Literature DB >> 28605642

Applicability of [11C]PIB micro-PET imaging for in vivo follow-up of anti-amyloid treatment effects in APP23 mouse model.

Anniina Snellman1, Johanna Rokka2, Francisco R López-Picón3, Semi Helin2, Francesca Re4, Eliisa Löyttyniemi5, Rea Pihlaja3, Gianluigi Forloni6, Mario Salmona6, Massimo Masserini4, Olof Solin7, Juha O Rinne8, Merja Haaparanta-Solin3.   

Abstract

In this study, we evaluated the anti-amyloid effect of functionalized nanoliposomes (mApoE-PA-LIP) in a mouse model of Alzheimer's disease with use of positron emission tomography and β-amyloid (Aβ)-targeted tracer [11C]Pittsburgh compound B ([11C]PIB). APP23 mice were injected with mApoE-PA-LIP or saline (3 times per week for 3 weeks) and [11C]PIB imaging was performed at baseline, after the treatment and after 3 months follow-up period, accompanied by Aβ immunohistochemistry and ELISA. After the treatment, [11C]PIB binding ratios between mApoE-PA-LIP and saline groups were equivalent in all analyzed brain regions; however, in the saline group, binding ratios increased from the baseline, whereas no increase was detected in the mApoE-PA-LIP group. During the additional follow-up, [11C]PIB binding increased significantly from baseline in both groups, and binding ratios correlated with the immunohistochemically defined Aβ load. This study further supports the use of [11C]PIB positron emission tomography imaging as a biomarker of Aβ deposition in APP23 mice and highlights the benefits of noninvasive follow-up, that is, using baseline data for animal stratification and normalization of treatment effects to baseline values, for future anti-amyloid treatment studies.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  APP23; Alzheimer's disease; Liposomes; PET; [(11)C]PIB; β-amyloid

Mesh:

Substances:

Year:  2017        PMID: 28605642     DOI: 10.1016/j.neurobiolaging.2017.05.008

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  10 in total

1.  Brain β-Amyloid and Atrophy in Individuals at Increased Risk of Cognitive Decline.

Authors:  I K Martikainen; N Kemppainen; J Johansson; J Teuho; S Helin; Y Liu; S Helisalmi; H Soininen; R Parkkola; T Ngandu; M Kivipelto; J O Rinne
Journal:  AJNR Am J Neuroradiol       Date:  2018-12-13       Impact factor: 3.825

2.  Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice.

Authors:  Ruiqing Ni; Zhenyue Chen; Xosé Luís Deán-Ben; Fabian F Voigt; Daniel Kirschenbaum; Gloria Shi; Alessia Villois; Quanyu Zhou; Alessandro Crimi; Paolo Arosio; Roger M Nitsch; K Peter R Nilsson; Adriano Aguzzi; Fritjof Helmchen; Jan Klohs; Daniel Razansky
Journal:  Nat Biomed Eng       Date:  2022-07-14       Impact factor: 29.234

Review 3.  PET Imaging in Animal Models of Alzheimer's Disease.

Authors:  Baosheng Chen; Bernadette Marquez-Nostra; Erika Belitzky; Takuya Toyonaga; Jie Tong; Yiyun Huang; Zhengxin Cai
Journal:  Front Neurosci       Date:  2022-05-24       Impact factor: 5.152

4.  Assessment of pathological features in Alzheimer's disease brain tissue with a large field-of-view visible-light optical coherence microscope.

Authors:  Antonia Lichtenegger; Martina Muck; Pablo Eugui; Danielle J Harper; Marco Augustin; Konrad Leskovar; Christoph K Hitzenberger; Adelheid Woehrer; Bernhard Baumann
Journal:  Neurophotonics       Date:  2018-07-24       Impact factor: 3.593

5.  Quantitative Brain Positron Emission Tomography in Female 5XFAD Alzheimer Mice: Pathological Features and Sex-Specific Alterations.

Authors:  Caroline Bouter; Caroline Irwin; Timon N Franke; Nicola Beindorff; Yvonne Bouter
Journal:  Front Med (Lausanne)       Date:  2021-11-26

6.  ASIC-E4: Interplay of Beta-Amyloid, Synaptic Density and Neuroinflammation in Cognitively Normal Volunteers With Three Levels of Genetic Risk for Late-Onset Alzheimer's Disease - Study Protocol and Baseline Characteristics.

Authors:  Anniina Snellman; Laura L Ekblad; Mikko Koivumäki; Noora Lindgrén; Jouni Tuisku; Merja Perälä; Lila Kallio; Riina Lehtonen; Virva Saunavaara; Jani Saunavaara; Vesa Oikonen; Richard Aarnio; Eliisa Löyttyniemi; Riitta Parkkola; Mira Karrasch; Henrik Zetterberg; Kaj Blennow; Juha O Rinne
Journal:  Front Neurol       Date:  2022-02-09       Impact factor: 4.086

Review 7.  PET Imaging in Preclinical Anti-Aβ Drug Development.

Authors:  Stina Syvänen; Silvio R Meier; Sahar Roshanbin; Mengfei Xiong; Rebecca Faresjö; Tobias Gustavsson; Gillian Bonvicini; Eva Schlein; Ximena Aguilar; Ulrika Julku; Jonas Eriksson; Dag Sehlin
Journal:  Pharm Res       Date:  2022-05-02       Impact factor: 4.580

8.  Midlife insulin resistance, APOE genotype, and late-life brain amyloid accumulation.

Authors:  Laura L Ekblad; Jarkko Johansson; Semi Helin; Matti Viitanen; Hanna Laine; Pauli Puukka; Antti Jula; Juha O Rinne
Journal:  Neurology       Date:  2018-02-23       Impact factor: 9.910

9.  Midlife Insulin Resistance as a Predictor for Late-Life Cognitive Function and Cerebrovascular Lesions.

Authors:  Sini Toppala; Laura L Ekblad; Jyrki Lötjönen; Semi Helin; Saija Hurme; Jarkko Johansson; Antti Jula; Mira Karrasch; Juha Koikkalainen; Hanna Laine; Riitta Parkkola; Matti Viitanen; Juha O Rinne
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

10.  11C-PiB and 124I-Antibody PET Provide Differing Estimates of Brain Amyloid-β After Therapeutic Intervention.

Authors:  Silvio R Meier; Dag Sehlin; Sahar Roshanbin; Victoria Lim Falk; Takashi Saito; Takaomi C Saido; Ulf Neumann; Johanna Rokka; Jonas Eriksson; Stina Syvänen
Journal:  J Nucl Med       Date:  2021-06-04       Impact factor: 10.057

  10 in total

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