination in brain tissue, associating it with Tau phosphorylation profiles. PSEN1-E280A patients showed a bimodal distribution for AoO. Besides AoO, there were no clinical differences between analyzed groups. Despite the effect of mutant PSEN1 on production of Aβ, there were no relevant differences between groups in generation and deposition of Aβ. However, differences were found in hyperphosphorylated Tau (pTau) pathology, where early onset patients showed severe pathology with diffuse aggregation pattern associated with increased activation of stress kinases. In contrast, late-onset patients showed lesser pTau pathology and a distinctive kinase activity. Furthermore, we identified new protective genetic variants affecting ubiquitin-proteasome function in early onset patients, resulting in higher ubiquitin-dependent degradation of differentially phosphorylated Tau. In PSEN1-E280A carriers, altered γ-secretase activity and resulting Aβ accumulation are prerequisites for early AoO. However, Tau hyperphosphorylation pattern, and its degradation by the proteasome, drastically influences disease onset in individuals with otherwise similar Aβ pathology, hinting toward a multifactorial model of disease for FAD. In sporadic AD (SAD), a wide range of heterogeneity, also influenced by Tau pathology, has been identified. Thus, Tau-induced heterogeneity is a common feature in both AD variants, suggesting that a multi-target therapeutic approach should be used to treat AD.
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Affiliation(s)
- Diego Sepulveda-Falla
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
- Neuroscience Group of Antioquia, Faculty of Medicine, University of Antioquia, Medellín, Colombia.
| | - Lucia Chavez-Gutierrez
- VIB Center for Brain and Disease Research, 3000, Leuven, Belgium
- Department of Neurology, KU Leuven, Leuven, Belgium
| | - Erik Portelius
- Institute of Neuroscience and Physiology, Dept. of Psychiatry and Neurochemistry, The Sahlgrenska Academy At the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Mölndal, Sweden
| | - Jorge I Vélez
- Department of Genome Sciences, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
- Universidad del Norte, Barranquilla, Colombia
| | - Simon Dujardin
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, MassGeneral Institute for Neurodegenerative Disease, Charlestown, USA
| | - Alvaro Barrera-Ocampo
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Facultad de Ciencias Naturales, Departamento de Ciencias Farmaceuticas, Universidad Icesi, Grupo Natura, Calle 18 No. 122 -135, Cali, Colombia
| | - Felix Dinkel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Hagel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Berta Puig
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Claudio Mastronardi
- Department of Genome Sciences, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
- GIPSI Group, Department of Psychiatry, Medical Research Institute, University of Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Neuroscience Group of Antioquia, Faculty of Medicine, University of Antioquia, Medellín, Colombia
| | - Bradley T Hyman
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, MassGeneral Institute for Neurodegenerative Disease, Charlestown, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Dept. of Psychiatry and Neurochemistry, The Sahlgrenska Academy At the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 431 80, Mölndal, Sweden
| | - Mauricio Arcos-Burgos
- GIPSI Group, Department of Psychiatry, Medical Research Institute, University of Antioquia, Medellín, Colombia
| | - Bart de Strooper
- VIB Center for Brain and Disease Research, 3000, Leuven, Belgium
- Department of Neurology, KU Leuven, Leuven, Belgium
- UK Dementia Research Institute, University College London, Queen Square, London, WC1N 3BG, UK
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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28
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Chen X, Salehi A, Pearn ML, Overk C, Nguyen PD, Kleschevnikov AM, Maccecchini M, Mobley WC. Targeting increased levels of APP in Down syndrome: Posiphen-mediated reductions in APP and its products reverse endosomal phenotypes in the Ts65Dn mouse model. Alzheimers Dement 2021; 17:271-292. [PMID: 32975365 PMCID: PMC7984396 DOI: 10.1002/alz.12185] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 08/07/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Recent clinical trials targeting amyloid beta (Aβ) and tau in Alzheimer's disease (AD) have yet to demonstrate efficacy. Reviewing the hypotheses for AD pathogenesis and defining possible links between them may enhance insights into both upstream initiating events and downstream mechanisms, thereby promoting discovery of novel treatments. Evidence that in Down syndrome (DS), a population markedly predisposed to develop early onset AD, increased APP gene dose is necessary for both AD neuropathology and dementia points to normalization of the levels of the amyloid precursor protein (APP) and its products as a route to further define AD pathogenesis and discovering novel treatments. BACKGROUND AD and DS share several characteristic manifestations. DS is caused by trisomy of whole or part of chromosome 21; this chromosome contains about 233 protein-coding genes, including APP. Recent evidence points to a defining role for increased expression of the gene for APP and for its 99 amino acid C-terminal fragment (C99, also known as β-CTF) in dysregulating the endosomal/lysosomal system. The latter is critical for normal cellular function and in neurons for transmitting neurotrophic signals. NEW/UPDATED HYPOTHESIS We hypothesize that the increase in APP gene dose in DS initiates a process in which increased levels of full-length APP (fl-APP) and its products, including β-CTF and possibly Aβ peptides (Aβ42 and Aβ40), drive AD pathogenesis through an endosome-dependent mechanism(s), which compromises transport of neurotrophic signals. To test this hypothesis, we carried out studies in the Ts65Dn mouse model of DS and examined the effects of Posiphen, an orally available small molecule shown in prior studies to reduce fl-APP. In vitro, Posiphen lowered fl-APP and its C-terminal fragments, reversed Rab5 hyperactivation and early endosome enlargement, and restored retrograde transport of neurotrophin signaling. In vivo, Posiphen treatment (50 mg/kg/d, 26 days, intraperitoneal [i.p.]) of Ts65Dn mice was well tolerated and demonstrated no adverse effects in behavior. Treatment resulted in normalization of the levels of fl-APP, C-terminal fragments and small reductions in Aβ species, restoration to normal levels of Rab5 activity, reduced phosphorylated tau (p-tau), and reversed deficits in TrkB (tropomyosin receptor kinase B) activation and in the Akt (protein kinase B [PKB]), ERK (extracellular signal-regulated kinase), and CREB (cAMP response element-binding protein) signaling pathways. Remarkably, Posiphen treatment also restored the level of choline acetyltransferase protein to 2N levels. These findings support the APP gene dose hypothesis, point to the need for additional studies to explore the mechanisms by which increased APP gene expression acts to increase the risk for AD in DS, and to possible utility of treatments to normalize the levels of APP and its products for preventing AD in those with DS. MAJOR CHALLENGES FOR THE HYPOTHESIS Important unanswered questions are: (1) When should one intervene in those with DS; (2) would an APP-based strategy have untoward consequences on possible adaptive changes induced by chronically increased APP gene dose; (3) do other genes present on chromosome 21, or on other chromosomes whose expression is dysregulated in DS, contribute to AD pathogenesis; and (4) can one model strategies that combine the use of an APP-based treatment with those directed at other AD phenotypes including p-tau and inflammation. LINKAGE TO OTHER MAJOR THEORIES The APP gene dose hypothesis interfaces with the amyloid cascade hypothesis of AD as well as with the genetic and cell biological observations that support it. Moreover, upregulation of fl-APP protein and products may drive downstream events that dysregulate tau homeostasis and inflammatory responses that contribute to propagation of AD pathogenesis.
