1
|
Luo Z, Xu H, Liu L, Ohulchanskyy TY, Qu J. Optical Imaging of Beta-Amyloid Plaques in Alzheimer's Disease. BIOSENSORS 2021; 11:255. [PMID: 34436057 PMCID: PMC8392287 DOI: 10.3390/bios11080255] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/21/2021] [Accepted: 07/26/2021] [Indexed: 02/02/2023]
Abstract
Alzheimer's disease (AD) is a multifactorial, irreversible, and incurable neurodegenerative disease. The main pathological feature of AD is the deposition of misfolded β-amyloid protein (Aβ) plaques in the brain. The abnormal accumulation of Aβ plaques leads to the loss of some neuron functions, further causing the neuron entanglement and the corresponding functional damage, which has a great impact on memory and cognitive functions. Hence, studying the accumulation mechanism of Aβ in the brain and its effect on other tissues is of great significance for the early diagnosis of AD. The current clinical studies of Aβ accumulation mainly rely on medical imaging techniques, which have some deficiencies in sensitivity and specificity. Optical imaging has recently become a research hotspot in the medical field and clinical applications, manifesting noninvasiveness, high sensitivity, absence of ionizing radiation, high contrast, and spatial resolution. Moreover, it is now emerging as a promising tool for the diagnosis and study of Aβ buildup. This review focuses on the application of the optical imaging technique for the determination of Aβ plaques in AD research. In addition, recent advances and key operational applications are discussed.
Collapse
Affiliation(s)
| | | | | | | | - Junle Qu
- Center for Biomedical Photonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China; (Z.L.); (H.X.); (L.L.); (T.Y.O.)
| |
Collapse
|
2
|
Zhang Y, Ding C, Li C, Wang X. Advances in fluorescent probes for detection and imaging of amyloid-β peptides in Alzheimer's disease. Adv Clin Chem 2021; 103:135-190. [PMID: 34229849 DOI: 10.1016/bs.acc.2020.08.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Amyloid plaques generated from the accumulation of amyloid-β peptides (Aβ) fibrils in the brain is one of the main hallmarks of Alzheimer's disease (AD), a most common neurodegenerative disorder. Aβ aggregation can produce neurotoxic oligomers and fibrils, which has been widely accepted as the causative factor in AD pathogenesis. Accordingly, both soluble oligomers and insoluble fibrils have been considered as diagnostic biomarkers for AD. Among the existing analytical methods, fluorometry using fluorescent probes has exhibited promising potential in quantitative detection and imaging of both soluble and insoluble Aβ species, providing a valuable approach for the diagnosis and drug development of AD. In this review, the most recent advances in the fluorescent probes for soluble or insoluble Aβ aggregates are discussed in terms of design strategy, probing mechanism, and potential applications. In the end, future research directions of fluorescent probes for Aβ species are also proposed.
Collapse
Affiliation(s)
- Yunhua Zhang
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing, PR China
| | - Cen Ding
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing, PR China
| | - Changhong Li
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing, PR China
| | - Xiaohui Wang
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing, PR China; State Key Laboratory of Coordination Chemistry, Nanjing University, Nanjing, PR China.
