1
|
Ruch F, Gnörich J, Wind K, Köhler M, Zatcepin A, Wiedemann T, Gildehaus FJ, Lindner S, Boening G, von Ungern-Sternberg B, Beyer L, Herms J, Bartenstein P, Brendel M, Eckenweber F. Validity and value of metabolic connectivity in mouse models of β-amyloid and tauopathy. Neuroimage 2024; 286:120513. [PMID: 38191101 DOI: 10.1016/j.neuroimage.2024.120513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/25/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024] Open
Abstract
Among functional imaging methods, metabolic connectivity (MC) is increasingly used for investigation of regional network changes to examine the pathophysiology of neurodegenerative diseases such as Alzheimer's disease (AD) or movement disorders. Hitherto, MC was mostly used in clinical studies, but only a few studies demonstrated the usefulness of MC in the rodent brain. The goal of the current work was to analyze and validate metabolic regional network alterations in three different mouse models of neurodegenerative diseases (β-amyloid and tau) by use of 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography (FDG-PET) imaging. We compared the results of FDG-µPET MC with conventional VOI-based analysis and behavioral assessment in the Morris water maze (MWM). The impact of awake versus anesthesia conditions on MC read-outs was studied and the robustness of MC data deriving from different scanners was tested. MC proved to be an accurate and robust indicator of functional connectivity loss when sample sizes ≥12 were considered. MC readouts were robust across scanners and in awake/ anesthesia conditions. MC loss was observed throughout all brain regions in tauopathy mice, whereas β-amyloid indicated MC loss mainly in spatial learning areas and subcortical networks. This study established a methodological basis for the utilization of MC in different β-amyloid and tau mouse models. MC has the potential to serve as a read-out of pathological changes within neuronal networks in these models.
Collapse
Affiliation(s)
- François Ruch
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Karin Wind
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Mara Köhler
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Artem Zatcepin
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Thomas Wiedemann
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Franz-Joseph Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Guido Boening
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Jochen Herms
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Center of Neuropathology and Prion Research, University of Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Florian Eckenweber
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| |
Collapse
|
2
|
Li X, Quan M, Wei Y, Wang W, Xu L, Wang Q, Jia J. Critical thinking of Alzheimer's transgenic mouse model: current research and future perspective. SCIENCE CHINA. LIFE SCIENCES 2023; 66:2711-2754. [PMID: 37480469 DOI: 10.1007/s11427-022-2357-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 04/23/2023] [Indexed: 07/24/2023]
Abstract
Transgenic models are useful tools for studying the pathogenesis of and drug development for Alzheimer's Disease (AD). AD models are constructed usually using overexpression or knock-in of multiple pathogenic gene mutations from familial AD. Each transgenic model has its unique behavioral and pathological features. This review summarizes the research progress of transgenic mouse models, and their progress in the unique mechanism of amyloid-β oligomers, including the first transgenic mouse model built in China based on a single gene mutation (PSEN1 V97L) found in Chinese familial AD. We further summarized the preclinical findings of drugs using the models, and their future application in exploring the upstream mechanisms and multitarget drug development in AD.
Collapse
Affiliation(s)
- Xinyue Li
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- National Medical Center for Neurological Diseases and National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Yiping Wei
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Wei Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- National Medical Center for Neurological Diseases and National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Lingzhi Xu
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- National Medical Center for Neurological Diseases and National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- National Medical Center for Neurological Diseases and National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, 100053, China.
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, 100053, China.
- Center of Alzheimer's Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, 100053, China.
| |
Collapse
|
3
|
Kindler D, Maschio C, Ni R, Zerbi V, Razansky D, Klohs J. Arterial spin labeling demonstrates preserved regional cerebral blood flow in the P301L mouse model of tauopathy. J Cereb Blood Flow Metab 2022; 42:686-693. [PMID: 34822744 PMCID: PMC8943618 DOI: 10.1177/0271678x211062274] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
There is growing evidence for the vascular contribution to cognitive impairment and dementia in Alzheimer's disease (AD) and other neurodegenerative diseases. While perfusion deficits have been observed in patients with Alzheimer's disease and tauopaties, little is known about the role of tau in vascular dysfunction. In the present study, regional cerebral blood (rCBF) was characterized in P301L mice with arterial spin labeling. No differences in rCBF in P301L mice compared to their age-matched non-transgenic littermates at mid (10-12 months of age) and advanced (19-21 months of age) disease stages. This was concomitant with preservation of cortical brain structure as assessed with structural T2-weighted magnetic resonance imaging. These results show that hypoperfusion and neurodegeneration are not a phenotype of P301L mice. More studies are thus needed to understand the relationship of tau, neurodegeneration and vascular dysfunction and its modulators in AD and primary tauopathies.
Collapse
Affiliation(s)
- Diana Kindler
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, 27219ETH Zurich, Zurich, Switzerland
| | - Cinzia Maschio
- Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Zurich Neuroscience Center (ZNZ), Zurich, Switzerland
| | - Ruiqing Ni
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, 27219ETH Zurich, Zurich, Switzerland.,Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.,Zurich Neuroscience Center (ZNZ), Zurich, Switzerland
| | - Valerio Zerbi
- Zurich Neuroscience Center (ZNZ), Zurich, Switzerland.,Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zurich, 27219ETH Zurich, Zurich, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, 27219ETH Zurich, Zurich, Switzerland.,Zurich Neuroscience Center (ZNZ), Zurich, Switzerland.,Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Jan Klohs
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, 27219ETH Zurich, Zurich, Switzerland.,Zurich Neuroscience Center (ZNZ), Zurich, Switzerland
| |
Collapse
|
4
|
Neuroimaging of Mouse Models of Alzheimer’s Disease. Biomedicines 2022; 10:biomedicines10020305. [PMID: 35203515 PMCID: PMC8869427 DOI: 10.3390/biomedicines10020305] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/25/2022] [Accepted: 01/25/2022] [Indexed: 12/23/2022] Open
Abstract
Magnetic resonance imaging (MRI) and positron emission tomography (PET) have made great strides in the diagnosis and our understanding of Alzheimer’s Disease (AD). Despite the knowledge gained from human studies, mouse models have and continue to play an important role in deciphering the cellular and molecular evolution of AD. MRI and PET are now being increasingly used to investigate neuroimaging features in mouse models and provide the basis for rapid translation to the clinical setting. Here, we provide an overview of the human MRI and PET imaging landscape as a prelude to an in-depth review of preclinical imaging in mice. A broad range of mouse models recapitulate certain aspects of the human AD, but no single model simulates the human disease spectrum. We focused on the two of the most popular mouse models, the 3xTg-AD and the 5xFAD models, and we summarized all known published MRI and PET imaging data, including contrasting findings. The goal of this review is to provide the reader with broad framework to guide future studies in existing and future mouse models of AD. We also highlight aspects of MRI and PET imaging that could be improved to increase rigor and reproducibility in future imaging studies.
Collapse
|
5
|
Ni R. Magnetic Resonance Imaging in Animal Models of Alzheimer's Disease Amyloidosis. Int J Mol Sci 2021; 22:12768. [PMID: 34884573 PMCID: PMC8657987 DOI: 10.3390/ijms222312768] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/18/2021] [Accepted: 11/23/2021] [Indexed: 02/07/2023] Open
Abstract
Amyloid-beta (Aβ) plays an important role in the pathogenesis of Alzheimer's disease. Aberrant Aβ accumulation induces neuroinflammation, cerebrovascular alterations, and synaptic deficits, leading to cognitive impairment. Animal models recapitulating the Aβ pathology, such as transgenic, knock-in mouse and rat models, have facilitated the understanding of disease mechanisms and the development of therapeutics targeting Aβ. There is a rapid advance in high-field MRI in small animals. Versatile high-field magnetic resonance imaging (MRI) sequences, such as diffusion tensor imaging, arterial spin labeling, resting-state functional MRI, anatomical MRI, and MR spectroscopy, as well as contrast agents, have been developed for preclinical imaging in animal models. These tools have enabled high-resolution in vivo structural, functional, and molecular readouts with a whole-brain field of view. MRI has been used to visualize non-invasively the Aβ deposits, synaptic deficits, regional brain atrophy, impairment in white matter integrity, functional connectivity, and cerebrovascular and glymphatic system in animal models of Alzheimer's disease amyloidosis. Many of the readouts are translational toward clinical MRI applications in patients with Alzheimer's disease. In this review, we summarize the recent advances in MRI for visualizing the pathophysiology in amyloidosis animal models. We discuss the outstanding challenges in brain imaging using MRI in small animals and propose future outlook in visualizing Aβ-related alterations in the brains of animal models.
