Literature DB >> 29548847

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

J M G van Bergen1, X Li2, F C Quevenco3, A F Gietl4, V Treyer5, R Meyer4, A Buck6, P A Kaufmann6, R M Nitsch4, P C M van Zijl2, C Hock4, P G Unschuld4.   

Abstract

The accumulation of β-amyloid plaques is a hallmark of Alzheimer's disease (AD), and recently published data suggest that increased brain iron burden may reflect pathologies that synergistically contribute to the development of cognitive dysfunction. While preclinical disease stages are considered most promising for therapeutic intervention, the link between emerging AD-pathology and earliest clinical symptoms remains largely unclear. In the current study we therefore investigated local correlations between iron and β-amyloid plaques, and their possible association with cognitive performance in healthy older adults. 116 older adults (mean age 75 ± 7.4 years) received neuropsychological testing to calculate a composite cognitive score of performance in episodic memory, executive functioning, attention, language and communication. All participants were scanned on a combined PET-MRI instrument and were administered T1-sequences for anatomical mapping, quantitative susceptibility mapping (QSM) for assessing iron, and 18F-Flutemetamol-PET for estimating β-amyloid plaque load. Biological parametric mapping (BPM) was used to generate masks indicating voxels with significant (p < 0.05) correlation between susceptibility and 18F-Flutemetamol-SUVR. We found a bilateral pattern of clusters characterized by a statistical relationship between magnetic susceptibility and 18F-Flutemetamol-SUVR, indicating local correlations between iron and β-amyloid plaque deposition. For two bilateral clusters, located in the frontal and temporal cortex, significant relationships (p<0.05) between local β-amyloid and the composite cognitive performance score could be observed. No relationship between whole-cortex β-amyloid plaque load and cognitive performance was observable. Our data suggest that the local correlation of β-amyloid plaque load and iron deposition may provide relevant information regarding cognitive performance of healthy older adults. Further studies are needed to clarify pathological correlates of the local interaction of β-amyloid, iron and other causes of altered magnetic susceptibility.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Beta-amyloid; Iron; MRI; PET; QSM

Mesh:

Substances:

Year:  2018        PMID: 29548847      PMCID: PMC5949258          DOI: 10.1016/j.neuroimage.2018.03.021

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  66 in total

1.  Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.

Authors:  Ramon Casanova; Ryali Srikanth; Aaron Baer; Paul J Laurienti; Jonathan H Burdette; Satoru Hayasaka; Lynn Flowers; Frank Wood; Joseph A Maldjian
Journal:  Neuroimage       Date:  2006-10-27       Impact factor: 6.556

2.  Neuropathologic correlates of white matter hyperintensities.

Authors:  Vanessa G Young; Glenda M Halliday; Jillian J Kril
Journal:  Neurology       Date:  2008-08-06       Impact factor: 9.910

3.  Trajectories of memory decline in preclinical Alzheimer's disease: results from the Australian Imaging, Biomarkers and Lifestyle Flagship Study of ageing.

Authors:  Robert H Pietrzak; Yen Ying Lim; David Ames; Karra Harrington; Carolina Restrepo; Ralph N Martins; Alan Rembach; Simon M Laws; Colin L Masters; Victor L Villemagne; Christopher C Rowe; Paul Maruff
Journal:  Neurobiol Aging       Date:  2014-12-20       Impact factor: 4.673

4.  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

5.  18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial.

Authors:  Rik Vandenberghe; Koen Van Laere; Adrian Ivanoiu; Eric Salmon; Christine Bastin; Eric Triau; Steen Hasselbalch; Ian Law; Allan Andersen; Alex Korner; Lennart Minthon; Gaëtan Garraux; Natalie Nelissen; Guy Bormans; Chris Buckley; Rikard Owenius; Lennart Thurfjell; Gill Farrar; David J Brooks
Journal:  Ann Neurol       Date:  2010-09       Impact factor: 10.422

6.  Oxidative damage is the earliest event in Alzheimer disease.

Authors:  A Nunomura; G Perry; G Aliev; K Hirai; A Takeda; E K Balraj; P K Jones; H Ghanbari; T Wataya; S Shimohama; S Chiba; C S Atwood; R B Petersen; M A Smith
Journal:  J Neuropathol Exp Neurol       Date:  2001-08       Impact factor: 3.685

7.  Education and occupation provide reserve in both ApoE ε4 carrier and noncarrier patients with probable Alzheimer's disease.

