Literature DB >> 35991935

Non-invasive visualization of amyloid-beta deposits in Alzheimer amyloidosis mice using magnetic resonance imaging and fluorescence molecular tomography.

Wuwei Ren1,2,3, Linlin Li2, Jianru Zhang2, Markus Vaas1, Jan Klohs1, Jorge Ripoll4, Martin Wolf5, Ruiqing Ni1,6,7, Markus Rudin1,8.   

Abstract

Abnormal cerebral accumulation of amyloid-beta peptide (Aβ) is a major hallmark of Alzheimer's disease. Non-invasive monitoring of Aβ deposits enables assessing the disease burden in patients and animal models mimicking aspects of the human disease as well as evaluating the efficacy of Aβ-modulating therapies. Previous in vivo assessments of plaque load have been predominantly based on macroscopic fluorescence reflectance imaging (FRI) and confocal or two-photon microscopy using Aβ-specific imaging agents. However, the former method lacks depth resolution, whereas the latter is restricted by the limited field of view preventing a full coverage of the large brain region. Here, we utilized a fluorescence molecular tomography (FMT)-magnetic resonance imaging (MRI) pipeline with the curcumin derivative fluorescent probe CRANAD-2 to achieve full 3D brain coverage for detecting Aβ accumulation in the arcAβ mouse model of cerebral amyloidosis. A homebuilt FMT system was used for data acquisition, whereas a customized software platform enabled the integration of MRI-derived anatomical information as prior information for FMT image reconstruction. The results obtained from the FMT-MRI study were compared to those from conventional planar FRI recorded under similar physiological conditions, yielding comparable time courses of the fluorescence intensity following intravenous injection of CRANAD-2 in a region-of-interest comprising the brain. In conclusion, we have demonstrated the feasibility of visualizing Aβ deposition in 3D using a multimodal FMT-MRI strategy. This hybrid imaging method provides complementary anatomical, physiological and molecular information, thereby enabling the detailed characterization of the disease status in arcAβ mouse models, which can also facilitate monitoring the efficacy of putative treatments targeting Aβ.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35991935      PMCID: PMC9352276          DOI: 10.1364/BOE.458290

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  50 in total

Review 1.  The Cellular Phase of Alzheimer's Disease.

Authors:  Bart De Strooper; Eric Karran
Journal:  Cell       Date:  2016-02-11       Impact factor: 41.582

2.  Near-infrared fluorescence molecular imaging of amyloid beta species and monitoring therapy in animal models of Alzheimer's disease.

Authors:  Xueli Zhang; Yanli Tian; Can Zhang; Xiaoyu Tian; Alana W Ross; Robert D Moir; Hongbin Sun; Rudolph E Tanzi; Anna Moore; Chongzhao Ran
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-21       Impact factor: 11.205

3.  Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study.

Authors:  Henryk Barthel; Hermann-Josef Gertz; Stefan Dresel; Oliver Peters; Peter Bartenstein; Katharina Buerger; Florian Hiemeyer; Sabine M Wittemer-Rump; John Seibyl; Cornelia Reininger; Osama Sabri
Journal:  Lancet Neurol       Date:  2011-04-08       Impact factor: 44.182

4.  Development of concurrent magnetic resonance imaging and volumetric optoacoustic tomography: A phantom feasibility study.

Authors:  Wuwei Ren; Xosé Luís Deán-Ben; Mark-Aurel Augath; Daniel Razansky
Journal:  J Biophotonics       Date:  2020-11-26       Impact factor: 3.207

5.  Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease.

Authors:  Adam S Fleisher; Kewei Chen; Xiaofen Liu; Auttawut Roontiva; Pradeep Thiyyagura; Napatkamon Ayutyanont; Abhinay D Joshi; Christopher M Clark; Mark A Mintun; Michael J Pontecorvo; P Murali Doraiswamy; Keith A Johnson; Daniel M Skovronsky; Eric M Reiman
Journal:  Arch Neurol       Date:  2011-07-11

6.  A vicious cycle of β amyloid-dependent neuronal hyperactivation.

Authors:  Benedikt Zott; Manuel M Simon; Wei Hong; Felix Unger; Hsing-Jung Chen-Engerer; Matthew P Frosch; Bert Sakmann; Dominic M Walsh; Arthur Konnerth
Journal:  Science       Date:  2019-08-09       Impact factor: 47.728

7.  Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo.

Authors:  Scott C Davis; Kimberley S Samkoe; Kenneth M Tichauer; Kristian J Sexton; Jason R Gunn; Sophie J Deharvengt; Tayyaba Hasan; Brian W Pogue
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-13       Impact factor: 11.205

Review 8.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Billy Dunn; Samantha Budd Haeberlein; David M Holtzman; William Jagust; Frank Jessen; Jason Karlawish; Enchi Liu; Jose Luis Molinuevo; Thomas Montine; Creighton Phelps; Katherine P Rankin; Christopher C Rowe; Philip Scheltens; Eric Siemers; Heather M Snyder; Reisa Sperling
Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

Review 9.  Single-photon avalanche diode imagers in biophotonics: review and outlook.

Authors:  Claudio Bruschini; Harald Homulle; Ivan Michel Antolovic; Samuel Burri; Edoardo Charbon
Journal:  Light Sci Appl       Date:  2019-09-18       Impact factor: 17.782

10.  In vivo detection of tau fibrils and amyloid β aggregates with luminescent conjugated oligothiophenes and multiphoton microscopy.

Authors:  Maria Calvo-Rodriguez; Steven S Hou; Austin C Snyder; Simon Dujardin; Hamid Shirani; K Peter R Nilsson; Brian J Bacskai
Journal:  Acta Neuropathol Commun       Date:  2019-11-08       Impact factor: 7.801

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