Collapse
Affiliation(s)
- Ruiqing Ni
- Institute for Biomedical Engineering, ETH Zurich & University of Zurich, 8093 Zurich, Switzerland;
- Institute for Regenerative Medicine, University of Zurich, 8952 Zurich, Switzerland
| |
Collapse
|
6
|
Bracko O, Cruz Hernández JC, Park L, Nishimura N, Schaffer CB. Causes and consequences of baseline cerebral blood flow reductions in Alzheimer's disease. J Cereb Blood Flow Metab 2021; 41:1501-1516. [PMID: 33444096 PMCID: PMC8221770 DOI: 10.1177/0271678x20982383] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/27/2020] [Accepted: 11/16/2020] [Indexed: 12/23/2022]
Abstract
Reductions of baseline cerebral blood flow (CBF) of ∼10-20% are a common symptom of Alzheimer's disease (AD) that appear early in disease progression and correlate with the severity of cognitive impairment. These CBF deficits are replicated in mouse models of AD and recent work shows that increasing baseline CBF can rapidly improve the performance of AD mice on short term memory tasks. Despite the potential role these data suggest for CBF reductions in causing cognitive symptoms and contributing to brain pathology in AD, there remains a poor understanding of the molecular and cellular mechanisms causing them. This review compiles data on CBF reductions and on the correlation of AD-related CBF deficits with disease comorbidities (e.g. cardiovascular and genetic risk factors) and outcomes (e.g. cognitive performance and brain pathology) from studies in both patients and mouse models, and discusses several potential mechanisms proposed to contribute to CBF reductions, based primarily on work in AD mouse models. Future research aimed at improving our understanding of the importance of and interplay between different mechanisms for CBF reduction, as well as at determining the role these mechanisms play in AD patients could guide the development of future therapies that target CBF reductions in AD.
Collapse
Affiliation(s)
- Oliver Bracko
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Jean C Cruz Hernández
- Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laibaik Park
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - Nozomi Nishimura
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Chris B Schaffer
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| |
Collapse
|
7
|
Bandyopadhyay S. Role of Neuron and Glia in Alzheimer's Disease and Associated Vascular Dysfunction. Front Aging Neurosci 2021; 13:653334. [PMID: 34211387 PMCID: PMC8239194 DOI: 10.3389/fnagi.2021.653334] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022] Open
Abstract
Amyloidogenicity and vascular dysfunction are the key players in the pathogenesis of Alzheimer’s disease (AD), involving dysregulated cellular interactions. An intricate balance between neurons, astrocytes, microglia, oligodendrocytes and vascular cells sustains the normal neuronal circuits. Conversely, cerebrovascular diseases overlap neuropathologically with AD, and glial dyshomeostasis promotes AD-associated neurodegenerative cascade. While pathological hallmarks of AD primarily include amyloid-β (Aβ) plaques and neurofibrillary tangles, microvascular disorders, altered cerebral blood flow (CBF), and blood-brain barrier (BBB) permeability induce neuronal loss and synaptic atrophy. Accordingly, microglia-mediated inflammation and astrogliosis disrupt the homeostasis of the neuro-vascular unit and stimulate infiltration of circulating leukocytes into the brain. Large-scale genetic and epidemiological studies demonstrate a critical role of cellular crosstalk for altered immune response, metabolism, and vasculature in AD. The glia associated genetic risk factors include APOE, TREM2, CD33, PGRN, CR1, and NLRP3, which correlate with the deposition and altered phagocytosis of Aβ. Moreover, aging-dependent downregulation of astrocyte and microglial Aβ-degrading enzymes limits the neurotrophic and neurogenic role of glial cells and inhibits lysosomal degradation and clearance of Aβ. Microglial cells secrete IGF-1, and neurons show a reduced responsiveness to the neurotrophic IGF-1R/IRS-2/PI3K signaling pathway, generating amyloidogenic and vascular dyshomeostasis in AD. Glial signals connect to neural stem cells, and a shift in glial phenotype over the AD trajectory even affects adult neurogenesis and the neurovascular niche. Overall, the current review informs about the interaction of neuronal and glial cell types in AD pathogenesis and its critical association with cerebrovascular dysfunction.
Collapse
Affiliation(s)
- Sanghamitra Bandyopadhyay
- Developmental Toxicology Laboratory, Systems Toxicology & Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Lucknow, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| |
Collapse
|
8
|
Pizzo P, Basso E, Filadi R, Greotti E, Leparulo A, Pendin D, Redolfi N, Rossini M, Vajente N, Pozzan T, Fasolato C. Presenilin-2 and Calcium Handling: Molecules, Organelles, Cells and Brain Networks. Cells 2020; 9:E2166. [PMID: 32992716 PMCID: PMC7601421 DOI: 10.3390/cells9102166] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023] Open
Abstract
Presenilin-2 (PS2) is one of the three proteins that are dominantly mutated in familial Alzheimer's disease (FAD). It forms the catalytic core of the γ-secretase complex-a function shared with its homolog presenilin-1 (PS1)-the enzyme ultimately responsible of amyloid-β (Aβ) formation. Besides its enzymatic activity, PS2 is a multifunctional protein, being specifically involved, independently of γ-secretase activity, in the modulation of several cellular processes, such as Ca2+ signalling, mitochondrial function, inter-organelle communication, and autophagy. As for the former, evidence has accumulated that supports the involvement of PS2 at different levels, ranging from organelle Ca2+ handling to Ca2+ entry through plasma membrane channels. Thus FAD-linked PS2 mutations impact on multiple aspects of cell and tissue physiology, including bioenergetics and brain network excitability. In this contribution, we summarize the main findings on PS2, primarily as a modulator of Ca2+ homeostasis, with particular emphasis on the role of its mutations in the pathogenesis of FAD. Identification of cell pathways and molecules that are specifically targeted by PS2 mutants, as well as of common targets shared with PS1 mutants, will be fundamental to disentangle the complexity of memory loss and brain degeneration that occurs in Alzheimer's disease (AD).
Collapse
Affiliation(s)
- Paola Pizzo
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Emy Basso
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Riccardo Filadi
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Elisa Greotti
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Alessandro Leparulo
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
| | - Diana Pendin
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Nelly Redolfi
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
| | - Michela Rossini
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
| | - Nicola Vajente
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
| | - Tullio Pozzan
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
- Neuroscience Institute, Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
- Venetian Institute of Molecular Medicine (VIMM), Via G. Orus 2B, 35131 Padua, Italy
| | - Cristina Fasolato
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (E.B.); (R.F.); (E.G.); (A.L.); (D.P.); (N.R.); (M.R.); (N.V.); (T.P.)
| |
Collapse
|
9
|
Klohs J. An Integrated View on Vascular Dysfunction in Alzheimer's Disease. NEURODEGENER DIS 2020; 19:109-127. [PMID: 32062666 DOI: 10.1159/000505625] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 12/23/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Cerebrovascular disease is a common comorbidity in patients with Alzheimer's disease (AD). It is believed to contribute additively to the cognitive impairment and to lower the threshold for the development of dementia. However, accumulating evidence suggests that dysfunction of the cerebral vasculature and AD neuropathology interact in multiple ways. Vascular processes even proceed AD neuropathology, implicating a causal role in the etiology of AD. Thus, the review aims to provide an integrated view on vascular dysfunction in AD. SUMMARY In AD, the cerebral vasculature undergoes pronounced cellular, morphological and structural changes, which alters regulation of blood flow, vascular fluid dynamics and vessel integrity. Stiffening of central blood vessels lead to transmission of excessive pulsatile energy to the brain microvasculature, causing end-organ damage. Moreover, a dysregulated hemostasis and chronic vascular inflammation further impede vascular function, where its mediators interact synergistically. Changes of the cerebral vasculature are triggered and driven by systemic vascular abnormalities that are part of aging, and which can be accelerated and aggravated by cardiovascular diseases. Key Messages: In AD, the cerebral vasculature is the locus where multiple pathogenic processes converge and contribute to cognitive impairment. Understanding the molecular mechanism and pathophysiology of vascular dysfunction in AD and use of vascular blood-based and imaging biomarker in clinical studies may hold promise for future prevention and therapy of the disease.
