Literature DB >> 25988462

Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis.

Willemijn J Jansen1, Rik Ossenkoppele2, Dirk L Knol3, Betty M Tijms4, Philip Scheltens4, Frans R J Verhey1, Pieter Jelle Visser5, Pauline Aalten1, Dag Aarsland6, Daniel Alcolea7, Myriam Alexander8, Ina S Almdahl9, Steven E Arnold10, Inês Baldeiras11, Henryk Barthel12, Bart N M van Berckel13, Kristen Bibeau14, Kaj Blennow15, David J Brooks16, Mark A van Buchem17, Vincent Camus18, Enrica Cavedo19, Kewei Chen20, Gael Chetelat21, Ann D Cohen22, Alexander Drzezga23, Sebastiaan Engelborghs24, Anne M Fagan25, Tormod Fladby9, Adam S Fleisher26, Wiesje M van der Flier27, Lisa Ford28, Stefan Förster29, Juan Fortea7, Nadia Foskett8, Kristian S Frederiksen30, Yvonne Freund-Levi31, Giovanni B Frisoni32, Lutz Froelich33, Tomasz Gabryelewicz34, Kiran Dip Gill35, Olymbia Gkatzima36, Estrella Gómez-Tortosa37, Mark Forrest Gordon38, Timo Grimmer39, Harald Hampel40, Lucrezia Hausner33, Sabine Hellwig41, Sanna-Kaisa Herukka42, Helmut Hildebrandt43, Lianna Ishihara44, Adrian Ivanoiu45, William J Jagust46, Peter Johannsen47, Ramesh Kandimalla48, Elisabeth Kapaki49, Aleksandra Klimkowicz-Mrowiec50, William E Klunk22, Sebastian Köhler1, Norman Koglin51, Johannes Kornhuber52, Milica G Kramberger53, Koen Van Laere54, Susan M Landau46, Dong Young Lee55, Mony de Leon56, Viviana Lisetti57, Alberto Lleó7, Karine Madsen58, Wolfgang Maier59, Jan Marcusson60, Niklas Mattsson61, Alexandre de Mendonça62, Olga Meulenbroek63, Philipp T Meyer64, Mark A Mintun65, Vincent Mok66, José Luis Molinuevo67, Hanne M Møllergård9, John C Morris25, Barbara Mroczko68, Stefan Van der Mussele24, Duk L Na69, Andrew Newberg70, Agneta Nordberg71, Arto Nordlund15, Gerald P Novak28, George P Paraskevas49, Lucilla Parnetti57, Gayan Perera72, Oliver Peters73, Julius Popp74, Sudesh Prabhakar75, Gil D Rabinovici76, Inez H G B Ramakers1, Lorena Rami67, Catarina Resende de Oliveira11, Juha O Rinne77, Karen M Rodrigue78, Eloy Rodríguez-Rodríguez79, Catherine M Roe25, Uros Rot53, Christopher C Rowe80, Eckart Rüther81, Osama Sabri12, Páscual Sanchez-Juan79, Isabel Santana11, Marie Sarazin82, Johannes Schröder83, Christin Schütte43, Sang W Seo69, Femke Soetewey24, Hilkka Soininen42, Luiza Spiru84, Hanne Struyfs24, Charlotte E Teunissen85, Magda Tsolaki36, Rik Vandenberghe86, Marcel M Verbeek87, Victor L Villemagne80, Stephanie J B Vos1, Linda J C van Waalwijk van Doorn87, Gunhild Waldemar30, Anders Wallin15, Åsa K Wallin61, Jens Wiltfang81, David A Wolk10, Marzena Zboch88, Henrik Zetterberg89.   