Authors:  V Garibotto; B Borroni; S Sorbi; S F Cappa; A Padovani; D Perani
Journal:  Neurol Sci       Date:  2011-12-16       Impact factor: 3.307

8.  Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.

Authors:  Issel Anne L Lim; Andreia V Faria; Xu Li; Johnny T C Hsu; Raag D Airan; Susumu Mori; Peter C M van Zijl
Journal:  Neuroimage       Date:  2013-06-12       Impact factor: 6.556

9.  Ferrous iron formation following the co-aggregation of ferric iron and the Alzheimer's disease peptide β-amyloid (1-42).

Authors:  J Everett; E Céspedes; L R Shelford; C Exley; J F Collingwood; J Dobson; G van der Laan; C A Jenkins; E Arenholz; N D Telling
Journal:  J R Soc Interface       Date:  2014-03-26       Impact factor: 4.118

10.  Colocalization of cerebral iron with Amyloid beta in Mild Cognitive Impairment.

Authors:  J M G van Bergen; X Li; J Hua; S J Schreiner; S C Steininger; F C Quevenco; M Wyss; A F Gietl; V Treyer; S E Leh; F Buck; R M Nitsch; K P Pruessmann; P C M van Zijl; C Hock; P G Unschuld
Journal:  Sci Rep       Date:  2016-10-17       Impact factor: 4.379

View more
  28 in total

Review 1.  Treating Alzheimer's disease by targeting iron.

Authors:  Sara Nikseresht; Ashley I Bush; Scott Ayton
Journal:  Br J Pharmacol       Date:  2019-02-11       Impact factor: 8.739

2.  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

Review 3.  PET imaging of neural activity, β-amyloid, and tau in normal brain aging.

Authors:  Kai Zhang; Hiroshi Mizuma; Xiaohui Zhang; Kayo Takahashi; Chentao Jin; Fahuan Song; Yuanxue Gao; Yousuke Kanayama; Yuping Wu; Yuting Li; Lijuan Ma; Mei Tian; Hong Zhang; Yasuyoshi Watanabe
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-03-05       Impact factor: 9.236

4.  Brain oxygen extraction and neural tissue susceptibility are associated with cognitive impairment in older individuals.

Authors:  Gloria C Chiang; Junghun Cho; Jonathan Dyke; Hang Zhang; Qihao Zhang; Michael Tokov; Thanh Nguyen; Ilhami Kovanlikaya; Michael Amoashiy; Mony de Leon; Yi Wang
Journal:  J Neuroimaging       Date:  2022-03-16       Impact factor: 2.324

5.  Overdosing on iron: Elevated iron and degenerative brain disorders.

Authors:  Santosh R D'Mello; Mark C Kindy
Journal:  Exp Biol Med (Maywood)       Date:  2020-09-02

6.  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

Review 7.  Brain pathological changes during neurodegenerative diseases and their identification methods: How does QSM perform in detecting this process?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Mohammad Danesh Doust; Reyhane Faraji; Hoda Zare
Journal:  Insights Imaging       Date:  2022-04-13

Review 8.  Challenges and Opportunities of Deferoxamine Delivery for Treatment of Alzheimer's Disease, Parkinson's Disease, and Intracerebral Hemorrhage.

Authors:  Amy Corbin Farr; May P Xiong
Journal:  Mol Pharm       Date:  2020-10-09       Impact factor: 4.939

Review 9.  Iron and Ferroptosis as Therapeutic Targets in Alzheimer's Disease.

Authors:  Andrew Gleason; Ashley I Bush
Journal:  Neurotherapeutics       Date:  2020-10-27       Impact factor: 7.620

Review 10.  Iron and Alzheimer's Disease: From Pathogenesis to Therapeutic Implications.

Authors:  Jun-Lin Liu; Yong-Gang Fan; Zheng-Sheng Yang; Zhan-You Wang; Chuang Guo
Journal:  Front Neurosci       Date:  2018-09-10       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.