1
|
Chen T, Dai Y, Hu C, Lin Z, Wang S, Yang J, Zeng L, Li S, Li W. Cellular and molecular mechanisms of the blood-brain barrier dysfunction in neurodegenerative diseases. Fluids Barriers CNS 2024; 21:60. [PMID: 39030617 PMCID: PMC11264766 DOI: 10.1186/s12987-024-00557-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 06/20/2024] [Indexed: 07/21/2024] Open
Abstract
BACKGROUND Maintaining the structural and functional integrity of the blood-brain barrier (BBB) is vital for neuronal equilibrium and optimal brain function. Disruptions to BBB performance are implicated in the pathology of neurodegenerative diseases. MAIN BODY Early indicators of multiple neurodegenerative disorders in humans and animal models include impaired BBB stability, regional cerebral blood flow shortfalls, and vascular inflammation associated with BBB dysfunction. Understanding the cellular and molecular mechanisms of BBB dysfunction in brain disorders is crucial for elucidating the sustenance of neural computations under pathological conditions and for developing treatments for these diseases. This paper initially explores the cellular and molecular definition of the BBB, along with the signaling pathways regulating BBB stability, cerebral blood flow, and vascular inflammation. Subsequently, we review current insights into BBB dynamics in Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and multiple sclerosis. The paper concludes by proposing a unified mechanism whereby BBB dysfunction contributes to neurodegenerative disorders, highlights potential BBB-focused therapeutic strategies and targets, and outlines lessons learned and future research directions. CONCLUSIONS BBB breakdown significantly impacts the development and progression of neurodegenerative diseases, and unraveling the cellular and molecular mechanisms underlying BBB dysfunction is vital to elucidate how neural computations are sustained under pathological conditions and to devise therapeutic approaches.
Collapse
Affiliation(s)
- Tongli Chen
- School of Medicine, Hangzhou City University, Hangzhou, China
| | - Yan Dai
- School of Medicine, Hangzhou City University, Hangzhou, China
| | - Chenghao Hu
- School of Medicine, Hangzhou City University, Hangzhou, China
| | - Zihao Lin
- School of Medicine, Hangzhou City University, Hangzhou, China
| | - Shengzhe Wang
- School of Medicine, Hangzhou City University, Hangzhou, China
| | - Jing Yang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, China.
- Institute of Brain and Cognitive Science, Hangzhou City University, Hangzhou, China.
| | - Linghui Zeng
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, China.
- Institute of Brain and Cognitive Science, Hangzhou City University, Hangzhou, China.
| | - Shanshan Li
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, China.
- Institute of Brain and Cognitive Science, Hangzhou City University, Hangzhou, China.
| | - Weiyun Li
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, China.
- Institute of Brain and Cognitive Science, Hangzhou City University, Hangzhou, China.
| |
Collapse
|
2
|
Panda SP, Soni U. A review of dementia, focusing on the distinct roles of viral protein corona and MMP9 in dementia: Potential pharmacotherapeutic priorities. Ageing Res Rev 2022; 75:101560. [PMID: 35031512 DOI: 10.1016/j.arr.2022.101560] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 12/27/2021] [Accepted: 01/07/2022] [Indexed: 02/08/2023]
Abstract
Dementia, in particular, is a defining feature of Alzheimer's and Parkinson's diseases. Because of the combination of motor and cognitive impairments, Parkinson's disease dementia (PDD) has a greater impact on affected people than Alzheimer's disease dementia (ADD) and others. If one family member develops dementia, the other members will suffer greatly in terms of social and occupational functioning. Currently, no relevant treatment is available based on an examination of the absolute pathophysiology of dementia. As a result, our objective of current review encouraged to look for dementia pharmacotherapy based on their pathogenesis. We systematically searched electronic databases such as PubMed, Scopus, and ESCI for information on the pathophysiology of demetia, as well as their treatment with allopathic and herbal medications. By modulating intermediate proteins, oxidative stress, viral protein corona, and MMP9 are etiological factors that cause dementia. The pathophysiology of ADD was described by two hypotheses: the amyloid cascade hypothesis and the tau and tangle hypothesis. ADD is caused by an increase in amyloid-beta (Aβ) and neurofibrillary tangles in the cerebrum. The viral protein corona (VPC) is more contagious and helps to form amyloid-beta (Aβ) plaques and neurofibrillary tangles in the cerebrum. Thioredoxin interacting protein (TXNIP) inside the BBB encourages Aβ to become more engaged. PDD is caused by decreased or absent dopamine secretion from nerve cells in the substantia nigra, as well as PRKN gene deletion/duplication mutations, and shift in the PRKN-PACRG organisation, all of which are linked to ageing. This article discussed the pathophysiology of dementia, as well as a list of herbal medications that can easily cross the BBB and have a therapeutic effect on dementia.