Collapse
Affiliation(s)
- Jan Klohs
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, .,Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland,
| |
Collapse
|
10
|
Galla L, Redolfi N, Pozzan T, Pizzo P, Greotti E. Intracellular Calcium Dysregulation by the Alzheimer's Disease-Linked Protein Presenilin 2. Int J Mol Sci 2020; 21:E770. [PMID: 31991578 PMCID: PMC7037278 DOI: 10.3390/ijms21030770] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 12/18/2022] Open
Abstract
Alzheimer's disease (AD) is the most common form of dementia. Even though most AD cases are sporadic, a small percentage is familial due to autosomal dominant mutations in amyloid precursor protein (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) genes. AD mutations contribute to the generation of toxic amyloid β (Aβ) peptides and the formation of cerebral plaques, leading to the formulation of the amyloid cascade hypothesis for AD pathogenesis. Many drugs have been developed to inhibit this pathway but all these approaches currently failed, raising the need to find additional pathogenic mechanisms. Alterations in cellular calcium (Ca2+) signaling have also been reported as causative of neurodegeneration. Interestingly, Aβ peptides, mutated presenilin-1 (PS1), and presenilin-2 (PS2) variously lead to modifications in Ca2+ homeostasis. In this contribution, we focus on PS2, summarizing how AD-linked PS2 mutants alter multiple Ca2+ pathways and the functional consequences of this Ca2+ dysregulation in AD pathogenesis.
Collapse
Affiliation(s)
- Luisa Galla
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; (L.G.); (N.R.); (T.P.); (E.G.)
- Neuroscience Institute, National Research Council (CNR), 35131 Padua, Italy
| | - Nelly Redolfi
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; (L.G.); (N.R.); (T.P.); (E.G.)
| | - Tullio Pozzan
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; (L.G.); (N.R.); (T.P.); (E.G.)
- Neuroscience Institute, National Research Council (CNR), 35131 Padua, Italy
- Venetian Institute of Molecular Medicine (VIMM), 35131 Padua, Italy
| | - Paola Pizzo
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; (L.G.); (N.R.); (T.P.); (E.G.)
- Neuroscience Institute, National Research Council (CNR), 35131 Padua, Italy
| | - Elisa Greotti
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy; (L.G.); (N.R.); (T.P.); (E.G.)
- Neuroscience Institute, National Research Council (CNR), 35131 Padua, Italy
| |
Collapse
|
11
|
Leparulo A, Mahmud M, Scremin E, Pozzan T, Vassanelli S, Fasolato C. Dampened Slow Oscillation Connectivity Anticipates Amyloid Deposition in the PS2APP Mouse Model of Alzheimer's Disease. Cells 2019; 9:cells9010054. [PMID: 31878336 PMCID: PMC7016892 DOI: 10.3390/cells9010054] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 12/17/2019] [Accepted: 12/20/2019] [Indexed: 12/21/2022] Open
Abstract
To fight Alzheimer's disease (AD), we should know when, where, and how brain network dysfunctions initiate. In AD mouse models, relevant information can be derived from brain electrical activity. With a multi-site linear probe, we recorded local field potentials simultaneously at the posterior-parietal cortex and hippocampus of wild-type and double transgenic AD mice, under anesthesia. We focused on PS2APP (B6.152H) mice carrying both presenilin-2 (PS2) and amyloid precursor protein (APP) mutations, at three and six months of age, before and after plaque deposition respectively. To highlight defects linked to either the PS2 or APP mutation, we included in the analysis age-matched PS2.30H and APP-Swedish mice, carrying each of the mutations individually. Our study also included PSEN2-/- mice. At three months, only predeposition B6.152H mice show a reduction in the functional connectivity of slow oscillations (SO) and in the power ratio between SO and delta waves. At six months, plaque-seeding B6.152H mice undergo a worsening of the low/high frequency power imbalance and show a massive loss of cortico-hippocampal phase-amplitude coupling (PAC) between SO and higher frequencies, a feature shared with amyloid-free PS2.30H mice. We conclude that the PS2 mutation is sufficient to impair SO PAC and accelerate network dysfunctions in amyloid-accumulating mice.
Collapse
Affiliation(s)
- Alessandro Leparulo
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
| | - Mufti Mahmud
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
| | - Elena Scremin
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
| | - Tullio Pozzan
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
- Neuroscience Institute-Italian National Research Council (CNR), Via U. Bassi 58/B, 35131 Padua, Italy
- Venetian Institute of Molecular Medicine (VIMM), Via G. Orus 2B, 35129 Padua, Italy
| | - Stefano Vassanelli
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
- Padua Neuroscience Center (PNC), University of Padua, Via G. Orus 2B, 35129 Padua, Italy
- Correspondence: (S.V.); (C.F.); Tel.: +39-049-8275337 (S.V.); +39-049-8276065 (C.F.); Fax: +39-049-8276049 (S.V.); +39-049-8276049 (C.F.)
| | - Cristina Fasolato
- Department of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, 35131 Padua, Italy; (A.L.); (M.M.); (E.S.); (T.P.)
- Correspondence: (S.V.); (C.F.); Tel.: +39-049-8275337 (S.V.); +39-049-8276065 (C.F.); Fax: +39-049-8276049 (S.V.); +39-049-8276049 (C.F.)
| |
Collapse
|
12
|
Bouter C, Bouter Y. 18F-FDG-PET in Mouse Models of Alzheimer's Disease. Front Med (Lausanne) 2019; 6:71. [PMID: 31058151 PMCID: PMC6482246 DOI: 10.3389/fmed.2019.00071] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Accepted: 03/21/2019] [Indexed: 01/08/2023] Open
Abstract
Suitable animal models and in vivo biomarkers are essential for development and evaluation of new therapeutic strategies in Alzheimer's disease (AD). 18F-Fluorodeoxyglucose (18F-FDG)-positron-emission tomography (PET) is an imaging biomarker that allows the assessment of cerebral glucose metabolism in vivo. While 18F-FDG-PET/CT is an established tool in the evaluation of AD patients, its role in preclinical studies with AD mouse models remains unclear. Here, we want to review available studies on 18F-FDG-PET/CT in AD mouse models in order to evaluate the method and its impact in preclinical AD research. Only a limited number of studies using 18F-FDG-PET in AD mice were carried out so far showing contradictory findings in cerebral FDG uptake. Methodological differences as well as underlying pathological features of used mouse models seem to be accountable for those varying results. However, 18F-FDG-PET can be a valuable tool in longitudinal in vivo therapy monitoring with a lot of potential for future studies.
Collapse
Affiliation(s)
- Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany
| | - Yvonne Bouter
- Division of Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany
| |
Collapse
|
13
|
Zheng F, Cui D, Zhang L, Zhang S, Zhao Y, Liu X, Liu C, Li Z, Zhang D, Shi L, Liu Z, Hou K, Lu W, Yin T, Qiu J. The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan. Front Aging Neurosci 2018; 10:320. [PMID: 30364081 PMCID: PMC6191512 DOI: 10.3389/fnagi.2018.00320] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 09/24/2018] [Indexed: 12/27/2022] Open
Abstract
Background: The hippocampus is an important limbic structure closely related to memory function. However, few studies have focused on the association between hippocampal subfields and age-related memory decline. We investigated the volume alterations of hippocampal subfields at different ages and assessed the correlations with Immediate and Delayed recall abilities. Materials and Methods: A total of 275 participants aged 20-89 years were classified into 4 groups: Young, 20-35 years; Middle-early, 36-50 years; Middle-late, 51-65 years; Old, 66-89 years. All data were acquired from the Dallas Lifespan Brain Study (DLBS). The volumes of hippocampal subfields were obtained using Freesurfer software. Analysis of covariance (ANCOVA) was performed to analyze alterations of subfield volumes among the 4 groups, and multiple comparisons between groups were performed using the Bonferroni method. Spearman correlation with false discovery rate correction was used to investigate the relationship between memory recall scores and hippocampal subfield volumes. Results: Apart from no significant difference in the left parasubiculum (P = 0.269) and a slight difference in the right parasubiculum (P = 0.022), the volumes of other hippocampal subfields were significantly different across the adult lifespan (P < 0.001). The hippocampal fissure volume was increased in the Old group, while volumes for other subfields decreased. In addition, Immediate recall scores were associated with volumes of the bilateral molecular layer, granule cell layer of the dentate gyrus (GC-DG), cornus ammonis (CA) 1, CA2/3, CA4, left fimbria and hippocampal amygdala transition area (HATA), and right fissure (P < 0.05). Delayed recall scores were associated with the bilateral molecular layer, GC-DG, CA2/3 and CA4; left tail, presubiculum, CA1, subiculum, fimbria and HATA (P < 0.05). Conclusion: The parasubiculum volume was not significantly different across the adult lifespan, while atrophy in dementia patients in some studies. Based on these findings, we speculate that volume changes in this region might be considered as a biomarker for dementia disorders. Additionally, several hippocampal subfield volumes were significantly associated with memory scores, further highlighting the key role of the hippocampus in age-related memory decline. These regions could be used to assess the risk of memory decline across the adult lifespan.