| |
Collapse
|
3
|
Yang J, Zeng F, Ge Y, Peng K, Li X, Li Y, Xu Y. Development of Near-Infrared Fluorescent Probes for Use in Alzheimer’s Disease Diagnosis. Bioconjug Chem 2019; 31:2-15. [DOI: 10.1021/acs.bioconjchem.9b00695] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Jian Yang
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Fantian Zeng
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Yiran Ge
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Kewen Peng
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Xiaofang Li
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Yuyan Li
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 21009, China
| | - Yungen Xu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
- Jiangsu Key Laboratory of Drug Design and Optimization, Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 21009, China
| |
Collapse
|
4
|
Zhou K, Yuan C, Dai B, Wang K, Chen Y, Ma D, Dai J, Liang Y, Tan H, Cui M. Environment-Sensitive Near-Infrared Probe for Fluorescent Discrimination of Aβ and Tau Fibrils in AD Brain. J Med Chem 2019; 62:6694-6704. [DOI: 10.1021/acs.jmedchem.9b00672] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Kaixiang Zhou
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Chang Yuan
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Bin Dai
- Hubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Kan Wang
- Hubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Yimin Chen
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Denglei Ma
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing 100053, China
| | - Jiapei Dai
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan 430074, China
| | - Yi Liang
- Hubei Key Laboratory of Cell Homeostasis, State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Hongwei Tan
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China
| | - Mengchao Cui
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
5
|
Zhu Y, Jha AK, Wong DF, Rahmim A. Image reconstruction in fluorescence molecular tomography with sparsity-initialized maximum-likelihood expectation maximization. BIOMEDICAL OPTICS EXPRESS 2018; 9:3106-3121. [PMID: 29984086 PMCID: PMC6033581 DOI: 10.1364/boe.9.003106] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 05/16/2018] [Accepted: 05/23/2018] [Indexed: 06/08/2023]
Abstract
We present a reconstruction method involving maximum-likelihood expectation maximization (MLEM) to model Poisson noise as applied to fluorescence molecular tomography (FMT). MLEM is initialized with the output from a sparse reconstruction-based approach, which performs truncated singular value decomposition-based preconditioning followed by fast iterative shrinkage-thresholding algorithm (FISTA) to enforce sparsity. The motivation for this approach is that sparsity information could be accounted for within the initialization, while MLEM would accurately model Poisson noise in the FMT system. Simulation experiments show the proposed method significantly improves images qualitatively and quantitatively. The method results in over 20 times faster convergence compared to uniformly initialized MLEM and improves robustness to noise compared to pure sparse reconstruction. We also theoretically justify the ability of the proposed approach to reduce noise in the background region compared to pure sparse reconstruction. Overall, these results provide strong evidence to model Poisson noise in FMT reconstruction and for application of the proposed reconstruction framework to FMT imaging.
Collapse
Affiliation(s)
- Yansong Zhu
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD,
USA
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD,
USA
| | - Abhinav K. Jha
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD,
USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO,
USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO,
USA
| | - Dean F. Wong
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD,
USA
- Department of Neuroscience, Johns Hopkins University, Baltimore, MD,
USA
- Department of Psychiatry and Behavioral Science, Johns Hopkins University, Baltimore, MD,
USA
- Department of Neurology, Johns Hopkins University, Baltimore, MD,
USA
| | - Arman Rahmim
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD,
USA
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD,
USA
| |
Collapse
|
6
|
Dao P, Ye F, Liu Y, Du ZY, Zhang K, Dong CZ, Meunier B, Chen H. Development of Phenothiazine-Based Theranostic Compounds That Act Both as Inhibitors of β-Amyloid Aggregation and as Imaging Probes for Amyloid Plaques in Alzheimer's Disease. ACS Chem Neurosci 2017; 8:798-806. [PMID: 28097868 DOI: 10.1021/acschemneuro.6b00380] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Early detection of Alzheimer's disease (AD) is imperative in enabling the understanding and clinical treatment of this disorder, as well as in preventing its progression. Imaging agents specifically targeting Aβ plaques in the brain and the retina may lead to the early diagnosis of AD. Among them, near-infrared fluorescent (NIRF) imaging has emerged as an attractive tool to noninvasively identify and monitor diseases during the preclinical and early stages. In the present study, we report the design, synthesis, and evaluation of a series of new near-infrared fluorescent probes. Most of these probes displayed maximum emission in PBS (>650 nm), which falls in the good range for NIRF probes. Among them, 4a1 showed the highest affinity toward Aβ aggregates (Kd = 7.5 nM) and an excellent targeting ability for Aβ plaques in slices of brain and retina tissue from double transgenic mice. These compounds are also found to effectively prevent Aβ fibril formation and disaggregate preformed Aβ fibrils, showing a promising potential as theranostic agents for the diagnosis and therapy of AD.