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Affiliation(s)
- Xu‐Qiao Chen
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Ahmad Salehi
- Department of Psychiatry & Behavioral SciencesStanford Medical SchoolPalo AltoCaliforniaUSA
| | - Matthew L. Pearn
- Department of AnesthesiologyUniversity of California San Diego, School of MedicineLa JollaCaliforniaUSA
- V.A. San Diego Healthcare SystemSan DiegoCaliforniaUSA
| | - Cassia Overk
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | - Phuong D. Nguyen
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
| | | | | | - William C. Mobley
- Department of NeurosciencesUniversity of California San DiegoLa JollaCaliforniaUSA
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29
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Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning. Biomedicines 2021; 9:biomedicines9010082. [PMID: 33467174 PMCID: PMC7830949 DOI: 10.3390/biomedicines9010082] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common type of dementia, and depression is a risk factor for developing AD. Epidemiological studies provide a clinical correlation between late-life depression (LLD) and AD. Depression patients generally remit with no residual symptoms, but LLD patients demonstrate residual cognitive impairment. Due to the lack of effective treatments, understanding how risk factors affect the course of AD is essential to manage AD. Advances in neuroimaging, including resting-state functional MRI (fMRI), have been used to address neural systems that contribute to clinical symptoms and functional changes across various psychiatric disorders. Resting-state fMRI studies have contributed to understanding each of the two diseases, but the link between LLD and AD has not been fully elucidated. This review focuses on three crucial and well-established networks in AD and LLD and discusses the impacts on cognitive decline, clinical symptoms, and prognosis. Three networks are the (1) default mode network, (2) executive control network, and (3) salience network. The multiple properties emphasized here, relevant for the hypothesis of the linkage between LLD and AD, will be further developed by ongoing future studies.
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30
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Arber C, Lovejoy C, Harris L, Willumsen N, Alatza A, Casey JM, Lines G, Kerins C, Mueller AK, Zetterberg H, Hardy J, Ryan NS, Fox NC, Lashley T, Wray S. Familial Alzheimer's Disease Mutations in PSEN1 Lead to Premature Human Stem Cell Neurogenesis. Cell Rep 2021; 34:108615. [PMID: 33440141 PMCID: PMC7809623 DOI: 10.1016/j.celrep.2020.108615] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 09/07/2020] [Accepted: 12/16/2020] [Indexed: 12/13/2022] Open
Abstract
Mutations in presenilin 1 (PSEN1) or presenilin 2 (PSEN2), the catalytic subunit of γ-secretase, cause familial Alzheimer's disease (fAD). We hypothesized that mutations in PSEN1 reduce Notch signaling and alter neurogenesis. Expression data from developmental and adult neurogenesis show relative enrichment of Notch and γ-secretase expression in stem cells, whereas expression of APP and β-secretase is enriched in neurons. We observe premature neurogenesis in fAD iPSCs harboring PSEN1 mutations using two orthogonal systems: cortical differentiation in 2D and cerebral organoid generation in 3D. This is partly driven by reduced Notch signaling. We extend these studies to adult hippocampal neurogenesis in mutation-confirmed postmortem tissue. fAD cases show mutation-specific effects and a trend toward reduced abundance of newborn neurons, supporting a premature aging phenotype. Altogether, these results support altered neurogenesis as a result of fAD mutations and suggest that neural stem cell biology is affected in aging and disease.
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Affiliation(s)
- Charles Arber
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
| | - Christopher Lovejoy
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Lachlan Harris
- Neural Stem Cell Biology Laboratory, The Francis Crick Institute, London, UK
| | - Nanet Willumsen
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, London, UK
| | - Argyro Alatza
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Jackie M Casey
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Georgie Lines
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Caoimhe Kerins
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Anika K Mueller
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; 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; UK Dementia Research Institute at UCL, London, UK
| | - John Hardy
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Natalie S Ryan
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Nick C Fox
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Queen Square Brain Bank for Neurological Disorders, Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, London, UK
| | - Selina Wray
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
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31
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Richter N, Bischof GN, Dronse J, Nellessen N, Neumaier B, Langen KJ, Drzezga A, Fink GR, van Eimeren T, Kukolja J, Onur OA. Entorhinal Tau Predicts Hippocampal Activation and Memory Deficits in Alzheimer's Disease. J Alzheimers Dis 2020; 78:1601-1614. [PMID: 33164934 DOI: 10.3233/jad-200835] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND To date, it remains unclear how amyloid plaques and neurofibrillary tangles are related to neural activation and, consequently, cognition in Alzheimer's disease (AD). Recent findings indicate that tau accumulation may drive hippocampal hyperactivity in cognitively normal aging, but it remains to be elucidated how tau accumulation is related to neural activation in AD. OBJECTIVE To determine whether the association between tau accumulation and hippocampal hyperactivation persists in mild cognitive impairment (MCI) and mild dementia or if the two measures dissociate with disease progression, we investigated the relationship between local tau deposits and memory-related neural activation in MCI and mild dementia due to AD. METHODS Fifteen patients with MCI or mild dementia due to AD underwent a neuropsychological assessment and performed an item memory task during functional magnetic resonance imaging. Cerebral tau accumulation was assessed using positron emission tomography and [18F]-AV-1451. RESULTS Entorhinal, but not global tau accumulation, was highly correlated with hippocampal activation due to visual item memory encoding and predicted memory loss over time. Neural activation in the posterior cingulate cortex and the fusiform gyrus was not significantly correlated with tau accumulation. CONCLUSION These findings extend previous observations in cognitively normal aging, demonstrating that entorhinal tau continues to be closely associated with hippocampal hyperactivity and memory performance in MCI and mild dementia due to AD. Furthermore, data suggest that this association is strongest in medial temporal lobe structures. In summary, our data provide novel insights into the relationship of tau accumulation to neural activation and memory in AD.