Collapse
|
3
|
Xuefang L, Guihua W, Fengru M. The effect of early cognitive training and rehabilitation for patients with cognitive dysfunction in stroke. Int J Methods Psychiatr Res 2021; 30:e1882. [PMID: 34132448 PMCID: PMC8412226 DOI: 10.1002/mpr.1882] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 02/26/2021] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE This article explores the effects of early cognitive training and rehabilitation for patients with cognitive dysfunction in stroke. METHODS Stroke patients have cognitive dysfunction, and the incidence of cognitive dysfunction in stroke patients is six to nine times that of patients without stroke. This article selects 118 patients with stroke in our hospital from August 2017 to August 2019, 42 patients with stroke disorders randomly divided into two groups. Both groups of patients received conventional rehabilitation training, and the observation group performed motion observation therapy in virtual reality equipment based on conventional cognitive training. Analysis of time parameters related to rehabilitation training before and after treatment, and evaluation of standard health effects. RESULTS After 4 weeks of treatment, the cognitive training time parameters of the two groups were compared. The cognitive reaction time was shorter than that before treatment. After treatment, the scores of cognitive training and rehabilitation effects were significantly lower than those before treatment, and the two scores of the observation group were significantly lower than those of the control group. CONCLUSION Stroke patients receive early cognitive training with the support of computer-assisted technology to obtain good rehabilitation results.
Collapse
Affiliation(s)
- Liu Xuefang
- Department of Neurology, Aerospace Center Hospital, Beijing, China
| | - Wang Guihua
- Department of Neurology, Aerospace Center Hospital, Beijing, China
| | - Miao Fengru
- Department of Neurology, Aerospace Center Hospital, Beijing, China
| |
Collapse
|
4
|
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and accounts for approximately 50% to 80% of all cases of dementia. The diagnosis of probable AD is based on clinical criteria and overlapping clinical features pose a challenge to accurate diagnosis. However, neuroimaging has been included as a biomarker in various published criteria for the diagnosis of probable AD, in the absence of a confirmatory diagnostic test during life. Advances in neuroimaging techniques and their inclusion in diagnostic and research criteria for the diagnosis of AD includes the use of positron emission tomography (PET) imaging as a biomarker in various therapeutic and prognostic studies in AD. The development and application of a range of PET tracers will allow more detailed assessment of people with AD and will improve diagnostic specificity and targeted therapy of AD. The aim of this review is to summarize current evidence on PET imaging using the non-specific tracer [18F]fluorodeoxyglucose and specific tracers that target amyloid and tau pathology in people with AD.