Abstract

IMPORTANCE: Cerebral amyloid-β aggregation is an early pathological event in Alzheimer disease (AD), starting decades before dementia onset. Estimates of the prevalence of amyloid pathology in persons without dementia are needed to understand the development of AD and to design prevention studies.
OBJECTIVE: To use individual participant data meta-analysis to estimate the prevalence of amyloid pathology as measured with biomarkers in participants with normal cognition, subjective cognitive impairment (SCI), or mild cognitive impairment (MCI). DATA SOURCES: Relevant biomarker studies identified by searching studies published before April 2015 using the MEDLINE and Web of Science databases and through personal communication with investigators. STUDY SELECTION: Studies were included if they provided individual participant data for participants without dementia and used an a priori defined cutoff for amyloid positivity. DATA EXTRACTION AND SYNTHESIS: Individual records were provided for 2914 participants with normal cognition, 697 with SCI, and 3972 with MCI aged 18 to 100 years from 55 studies. MAIN OUTCOMES AND MEASURES: Prevalence of amyloid pathology on positron emission tomography or in cerebrospinal fluid according to AD risk factors (age, apolipoprotein E [APOE] genotype, sex, and education) estimated by generalized estimating equations.
RESULTS: The prevalence of amyloid pathology increased from age 50 to 90 years from 10% (95% CI, 8%-13%) to 44% (95% CI, 37%-51%) among participants with normal cognition; from 12% (95% CI, 8%-18%) to 43% (95% CI, 32%-55%) among patients with SCI; and from 27% (95% CI, 23%-32%) to 71% (95% CI, 66%-76%) among patients with MCI. APOE-ε4 carriers had 2 to 3 times higher prevalence estimates than noncarriers. The age at which 15% of the participants with normal cognition were amyloid positive was approximately 40 years for APOE ε4ε4 carriers, 50 years for ε2ε4 carriers, 55 years for ε3ε4 carriers, 65 years for ε3ε3 carriers, and 95 years for ε2ε3 carriers. Amyloid positivity was more common in highly educated participants but not associated with sex or biomarker modality. CONCLUSIONS AND RELEVANCE: Among persons without dementia, the prevalence of cerebral amyloid pathology as determined by positron emission tomography or cerebrospinal fluid findings was associated with age, APOE genotype, and presence of cognitive impairment. These findings suggest a 20- to 30-year interval between first development of amyloid positivity and onset of dementia.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25988462      PMCID: PMC4486209          DOI: 10.1001/jama.2015.4668

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  48 in total

1.  Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans.

Authors:  Anne M Fagan; Mark A Mintun; Robert H Mach; Sang-Yoon Lee; Carmen S Dence; Aarti R Shah; Gina N LaRossa; Michael L Spinner; William E Klunk; Chester A Mathis; Steven T DeKosky; John C Morris; David M Holtzman
Journal:  Ann Neurol       Date:  2006-03       Impact factor: 10.422

2.  Neuropathology of older persons without cognitive impairment from two community-based studies.

Authors:  D A Bennett; J A Schneider; Z Arvanitakis; J F Kelly; N T Aggarwal; R C Shah; R S Wilson
Journal:  Neurology       Date:  2006-06-27       Impact factor: 9.910

3.  Reversal of apoE4-driven brain pathology and behavioral deficits by bexarotene.

Authors:  Anat Boehm-Cagan; Daniel M Michaelson
Journal:  J Neurosci       Date:  2014-05-21       Impact factor: 6.167

4.  Alzheimer disease identification using amyloid imaging and reserve variables: proof of concept.

Authors:  C M Roe; M A Mintun; N Ghoshal; M M Williams; E A Grant; D S Marcus; J C Morris
Journal:  Neurology       Date:  2010-07-06       Impact factor: 9.910

5.  Age, Sex, and APOE ε4 Effects on Memory, Brain Structure, and β-Amyloid Across the Adult Life Span.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; David S Knopman; Prashanthi Vemuri; Michelle M Mielke; Val Lowe; Matthew L Senjem; Jeffrey L Gunter; Mary M Machulda; Brian E Gregg; V Shane Pankratz; Walter A Rocca; Ronald C Petersen
Journal:  JAMA Neurol       Date:  2015-05       Impact factor: 18.302

6.  Age-specific population frequencies of cerebral β-amyloidosis and neurodegeneration among people with normal cognitive function aged 50-89 years: a cross-sectional study.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Walter A Rocca; David S Knopman; Michelle M Mielke; Val J Lowe; Matthew L Senjem; Jeffrey L Gunter; Gregory M Preboske; Vernon S Pankratz; Prashanthi Vemuri; Ronald C Petersen
Journal:  Lancet Neurol       Date:  2014-09-04       Impact factor: 44.182

7.  Concordance between cerebrospinal fluid biomarkers and [11C]PIB PET in a memory clinic cohort.

Authors:  Marissa Zwan; Argonde van Harten; Rik Ossenkoppele; Femke Bouwman; Charlotte Teunissen; Sofie Adriaanse; Adriaan Lammertsma; Philip Scheltens; Bart van Berckel; Wiesje van der Flier
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

8.  Accuracy of brain amyloid detection in clinical practice using cerebrospinal fluid β-amyloid 42: a cross-validation study against amyloid positron emission tomography.

Authors:  Sebastian Palmqvist; Henrik Zetterberg; Kaj Blennow; Susanna Vestberg; Ulf Andreasson; David J Brooks; Rikard Owenius; Douglas Hägerström; Per Wollmer; Lennart Minthon; Oskar Hansson
Journal:  JAMA Neurol       Date:  2014-10       Impact factor: 18.302

9.  The incidence of dementia in England and Wales: findings from the five identical sites of the MRC CFA Study.

Authors:  Fiona Matthews; Carol Brayne
Journal:  PLoS Med       Date:  2005-08-23       Impact factor: 11.069

Review 10.  Systematic review of methods for individual patient data meta- analysis with binary outcomes.