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Affiliation(s)
- Nils Richter
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gérard N Bischof
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julian Dronse
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nils Nellessen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bernd Neumaier
- Nuclear Chemistry, Institute of Neuroscience and Medicine (INM-5), Research Center Jülich, Jülich, Germany.,Institute for Radiochemistry and Experimental Molecular Imaging, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karl-Josef Langen
- Medical Imaging Physics, Institute of Neuroscience and Medicine (INM-4), Research Center Jülich, Jülich, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Juraj Kukolja
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Neurology and Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
| | - Oezguer A Onur
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Parker AF, Smart CM, Scarapicchia V, Gawryluk JR. Identification of Earlier Biomarkers for Alzheimer’s Disease: A Multimodal Neuroimaging Study of Individuals with Subjective Cognitive Decline. J Alzheimers Dis 2020; 77:1067-1076. [DOI: 10.3233/jad-200299] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: Individuals with subjective cognitive decline (SCD) are thought to be the earliest along the cognitive continuum between healthy aging and Alzheimer’s disease (AD). Objective: The current study used a multi-modal neuroimaging approach to examine differences in brain structure and function between individuals with SCD and healthy controls (HC). Methods: 3T high-resolution anatomical images and resting-state functional MRI scans were retrieved for 23 individuals with SCD and 23 HC from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Results: The SCD and HC groups were not significantly different in age or education level. Voxel-based morphometry results did not show significant differences in grey matter volume between the groups. Functional MRI results revealed significantly greater functional connectivity in the default mode network in regions including the bilateral precuneus cortex, bilateral thalamus, and right hippocampal regions in individuals with SCD relative to controls. Conversely, those with SCD showed decreased functional connectivity in the bilateral frontal pole, caudate, angular gyrus, and lingual gyrus, compared to HC. Conclusion: Findings revealed differences in brain function but not structure between individuals with SCD and HC. Overall, this study represents a crucial step in characterizing individuals with SCD, a group recognized to be at increased risk for AD. It is imperative to identify biomarkers of AD prior to significant decline on clinical assessment, so that disease-delaying interventions may be delivered at the earliest possible time point.
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Affiliation(s)
- Ashleigh F. Parker
- Department of Psychology, University of Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, BC, Canada
| | - Colette M. Smart
- Department of Psychology, University of Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, BC, Canada
| | - Vanessa Scarapicchia
- Department of Psychology, University of Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, BC, Canada
| | - Jodie R. Gawryluk
- Department of Psychology, University of Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, BC, Canada
- Division of Medical Sciences, University of Victoria, BC, Canada
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Turney IC, Chesebro AG, Rentería MA, Lao PJ, Beato JM, Schupf N, Mayeux R, Manly JJ, Brickman AM. APOE ε4 and resting-state functional connectivity in racially/ethnically diverse older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12094. [PMID: 32999914 PMCID: PMC7508460 DOI: 10.1002/dad2.12094] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 07/15/2020] [Accepted: 07/22/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Numerous neuroimaging studies demonstrated an association between the apolipoprotein E (APOE) ε4 allele and resting-state functional connectivity (rsFC) of regions within the default mode network (DMN), both in healthy populations and patients with AD. It remains unclear whether the APOE ε4 allele differentially affects the brain's functional network architecture across race/ethnicity. METHODS We investigated rsFC within DMN subsystems in 170 APOE ε4 carriers compared to 387 APOE ε4 non-carriers across three major racial/ethnic groups, including non-Hispanic Whites (n = 166), non-Hispanic Blacks (n = 185), and Hispanics (n = 206) from the Washington Heights-Inwood Columbia Aging Project. RESULTS Compared to APOE ε4 non-carriers, APOE ε4 carriers had lower rsFC in temporal DMN, but only in non-Hispanic Whites. Non-Hispanic Black and Hispanic APOE ε4 carriers had slightly higher or similar rsFC compared with non-Hispanic White APOE ε4 non-carriers. DISCUSSION These findings suggest that APOE ε4 modulates DMN rsFC differently in non-Hispanic Whites compared with non-Hispanic Blacks and Hispanics.
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Affiliation(s)
- Indira C. Turney
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Anthony G. Chesebro
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Miguel Arce Rentería
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Patrick J. Lao
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Juliet M. Beato
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Jennifer J. Manly
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Gertrude H. Sergievsky CenterCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyCollege of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
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Newman M, Nik HM, Sutherland GT, Hin N, Kim WS, Halliday GM, Jayadev S, Smith C, Laird AS, Lucas CW, Kittipassorn T, Peet DJ, Lardelli M. Accelerated loss of hypoxia response in zebrafish with familial Alzheimer's disease-like mutation of presenilin 1. Hum Mol Genet 2020; 29:2379-2394. [PMID: 32588886 PMCID: PMC8604272 DOI: 10.1093/hmg/ddaa119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/27/2020] [Accepted: 06/11/2020] [Indexed: 12/13/2022] Open
Abstract
Ageing is the major risk factor for Alzheimer's disease (AD), a condition involving brain hypoxia. The majority of early-onset familial AD (EOfAD) cases involve dominant mutations in the gene PSEN1. PSEN1 null mutations do not cause EOfAD. We exploited putative hypomorphic and EOfAD-like mutations in the zebrafish psen1 gene to explore the effects of age and genotype on brain responses to acute hypoxia. Both mutations accelerate age-dependent changes in hypoxia-sensitive gene expression supporting that ageing is necessary, but insufficient, for AD occurrence. Curiously, the responses to acute hypoxia become inverted in extremely aged fish. This is associated with an apparent inability to upregulate glycolysis. Wild-type PSEN1 allele expression is reduced in post-mortem brains of human EOfAD mutation carriers (and extremely aged fish), possibly contributing to EOfAD pathogenesis. We also observed that age-dependent loss of HIF1 stabilization under hypoxia is a phenomenon conserved across vertebrate classes.