Collapse
Affiliation(s)
- Shailendra Mohan Tripathi
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen, UK
| |
Collapse
|
5
|
Razek AAKA, Elsebaie NA. Imaging of vascular cognitive impairment. Clin Imaging 2021; 74:45-54. [PMID: 33434866 DOI: 10.1016/j.clinimag.2020.12.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 11/21/2020] [Accepted: 12/30/2020] [Indexed: 12/15/2022]
Abstract
Vascular cognitive impairment (VCI) is a major health challenge and represents the second most common cause of dementia. We review the updated imaging classification and imaging findings of different subtypes of VCI. We will focus on the magnetic resonance imaging (MRI) markers of each subtype and highlight the role of advanced MR imaging sequences in the evaluation of these patients. Small vessel dementia appears as white matter hyperintensity, lacunae, microinfarcts, and microbleeds. Large vessel dementia includes strategic infarction and multi-infarction dementias. Hypoperfusion dementia can be seen as watershed infarcts and cortical laminar necrosis. Hemorrhagic dementia results from cerebral amyloid angiopathy and cortical superficial siderosis. Hereditary forms of VCI, caused by gene mutations such as CADASIL, should be suspected when dementia presents in young patients. Mixed dementia is seen in patients with Alzheimer's disease and the coexistence of cerebrovascular disease.
Collapse
Affiliation(s)
- Ahmed Abdel Khalek Abdel Razek
- Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, Egypt; Department of Radiology, Alexandria Faculty of Medicine, Alexandria, Egypt.
| | - Nermeen A Elsebaie
- Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, Egypt; Department of Radiology, Alexandria Faculty of Medicine, Alexandria, Egypt.
| |
Collapse
|
6
|
Abstract
Cerebrovascular disease is a significant cause of cognitive impairment leading to a reduction or loss of functioning, including social and occupational. The connection cause-effect between cerebrovascular disease and cerebral infarction was originally theorized by the studies from Newcastle-Upon-Tyne, England, in the 1960s, where vascular dementia (VaD) was defined as a disease originated from several infarctions that overcome a determined threshold. It differs from Alzheimer's disease (AD), although there are various overlaps in risk factors, symptomatology, the similarity of vascular lesions, and treatment benefits. Nevertheless, AD is one-half of all cases of dementia. Cognitive impairment and dementia (VCID) has recently been proposed to include different entities such as VaD, Vascular cognitive impairment, subcortical (ischemic) VaD, and vascular cognitive disorders. VaD is the most common cause of dementia after AD. Neuroimaging is an essential part of the workup of patients with cognitive decline and in those with suspected VCID it should be used to assess the extent, location, and type of vascular lesions. Computed tomography (CT) or structural magnetic resonance imaging (MRI) are usually used for the diagnosis of vascular diseases of the brain. However, images obtained from new hybrid devices could help the neurologist in the differential diagnosis between various neuropathological entities related to VCID. Single-photon emission computed tomography (SPECT) combined with CT or MRI and positron emission tomography (PET) combined with CT or MRI represent the future of neuroimaging tools as morphological and functional data can be provided simultaneously. New prospects have been developed such as hybrid PET/SPECT/CT, a high-performance prototype able to produce high-quality images but for now suitable only for small animals. Nowadays, PET/CT and PET/MRI are good performance and high-quality instruments, even if the magnetic field of MRI represents a limitation that affects the PET electronics and positron detection ability. SPECT/MRI delineates as a potential and tempting device. It could give us both functional and anatomical details, with the advantage of lack of extra ionizing radiation and high soft-tissue contrast, important features, and considerable auxiliary for differential diagnosis in the variegate word of vascular cognitive impairment. The aim of this review is to summarize the newest viewpoints in hybrid imaging in the diagnosis of VaD and to highlight pros and cons of each methodic.