Collapse
Affiliation(s)
- Fenglian Zheng
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Dong Cui
- College of Radiology, Taishan Medical University, Taian, China
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Li Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Shitong Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
- College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Yue Zhao
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
- College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Xiaojing Liu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Chunhua Liu
- School of Basic Medical Sciences, Taishan Medical University, Taian, China
| | - Zhengmei Li
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Dongsheng Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Liting Shi
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Zhipeng Liu
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Kun Hou
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Wen Lu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Tao Yin
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Jianfeng Qiu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| |
Collapse
|
14
|
Asaad M, Lee JH. A guide to using functional magnetic resonance imaging to study Alzheimer's disease in animal models. Dis Model Mech 2018; 11:dmm031724. [PMID: 29784664 PMCID: PMC5992611 DOI: 10.1242/dmm.031724] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Alzheimer's disease is a leading healthcare challenge facing our society today. Functional magnetic resonance imaging (fMRI) of the brain has played an important role in our efforts to understand how Alzheimer's disease alters brain function. Using fMRI in animal models of Alzheimer's disease has the potential to provide us with a more comprehensive understanding of the observations made in human clinical fMRI studies. However, using fMRI in animal models of Alzheimer's disease presents some unique challenges. Here, we highlight some of these challenges and discuss potential solutions for researchers interested in performing fMRI in animal models. First, we briefly summarize our current understanding of Alzheimer's disease from a mechanistic standpoint. We then overview the wide array of animal models available for studying this disease and how to choose the most appropriate model to study, depending on which aspects of the condition researchers seek to investigate. Finally, we discuss the contributions of fMRI to our understanding of Alzheimer's disease and the issues to consider when designing fMRI studies for animal models, such as differences in brain activity based on anesthetic choice and ways to interrogate more specific questions in rodents beyond those that can be addressed in humans. The goal of this article is to provide information on the utility of fMRI, and approaches to consider when using fMRI, for studies of Alzheimer's disease in animal models.
Collapse
Affiliation(s)
- Mazen Asaad
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Molecular and Cellular Physiology, Stanford University, Stanford, CA 94305, USA
| | - Jin Hyung Lee
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA
- Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
| |
Collapse
|
15
|
Tang X, Cai F, Ding DX, Zhang LL, Cai XY, Fang Q. Magnetic resonance imaging relaxation time in Alzheimer's disease. Brain Res Bull 2018; 140:176-189. [PMID: 29738781 DOI: 10.1016/j.brainresbull.2018.05.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 04/18/2018] [Accepted: 05/04/2018] [Indexed: 12/26/2022]
Abstract
The magnetic resonance imaging (MRI) relaxation time constants, T1 and T2, are sensitive to changes in brain tissue microstructure integrity. Quantitative T1 and T2 relaxation times have been proposed to serve as non-invasive biomarkers of Alzheimer's disease (AD), in which alterations are believed to not only reflect AD-related neuropathology but also cognitive impairment. In this review, we summarize the applications and key findings of MRI techniques in the context of both AD subjects and AD transgenic mouse models. Furthermore, the possible mechanisms of relaxation time alterations in AD will be discussed. Future studies could focus on relaxation time alterations in the early stage of AD, and longitudinal studies are needed to further explore relaxation time alterations during disease progression.
Collapse
Affiliation(s)
- Xiang Tang
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China
| | - Feng Cai
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China
| | - Dong-Xue Ding
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China
| | - Lu-Lu Zhang
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China
| | - Xiu-Ying Cai
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China.
| | - Qi Fang
- Department of Neurology, The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China.
| |
Collapse
|
16
|
Li T, Vandesquille M, Koukouli F, Dudeffant C, Youssef I, Lenormand P, Ganneau C, Maskos U, Czech C, Grueninger F, Duyckaerts C, Dhenain M, Bay S, Delatour B, Lafaye P. Camelid single-domain antibodies: A versatile tool for in vivo imaging of extracellular and intracellular brain targets. J Control Release 2016; 243:1-10. [PMID: 27671875 DOI: 10.1016/j.jconrel.2016.09.019] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 09/09/2016] [Accepted: 09/20/2016] [Indexed: 01/01/2023]
Abstract
Detection of intracerebral targets with imaging probes is challenging due to the non-permissive nature of blood-brain barrier (BBB). The present work describes two novel single-domain antibodies (VHHs or nanobodies) that specifically recognize extracellular amyloid deposits and intracellular tau neurofibrillary tangles, the two core lesions of Alzheimer's disease (AD). Following intravenous administration in transgenic mouse models of AD, in vivo real-time two-photon microscopy showed gradual extravasation of the VHHs across the BBB, diffusion in the parenchyma and labeling of amyloid deposits and neurofibrillary tangles. Our results demonstrate that VHHs can be used as specific BBB-permeable probes for both extracellular and intracellular brain targets and suggest new avenues for therapeutic and diagnostic applications in neurology.
Collapse
Affiliation(s)
- Tengfei Li
- Institut Pasteur, CITECH, Plateforme d'Ingénierie des Anticorps, 75724 Paris Cedex 15, France; Sorbonne Universités, UPMC Univ. Paris 06 UMR S 1127, F-75013 Paris, France; Inserm U 1127, Paris, France; CNRS UMR 7225, Paris, France; ICM, Paris, France; Université Paris Descartes, Paris 5, France
| | - Matthias Vandesquille
- Institut Pasteur, Unité de Chimie des Biomolécules, 75724 Paris Cedex 15, France; CNRS UMR 3523, 75724 Paris Cedex 15, France; Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Direction de la Recherche Fondamentale (DRF), Institut d'Imagerie Biomédicale (I2BM), MIRCen, F-92260 Fontenay-aux-Roses, France; Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay UMR 9199, Neurodegenerative Diseases Laboratory, F-92260 Fontenay-aux-Roses, France
| | - Fani Koukouli
- Institut Pasteur, Neurobiologie intégrative des systèmes cholinergiques, CNRS UMR 3571, Paris, France
| | - Clémence Dudeffant
- Sorbonne Universités, UPMC Univ. Paris 06 UMR S 1127, F-75013 Paris, France; Inserm U 1127, Paris, France; CNRS UMR 7225, Paris, France; ICM, Paris, France; Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Direction de la Recherche Fondamentale (DRF), Institut d'Imagerie Biomédicale (I2BM), MIRCen, F-92260 Fontenay-aux-Roses, France; Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay UMR 9199, Neurodegenerative Diseases Laboratory, F-92260 Fontenay-aux-Roses, France
| | - Ihsen Youssef
- Sorbonne Universités, UPMC Univ. Paris 06 UMR S 1127, F-75013 Paris, France; Inserm U 1127, Paris, France; CNRS UMR 7225, Paris, France; ICM, Paris, France
| | - Pascal Lenormand
- Institut Pasteur, CITECH, Plateforme d'Ingénierie des Anticorps, 75724 Paris Cedex 15, France
| | - Christelle Ganneau
- Institut Pasteur, Unité de Chimie des Biomolécules, 75724 Paris Cedex 15, France; CNRS UMR 3523, 75724 Paris Cedex 15, France
| | - Uwe Maskos
- Institut Pasteur, Neurobiologie intégrative des systèmes cholinergiques, CNRS UMR 3571, Paris, France
| | - Christian Czech
- F. Hoffmann-La Roche AG, Pharmaceutical Research and Early Development, NORD DTA, Roche Innovation Center Basel, CH-4070 Basel, Switzerland
| | - Fiona Grueninger
- F. Hoffmann-La Roche AG, Pharmaceutical Research and Early Development, NORD DTA, Roche Innovation Center Basel, CH-4070 Basel, Switzerland
| | - Charles Duyckaerts
- Sorbonne Universités, UPMC Univ. Paris 06 UMR S 1127, F-75013 Paris, France; Inserm U 1127, Paris, France; CNRS UMR 7225, Paris, France; ICM, Paris, France
| | - Marc Dhenain
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Direction de la Recherche Fondamentale (DRF), Institut d'Imagerie Biomédicale (I2BM), MIRCen, F-92260 Fontenay-aux-Roses, France; Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay UMR 9199, Neurodegenerative Diseases Laboratory, F-92260 Fontenay-aux-Roses, France
| | - Sylvie Bay
- Institut Pasteur, Unité de Chimie des Biomolécules, 75724 Paris Cedex 15, France; CNRS UMR 3523, 75724 Paris Cedex 15, France
| | - Benoît Delatour
- Sorbonne Universités, UPMC Univ. Paris 06 UMR S 1127, F-75013 Paris, France; Inserm U 1127, Paris, France; CNRS UMR 7225, Paris, France; ICM, Paris, France
| | - Pierre Lafaye
- Institut Pasteur, CITECH, Plateforme d'Ingénierie des Anticorps, 75724 Paris Cedex 15, France.