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Affiliation(s)
- Morgan Newman
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
| | - Hani Moussavi Nik
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
| | - Greg T Sutherland
- Discipline of Pathology, School of Medical Sciences and Charles
Perkins Centre, Faculty of Medicine and Health, The University of
Sydney, Camperdown, New South Wales 2006, Australia
| | - Nhi Hin
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
- Bioinformatics Hub, University of
Adelaide, Adelaide, South Australia, Australia
| | - Woojin S Kim
- Brain and Mind Centre, Central Clinical School, Faculty of
Medicine and Health, The University of Sydney, Camperdown, New
South Wales 2052, Australia
- School of Medical Sciences, University of New South
Wales and Neuroscience Research Australia, Randwick, New South Wales,
Australia
| | - Glenda M Halliday
- Brain and Mind Centre, Central Clinical School, Faculty of
Medicine and Health, The University of Sydney, Camperdown, New
South Wales 2052, Australia
- School of Medical Sciences, University of New South
Wales and Neuroscience Research Australia, Randwick, New South Wales,
Australia
| | - Suman Jayadev
- Department of Neurology, University of
Washington, Seattle, Washington 98195, USA
| | - Carole Smith
- Department of Neurology, University of
Washington, Seattle, Washington 98195, USA
| | - Angela S Laird
- Centre for MND Research, Department of Biomedical Sciences,
Faculty of Medicine and Health Sciences, Macquarie University,
New South Wales 2109, Australia
| | - Caitlin W Lucas
- Centre for MND Research, Department of Biomedical Sciences,
Faculty of Medicine and Health Sciences, Macquarie University,
New South Wales 2109, Australia
| | - Thaksaon Kittipassorn
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
- Department of Physiology, Faculty of Medicine Siriraj Hospital,
Mahidol University, Bangkok 10700, Thailand
| | - Dan J Peet
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
| | - Michael Lardelli
- School of Biological Sciences, University of
Adelaide, Adelaide, South Australia 5005, Australia
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Fuller JT, Cronin-Golomb A, Gatchel JR, Norton DJ, Guzmán-Vélez E, Jacobs HIL, Hanseeuw B, Pardilla-Delgado E, Artola A, Baena A, Bocanegra Y, Kosik KS, Chen K, Tariot PN, Johnson K, Sperling RA, Reiman EM, Lopera F, Quiroz YT. Biological and Cognitive Markers of Presenilin1 E280A Autosomal Dominant Alzheimer's Disease: A Comprehensive Review of the Colombian Kindred. JPAD-JOURNAL OF PREVENTION OF ALZHEIMERS DISEASE 2020; 6:112-120. [PMID: 30756118 DOI: 10.14283/jpad.2019.6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The study of individuals with autosomal dominant Alzheimer's disease affords one of the best opportunities to characterize the biological and cognitive changes of Alzheimer's disease that occur over the course of the preclinical and symptomatic stages. Unifying the knowledge gained from the past three decades of research in the world's largest single-mutation autosomal dominant Alzheimer's disease kindred - a family in Antioquia, Colombia with the E280A mutation in the Presenilin1 gene - will provide new directions for Alzheimer's research and a framework for generalizing the findings from this cohort to the more common sporadic form of Alzheimer's disease. As this specific mutation is virtually 100% penetrant for the development of the disease by midlife, we use a previously defined median age of onset for mild cognitive impairment for this cohort to examine the trajectory of the biological and cognitive markers of the disease as a function of the carriers' estimated years to clinical onset. Studies from this cohort suggest that structural and functional brain abnormalities - such as cortical thinning and hyperactivation in memory networks - as well as differences in biofluid and in vivo measurements of Alzheimer's-related pathological proteins distinguish Presenilin1 E280A mutation carriers from non-carriers as early as childhood, or approximately three decades before the median age of onset of clinical symptoms. We conclude our review with discussion on future directions for Alzheimer's disease research, with specific emphasis on ways to design studies that compare the generalizability of research in autosomal dominant Alzheimer's disease to the larger sporadic Alzheimer's disease population.
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Affiliation(s)
- J T Fuller
- Yakeel T. Quiroz, PhD Assistant Professor, Harvard Medical School, Departments of Psychiatry and Neurology, Massachusetts General Hospital, 100 1st Avenue, Building 39, Suite 101, Charlestown, MA 02129, Phone (617) 643-5944; Fax: (617) 726-5760, E-mail:
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Castillo-Barnes D, Su L, Ramírez J, Salas-Gonzalez D, Martinez-Murcia FJ, Illan IA, Segovia F, Ortiz A, Cruchaga C, Farlow MR, Xiong C, Graff-Radford NR, Schofield PR, Masters CL, Salloway S, Jucker M, Mori H, Levin J, Gorriz JM. Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning. AN INTERNATIONAL JOURNAL ON INFORMATION FUSION 2020; 58:153-167. [PMID: 32284705 PMCID: PMC7153760 DOI: 10.1016/j.inffus.2020.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Despite subjects with Dominantly-Inherited Alzheimer's Disease (DIAD) represent less than 1% of all Alzheimer's Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact in the understanding of AD disease course with special emphasis on the presyptomatic disease phase. Until now, the 3 genes involved in DIAD pathogenesis (PSEN1, PSEN2 and APP) have been commonly merged into one group (Mutation Carriers, MC) and studied using conventional statistical analysis. Comparisons between groups using null-hypothesis testing or longitudinal regression procedures, such as the linear-mixed-effects models, have been assessed in the extant literature. Within this context, the work presented here performs a comparison between different groups of subjects by considering the 3 genes, either jointly or separately, and using tools based on Machine Learning (ML). This involves a feature selection step which makes use of ANOVA followed by Principal Component Analysis (PCA) to determine which features would be realiable for further comparison purposes. Then, the selected predictors are classified using a Support-Vector-Machine (SVM) in a nested k-Fold cross-validation resulting in maximum classification rates of 72-74% using PiB PET features, specially when comparing asymptomatic Non-Carriers (NC) subjects with asymptomatic PSEN1 Mutation-Carriers (PSEN1-MC). Results obtained from these experiments led to the idea that PSEN1-MC might be considered as a mixture of two different subgroups including: a first group whose patterns were very close to NC subjects, and a second group much more different in terms of imaging patterns. Thus, using a k-Means clustering algorithm it was determined both subgroups and a new classification scenario was conducted to validate this process. The comparison between each subgroup vs. NC subjects resulted in classification rates around 80% underscoring the importance of considering DIAN as an heterogeneous entity.
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Affiliation(s)
- Diego Castillo-Barnes
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridge (UK)
| | - Javier Ramírez
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Diego Salas-Gonzalez
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | | | - Ignacio A. Illan
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Fermin Segovia
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
| | - Andres Ortiz
- Department of Communications Engineering, University of Malaga, Malaga (Spain)
| | - Carlos Cruchaga
- Department of Psychiatry and Neurology, Washington University School of Medicine, St. Louis, Missouri (USA)
| | - Martin R. Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana (USA)
| | - Chengjie Xiong
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri (USA)
| | | | - Peter R. Schofield
- Neuroscience Research Australia and School of Medical Sciences, University of New South Wales, Sydney (Australia)
| | - Colin L. Masters
- Florey Institute and University of Melbourne, Victoria (Australia)
| | | | - Mathias Jucker
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen (Germany)
| | - Hiroshi Mori
- Department of Clinical Neuroscience, Osaka City University Medical school, Osaka (Japan)
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University of Munich, Munich (Germany)
| | - Juan M. Gorriz
- Department of Signal Theory, Telematics and Communications, University of Granada, Granada (Spain)
- Department of Psychiatry, University of Cambridge, Cambridge (UK)
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Soto-Mercado V, Mendivil-Perez M, Velez-Pardo C, Lopera F, Jimenez-Del-Rio M. Cholinergic-like neurons carrying PSEN1 E280A mutation from familial Alzheimer's disease reveal intraneuronal sAPPβ fragments accumulation, hyperphosphorylation of TAU, oxidative stress, apoptosis and Ca2+ dysregulation: Therapeutic implications. PLoS One 2020; 15:e0221669. [PMID: 32437347 PMCID: PMC7241743 DOI: 10.1371/journal.pone.0221669] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 05/06/2020] [Indexed: 01/31/2023] Open
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive memory loss and cognitive disturbance as a consequence of the loss of cholinergic neurons in the brain, neuritic plaques and hyperphosphorylation of TAU protein. Although the underlying mechanisms leading to these events are unclear, mutations in presenilin 1 (PSEN1), e.g., E280A (PSEN1 E280A), are causative factors for autosomal dominant early-onset familial AD (FAD). Despite advances in the understanding of the physiopathology of AD, there are no efficient therapies to date. Limitations in culturing brain-derived live neurons might explain the limited effectiveness of AD research. Here, we show that mesenchymal stromal (stem) cells (MSCs) can be used to model FAD, providing novel opportunities to study cellular mechanisms and to establish therapeutic strategies. Indeed, we cultured MSCs with the FAD mutation PSEN1 E280A and wild-type (WT) PSEN1 from umbilical cords and characterized the transdifferentiation of these cells into cholinergic-like neurons (ChLNs). PSEN1 E280A ChLNs but not WT PSEN1 ChLNs exhibited increased intracellular soluble amyloid precursor protein (sAPPf) fragments and extracellular Aβ42 peptide and TAU phosphorylation (at residues Ser202/Thr205), recapitulating the molecular pathogenesis of FAD caused by mutant PSEN1. Furthermore, PSEN1 E280A ChLNs presented oxidative stress (OS) as evidenced by the oxidation of DJ-1Cys106-SH into DJ-1Cys106-SO3 and the detection of DCF-positive cells and apoptosis markers such as activated pro-apoptosis proteins p53, c-JUN, PUMA and CASPASE-3 and the concomitant loss of the mitochondrial membrane potential and DNA fragmentation. Additionally, mutant ChLNs displayed Ca2+ flux dysregulation and deficient acetylcholinesterase (AChE) activity compared to control ChLNs. Interestingly, the inhibitor JNK SP600125 almost completely blocked TAU phosphorylation. Our findings demonstrate that FAD MSC-derived cholinergic neurons with the PSEN1 E280A mutation provide important clues for the identification of targetable pathological molecules.