Collapse
Affiliation(s)
| | - Miriam Conte
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
| | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
| |
Collapse
|
7
|
Clinical Use of Integrated Positron Emission Tomography-Magnetic Resonance Imaging for Dementia Patients. Top Magn Reson Imaging 2020; 28:299-310. [PMID: 31794502 DOI: 10.1097/rmr.0000000000000225] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Combining magnetic resonance imaging (MRI) with 2-deoxy-2-F-fluoro-D-glucose positron emission tomography (FDG-PET) data improve the imaging accuracy for detection of Alzheimer disease and related dementias. Integrated FDG-PET-MRI is a recent technical innovation that allows both imaging modalities to be obtained simultaneously from individual patients with cognitive impairment. This report describes the practical benefits and challenges of using integrated FDG-PET-MRI to support the clinical diagnosis of various dementias. Over the past 7 years, we have performed integrated FDG-PET-MRI on >1500 patients with possible cognitive impairment or dementia. The FDG-PET and MRI protocols are the same as current conventions, but are obtained simultaneously over 25 minutes. An additional Dixon MRI sequence with superimposed bone atlas is used to calculate PET attenuation correction. A single radiologist interprets all imaging data and generates 1 report. The most common positive finding is concordant temporoparietal volume loss and FDG hypometabolism that suggests increased risk for underlying Alzheimer disease. Lobar-specific atrophy and FDG hypometabolism patterns that may be subtle, asymmetric, and focal also are more easily recognized using combined FDG-PET and MRI, thereby improving detection of other neurodegeneration conditions such as primary progressive aphasias and frontotemporal degeneration. Integrated PET-MRI has many practical benefits to individual patients, referrers, and interpreting radiologists. The integrated PET-MRI system requires several modifications to standard imaging center workflows, and requires training individual radiologists to interpret both modalities in conjunction. Reading MRI and FDG-PET together increases imaging diagnostic yield for individual patients; however, both modalities have limitations in specificity.
Collapse
|
8
|
Dumba M, Khan S, Patel N, Perry L, Malhotra P, Perry R, Nijran K, Barwick T, Wallitt K, Win Z. Clinical 18F-FDG and amyloid brain positron emission tomography/CT in the investigation of cognitive impairment: where are we now? Br J Radiol 2019; 92:20181027. [PMID: 30982329 PMCID: PMC6732924 DOI: 10.1259/bjr.20181027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 03/07/2019] [Accepted: 04/03/2019] [Indexed: 12/15/2022] Open
Abstract
The number of people living with dementia is increasing, but as yet there remains no cure or disease-modifying treatment. This review aims to help readers understand the role of 18F-FDG PET/CT imaging in the investigation of cognitive impairment and how the advent of amyloid PET/CT imaging may hold the key to radically changing management of the most common form of dementia - Alzheimer's disease. The indications for 18F-FDG PET/CT and amyloid PET/CT imaging in cognitive impairment are outlined. Additionally, the mechanisms of action, technique, patient preparation and acquisition parameters for both are detailed. We conclude by providing a framework for interpreting 18F-FDG PET/CT and amyloid PET/CT imaging in the more common conditions that lead to cognitive impairment conditions with tips on avoiding pitfalls in interpretation.
Collapse
Affiliation(s)
- Maureen Dumba
- Department of Neuroradiology, Imperial College Healthcare NHS Trust, London UK
| | - Sairah Khan
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
- Radiological Sciences Unit, Imperial College Healthcare NHS Trust, London UK
| | - Laura Perry
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
- Radiological Sciences Unit, Imperial College Healthcare NHS Trust, London UK
| | - Paresh Malhotra
- Division of Brain Sciences, Imperial College, London UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London UK
| | - Richard Perry
- Division of Brain Sciences, Imperial College, London UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London UK
| | - Kuldip Nijran
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
- Radiological Sciences Unit, Imperial College Healthcare NHS Trust, London UK
| | - Tara Barwick
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
| | - Kathryn Wallitt
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London UK
| |
Collapse
|
9
|
Identifying patients with neuronal intranuclear inclusion disease in Singapore using characteristic diffusion-weighted MR images. Neuroradiology 2019; 61:1281-1290. [PMID: 31292692 DOI: 10.1007/s00234-019-02257-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 07/02/2019] [Indexed: 02/06/2023]
Abstract
PURPOSE Adult-onset neuronal intranuclear inclusion disease (NIID) is a rare neurodegenerative disorder described mainly in the Japanese population, with characteristic DWI abnormalities at the junction between gray and white matter. We identify possible cases of NIID in the picture archive and communication system (PACS) of a tertiary neurological referral hospital in Singapore and describe their radiological features. METHODS The neuroradiology imaging database was reviewed using keyword search of radiological reports to identify patients who had "subcortical U fibre" abnormalities on DWI. MRI were retrospectively reviewed, and those fulfilling inclusion criteria were invited for skin biopsy to detect nuclear inclusions by light and electron microscopy. RESULTS Twelve Chinese patients (nine female; median age 70.5 years) were enrolled. Seven patients were being assessed for dementia and five for other neurological indications. In all patients, DWI showed distinctive subcortical high signal with increased average apparent diffusion coefficient (ADC), involving frontal, parietal, and temporal more than occipital lobes; the corpus callosum and external capsule were affected in some patients. On T2-weighted images, cerebral and cerebellar atrophy and white matter hyperintensity of Fazekas grade 2 and above were seen in all patients. Three patients underwent skin biopsy; all were positive for intranuclear hyaline inclusion bodies on either p62 staining or electron microscopy, which are pathognomonic for NIID. CONCLUSION Previously undiagnosed patients with NIID can be identified by searching for abnormalities at the junction between gray and white matter on DWI in PACS and subsequently confirmed by skin biopsy. Radiologists should recognize the distinctive neuroimaging pattern of this dementing disease.