| |
Collapse
|
17
|
Holmes HE, Colgan N, Ismail O, Ma D, Powell NM, O'Callaghan JM, Harrison IF, Johnson RA, Murray TK, Ahmed Z, Heggenes M, Fisher A, Cardoso MJ, Modat M, Walker-Samuel S, Fisher EMC, Ourselin S, O'Neill MJ, Wells JA, Collins EC, Lythgoe MF. Imaging the accumulation and suppression of tau pathology using multiparametric MRI. Neurobiol Aging 2016; 39:184-94. [PMID: 26923415 PMCID: PMC4782737 DOI: 10.1016/j.neurobiolaging.2015.12.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 12/08/2015] [Accepted: 12/09/2015] [Indexed: 01/30/2023]
Abstract
Mouse models of Alzheimer's disease have served as valuable tools for investigating pathogenic mechanisms relating to neurodegeneration, including tau-mediated and neurofibrillary tangle pathology-a major hallmark of the disease. In this work, we have used multiparametric magnetic resonance imaging (MRI) in a longitudinal study of neurodegeneration in the rTg4510 mouse model of tauopathy, a subset of which were treated with doxycycline at different time points to suppress the tau transgene. Using this paradigm, we investigated the sensitivity of multiparametric MRI to both the accumulation and suppression of pathologic tau. Tau-related atrophy was discernible from 5.5 months within the cortex and hippocampus. We observed markedly less atrophy in the treated rTg4510 mice, which was enhanced after doxycycline intervention from 3.5 months. We also observed differences in amide proton transfer, cerebral blood flow, and diffusion tensor imaging parameters in the rTg4510 mice, which were significantly less altered after doxycycline treatment. We propose that these non-invasive MRI techniques offer insight into pathologic mechanisms underpinning Alzheimer's disease that may be important when evaluating emerging therapeutics targeting one of more of these processes.
Collapse
Affiliation(s)
- Holly E Holmes
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK.
| | - Niall Colgan
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Ozama Ismail
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Da Ma
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Nick M Powell
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - James M O'Callaghan
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Ian F Harrison
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Ross A Johnson
- Tailored Therapeutics, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA
| | | | | | | | | | - M J Cardoso
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Marc Modat
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Simon Walker-Samuel
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Elizabeth M C Fisher
- Department of Neurodegenerative Diseases, Institute of Neurology, University College London, London, UK
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | | | - Jack A Wells
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| | - Emily C Collins
- Tailored Therapeutics, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA
| | - Mark F Lythgoe
- Division of Medicine, Centre for Advanced Biomedical Imaging, University College London, London, UK
| |
Collapse
|
18
|
Ielacqua GD, Schlegel F, Füchtemeier M, Xandry J, Rudin M, Klohs J. Magnetic Resonance Q Mapping Reveals a Decrease in Microvessel Density in the arcAβ Mouse Model of Cerebral Amyloidosis. Front Aging Neurosci 2016; 7:241. [PMID: 26834622 PMCID: PMC4717293 DOI: 10.3389/fnagi.2015.00241] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 12/07/2015] [Indexed: 12/04/2022] Open
Abstract
Alterations in density and morphology of the cerebral microvasculature have been reported to occur in Alzheimer's disease patients and animal models of the disease. In this study we compared magnetic resonance imaging (MRI) techniques for their utility to detect age-dependent changes of the cerebral vasculature in the arcAβ mouse model of cerebral amyloidosis. Dynamic susceptibility contrast (DSC)-MRI was performed by tracking the passage of a superparamagnetic iron oxide nanoparticle in the brain with dynamic gradient echo planar imaging (EPI). From this measurements relative cerebral blood volume [rCBV(DSC)] and relative cerebral blood flow (rCBF) were estimated. For the same animal maps of the relaxation shift index Q were computed from high resolution gradient echo and spin echo data that were acquired before and after superparamagnetic iron oxide (SPIO) nanoparticle injection. Q-values were used to derive estimates of microvessel density. The change in the relaxation rates ΔR2* obtained from pre- and post-contrast gradient echo data was used for the alternative determination of rCBV [rCBV(ΔR2*)]. Linear mixed effects modeling found no significant association between rCBV(DSC), rCBV(ΔR2*), rCBF, and Q with genotype in 13-month old mice [compared to age-matched non-transgenic littermates (NTLs)] for any of the evaluated brain regions. In 24-month old mice there was a significant association for rCBV(DSC) with genotype in the cerebral cortex, and for rCBV(ΔR2*) in the cerebral cortex and cerebellum. For rCBF there was a significant association in the cerebellum but not in other brain regions. Q-values in the olfactory bulb, cerebral cortex, striatum, hippocampus, and cerebellum in 24-month old mice were significantly associated with genotype. In those regions Q-values were reduced between 11 and 26% in arcAβ mice compared to age-matched NTLs. Vessel staining with CD31 immunohistochemistry confirmed a reduction of microvessel density in the old arcAβ mice. We further demonstrated a region-specific association between parenchymal and vascular deposition of β-amyloid and decreased vascular density, without a correlation with the amount of Aβ deposition. We found that Q mapping was more suitable than the hemodynamic read-outs to detect amyloid-related degeneration of the cerebral microvasculature.
Collapse
Affiliation(s)
- Giovanna D Ielacqua
- Institute for Biomedical Engineering, ETH and University of Zurich Zurich, Switzerland
| | - Felix Schlegel
- Institute for Biomedical Engineering, ETH and University of ZurichZurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH ZurichZurich, Switzerland
| | - Martina Füchtemeier
- German Center for Neurodegenerative DiseasesBerlin, Germany; Department of Experimental Neurology, Charité - University Medicine BerlinBerlin, Germany
| | - Jael Xandry
- Institute for Biomedical Engineering, ETH and University of Zurich Zurich, Switzerland
| | - Markus Rudin
- Institute for Biomedical Engineering, ETH and University of ZurichZurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH ZurichZurich, Switzerland; Institute of Pharmacology and Toxicology, University of ZurichZurich, Switzerland
| | - Jan Klohs
- Institute for Biomedical Engineering, ETH and University of ZurichZurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH ZurichZurich, Switzerland
| |
Collapse
|
19
|
Maier FC, Keller MD, Bukala D, Bender B, Mannheim JG, Brereton IM, Galloway GJ, Pichler BJ. Quantification of β-Amyloidosis and rCBF with Dedicated PET, 7 T MR Imaging, and High-Resolution Microscopic MR Imaging at 16.4 T in APP23 Mice. J Nucl Med 2015; 56:1593-9. [DOI: 10.2967/jnumed.115.159350] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2015] [Accepted: 07/21/2015] [Indexed: 12/15/2022] Open
|
20
|
Wells JA, O'Callaghan JM, Holmes HE, Powell NM, Johnson RA, Siow B, Torrealdea F, Ismail O, Walker-Samuel S, Golay X, Rega M, Richardson S, Modat M, Cardoso MJ, Ourselin S, Schwarz AJ, Ahmed Z, Murray TK, O'Neill MJ, Collins EC, Colgan N, Lythgoe MF. In vivo imaging of tau pathology using multi-parametric quantitative MRI. Neuroimage 2015; 111:369-78. [PMID: 25700953 PMCID: PMC4626540 DOI: 10.1016/j.neuroimage.2015.02.023] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2014] [Revised: 02/04/2015] [Accepted: 02/10/2015] [Indexed: 12/29/2022] Open
Abstract
As the number of people diagnosed with Alzheimer's disease (AD) reaches epidemic proportions, there is an urgent need to develop effective treatment strategies to tackle the social and economic costs of this fatal condition. Dozens of candidate therapeutics are currently being tested in clinical trials, and compounds targeting the aberrant accumulation of tau proteins into neurofibrillary tangles (NFTs) are the focus of substantial current interest. Reliable, translatable biomarkers sensitive to both tau pathology and its modulation by treatment along with animal models that faithfully reflect aspects of the human disease are urgently required. Magnetic resonance imaging (MRI) is well established as a valuable tool for monitoring the structural brain changes that accompany AD progression. However the descent into dementia is not defined by macroscopic brain matter loss alone: non-invasive imaging measurements sensitive to protein accumulation, white matter integrity and cerebral haemodynamics probe distinct aspects of AD pathophysiology and may serve as superior biomarkers for assessing drug efficacy. Here we employ a multi-parametric array of five translatable MRI techniques to characterise the in vivo pathophysiological phenotype of the rTg4510 mouse model of tauopathy (structural imaging, diffusion tensor imaging (DTI), arterial spin labelling (ASL), chemical exchange saturation transfer (CEST) and glucose CEST). Tau-induced pathological changes included grey matter atrophy, increased radial diffusivity in the white matter, decreased amide proton transfer and hyperperfusion. We demonstrate that the above markers unambiguously discriminate between the transgenic group and age-matched controls and provide a comprehensive profile of the multifaceted neuropathological processes underlying the rTg4510 model. Furthermore, we show that ASL and DTI techniques offer heightened sensitivity to processes believed to precede detectable structural changes and, as such, provides a platform for the study of disease mechanisms and therapeutic intervention.