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Affiliation(s)
- Viviana Soto-Mercado
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), SIU Medellin, Medellin, Colombia
| | - Miguel Mendivil-Perez
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), SIU Medellin, Medellin, Colombia
| | - Carlos Velez-Pardo
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), SIU Medellin, Medellin, Colombia
| | - Francisco Lopera
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), SIU Medellin, Medellin, Colombia
| | - Marlene Jimenez-Del-Rio
- Neuroscience Research Group, Medical Research Institute, Faculty of Medicine, University of Antioquia (UdeA), SIU Medellin, Medellin, Colombia
- * E-mail:
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Vilaplana E, Rodriguez-Vieitez E, Ferreira D, Montal V, Almkvist O, Wall A, Lleó A, Westman E, Graff C, Fortea J, Nordberg A. Cortical microstructural correlates of astrocytosis in autosomal-dominant Alzheimer disease. Neurology 2020; 94:e2026-e2036. [PMID: 32291295 PMCID: PMC7282881 DOI: 10.1212/wnl.0000000000009405] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 11/18/2019] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To study the macrostructural and microstructural MRI correlates of brain astrocytosis, measured with 11C-deuterium-L-deprenyl (11C-DED)-PET, in familial autosomal-dominant Alzheimer disease (ADAD). METHODS The total sample (n = 31) comprised ADAD mutation carriers (n = 10 presymptomatic, 39.2 ± 10.6 years old; n = 3 symptomatic, 55.5 ± 2.0 years old) and noncarriers (n = 18, 44.0 ± 13.7 years old) belonging to families with mutations in either the presenilin-1 or amyloid precursor protein genes. All participants underwent structural and diffusion MRI and neuropsychological assessment, and 20 participants (6 presymptomatic and 3 symptomatic mutation carriers and 11 noncarriers) also underwent 11C-DED-PET. RESULTS Vertex-wise interaction analyses revealed a differential relationship between carriers and noncarriers in the association between 11C-DED binding and estimated years to onset (EYO) and between cortical mean diffusivity (MD) and EYO. These differences were due to higher 11C-DED binding in presymptomatic carriers, with lower binding in symptomatic carriers compared to noncarriers, and to lower cortical MD in presymptomatic carriers, with higher MD in symptomatic carriers compared to noncarriers. Using a vertex-wise local correlation approach, 11C-DED binding was negatively correlated with cortical MD and positively correlated with cortical thickness. CONCLUSIONS Our proof-of-concept study is the first to show that microstructural and macrostructural changes can reflect underlying neuroinflammatory mechanisms in early stages of Alzheimer disease (AD). The findings support a role for neuroinflammation in AD pathogenesis, with potential implications for the correct interpretation of neuroimaging biomarkers as surrogate endpoints in clinical trials.
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Affiliation(s)
- Eduard Vilaplana
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Elena Rodriguez-Vieitez
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Daniel Ferreira
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Victor Montal
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Ove Almkvist
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Anders Wall
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Alberto Lleó
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Eric Westman
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Caroline Graff
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Juan Fortea
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Agneta Nordberg
- From the Memory Unit, Department of Neurology (E.V., V.M., A.L., J.F.), Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED (E.V., V.M., A.L., J.F.), Madrid, Spain; Department of Neurobiology (E.R.-V., D.F., O.A., E.W., A.N.), Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, and Division of Neurogeriatrics (C.G.), Karolinska Institutet, Stockholm Department of Psychology (O.A.), Stockholm University; The Aging Brain Unit (O.A., A.N.) and Unit for Hereditary Dementias (C.G.), Theme Aging, Karolinska University Hospital, Stockholm; Department of Surgical Sciences, Section of Nuclear Medicine & PET (A.W.), Uppsala University, Sweden; and Department of Neuroimaging (E.W.), Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
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Accelerated brain aging towards transcriptional inversion in a zebrafish model of the K115fs mutation of human PSEN2. PLoS One 2020; 15:e0227258. [PMID: 31978074 PMCID: PMC6980398 DOI: 10.1371/journal.pone.0227258] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 12/16/2019] [Indexed: 12/26/2022] Open
Abstract
Background The molecular changes involved in Alzheimer’s disease (AD) progression remain unclear since we cannot easily access antemortem human brains. Some non-mammalian vertebrates such as the zebrafish preserve AD-relevant transcript isoforms of the PRESENILIN genes lost from mice and rats. One example is PS2V, the alternative transcript isoform of the PSEN2 gene. PS2V is induced by hypoxia/oxidative stress and shows increased expression in late onset, sporadic AD brains. A unique, early onset familial AD mutation of PSEN2, K115fs, mimics the PS2V coding sequence suggesting that forced, early expression of PS2V-like isoforms may contribute to AD pathogenesis. Here we use zebrafish to model the K115fs mutation to investigate the effects of forced PS2V-like expression on the transcriptomes of young adult and aged adult brains. Methods We edited the zebrafish genome to model the K115fs mutation. To explore its effects at the molecular level, we analysed the brain transcriptome and proteome of young (6-month-old) and aged (24-month-old) wild type and heterozygous mutant female sibling zebrafish. Finally, we used gene co-expression network analysis (WGCNA) to compare molecular changes in the brains of these fish to human AD. Results Young heterozygous mutant fish show transcriptional changes suggesting accelerated brain aging and increased glucocorticoid signalling. These early changes precede a transcriptional ‘inversion’ that leads to glucocorticoid resistance and other likely pathological changes in aged heterozygous mutant fish. Notably, microglia-associated immune responses regulated by the ETS transcription factor family are altered in both our zebrafish mutant model and in human AD. The molecular changes we observe in aged heterozygous mutant fish occur without obvious histopathology and possibly in the absence of Aβ. Conclusions Our results suggest that forced expression of a PS2V-like isoform contributes to immune and stress responses favouring AD pathogenesis. This highlights the value of our zebrafish genetic model for exploring molecular mechanisms involved in AD pathogenesis.