Collapse
Affiliation(s)
- Pascal Dao
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
| | - Feifei Ye
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
| | - Yan Liu
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
| | - Zhi Yun Du
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
| | - Kun Zhang
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
| | - Chang Zhi Dong
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
- Université Paris Diderot, Sorbonne Paris Cité, ITODYS, UMR 7086 CNRS, 15 rue J-A de Baïf, 75205 Cedex
13 Paris, France
| | - Bernard Meunier
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
- Laboratoire,
de Chimie de Coordination du CNRS, 205 Route de Narbonne, 31077 Cedex Toulouse, France
| | - Huixiong Chen
- Faculty
of Light Industry and Chemical Engineering, Guang Dong University of Technology, Guangzhou, Guang Dong 510006, China
- CNRS,
UMR8601, Laboratoire de Chimie et Biochimie Pharmacologiques et Toxicologiques,
CBNIT, Université Paris Descartes PRES Sorbonne Paris Cité, UFR Biomédicale, 45 rue des Saints-Pères, 75270 Cedex 06 Paris, France
| |
Collapse
|
7
|
Xie T, Zaidi H. Development of computational small animal models and their applications in preclinical imaging and therapy research. Med Phys 2016; 43:111. [PMID: 26745904 DOI: 10.1118/1.4937598] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The development of multimodality preclinical imaging techniques and the rapid growth of realistic computer simulation tools have promoted the construction and application of computational laboratory animal models in preclinical research. Since the early 1990s, over 120 realistic computational animal models have been reported in the literature and used as surrogates to characterize the anatomy of actual animals for the simulation of preclinical studies involving the use of bioluminescence tomography, fluorescence molecular tomography, positron emission tomography, single-photon emission computed tomography, microcomputed tomography, magnetic resonance imaging, and optical imaging. Other applications include electromagnetic field simulation, ionizing and nonionizing radiation dosimetry, and the development and evaluation of new methodologies for multimodality image coregistration, segmentation, and reconstruction of small animal images. This paper provides a comprehensive review of the history and fundamental technologies used for the development of computational small animal models with a particular focus on their application in preclinical imaging as well as nonionizing and ionizing radiation dosimetry calculations. An overview of the overall process involved in the design of these models, including the fundamental elements used for the construction of different types of computational models, the identification of original anatomical data, the simulation tools used for solving various computational problems, and the applications of computational animal models in preclinical research. The authors also analyze the characteristics of categories of computational models (stylized, voxel-based, and boundary representation) and discuss the technical challenges faced at the present time as well as research needs in the future.
Collapse
Affiliation(s)
- Tianwu Xie
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva 4 CH-1211, Switzerland
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva 4 CH-1211, Switzerland; Geneva Neuroscience Center, Geneva University, Geneva CH-1205, Switzerland; and Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, The Netherlands
| |
Collapse
|
8
|
Staderini M, Martín MA, Bolognesi ML, Menéndez JC. Imaging of β-amyloid plaques by near infrared fluorescent tracers: a new frontier for chemical neuroscience. Chem Soc Rev 2015; 44:1807-19. [DOI: 10.1039/c4cs00337c] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Near infrared (NIR) imaging is a promising and non-invasive method to visualize amyloid plaquesin vivo.
Collapse
Affiliation(s)
- Matteo Staderini
- Departamento de Química Orgánica y Farmacéutica
- Facultad de Farmacia
- Universidad Complutense
- 28040 Madrid
- Spain
| | - María Antonia Martín
- Departamento de Química Analítica
- Facultad de Farmacia
- Universidad Complutense
- 28040 Madrid
- Spain
| | - Maria Laura Bolognesi
- Dipartimento di Farmacia e Biotecnologie
- Alma Mater Studiorum University of Bologna
- 40126 Bologna
- Italy
| | - J. Carlos Menéndez
- Departamento de Química Orgánica y Farmacéutica
- Facultad de Farmacia
- Universidad Complutense
- 28040 Madrid
- Spain
| |
Collapse
|
9
|
Yoshimi T, Kawabata S, Taira S, Okuno A, Mikawa R, Murayama S, Tanaka K, Takikawa O. Affinity imaging mass spectrometry (AIMS): high-throughput screening for specific small molecule interactions with frozen tissue sections. Analyst 2015; 140:7202-8. [DOI: 10.1039/c5an01381j] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A novel screening system, called affinity imaging mass spectrometry (AIMS), identifies candidate small molecules with specific affinity for nanoscale structures, including proteins, in unfixed human tissue sections.