Collapse
Affiliation(s)
- J A Wells
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK.
| | - J M O'Callaghan
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - H E Holmes
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - N M Powell
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK; Translational Imaging Group, Centre for Medical Imaging Computing, University College London, UK
| | - R A Johnson
- Eli Lilly & Co. Ltd, Erl Wood Manor, Windlesham, Surrey GU20 6PH, UK
| | - B Siow
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - F Torrealdea
- Brain Repair & Rehabilitation, Institute of Neurology, University College London, UK
| | - O Ismail
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - S Walker-Samuel
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - X Golay
- Brain Repair & Rehabilitation, Institute of Neurology, University College London, UK
| | - M Rega
- Brain Repair & Rehabilitation, Institute of Neurology, University College London, UK
| | - S Richardson
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - M Modat
- Translational Imaging Group, Centre for Medical Imaging Computing, University College London, UK
| | - M J Cardoso
- Translational Imaging Group, Centre for Medical Imaging Computing, University College London, UK
| | - S Ourselin
- Translational Imaging Group, Centre for Medical Imaging Computing, University College London, UK
| | - A J Schwarz
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, USA
| | - Z Ahmed
- Eli Lilly & Co. Ltd, Erl Wood Manor, Windlesham, Surrey GU20 6PH, UK
| | - T K Murray
- Eli Lilly & Co. Ltd, Erl Wood Manor, Windlesham, Surrey GU20 6PH, UK
| | - M J O'Neill
- Eli Lilly & Co. Ltd, Erl Wood Manor, Windlesham, Surrey GU20 6PH, UK
| | - E C Collins
- Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, USA
| | - N Colgan
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| | - M F Lythgoe
- UCL Centre for Advanced Biomedical Imaging, Division of Medicine and Institute of Child Health, University College London, UK
| |
Collapse
|
21
|
Troprès I, Pannetier N, Grand S, Lemasson B, Moisan A, Péoc'h M, Rémy C, Barbier EL. Imaging the microvessel caliber and density: Principles and applications of microvascular MRI. Magn Reson Med 2014; 73:325-41. [DOI: 10.1002/mrm.25396] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Revised: 07/08/2014] [Accepted: 07/11/2014] [Indexed: 12/22/2022]
Affiliation(s)
- Irène Troprès
- IRMaGe; Université Grenoble Alpes; Grenoble France
- UMS 3552; CNRS; Grenoble France
- US 017; INSERM; Grenoble France
- IRMaGe, Hôpital Michallon; Centre Hospitalier Universitaire de Grenoble; Grenoble France
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France. INSERM; U836 Grenoble France
| | - Nicolas Pannetier
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Sylvie Grand
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
- CLUNI, Hôpital Michallon; Centre Hospitalier Universitaire de Grenoble; Grenoble France
| | - Benjamin Lemasson
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Anaïck Moisan
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Michel Péoc'h
- Service d'anatomo-pathologie; Centre Hospitalier Universitaire de Saint Etienne; Saint-Etienne France
- EA 2521; Université Jean Monnet; Saint-Etienne France
| | - Chantal Rémy
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| | - Emmanuel L. Barbier
- Université Joseph Fourier; Grenoble Institut des Neurosciences; Grenoble France
- INSERM; U836 Grenoble France
| |
Collapse
|
22
|
Klohs J, Rudin M, Shimshek DR, Beckmann N. Imaging of cerebrovascular pathology in animal models of Alzheimer's disease. Front Aging Neurosci 2014; 6:32. [PMID: 24659966 PMCID: PMC3952109 DOI: 10.3389/fnagi.2014.00032] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2013] [Accepted: 02/19/2014] [Indexed: 01/04/2023] Open
Abstract
In Alzheimer's disease (AD), vascular pathology may interact with neurodegeneration and thus aggravate cognitive decline. As the relationship between these two processes is poorly understood, research has been increasingly focused on understanding the link between cerebrovascular alterations and AD. This has at last been spurred by the engineering of transgenic animals, which display pathological features of AD and develop cerebral amyloid angiopathy to various degrees. Transgenic models are versatile for investigating the role of amyloid deposition and vascular dysfunction, and for evaluating novel therapeutic concepts. In addition, research has benefited from the development of novel imaging techniques, which are capable of characterizing vascular pathology in vivo. They provide vascular structural read-outs and have the ability to assess the functional consequences of vascular dysfunction as well as to visualize and monitor the molecular processes underlying these pathological alterations. This article focusses on recent in vivo small animal imaging studies addressing vascular aspects related to AD. With the technical advances of imaging modalities such as magnetic resonance, nuclear and microscopic imaging, molecular, functional and structural information related to vascular pathology can now be visualized in vivo in small rodents. Imaging vascular and parenchymal amyloid-β (Aβ) deposition as well as Aβ transport pathways have been shown to be useful to characterize their dynamics and to elucidate their role in the development of cerebral amyloid angiopathy and AD. Structural and functional imaging read-outs have been employed to describe the deleterious affects of Aβ on vessel morphology, hemodynamics and vascular integrity. More recent imaging studies have also addressed how inflammatory processes partake in the pathogenesis of the disease. Moreover, imaging can be pivotal in the search for novel therapies targeting the vasculature.
Collapse
Affiliation(s)
- Jan Klohs
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich Zurich, Switzerland ; Neuroscience Center Zurich, University of Zurich and ETH Zurich Zurich, Switzerland
| | - Markus Rudin
- Institute for Biomedical Engineering, University of Zurich and ETH Zurich Zurich, Switzerland ; Neuroscience Center Zurich, University of Zurich and ETH Zurich Zurich, Switzerland ; Institute of Pharmacology and Toxicology, University of Zurich Zurich, Switzerland
| | - Derya R Shimshek
- Autoimmunity, Transplantation and Inflammation/Neuroinflammation Department, Novartis Institutes for BioMedical Research Basel, Switzerland
| | - Nicolau Beckmann
- Analytical Sciences and Imaging, Novartis Institutes for BioMedical Research Basel, Switzerland
| |
Collapse
|
23
|
Pannetier NA, Sohlin M, Christen T, Schad L, Schuff N. Numerical modeling of susceptibility-related MR signal dephasing with vessel size measurement: phantom validation at 3T. Magn Reson Med 2013; 72:646-58. [PMID: 24167116 DOI: 10.1002/mrm.24968] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Revised: 08/05/2013] [Accepted: 09/04/2013] [Indexed: 11/09/2022]
Abstract
PURPOSE MRI is used to obtain quantitative oxygenation and blood volume information from the susceptibility-related MR signal dephasing induced by blood vessels. However, analytical models that fit the MR signal are usually not accurate over the range of small blood vessels. Moreover, recent studies have demonstrated limitations in the simultaneous assessment of oxygenation and blood volume. In this study, a multiparametric MRI framework that aims to measure vessel radii in addition to magnetic susceptibility and volume fraction was introduced. METHODS The protocol consisted of gradient-echo sampling of the spin-echo, diffusion, T2, and B0 acquisitions. After correction steps, the data were postprocessed with a versatile numerical model of the MR signal. An important analytical model was implemented for comparison. The approach was validated in phantoms with coiling strings as proxy for blood vessels. RESULTS The feasibility of the vessel radius measurement is demonstrated. The numerical model shows an improved accuracy compared with the analytical approach. However, both methods overestimate the radius. The simultaneous measurement of the magnetic susceptibility and the volume fraction remains challenging. CONCLUSION The results suggest that this approach could be interesting in vivo to better characterize the microvasculature without contrast agent.