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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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Zhao T, Quan M, Jia J. Functional Connectivity of Default Mode Network Subsystems in the Presymptomatic Stage of Autosomal Dominant Alzheimer's Disease. J Alzheimers Dis 2020; 73:1435-1444. [PMID: 31929167 DOI: 10.3233/jad-191065] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND The default mode network (DMN) could be divided into subsystems, the functional connectivity of which are different across the Alzheimer's disease (AD) spectrum. However, the functional connectivity patterns within the subsystems are unknown in presymptomatic autosomal dominant AD (ADAD). OBJECTIVE To investigate functional connectivity patterns within the subsystems of the DMN in presymptomatic subjects carrying PSEN1, PSEN2, or APP gene mutations. METHODS Twenty-six presymptomatic mutation carriers (PMC) and twenty-nine cognitively normal non-carriers as normal controls (NC) from the same families underwent resting state functional MRI and structural MRI. Seed-based analyses were done to obtain functional connectivity of posterior and anterior DMN. For the regions that showed significant connectivity difference between PMC and NC, volumes were extracted and compared between the two groups. Connectivity measures were then correlated with cognitive tests scores. RESULTS The posterior DMN showed connectivity decrease in the PMC group as compared with the NC group, which was primarily the connectivity of left precuneus with right precuneus and superior frontal gyrus; the anterior DMN showed significant connectivity decrease in the PMC group, which was the connectivity of medial frontal gyrus with middle frontal gyrus. In the brain regions showing connectivity changes in the PMC group, there was no group difference in volume. A positive correlation was observed between the precuneus connectivity value and Mini-Mental State Examination total score. CONCLUSION Functional connectivity within both posterior and anterior DMN were disrupted in the presymptomatic stage of ADAD. Connectivity disruption within the posterior DMN may be useful for early identification of general cognitive decline and a potential imaging biomarker for early diagnosis.
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Affiliation(s)
- Tan Zhao
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Meina Quan
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
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Lamballais S, Muetzel RL, Ikram MA, Tiemeier H, Vernooij MW, White T, Adams HHH. Genetic Burden for Late-Life Neurodegenerative Disease and Its Association With Early-Life Lipids, Brain, Behavior, and Cognition. Front Psychiatry 2020; 11:33. [PMID: 32116848 PMCID: PMC7018686 DOI: 10.3389/fpsyt.2020.00033] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 01/10/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Genetics play a significant role in the etiology of late-life neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, and frontotemporal dementia. Part of the individual differences in risk for these diseases can be traced back decades before the onset of disease symptoms. Previous studies have shown evidence for plausible links of apolipoprotein E (APOE), the most important genetic marker for Alzheimer's disease, with early-life cognition and neuroimaging markers. We aimed to assess whether genome-wide genetic burden for the aforementioned neurodegenerative diseases plays a role in early-life processes. METHODS We studied children from the Generation R Study, a prospective birth cohort. APOE genotypes and polygenic genetic burdens for Alzheimer's disease, Parkinson's disease, and frontotemporal dementia were obtained through genome-wide genotyping. Non-verbal intelligence was assessed through cognitive tests at the research center around the age of 6 years, and educational attainment through a national school performance test around the age of 11 years. The Child Behavior Checklist was administered around the age of 10 years, and data from the anxious/depressed, withdrawn/depressed, and the internalizing behavior problems scales were used. Children participated in a neuroimaging study when they were 10 years old, in which structural brain metrics were obtained. Lipid serum profiles, which may be influenced by APOE genotype, were assessed from venal blood obtained around the age of 6 years. The sample size per analysis varied between 1,641 and 3,650 children due to completeness of data. RESULTS We did not find evidence that APOE genotype or the polygenic scores impact on childhood nonverbal intelligence, educational attainment, internalizing behavior, and global brain structural measures including total brain volume and whole brain fractional anisotropy (all p > 0.05). Carriership of the APOE ε2 allele was associated with lower and APOE ε4 with higher low-density lipoprotein cholesterol concentrations when compared to APOE ε3/ε3 carriers. CONCLUSION We found no evidence that genetic burden for late-life neurodegenerative diseases associates with early-life cognition, internalizing behavior, or global brain structure.
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Affiliation(s)
- Sander Lamballais
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Ryan L Muetzel
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Social and Behavioral Science, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
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Cerebrospinal fluid progranulin is associated with increased cortical thickness in early stages of Alzheimer's disease. Neurobiol Aging 2019; 88:61-70. [PMID: 31980280 DOI: 10.1016/j.neurobiolaging.2019.12.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 12/11/2019] [Accepted: 12/14/2019] [Indexed: 11/22/2022]
Abstract
Progranulin plays an important role in neuroinflammation in Alzheimer's disease (AD) pathophysiology, being upregulated by activated microglia. This study assessed whether cerebrospinal fluid levels of progranulin correlated with structural neuroimaging measures and cognition in 122 cognitively normal individuals, 81 mild cognitive impairment, and 70 AD patients from the Alzheimer's Disease Neuroimaging Initiative. Cognitively normal subjects were classified into 3 groups using the AT(N) system, whereas all mild cognitive impairment and AD patients were A+/TN+. Correlations between progranulin with neuroanatomical measures and cognitive decline were performed within each group. Progranulin was associated with cortical thickening in parietal, occipital, and frontal regions in cognitively normal individuals with amyloid pathology. These subjects also showed cortical thickening compared with A-/TN- subjects, an effect that was partially mediated by progranulin. In addition, higher progranulin correlated with longitudinal cognitive decline. The association between progranulin and cortical thickening, together with regional "brain swelling" in A+/TN- subjects, suggests progranulin contributes to the neuroinflammatory structural changes in preclinical AD.
