Suppr超能文献

阿尔茨海默病的当前神经成像技术及其在动物模型中的应用。

Current neuroimaging techniques in Alzheimer's disease and applications in animal models.

作者信息

Zhang Linda, Chang Raymond Chuen-Chung, Chu Leung-Wing, Mak Henry Ka-Fung

机构信息

Department of Diagnostic Radiology, The University of Hong Kong HKSAR.

出版信息

Am J Nucl Med Mol Imaging. 2012;2(3):386-404. Epub 2012 Jul 10.

Abstract

With Alzheimer's disease (AD) quickly becoming the most costly disease to society, and with no disease-modifying treatment currently, prevention and early detection have become key points in AD research. Important features within this research focus on understanding disease pathology, as well as finding biomarkers that can act as early indicators and trackers of disease progression or potential treatment. With the advances in neuroimaging technology and the development of new imaging techniques, the search for cheap, noninvasive, sensitive biomarkers becomes more accessible. Modern neuroimaging techniques are able to cover most aspects of disease pathology, including visualization of senile plaques and neurofibrillary tangles, cortical atrophy, neuronal loss, vascular damage, and changes in brain biochemistry. These methods can provide complementary information, resulting in an overall picture of AD. Additionally, applying neuroimaging to animal models of AD could bring about greater understanding in disease etiology and experimental treatments whilst remaining in vivo. In this review, we present the current neuroimaging techniques used in AD research in both their human and animal applications, and discuss how this fits in to the overall goal of understanding AD.

摘要

随着阿尔茨海默病(AD)迅速成为对社会成本最高的疾病,且目前尚无疾病修饰治疗方法,预防和早期检测已成为AD研究的重点。该研究的重要特征集中在理解疾病病理学,以及寻找可作为疾病进展或潜在治疗的早期指标和追踪器的生物标志物。随着神经成像技术的进步和新成像技术的发展,寻找廉价、无创、敏感的生物标志物变得更加可行。现代神经成像技术能够涵盖疾病病理学的大多数方面,包括老年斑和神经原纤维缠结的可视化、皮质萎缩、神经元丢失、血管损伤以及脑生化变化。这些方法可以提供互补信息,从而形成AD的整体图景。此外,将神经成像应用于AD动物模型可以在保持体内状态的同时,增进对疾病病因和实验性治疗的理解。在本综述中,我们介绍了目前在AD研究中用于人类和动物的神经成像技术,并讨论了这如何契合理解AD的总体目标。

相似文献

1
Current neuroimaging techniques in Alzheimer's disease and applications in animal models.
Am J Nucl Med Mol Imaging. 2012;2(3):386-404. Epub 2012 Jul 10.
3
MR Brain Screening using Optimization Techniques - A Survey.
Curr Med Imaging. 2023;19(2):126-135. doi: 10.2174/1573405617666211126154101.
4
A literature review of MRI techniques used to detect amyloid-beta plaques in Alzheimer's disease patients.
Ann Palliat Med. 2021 Sep;10(9):10062-10074. doi: 10.21037/apm-21-825. Epub 2021 Sep 17.
6
A review of β-amyloid neuroimaging in Alzheimer's disease.
Front Neurosci. 2014 Oct 31;8:327. doi: 10.3389/fnins.2014.00327. eCollection 2014.
7
Neuroimaging correlates of pathologically defined subtypes of Alzheimer's disease: a case-control study.
Lancet Neurol. 2012 Oct;11(10):868-77. doi: 10.1016/S1474-4422(12)70200-4. Epub 2012 Sep 3.
8
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.
Alzheimers Dement. 2013 Sep;9(5):e111-94. doi: 10.1016/j.jalz.2013.05.1769. Epub 2013 Aug 7.
9
Core candidate neurochemical and imaging biomarkers of Alzheimer's disease.
Alzheimers Dement. 2008 Jan;4(1):38-48. doi: 10.1016/j.jalz.2007.08.006. Epub 2007 Dec 21.
10
Quantitative multimodal multiparametric imaging in Alzheimer's disease.
Brain Inform. 2016 Mar;3(1):29-37. doi: 10.1007/s40708-015-0028-9. Epub 2016 Jan 8.

引用本文的文献

1
Fully automated radiosynthesis of [F]FCPPC for imaging microglia with PET.
Am J Nucl Med Mol Imaging. 2024 Dec 15;14(6):351-356. doi: 10.62347/QFGP5253. eCollection 2024.
3
Automated radiosynthesis of [C]CPPC for in-human PET imaging applications.
Am J Nucl Med Mol Imaging. 2024 Apr 25;14(2):144-148. doi: 10.62347/MXKZ6739. eCollection 2024.
4
Investigating the Potential Impact of Air Pollution on Alzheimer's Disease and the Utility of Multidimensional Imaging for Early Detection.
ACS Omega. 2024 Feb 15;9(8):8615-8631. doi: 10.1021/acsomega.3c06328. eCollection 2024 Feb 27.
5
Automated radiosynthesis of [F]FMPEP- for cannabinoid receptor PET imaging.
Am J Nucl Med Mol Imaging. 2023 Aug 15;13(4):171-178. eCollection 2023.
6
Automated production of [F]Flortaucipir for PET imaging of tauopathies.
Am J Nucl Med Mol Imaging. 2021 Jun 15;11(3):167-177. eCollection 2021.
7
Identification of marker genes in Alzheimer's disease using a machine-learning model.
Bioinformation. 2021 Feb 28;17(2):348-355. doi: 10.6026/97320630017348. eCollection 2021.
9
Insight into the Molecular Imaging of Alzheimer's Disease.
Int J Biomed Imaging. 2016;2016:7462014. doi: 10.1155/2016/7462014. Epub 2016 Jan 10.
10
Near-infrared fluorescence molecular imaging of amyloid beta species and monitoring therapy in animal models of Alzheimer's disease.
Proc Natl Acad Sci U S A. 2015 Aug 4;112(31):9734-9. doi: 10.1073/pnas.1505420112. Epub 2015 Jul 21.

本文引用的文献

2
Amyloid vs FDG-PET in the differential diagnosis of AD and FTLD.
Neurology. 2011 Dec 6;77(23):2034-42. doi: 10.1212/WNL.0b013e31823b9c5e. Epub 2011 Nov 30.
4
The projected effect of risk factor reduction on Alzheimer's disease prevalence.
Lancet Neurol. 2011 Sep;10(9):819-28. doi: 10.1016/S1474-4422(11)70072-2. Epub 2011 Jul 19.
5
Parkinson disease: diagnostic utility of diffusion kurtosis imaging.
Radiology. 2011 Oct;261(1):210-7. doi: 10.1148/radiol.11102277. Epub 2011 Jul 19.
7
Magnetic resonance imaging of amyloid plaques in transgenic mouse models of Alzheimer's disease.
Curr Med Imaging Rev. 2011 Feb;7(1):3-7. doi: 10.2174/157340511794653522.
8
Volumetric MRI and MRS provide sensitive measures of Alzheimer's disease neuropathology in inducible Tau transgenic mice (rTg4510).
Neuroimage. 2011 Feb 14;54(4):2652-8. doi: 10.1016/j.neuroimage.2010.10.067. Epub 2010 Oct 28.
10
Cerebrospinal fluid biomarkers in the differential diagnosis of Alzheimer's disease from other cortical dementias.
J Neurol Neurosurg Psychiatry. 2011 Mar;82(3):240-6. doi: 10.1136/jnnp.2010.207183. Epub 2010 Aug 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验