Collapse
Affiliation(s)
- Nicolas A Pannetier
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA; Center for Imaging of Neurodegenerative Diseases, Department of Veterans Affairs Medical Center, San Francisco, California, USA
| | | | | | | | | |
Collapse
|
24
|
Zerbi V, Jansen D, Wiesmann M, Fang X, Broersen LM, Veltien A, Heerschap A, Kiliaan AJ. Multinutrient diets improve cerebral perfusion and neuroprotection in a murine model of Alzheimer's disease. Neurobiol Aging 2013; 35:600-13. [PMID: 24210253 DOI: 10.1016/j.neurobiolaging.2013.09.038] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Revised: 08/19/2013] [Accepted: 09/30/2013] [Indexed: 01/30/2023]
Abstract
Nutritional intervention may retard the development of Alzheimer's disease (AD). In this study we tested the effects of 2 multi-nutrient diets in an AD mouse model (APPswe/PS1dE9). One diet contained membrane precursors such as omega-3 fatty acids and uridine monophosphate (DEU), whereas another diet contained cofactors for membrane synthesis as well (Fortasyn); the diets were developed to enhance synaptic membranes synthesis, and contain components that may improve vascular health. We measured cerebral blood flow (CBF) and water diffusivity with ultra-high-field magnetic resonance imaging, as alterations in these parameters correlate with clinical symptoms of the disease. APPswe/PS1dE9 mice on control diet showed decreased CBF and changes in brain water diffusion, in accordance with findings of hypoperfusion, axonal disconnection and neuronal loss in patients with AD. Both multinutrient diets were able to increase cortical CBF in APPswe/PS1dE9 mice and Fortasyn reduced water diffusivity, particularly in the dentate gyrus and in cortical regions. We suggest that a specific diet intervention has the potential to slow AD progression, by simultaneously improving cerebrovascular health and enhancing neuroprotective mechanisms.
Collapse
Affiliation(s)
- Valerio Zerbi
- Department of Anatomy, Donders Institute for Brain Cognition & Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands; Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
| | | | | | | | | | | | | | | |
Collapse
|
25
|
Klohs J, Politano IW, Deistung A, Grandjean J, Drewek A, Dominietto M, Keist R, Schweser F, Reichenbach JR, Nitsch RM, Knuesel I, Rudin M. Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging. PLoS One 2013; 8:e66097. [PMID: 23840405 PMCID: PMC3686820 DOI: 10.1371/journal.pone.0066097] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 05/02/2013] [Indexed: 12/20/2022] Open
Abstract
Magnetic resonance imaging (MRI) can be used to monitor pathological changes in Alzheimer's disease (AD). The objective of this longitudinal study was to assess the effects of progressive amyloid-related pathology on multiple MRI parameters in transgenic arcAβ mice, a mouse model of cerebral amyloidosis. Diffusion-weighted imaging (DWI), T1-mapping and quantitative susceptibility mapping (QSM), a novel MRI based technique, were applied to monitor structural alterations and changes in tissue composition imposed by the pathology over time. Vascular function and integrity was studied by assessing blood-brain barrier integrity with dynamic contrast-enhanced MRI and cerebral microbleed (CMB) load with susceptibility weighted imaging and QSM. A linear mixed effects model was built for each MRI parameter to incorporate effects within and between groups (i.e. genotype) and to account for changes unrelated to the disease pathology. Linear mixed effects modelling revealed a strong association of all investigated MRI parameters with age. DWI and QSM in addition revealed differences between arcAβ and wt mice over time. CMBs became apparent in arcAβ mice with 9 month of age; and the CMB load reflected disease stage. This study demonstrates the benefits of linear mixed effects modelling of longitudinal imaging data. Moreover, the diagnostic utility of QSM and assessment of CMB load should be exploited further in studies of AD.
Collapse
Affiliation(s)
- Jan Klohs
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- * E-mail:
| | - Igna Wojtyna Politano
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital – Friedrich Schiller University Jena, Jena, Germany
| | - Joanes Grandjean
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Anna Drewek
- Seminar für Statistik, ETH Zurich, Zurich, Switzerland
| | - Marco Dominietto
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
| | - Ruth Keist
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
| | - Ferdinand Schweser
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital – Friedrich Schiller University Jena, Jena, Germany
| | - Jürgen R. Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital – Friedrich Schiller University Jena, Jena, Germany
| | - Roger M. Nitsch
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Division of Psychiatry Research, University of Zurich, Zurich, Switzerland
| | - Irene Knuesel
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| | - Markus Rudin
- Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
| |
Collapse
|
26
|
Cortical atrophy and hypoperfusion in a transgenic mouse model of Alzheimer's disease. Neurobiol Aging 2013; 34:1644-52. [DOI: 10.1016/j.neurobiolaging.2012.11.022] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Revised: 11/24/2012] [Accepted: 11/26/2012] [Indexed: 01/24/2023]
|
27
|
Alzheimer's disease biomarkers: correspondence between human studies and animal models. Neurobiol Dis 2013; 56:116-30. [PMID: 23631871 DOI: 10.1016/j.nbd.2013.04.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2012] [Revised: 04/11/2013] [Accepted: 04/18/2013] [Indexed: 01/05/2023] Open
Abstract
Alzheimer's disease (AD) represents an escalating global threat as life expectancy and disease prevalence continue to increase. There is a considerable need for earlier diagnoses to improve clinical outcomes. Fluid biomarkers measured from cerebrospinal fluid (CSF) and blood, or imaging biomarkers have considerable potential to assist in the diagnosis and management of AD. An additional important utility of biomarkers is in novel therapeutic development and clinical trials to assess efficacy and side effects of therapeutic interventions. Because many biomarkers are initially examined in animal models, the extent to which markers translate from animals to humans is an important issue. The current review highlights many existing and pipeline biomarker approaches, focusing on the degree of correspondence between AD patients and animal models. The review also highlights the need for greater translational correspondence between human and animal biomarkers.
Collapse
|
28
|
Kara F, Chen F, Ronen I, de Groot HJM, Matysik J, Alia A. In vivo measurement of transverse relaxation time in the mouse brain at 17.6 T. Magn Reson Med 2012; 70:985-93. [PMID: 23161407 DOI: 10.1002/mrm.24533] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2012] [Revised: 09/26/2012] [Accepted: 09/27/2012] [Indexed: 11/09/2022]
Abstract
PURPOSE To establish regional T1 and T2 values of the healthy mouse brain at ultra-high magnetic field strength of 17.6 T and to follow regional brain T1 and T2 changes with age. METHODS In vivo T1 and T2 values in the C57BL/6J mouse brain were followed with age using multislice-multiecho sequence and multiple spin echo saturation recovery with variable repetition time sequence, respectively, at 9.4 and 17.6 T. Gadolinium-tetra-azacyclo-dodecane-tetra-acetic acid phantoms were used to validate in vivo T2 measurements. Student's t-test was used to compare mean relaxation values. RESULTS A field-dependent decrease in T2 is shown and validated with phantom measurements. T2 values at 17.6 T typically increased with age in multiple brain regions except in the hypothalamus and the caudate-putamen, where a slight decrease was observed. Furthermore, T1 values in various brain regions of young and old mice are presented at 17.6 T. A large gain in signal-to-noise ratio was observed at 17.6 T. CONCLUSIONS This study establishes for the first time the normative T1 and T2 values at 17.6 T over different mouse brain regions with age. The estimates of in vivo T1 and T2 will be useful to optimize pulse sequences for optimal image contrast at 17.6 T and will serve as baseline values against which disease-related relaxation changes can be assessed in mice.
Collapse
Affiliation(s)
- Firat Kara
- Solid State NMR, Leiden Institute of Chemistry, Gorlaeus Laboratoria, Leiden, The Netherlands
| | | | | | | | | | | |
Collapse
|
29
|
Zerbi V, Jansen D, Dederen PJ, Veltien A, Hamans B, Liu Y, Heerschap A, Kiliaan AJ. Microvascular cerebral blood volume changes in aging APPswe/PS1dE9 AD mouse model: a voxel-wise approach. Brain Struct Funct 2012; 218:1085-98. [DOI: 10.1007/s00429-012-0448-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Accepted: 07/30/2012] [Indexed: 10/28/2022]
|
30
|
Perles-Barbacaru AT, Berger F, Lahrech H. Quantitative rapid steady state T1 magnetic resonance imaging for cerebral blood volume mapping in mice: Lengthened measurement time window with intraperitoneal Gd-DOTA injection. Magn Reson Med 2012; 69:1451-6. [PMID: 22760854 DOI: 10.1002/mrm.24365] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2011] [Revised: 04/20/2012] [Accepted: 05/13/2012] [Indexed: 11/09/2022]
Abstract
This work demonstrates how the rapid steady state T1 MRI technique for cerebral blood volume fraction (BVf) quantification can be used with intraperitoneal Gd-DOTA injections in mice at 4.7 T. The peak signal amplitude after intravenous administration (0.7 mmol/kg) and the steady state signal amplitude reached 15 min after intraperitoneal administration (6 mmol/kg) in the same mice lead to equivalent BVf measures in the order of 0.02 in the brain. The resulting time window for BVf quantification is ≈30 min and allows for cerebral BVf mapping with increased spatial resolution or signal-to-noise ratio, or for monitoring functional BVf changes. A cerebral BVf increase of up to 25% induced by the vasodilator acetazolamide was observed, validating the vascular origin of the signal. The noninvasive and quantitative rapid steady state T1 technique can be used in serial studies to evaluate new drugs or disease models, such as antiangiogenic therapies in tumors.