Collapse
|
10
|
|
11
|
Abstract
OBJECTIVE The purpose of this article is to provide an update on clinical PET/MRI, including current and developing clinical indications and technical developments. CONCLUSION PET/MRI is evolving rapidly, transitioning from a predominant research focus to exciting clinical practice. Key technical obstacles have been overcome, and further technical advances promise to herald significant advancements in image quality. Further optimization of protocols to address challenges posed by this hybrid modality will ensure the long-term success of PET/MRI.
Collapse
|
12
|
Ranganathan LN, Guhan R, Arun Shivaraman MM, Sankar PL, Srinivasan AV, Suriyakumar G, Periakaruppan AL. Changing Landscapes in the Neuroimaging of Dementia. Ann Indian Acad Neurol 2018; 21:98-106. [PMID: 30122833 PMCID: PMC6073959 DOI: 10.4103/aian.aian_48_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Neuroimaging in dementia has advanced several folds in the past decade. It has evolved from diagnosing secondary causes of dementia to the current use in identifying primary dementia and aid in clinically perplexing situations. There has been a leap in the imaging technology that can virtually dissect the brain with a high degree of radiopathological correlation. The neuroimaging in dementia is classified into structural, functional, and molecular imaging. Structural imaging includes voxel-based morphometry and diffusion tensor imaging. Functional imaging includes 18F-fluorodeoxy glucose positron emission tomography imaging, 99mTc hexamethylpropyleneamineoxime single photon emission computed tomography imaging, and functional magnetic resonance imaging studies. Molecular imaging includes amyloid imaging, tau imaging, and translocated protein imaging. These advancements have led to using neuroimaging as a biomarker in assessing the progression and also in deciphering prognosis of the disease. In this article, we discuss the current clinical relevance of these neurological advancements.
Collapse
Affiliation(s)
| | - R Guhan
- Resident, Institute of Neurology, Madras Medical College, Chennai, Tamil Nadu, India
| | - MM Arun Shivaraman
- Resident, Institute of Neurology, Madras Medical College, Chennai, Tamil Nadu, India
| | - P Lenin Sankar
- Resident, Institute of Neurology, Madras Medical College, Chennai, Tamil Nadu, India
| | - A. V. Srinivasan
- Emeritus Professor, The Tamil Nadu Dr. M.G.R Medical University, Chennai, Tamil Nadu, India
| | - G Suriyakumar
- Consultant Radiologist, Anderson PET-CT Institute, Chennai, Tamil Nadu, India
| | - A. L Periakaruppan
- Associate Consultant, Tamil Nadu Government Multi Super Specialty Hospital, Chennai, Tamil Nadu, India
| |
Collapse
|
13
|
Multimodality Imaging of Neurodegenerative Processes: Part 2, Atypical Dementias. AJR Am J Roentgenol 2016; 207:883-895. [DOI: 10.2214/ajr.14.12910] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
|