Collapse
Affiliation(s)
- T. Yoshimi
- Laboratory of Radiation Safety
- National Center for Geriatrics and Gerontology (NCGG)
- Obu
- Japan
| | - S. Kawabata
- Koichi Tanaka Mass Spectrometry Research Laboratory
- Shimadzu Corporation
- Kyoto 604-8511
- Japan
| | - S. Taira
- Faculty of Biotechnology
- Fukui Prefectural University
- Eiheiji
- Japan
| | - A. Okuno
- Laboratory of Radiation Safety
- National Center for Geriatrics and Gerontology (NCGG)
- Obu
- Japan
| | - R. Mikawa
- Laboratory of Radiation Safety
- National Center for Geriatrics and Gerontology (NCGG)
- Obu
- Japan
| | - S. Murayama
- Departments of Neurology and Neuropathology (Brain Bank for Aging Research)
- Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology
- Tokyo 173-0015
- Japan
| | - K. Tanaka
- Koichi Tanaka Mass Spectrometry Research Laboratory
- Shimadzu Corporation
- Kyoto 604-8511
- Japan
| | - O. Takikawa
- Laboratory of Radiation Safety
- National Center for Geriatrics and Gerontology (NCGG)
- Obu
- Japan
| |
Collapse
|
10
|
Small-molecule theranostic probes: a promising future in neurodegenerative diseases. Int J Cell Biol 2013; 2013:150952. [PMID: 24324497 PMCID: PMC3845517 DOI: 10.1155/2013/150952] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2013] [Accepted: 09/03/2013] [Indexed: 12/15/2022] Open
Abstract
Prion diseases are fatal neurodegenerative illnesses, which include Creutzfeldt-Jakob disease in humans and scrapie, chronic wasting disease, and bovine spongiform encephalopathy in animals. They are caused by unconventional infectious agents consisting primarily of misfolded, aggregated, β -sheet-rich isoforms, denoted prions, of the physiological cellular prion protein (PrP(C)). Many lines of evidence suggest that prions (PrP(Sc)) act both as a template for this conversion and as a neurotoxic agent causing neuronal dysfunction and cell death. As such, PrP(Sc) may be considered as both a neuropathological hallmark of the disease and a therapeutic target. Several diagnostic imaging probes have been developed to monitor cerebral amyloid lesions in patients with neurodegenerative disorders (such as Alzheimer's disease, Parkinson's disease, and prion disease). Examples of these probes are Congo red, thioflavin T, and their derivatives. We synthesized a series of styryl derivatives, denoted theranostics, and studied their therapeutic and/or diagnostic potentials. Here we review the salient traits of these small molecules that are able to detect and modulate aggregated forms of several proteins involved in protein misfolding diseases. We then highlight the importance of further studies for their practical implications in therapy and diagnostics.
Collapse
|
11
|
Staderini M, Aulić S, Bartolini M, Tran HNA, González-Ruiz V, Pérez DI, Cabezas N, Martínez A, Martín MA, Andrisano V, Legname G, Menéndez JC, Bolognesi ML. A Fluorescent Styrylquinoline with Combined Therapeutic and Diagnostic Activities against Alzheimer's and Prion Diseases. ACS Med Chem Lett 2013; 4:225-9. [PMID: 24900645 DOI: 10.1021/ml3003605] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 12/27/2012] [Indexed: 01/09/2023] Open
Abstract
(E)-6-Methyl-4'-amino-2-styrylquinoline (3) is a small molecule with the proper features to potentially diagnose, deliver therapy and monitor response to therapy in protein misfolding diseases. These features include compound fluorescent emission in the NIR region and its ability to interact with both Aβ and prion fibrils, staining them with high selectivity. Styrylquinoline 3 also inhibits Aβ self-aggregation in vitro and prion replication in the submicromolar range in a cellular context. Furthermore, it is not toxic and is able to cross the blood brain barrier in vitro (PAMPA test).
Collapse
Affiliation(s)
| | - Suzana Aulić
- SISSA, Neuroscience
Department,
Via Bonomea 265, 34136 Trieste, Italy
| | - Manuela Bartolini
- Department of Pharmacy and Biotechnology,
Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126
Bologna, Italy
| | | | | | - Daniel I. Pérez
- Instituto
de Química
Médica-CSIC, Juan de la Cierva 3, 28006 Madrid, Spain
| | | | - Ana Martínez
- Instituto
de Química
Médica-CSIC, Juan de la Cierva 3, 28006 Madrid, Spain
| | | | - Vincenza Andrisano
- Department of Pharmacy and Biotechnology,
Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126
Bologna, Italy
| | - Giuseppe Legname
- SISSA, Neuroscience
Department,
Via Bonomea 265, 34136 Trieste, Italy
| | | | - Maria Laura Bolognesi
- Department of Pharmacy and Biotechnology,
Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126
Bologna, Italy
| |
Collapse
|