Literature DB >> 35858992

Evaluation of in vivo staging of amyloid deposition in cognitively unimpaired elderly aged 78-94.

Malgorzata M Michalowska1,2,3, Karl Herholz1,4,5, Rainer Hinz1, Chinenye Amadi1,4, Lynn McInnes6, Jose M Anton-Rodriguez1,7, Thomas K Karikari8,9, Kaj Blennow8,10, Henrik Zetterberg8,10,11,12,13, Nicholas J Ashton8,14,15,16, Neil Pendleton4, Stephen F Carter17,18.   

Abstract

Amyloid-beta (Aβ) deposition is common in cognitively unimpaired (CU) elderly >85 years. This study investigated amyloid distribution and evaluated three published in vivo amyloid-PET staging schemes from a cognitively unimpaired (CU) cohort aged 84.9 ± 4.3 years (n = 75). SUV-based principal component analysis (PCA) was applied to 18F-flutemetamol PET data to determine an unbiased regional covariance pattern of tracer uptake across grey matter regions. PET staging schemes were applied to the data and compared to the PCA output. Concentration of p-tau181 was measured in blood plasma. The PCA revealed three distinct components accounting for 91.2% of total SUV variance. PC1 driven by the large common variance of uptake in neocortical and striatal regions was significantly positively correlated with global SUVRs, APOE4 status and p-tau181 concentration. PC2 represented mainly non-specific uptake in typical amyloid-PET reference regions, and PC3 the occipital lobe. Application of the staging schemes demonstrated that the majority of the CU cohort (up to 93%) were classified as having pathological amount and distribution of Aβ. Good correspondence existed between binary (+/-) classification and later amyloid stages, however, substantial differences existed between schemes for low stages with 8-17% of individuals being unstageable, i.e., not following the sequential progression of Aβ deposition. In spite of the difference in staging outcomes there was broad spatial overlap between earlier stages and PC1, most prominently in default mode network regions. This study critically evaluated the utility of in vivo amyloid staging from a single PET scan in CU elderly and found that early amyloid stages could not be consistently classified. The majority of the cohort had pathological Aβ, thus, it remains an open topic what constitutes abnormal brain Aβ in the oldest-old and what is the best method to determine that.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35858992     DOI: 10.1038/s41380-022-01685-6

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   13.437


  49 in total

1.  Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

Authors:  Clifford R Jack; David S Knopman; William J Jagust; Ronald C Petersen; Michael W Weiner; Paul S Aisen; Leslie M Shaw; Prashanthi Vemuri; Heather J Wiste; Stephen D Weigand; Timothy G Lesnick; Vernon S Pankratz; Michael C Donohue; John Q Trojanowski
Journal:  Lancet Neurol       Date:  2013-02       Impact factor: 44.182

2.  In vivo cortical spreading pattern of tau and amyloid in the Alzheimer disease spectrum.

Authors:  Hanna Cho; Jae Yong Choi; Mi Song Hwang; You Jin Kim; Hye Mi Lee; Hye Sun Lee; Jae Hoon Lee; Young Hoon Ryu; Myung Sik Lee; Chul Hyoung Lyoo
Journal:  Ann Neurol       Date:  2016-07-08       Impact factor: 10.422

