Literature DB >> 28383676

Biochemically-defined pools of amyloid-β in sporadic Alzheimer's disease: correlation with amyloid PET.

Blaine R Roberts1, Monica Lind1, Aaron Z Wagen1, Alan Rembach1, Tony Frugier2, Qiao-Xin Li1, Timothy M Ryan1, Catriona A McLean1,3, James D Doecke4, Christopher C Rowe1,5, Victor L Villemagne1,5, Colin L Masters1.   

Abstract

We fractionated frontal cortical grey matter from human Alzheimer's disease and control subjects into four biochemically defined pools that represent four distinct compartments: soluble/cytosolic, peripheral membrane/vesicular cargo, integral lipid/membranous pools and aggregated/insoluble debris. Most of the readily extractable amyloid-β remains associated with a lipid/membranous compartment. There is an exchange of amyloid-β between the biochemical pools that was lost for the amyloid-β42 species in Alzheimer's disease, consistent with the peptide being irreversibly trapped in extracellular deposits. The quantitative amyloid-β data, combined with magnetic resonance imaging volumetric analysis of the amount of cortical grey matter in brain, allowed us to estimate the total mass of amyloid-β in Alzheimer's disease (6.5 mg) and control (1.7 mg) brains. The threshold positron emission tomography standard uptake value ratio of 1.4 equates to 5.0 μg amyloid-β/g of grey matter and the mean Alzheimer's disease dementia standard uptake value ratio level of 2.3 equates to 11.20 μg amyloid-β/g of grey matter. It takes 19 years to accumulate amyloid from the threshold positron emission tomography standard uptake value ratio to the mean value observed for Alzheimer's disease dementia. This accumulation time window combined with the difference of 4.8 mg of amyloid-β between Alzheimer's disease and control brain allows for a first approximation of amyloid-β accumulation of 28 ng/h. This equates to an estimated 2-5% of the total amyloid-β production being deposited as insoluble plaques. Understanding these rates of amyloid-β accumulation allows for a more quantitative approach in targeting the failure of amyloid-β clearance in sporadic Alzheimer's disease.
© The Author (2017). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Alzheimer’s disease; amyloid imaging; amyloid-β; biomarkers

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Substances:

Year:  2017        PMID: 28383676     DOI: 10.1093/brain/awx057

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  39 in total

1.  Increased cerebral blood volume in small arterial vessels is a correlate of amyloid-β-related cognitive decline.

Authors:  Jun Hua; SeungWook Lee; Nicholas I S Blair; Michael Wyss; Jiri M G van Bergen; Simon J Schreiner; Sonja M Kagerer; Sandra E Leh; Anton F Gietl; Valerie Treyer; Alfred Buck; Roger M Nitsch; Klaas P Pruessmann; Hanzhang Lu; Peter C M Van Zijl; Marilyn Albert; Christoph Hock; Paul G Unschuld
Journal:  Neurobiol Aging       Date:  2019-01-10       Impact factor: 4.673

2.  Early Intervention in Alzheimer's Disease: How Early is Early Enough?

Authors:  Dong-Yu Fan; Yan-Jiang Wang
Journal:  Neurosci Bull       Date:  2019-09-07       Impact factor: 5.203

3.  Maturation of neuronal AD-tau pathology involves site-specific phosphorylation of cytoplasmic and synaptic tau preceding conformational change and fibril formation.

Authors:  Luis Aragão Gomes; Valerie Uytterhoeven; Diego Lopez-Sanmartin; Sandra O Tomé; Thomas Tousseyn; Rik Vandenberghe; Mathieu Vandenbulcke; Christine A F von Arnim; Patrik Verstreken; Dietmar Rudolf Thal
Journal:  Acta Neuropathol       Date:  2021-01-11       Impact factor: 17.088

Review 4.  The β-secretase (BACE) inhibitor NB-360 in preclinical models: From amyloid-β reduction to downstream disease-relevant effects.

Authors:  Ulf Neumann; Rainer Machauer; Derya R Shimshek
Journal:  Br J Pharmacol       Date:  2019-03-10       Impact factor: 8.739

5.  Rapamycin and Alzheimer disease: a double-edged sword?

Authors:  Julian M Carosi; Timothy J Sargeant
Journal:  Autophagy       Date:  2019-05-22       Impact factor: 16.016

6.  Enhanced ion mobility resolution of Abeta isomers from human brain using high-resolution demultiplexing software.

Authors:  Soumya Mukherjee; John C Fjeldsted; Colin L Masters; Blaine R Roberts
Journal:  Anal Bioanal Chem       Date:  2022-04-15       Impact factor: 4.142

7.  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

Review 8.  Amyloid-β and tau complexity - towards improved biomarkers and targeted therapies.

Authors:  Juan Carlos Polanco; Chuanzhou Li; Liviu-Gabriel Bodea; Ramon Martinez-Marmol; Frederic A Meunier; Jürgen Götz
Journal:  Nat Rev Neurol       Date:  2017-12-15       Impact factor: 42.937

9.  Amyloid β oligomers constrict human capillaries in Alzheimer's disease via signaling to pericytes.

Authors:  Ross Nortley; Nils Korte; Pablo Izquierdo; Chanawee Hirunpattarasilp; Anusha Mishra; Zane Jaunmuktane; Vasiliki Kyrargyri; Thomas Pfeiffer; Lila Khennouf; Christian Madry; Hui Gong; Angela Richard-Loendt; Wenhui Huang; Takashi Saito; Takaomi C Saido; Sebastian Brandner; Huma Sethi; David Attwell
Journal:  Science       Date:  2019-06-20       Impact factor: 47.728

10.  Quantitative Susceptibility Mapping of Brain Iron and β-Amyloid in MRI and PET Relating to Cognitive Performance in Cognitively Normal Older Adults.

Authors:  Lin Chen; Anja Soldan; Kenichi Oishi; Andreia Faria; Yuxin Zhu; Marilyn Albert; Peter C M van Zijl; Xu Li
Journal:  Radiology       Date:  2020-11-24       Impact factor: 11.105

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