Collapse
|
31
|
Abstract
Perfusion MRI is a tool to assess the spatial distribution of microvascular blood flow. Arterial spin labeling (ASL) is shown here to be advantageous for quantification of cerebral microvascular blood flow (CBF) in rodents. This technique is today ready for assessment of a variety of murine models of human pathology including those associated with diffuse microvascular dysfunction. This chapter provides an introduction to the principles of CBF measurements by MRI along with a short overview over applications in which these measurements were found useful. The basics of commonly employed specific arterial spin-labeling techniques are described and theory is outlined in order to give the reader the ability to set up adequate post-processing tools. Three typical MR protocols for pulsed ASL on two different MRI systems are described in detail along with all necessary sequence parameters and technical requirements. The importance of the different parameters entering theory is discussed. Particular steps for animal preparation and maintenance during the experiment are given, since CBF regulation is sensitive to a number of experimental physiological parameters and influenced mainly by anesthesia and body temperature.
Collapse
|
32
|
Chugh BP, Bishop J, Zhou YQ, Wu J, Henkelman RM, Sled JG. Robust method for 3D arterial spin labeling in mice. Magn Reson Med 2011; 68:98-106. [PMID: 22102489 DOI: 10.1002/mrm.23209] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2011] [Revised: 08/15/2011] [Accepted: 08/16/2011] [Indexed: 11/12/2022]
Abstract
Arterial spin labeling is a versatile perfusion quantification methodology, which has the potential to provide accurate characterization of cerebral blood flow (CBF) in mouse models. However, a paucity of physiological data needed for accurate modeling, more stringent requirements for gradient performance, and strong artifacts introduced by magnetization transfer present special challenges for accurate CBF mapping in the mouse. This article describes robust mapping of CBF over three-dimensional brain regions using amplitude-modulated continuous arterial spin labeling. To provide physiological data for CBF modeling, the carotid artery blood velocity distribution was characterized using pulsed-wave Doppler ultrasound. These blood velocity measurements were used in simulations that optimize inversion efficiency for parameters meeting MRI gradient duty cycle constraints. A rapid slice positioning algorithm was developed and evaluated to provide accurate positioning of the labeling plane. To account for enhancement of T(1) due to magnetization transfer, a binary spin bath model of magnetization transfer was used to provide a more accurate estimate of CBF. Finally, a study of CBF was conducted on 10 mice with findings of highly reproducible inversion efficiency (mean ± standard-error-of-the-mean, 0.67 ± 0.03), statistically significant variation in CBF over 12 brain regions (P < 0.0001) and a mean ± standard-error-of-the-mean whole brain CBF of 219 ± 6 mL/100 g/min.
Collapse
Affiliation(s)
- Brige Paul Chugh
- Mouse Imaging Centre, The Hospital for Sick Children, Toronto, Ontario, Canada.
| | | | | | | | | | | |
Collapse
|
33
|
Duhamel G, Callot V, Tachrount M, Alsop DC, Cozzone PJ. Pseudo-continuous arterial spin labeling at very high magnetic field (11.75 T) for high-resolution mouse brain perfusion imaging. Magn Reson Med 2011; 67:1225-36. [DOI: 10.1002/mrm.23096] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2011] [Revised: 06/10/2011] [Accepted: 06/21/2011] [Indexed: 12/27/2022]
|
34
|
Oosterlinck WW, Dresselaers T, Geldhof V, Van Santvoort A, Robberecht W, Herijgers P, Himmelreich U. Response of mouse brain perfusion to hypo- and hyperventilation measured by arterial spin labeling. Magn Reson Med 2011; 66:802-11. [DOI: 10.1002/mrm.23060] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2010] [Revised: 04/06/2011] [Accepted: 05/25/2011] [Indexed: 11/10/2022]
|
35
|
Rotman M, Snoeks TJA, van der Weerd L. Pre-clinical optical imaging and MRI for drug development in Alzheimer's disease. DRUG DISCOVERY TODAY. TECHNOLOGIES 2011; 8:e117-e125. [PMID: 24990260 DOI: 10.1016/j.ddtec.2011.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Optical and magnetic resonance imaging have the potential to be complementary non-invasive imaging modalities. Yet without advances in imaging technologies and contrast agents both have short-comings that cannot be ignored. In this review we demonstrate the pre-clinical use of the two imaging techniques in Alzheimer's disease, including examples from recent applications and discuss what is needed to improve their applicability for drug discovery.:
Collapse
Affiliation(s)
- Maarten Rotman
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Thomas J A Snoeks
- Department of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Louise van der Weerd
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| |
Collapse
|
36
|
Abstract
Alzheimer’s disease, a neurodegenerative disorder, is associated with various pathological alterations to the blood–brain barrier, including disruption to the inter-endothelial tight junction proteins, altered expression of transport proteins involved in drug efflux, a reduction in cerebral blood flow and a thickening of the brain capillary basement membrane. There are many conflicting reports on whether such changes alter the ability of endogenous proteins to extravasate into the brain parenchyma, and there are even fewer reports focusing on the potential impact of these changes on drug transport into the CNS. The purpose of this review is to critically evaluate how the reported changes to the blood–brain barrier in Alzheimer’s disease have (or have not) resulted in altered CNS drug delivery, and to highlight the requirement for more rigorous and systematic studies in this field for the benefit of drug discovery and delivery scientists.
Collapse
|
37
|
Delatour B, Epelbaum S, Petiet A, Dhenain M. In vivo imaging biomarkers in mouse models of Alzheimer's disease: are we lost in translation or breaking through? Int J Alzheimers Dis 2010; 2010. [PMID: 20953404 PMCID: PMC2952791 DOI: 10.4061/2010/604853] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2010] [Accepted: 07/27/2010] [Indexed: 01/12/2023] Open
Abstract
Identification of biomarkers of Alzheimer's Disease (AD) is a critical priority to efficiently diagnose the patients, to stage the progression of neurodegeneration in living subjects, and to assess the effects of disease-modifier treatments. This paper addresses the development and usefulness of preclinical neuroimaging biomarkers of AD. It is today possible to image in vivo the brain of small rodents at high resolution and to detect the occurrence of macroscopic/microscopic lesions in these species, as well as of functional alterations reminiscent of AD pathology. We will outline three different types of imaging biomarkers that can be used in AD mouse models: biomarkers with clear translational potential, biomarkers that can serve as in vivo readouts (in particular in the context of drug discovery) exclusively for preclinical research, and finally biomarkers that constitute new tools for fundamental research on AD physiopathogeny.
Collapse
Affiliation(s)
- Benoît Delatour
- CRICM-Team "Alzheimer's and Prion Diseases", UPMC/Inserm UMR-S 975, CNRS UMR 7225, G.H. Pitié Salpêtrière, 47-83 Boulevard de l'Hôpital, 75651 Paris Cedex 13, France
| | | | | | | |
Collapse
|
38
|
Grueninger F, Bohrmann B, Czech C, Ballard TM, Frey JR, Weidensteiner C, von Kienlin M, Ozmen L. Phosphorylation of Tau at S422 is enhanced by Abeta in TauPS2APP triple transgenic mice. Neurobiol Dis 2009; 37:294-306. [PMID: 19781645 DOI: 10.1016/j.nbd.2009.09.004] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2009] [Revised: 09/01/2009] [Accepted: 09/10/2009] [Indexed: 10/20/2022] Open
Abstract
Amyloid beta peptides and microtubule-associated protein Tau are misfolded and form aggregates in brains of Alzheimer's disease patients. To examine their specific roles in the pathogenesis of Alzheimer's disease and their relevance in neurodegenerative processes, we have created TauPS2APP triple transgenic mice that express human mutated Amyloid Precursor Protein, presenilin 2 and Tau. We present a cross-sectional analysis of these mice at 4, 8, 12 and 16 months of age. By comparing with single transgenic Tau mice, we demonstrate that accumulation of Abeta in TauPS2APP triple transgenic mice impacts on Tau pathology by increasing the phosphorylation of Tau at serine 422, as determined by a novel immunodetection method that is able to reliably measure phospho-Tau species in transgenic mouse brains. The TauPS2APP triple transgenic mouse model will be very useful for studying the effect of new therapeutic paradigms on amyloid deposition and downstream neurofibrillary tangle development.
Collapse
Affiliation(s)
- Fiona Grueninger
- F. Hoffmann-La-Roche Ltd, Pharmaceutical Research Neuroscience, Basel, Switzerland
| | | | | | | | | | | | | | | |
Collapse
|