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

Authors:  Willemijn J Jansen; Rik Ossenkoppele; Dirk L Knol; Betty M Tijms; Philip Scheltens; Frans R J Verhey; Pieter Jelle Visser; Pauline Aalten; Dag Aarsland; Daniel Alcolea; Myriam Alexander; Ina S Almdahl; Steven E Arnold; Inês Baldeiras; Henryk Barthel; Bart N M van Berckel; Kristen Bibeau; Kaj Blennow; David J Brooks; Mark A van Buchem; Vincent Camus; Enrica Cavedo; Kewei Chen; Gael Chetelat; Ann D Cohen; Alexander Drzezga; Sebastiaan Engelborghs; Anne M Fagan; Tormod Fladby; Adam S Fleisher; Wiesje M van der Flier; Lisa Ford; Stefan Förster; Juan Fortea; Nadia Foskett; Kristian S Frederiksen; Yvonne Freund-Levi; Giovanni B Frisoni; Lutz Froelich; Tomasz Gabryelewicz; Kiran Dip Gill; Olymbia Gkatzima; Estrella Gómez-Tortosa; Mark Forrest Gordon; Timo Grimmer; Harald Hampel; Lucrezia Hausner; Sabine Hellwig; Sanna-Kaisa Herukka; Helmut Hildebrandt; Lianna Ishihara; Adrian Ivanoiu; William J Jagust; Peter Johannsen; Ramesh Kandimalla; Elisabeth Kapaki; Aleksandra Klimkowicz-Mrowiec; William E Klunk; Sebastian Köhler; Norman Koglin; Johannes Kornhuber; Milica G Kramberger; Koen Van Laere; Susan M Landau; Dong Young Lee; Mony de Leon; Viviana Lisetti; Alberto Lleó; Karine Madsen; Wolfgang Maier; Jan Marcusson; Niklas Mattsson; Alexandre de Mendonça; Olga Meulenbroek; Philipp T Meyer; Mark A Mintun; Vincent Mok; José Luis Molinuevo; Hanne M Møllergård; John C Morris; Barbara Mroczko; Stefan Van der Mussele; Duk L Na; Andrew Newberg; Agneta Nordberg; Arto Nordlund; Gerald P Novak; George P Paraskevas; Lucilla Parnetti; Gayan Perera; Oliver Peters; Julius Popp; Sudesh Prabhakar; Gil D Rabinovici; Inez H G B Ramakers; Lorena Rami; Catarina Resende de Oliveira; Juha O Rinne; Karen M Rodrigue; Eloy Rodríguez-Rodríguez; Catherine M Roe; Uros Rot; Christopher C Rowe; Eckart Rüther; Osama Sabri; Páscual Sanchez-Juan; Isabel Santana; Marie Sarazin; Johannes Schröder; Christin Schütte; Sang W Seo; Femke Soetewey; Hilkka Soininen; Luiza Spiru; Hanne Struyfs; Charlotte E Teunissen; Magda Tsolaki; Rik Vandenberghe; Marcel M Verbeek; Victor L Villemagne; Stephanie J B Vos; Linda J C van Waalwijk van Doorn; Gunhild Waldemar; Anders Wallin; Åsa K Wallin; Jens Wiltfang; David A Wolk; Marzena Zboch; Henrik Zetterberg
Journal:  JAMA       Date:  2015-05-19       Impact factor: 56.272

4.  Progression of regional neuropathology in Alzheimer disease and normal elderly: findings from the Nun study.

Authors:  D S Wolf; M Gearing; D A Snowdon; H Mori; W R Markesbery; S S Mirra
Journal:  Alzheimer Dis Assoc Disord       Date:  1999 Oct-Dec       Impact factor: 2.703

5.  Phases of A beta-deposition in the human brain and its relevance for the development of AD.

Authors:  Dietmar R Thal; Udo Rüb; Mario Orantes; Heiko Braak
Journal:  Neurology       Date:  2002-06-25       Impact factor: 9.910

6.  Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography.

Authors:  Niklas Mattsson; Sebastian Palmqvist; Erik Stomrud; Jacob Vogel; Oskar Hansson
Journal:  JAMA Neurol       Date:  2019-11-01       Impact factor: 18.302

7.  In vivo staging of regional amyloid deposition.

Authors:  Michel J Grothe; Henryk Barthel; Jorge Sepulcre; Martin Dyrba; Osama Sabri; Stefan J Teipel
Journal:  Neurology       Date:  2017-10-18       Impact factor: 11.800

8.  Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β-protein deposition.

Authors:  Dietmar Rudolf Thal; Thomas G Beach; Michelle Zanette; Johan Lilja; Kerstin Heurling; Aruna Chakrabarty; Azzam Ismail; Gill Farrar; Christopher Buckley; Adrian P L Smith
Journal:  Acta Neuropathol       Date:  2018-08-19       Impact factor: 17.088

9.  Association of Cognitive Function Trajectories in Centenarians With Postmortem Neuropathology, Physical Health, and Other Risk Factors for Cognitive Decline.

Authors:  Nina Beker; Andrea Ganz; Marc Hulsman; Thomas Klausch; Ben A Schmand; Philip Scheltens; Sietske A M Sikkes; Henne Holstege
Journal:  JAMA Netw Open       Date:  2021-01-04

10.  Longitudinal validity of PET-based staging of regional amyloid deposition.

Authors:  Irina Jelistratova; Stefan J Teipel; Michel J Grothe
Journal:  Hum Brain Mapp       Date:  2020-07-10       Impact factor: 5.399

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