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Calderón-Garcidueñas L, Mukherjee PS, Waniek K, Holzer M, Chao CK, Thompson C, Ruiz-Ramos R, Calderón-Garcidueñas A, Franco-Lira M, Reynoso-Robles R, Gónzalez-Maciel A, Lachmann I. Non-Phosphorylated Tau in Cerebrospinal Fluid is a Marker of Alzheimer's Disease Continuum in Young Urbanites Exposed to Air Pollution. J Alzheimers Dis 2019; 66:1437-1451. [PMID: 30412505 DOI: 10.3233/jad-180853] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Long-term exposure to fine particulate matter (PM2.5) and ozone (O3) above USEPA standards is associated with Alzheimer's disease (AD) risk. Metropolitan Mexico City (MMC) children exhibit subcortical pretangles in infancy and cortical tau pre-tangles, NFTs, and amyloid phases 1-2 by the 2nd decade. Given their AD continuum, we measured in 507 normal cerebrospinal fluid (CSF) samples (MMC 354, controls 153, 12.82±6.73 y), a high affinity monoclonal non-phosphorylated tau antibody (non-P-Tau), as a potential biomarker of AD and axonal damage. In 81 samples, we also measured total tau (T-Tau), tau phosphorylated at threonine 181 (P-Tau), amyloid-β1-42, BDNF, and vitamin D. We documented by electron microscopy myelinated axonal size and the pathology associated with combustion-derived nanoparticles (CDNPs) in anterior cingulate cortex white matter in 6 young residents (16.25±3.34 y). Non-P-Tau showed a strong increase with age significantly faster among MMC versus controls (p = 0.0055). Aβ1 - 42 and BDNF concentrations were lower in MMC children (p = 0.002 and 0.03, respectively). Anterior cingulate cortex showed a significant decrease (p = <0.0001) in the average axonal size and CDNPs were associated with organelle pathology. Significant age increases in non-P-Tau support tau changes early in a population with axonal pathology and evolving AD hallmarks in the first two decades of life. Non-P-Tau is an early biomarker of axonal damage and potentially valuable to monitor progressive longitudinal changes along with AD multianalyte classical CSF markers. Neuroprotection of young urbanites with PM2.5 and CDNPs exposures ought to be a public health priority to halt the development of AD in the first two decades of life.
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Affiliation(s)
| | | | | | - Max Holzer
- Paul-Flechsig-Institute for Brain Research, Leipzig, Germany
| | | | | | - Rubén Ruiz-Ramos
- Instituto de Medicina Forense, Universidad Veracruzana, Boca del Rio, Mexico
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Ben-Nejma IRH, Keliris AJ, Daans J, Ponsaerts P, Verhoye M, Van der Linden A, Keliris GA. Increased soluble amyloid-beta causes early aberrant brain network hypersynchronisation in a mature-onset mouse model of amyloidosis. Acta Neuropathol Commun 2019; 7:180. [PMID: 31727182 PMCID: PMC6857138 DOI: 10.1186/s40478-019-0810-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 09/14/2019] [Indexed: 02/06/2023] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia in the elderly. According to the amyloid hypothesis, the accumulation and deposition of amyloid-beta (Aβ) peptides play a key role in AD. Soluble Aβ (sAβ) oligomers were shown to be involved in pathological hypersynchronisation of brain resting-state networks in different transgenic developmental-onset mouse models of amyloidosis. However, the impact of protein overexpression during brain postnatal development may cause additional phenotypes unrelated to AD. To address this concern, we investigated sAβ effects on functional resting-state networks in transgenic mature-onset amyloidosis Tet-Off APP (TG) mice. TG mice and control littermates were raised on doxycycline (DOX) diet from 3d up to 3 m of age to suppress transgenic Aβ production. Thereafter, longitudinal resting-state functional MRI was performed on a 9.4 T MR-system starting from week 0 (3 m old mice) up to 28w post DOX treatment. Ex-vivo immunohistochemistry and ELISA analysis was performed to assess the development of amyloid pathology. Functional Connectivity (FC) analysis demonstrated early abnormal hypersynchronisation in the TG mice compared to the controls at 8w post DOX treatment, particularly across regions of the default mode-like network, known to be affected in AD. Ex-vivo analyses performed at this time point confirmed a 20-fold increase in total sAβ levels preceding the apparition of Aβ plaques and inflammatory responses in the TG mice compared to the controls. On the contrary at week 28, TG mice showed an overall hypoconnectivity, coinciding with a widespread deposition of Aβ plaques in the brain. By preventing developmental influence of APP and/or sAβ during brain postnatal development, we demonstrated FC abnormalities potentially driven by sAβ neurotoxicity on resting-state neuronal networks in mature-induced TG mice. Thus, the Tet-Off APP mouse model could be a powerful tool while used as a mature-onset model to shed light into amyloidosis mechanisms in AD.
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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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47
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Quiroz YT, Sperling RA, Norton DJ, Baena A, Arboleda-Velasquez JF, Cosio D, Schultz A, Lapoint M, Guzman-Velez E, Miller JB, Kim LA, Chen K, Tariot PN, Lopera F, Reiman EM, Johnson KA. Association Between Amyloid and Tau Accumulation in Young Adults With Autosomal Dominant Alzheimer Disease. JAMA Neurol 2019; 75:548-556. [PMID: 29435558 DOI: 10.1001/jamaneurol.2017.4907] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance It is critically important to improve our ability to diagnose and track Alzheimer disease (AD) as early as possible. Individuals with autosomal dominant forms of AD can provide clues as to which and when biological changes are reliably present prior to the onset of clinical symptoms. Objective To characterize the associations between amyloid and tau deposits in the brains of cognitively unimpaired and impaired carriers of presenilin 1 (PSEN1) E280A mutation. Design, Setting, and Participants In this cross-sectional imaging study, we leveraged data from a homogeneous autosomal dominant AD kindred, which allowed us to examine measurable tau deposition as a function of individuals' proximity to the expected onset of dementia. Cross-sectional measures of carbon 11-labeled Pittsburgh Compound B positron emission tomography (PET) and flortaucipir F 18 (previously known as AV 1451, T807) PET imaging were assessed in 24 PSEN1 E280A kindred members (age range, 28-55 years), including 12 carriers, 9 of whom were cognitively unimpaired and 3 of whom had mild cognitive impairment, and 12 cognitively unimpaired noncarriers. Main Outcomes and Measures We compared carbon 11-labeled Pittsburgh Compound B PET cerebral with cerebellar distribution volume ratios as well as flortaucipir F 18 PET cerebral with cerebellar standardized uptake value ratios in mutation carriers and noncarriers. Spearman correlations characterized the associations between age and mean cortical Pittsburgh Compound B distribution volume ratio levels or regional flortaucipir standardized uptake value ratio levels in both groups. Results Of the 24 individuals, the mean (SD) age was 38.0 (7.4) years, or approximately 6 years younger than the expected onset of clinical symptoms in carriers. Compared with noncarriers, cognitively unimpaired mutation carriers had elevated mean cortical Pittsburgh Compound B distribution volume ratio levels in their late 20s, and 7 of 9 carriers older than 30 years reached the threshold for amyloidosis (distribution volume ratio level > 1.2). Elevated levels of tau deposition were seen within medial temporal lobe regions in amyloid-positive mutation carriers 6 years before clinical onset of AD in this kindred. Substantial tau deposition in the neocortex was only observed in 1 unimpaired carrier and in those with mild cognitive impairment. β-Amyloid uptake levels were diffusely elevated in unimpaired carriers approximately 15 years prior to expected onset of mild cognitive impairment. In carriers, higher levels of tau deposition were associated with worse performance on the Mini-Mental State Examination (entorhinal cortex: r = -0.60; P = .04; inferior temporal lobe: r = -0.54; P = .06) and the Consortium to Establish a Registry for Alzheimer Disease Word List Delayed Recall (entorhinal cortex: r = -0.86; P < .001; inferior temporal lobe: r = -0.70; P = .01). Conclusions and Relevance The present findings add to the growing evidence that molecular markers can characterize biological changes associated with AD in individuals who are still cognitively unimpaired. The findings also suggest that tau PET imaging may be useful as a biomarker to distinguish individuals at high risk to develop the clinical symptoms of AD and to track disease progression.