Authors:  Doneal Thomas; Sanyath Radji; Andrea Benedetti
Journal:  BMC Med Res Methodol       Date:  2014-06-19       Impact factor: 4.615

View more
  499 in total

1.  To Keto or Not to Keto? A Systematic Review of Randomized Controlled Trials Assessing the Effects of Ketogenic Therapy on Alzheimer Disease.

Authors:  Maria G Grammatikopoulou; Dimitrios G Goulis; Konstantinos Gkiouras; Xenophon Theodoridis; Kalliopi K Gkouskou; Athanasios Evangeliou; Efthimis Dardiotis; Dimitrios P Bogdanos
Journal:  Adv Nutr       Date:  2020-11-16       Impact factor: 8.701

2.  Prediction of future Alzheimer's disease dementia using plasma phospho-tau combined with other accessible measures.

Authors:  Sebastian Palmqvist; Pontus Tideman; Nicholas Cullen; Henrik Zetterberg; Kaj Blennow; Jeffery L Dage; Erik Stomrud; Shorena Janelidze; Niklas Mattsson-Carlgren; Oskar Hansson
Journal:  Nat Med       Date:  2021-05-24       Impact factor: 53.440

Review 3.  [Mechanisms of Alzheimer's disease : Neuronal hyperactivity and hypoactivity as new therapeutic targets].

Authors:  M A Busche; M Staufenbiel; M Willem; C Haass; H Förstl
Journal:  Nervenarzt       Date:  2016-11       Impact factor: 1.214

4.  Older Adults Taking AT1-Receptor Blockers Exhibit Reduced Cerebral Amyloid Retention.

Authors:  Daniel A Nation; Jean Ho; Belinda Yew
Journal:  J Alzheimers Dis       Date:  2016       Impact factor: 4.472

5.  Feasibility and acceptance of simultaneous amyloid PET/MRI.

Authors:  Lisa Schütz; Donald Lobsien; Dominik Fritzsch; Solveig Tiepolt; Peter Werner; Matthias L Schroeter; Jörg Berrouschot; Dorothee Saur; Swen Hesse; Thies Jochimsen; Michael Rullmann; Bernhard Sattler; Marianne Patt; Hermann-Josef Gertz; Arno Villringer; Joseph Claßen; Karl-Titus Hoffmann; Osama Sabri; Henryk Barthel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-19       Impact factor: 9.236

Review 6.  An updated diagnostic approach to subtype definition of vascular parkinsonism - Recommendations from an expert working group.

Authors:  Ivan Rektor; Nicolaas I Bohnen; Amos D Korczyn; Viktoria Gryb; Hrishikesh Kumar; Milica G Kramberger; Frank-Erik de Leeuw; Zvezdan Pirtošek; Irena Rektorová; Ilana Schlesinger; Jaroslaw Slawek; Peter Valkovič; Branislav Veselý
Journal:  Parkinsonism Relat Disord       Date:  2017-12-29       Impact factor: 4.891

7.  ApoE4 Accelerates Early Seeding of Amyloid Pathology.

Authors:  Chia-Chen Liu; Na Zhao; Yuan Fu; Na Wang; Cynthia Linares; Chih-Wei Tsai; Guojun Bu
Journal:  Neuron       Date:  2017-12-06       Impact factor: 17.173

8.  A 2-Step Cerebrospinal Algorithm for the Selection of Frontotemporal Lobar Degeneration Subtypes.

Authors:  Alberto Lleó; David J Irwin; Ignacio Illán-Gala; Corey T McMillan; David A Wolk; Edward B Lee; Vivianna M Van Deerlin; Leslie M Shaw; John Q Trojanowski; Murray Grossman
Journal:  JAMA Neurol       Date:  2018-06-01       Impact factor: 18.302

9.  Defining imaging biomarker cut points for brain aging and Alzheimer's disease.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Jeffrey L Gunter; Matthew L Senjem; David T Jones; Kejal Kantarci; Mary M Machulda; Michelle M Mielke; Rosebud O Roberts; Prashanthi Vemuri; Denise A Reyes; Ronald C Petersen
Journal:  Alzheimers Dement       Date:  2016-09-30       Impact factor: 21.566

10.  Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age.

Authors:  J M G van Bergen; X Li; F C Quevenco; A F Gietl; V Treyer; R Meyer; A Buck; P A Kaufmann; R M Nitsch; P C M van Zijl; C Hock; P G Unschuld
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.