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Affiliation(s)
- Yakeel T Quiroz
- Massachusetts General Hospital, Harvard Medical School, Boston.,Grupo de Neurociencias, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | - Reisa A Sperling
- Massachusetts General Hospital, Harvard Medical School, Boston.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.,Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daniel J Norton
- Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ana Baena
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | | | - Danielle Cosio
- Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge
| | - Aaron Schultz
- Massachusetts General Hospital, Harvard Medical School, Boston.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts
| | - Molly Lapoint
- Massachusetts General Hospital, Harvard Medical School, Boston.,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts
| | | | - John B Miller
- Massachusetts Eye and Ear, Harvard Medical School, Boston
| | - Leo A Kim
- Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston.,Massachusetts Eye and Ear, Harvard Medical School, Boston
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona
| | | | - Francisco Lopera
- Grupo de Neurociencias, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | | | - Keith A Johnson
- Massachusetts General Hospital, Harvard Medical School, Boston.,Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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48
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Villalba AC, García J, Ramos C, Cuastumal AR, Aguillón D, Aguirre-Acevedo DC, Madrigal L, Lopera F. Mental Disorders in Young Adults from Families with the Presenilin-1 Gene Mutation E280A in the Preclinical Stage of Alzheimer's Disease. J Alzheimers Dis Rep 2019; 3:241-250. [PMID: 31754656 PMCID: PMC6839534 DOI: 10.3233/adr-190139] [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] [Accepted: 06/24/2019] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND There are forms of Alzheimer's disease (AD) that have an autosomal dominant inheritance pattern; one of them is caused by the E280A mutation in the gene that codes for Presenilin-1 (PSEN1). Studying families of people with this mutation allows the evaluation of characteristics of the subjects before cognitive decline begins. OBJECTIVE To determine whether having the mutation E280A in PSEN1 increases the risk of presenting mental disorders in adults under 30 years old who are in the preclinical stage of AD and may be eligible for primary prevention studies of AD. METHODS A psychiatric evaluation was made to 120 people belonging to families with a history of early onset AD. Of these, 62 carried the E280A mutation in PSEN1. The occurrence of mental disorders between carriers and non-carriers of the mutation was compared. RESULTS No statistically significant differences were found in the frequency of any mental disorder between the group of carriers and non-carriers of the mutation (Hazard Ratio: 0.80, 95% CI 0.49 to 1.31); nor were differences observed when evaluating specific disorders. CONCLUSION The E280A mutation does not increase the risk of mental disorders before the age of 30 in the relatives of people affected by familial AD. Studies with larger sample sizes are required to assess the risk of low incidence mental disorders.
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Affiliation(s)
- Arvey Camilo Villalba
- Department of Psychiatry, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Jenny García
- Department of Psychiatry, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
- Academic Group in Clinical Epidemiology (GRAEPIC), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Claudia Ramos
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Amanda Rosario Cuastumal
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - David Aguillón
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Daniel Camilo Aguirre-Acevedo
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
- Medical Research Institute, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Lucia Madrigal
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Francisco Lopera
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
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49
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Villalba AC, García J, Ramos C, Cuastumal AR, Aguillón D, Aguirre-Acevedo DC, Madrigal L, Lopera F. WITHDRAWN: Mental Disorders in Young Adults from Families with the Presenilin-1 Gene Mutation E280A in the Preclinical Stage of Alzheimer's Disease. J Alzheimers Dis 2019:JAD181013. [PMID: 31381509 DOI: 10.3233/jad-181013] [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
Ahead of Print article withdrawn by publisher.
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Affiliation(s)
- Arvey Camilo Villalba
- Department of Psychiatry, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Jenny García
- Department of Psychiatry, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
- Academic Group in Clinical Epidemiology (GRAEPIC), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Claudia Ramos
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Amanda Rosario Cuastumal
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - David Aguillón
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Daniel Camilo Aguirre-Acevedo
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
- Medical Research Institute, Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Lucia Madrigal
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
| | - Francisco Lopera
- Neuroscience Group of Antioquia (GNA), Faculty of Medicine of the University of Antioquia, Medellín, Antioquia, Colombia
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Cauda F, Nani A, Manuello J, Premi E, Palermo S, Tatu K, Duca S, Fox PT, Costa T. Brain structural alterations are distributed following functional, anatomic and genetic connectivity. Brain 2019; 141:3211-3232. [PMID: 30346490 DOI: 10.1093/brain/awy252] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 08/22/2018] [Indexed: 12/18/2022] Open
Abstract
The pathological brain is characterized by distributed morphological or structural alterations in the grey matter, which tend to follow identifiable network-like patterns. We analysed the patterns formed by these alterations (increased and decreased grey matter values detected with the voxel-based morphometry technique) conducting an extensive transdiagnostic search of voxel-based morphometry studies in a large variety of brain disorders. We devised an innovative method to construct the networks formed by the structurally co-altered brain areas, which can be considered as pathological structural co-alteration patterns, and to compare these patterns with three associated types of connectivity profiles (functional, anatomical, and genetic). Our study provides transdiagnostical evidence that structural co-alterations are influenced by connectivity constraints rather than being randomly distributed. Analyses show that although all the three types of connectivity taken together can account for and predict with good statistical accuracy, the shape and temporal development of the co-alteration patterns, functional connectivity offers the better account of the structural co-alteration, followed by anatomic and genetic connectivity. These results shed new light on the possible mechanisms at the root of neuropathological processes and open exciting prospects in the quest for a better understanding of brain disorders.
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Affiliation(s)
- Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Enrico Premi
- Stroke Unit, Azienda Socio Sanitaria Territoriale Spedali Civili, Spedali Civili Hospital, Brescia, Italy.,Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Sara Palermo
- Department of Neuroscience, University of Turin, Turin, Italy
| | - Karina Tatu
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio, Texas, USA.,South Texas Veterans Health Care System, San Antonio, Texas, USA
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.,FOCUS Lab, Department of Psychology, University of Turin, Turin, Italy
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