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Yue Y, Zhang X, Lv W, Lai HY, Shen T. Interplay between the glymphatic system and neurotoxic proteins in Parkinson's disease and related disorders: current knowledge and future directions. Neural Regen Res 2024; 19:1973-1980. [PMID: 38227524 DOI: 10.4103/1673-5374.390970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/26/2023] [Indexed: 01/17/2024] Open
Abstract
Parkinson's disease is a common neurodegenerative disorder that is associated with abnormal aggregation and accumulation of neurotoxic proteins, including α-synuclein, amyloid-β, and tau, in addition to the impaired elimination of these neurotoxic protein. Atypical parkinsonism, which has the same clinical presentation and neuropathology as Parkinson's disease, expands the disease landscape within the continuum of Parkinson's disease and related disorders. The glymphatic system is a waste clearance system in the brain, which is responsible for eliminating the neurotoxic proteins from the interstitial fluid. Impairment of the glymphatic system has been proposed as a significant contributor to the development and progression of neurodegenerative disease, as it exacerbates the aggregation of neurotoxic proteins and deteriorates neuronal damage. Therefore, impairment of the glymphatic system could be considered as the final common pathway to neurodegeneration. Previous evidence has provided initial insights into the potential effect of the impaired glymphatic system on Parkinson's disease and related disorders; however, many unanswered questions remain. This review aims to provide a comprehensive summary of the growing literature on the glymphatic system in Parkinson's disease and related disorders. The focus of this review is on identifying the manifestations and mechanisms of interplay between the glymphatic system and neurotoxic proteins, including loss of polarization of aquaporin-4 in astrocytic endfeet, sleep and circadian rhythms, neuroinflammation, astrogliosis, and gliosis. This review further delves into the underlying pathophysiology of the glymphatic system in Parkinson's disease and related disorders, and the potential implications of targeting the glymphatic system as a novel and promising therapeutic strategy.
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Affiliation(s)
- Yumei Yue
- Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Xiaodan Zhang
- Department of Emergency Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wen Lv
- Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Hsin-Yi Lai
- Department of Neurology of the Second Affiliated Hospital and School of Brain Science and Brain Medicine, Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang Province, China
- MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Ting Shen
- Department of Neurology of the Second Affiliated Hospital and School of Brain Science and Brain Medicine, Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
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Ryman SG, Vakhtin AA, Mayer AR, van der Horn HJ, Shaff NA, Nitschke SR, Julio KR, Tarawneh RM, Rosenberg GA, Diaz SV, Pirio Richardson SE, Lin HC. Abnormal Cerebrovascular Activity, Perfusion, and Glymphatic Clearance in Lewy Body Diseases. Mov Disord 2024; 39:1258-1268. [PMID: 38817039 PMCID: PMC11341260 DOI: 10.1002/mds.29867] [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: 03/21/2024] [Revised: 05/01/2024] [Accepted: 05/09/2024] [Indexed: 06/01/2024] Open
Abstract
Cerebrovascular activity is not only crucial to optimal cerebral perfusion, but also plays an important role in the glymphatic clearance of interstitial waste, including α-synuclein. This highlights a need to evaluate how cerebrovascular activity is altered in Lewy body diseases. This review begins by discussing how vascular risk factors and cardiovascular autonomic dysfunction may serve as upstream or direct influences on cerebrovascular activity. We then discuss how patients with Lewy body disease exhibit reduced and delayed cerebrovascular activity, hypoperfusion, and reductions in measures used to capture cerebrospinal fluid flow, suggestive of a reduced capacity for glymphatic clearance. Given the lack of an existing framework, we propose a model by which these processes may foster α-synuclein aggregation and neuroinflammation. Importantly, this review highlights several avenues for future research that may lead to treatments early in the disease course, prior to neurodegeneration. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Sephira G Ryman
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Andrei A Vakhtin
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Andrew R Mayer
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Harm Jan van der Horn
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Nicholas A Shaff
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Stephanie R Nitschke
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Kayla R Julio
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Rawan M Tarawneh
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
- Cognitive Neurology Section, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Gary A Rosenberg
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Shanna V Diaz
- Department of Internal Medicine, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Sarah E Pirio Richardson
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
- New Mexico VA Health Care System, Albuquerque, New Mexico, USA
| | - Henry C Lin
- Department of Internal Medicine, The University of New Mexico, Albuquerque, New Mexico, USA
- New Mexico VA Health Care System, Albuquerque, New Mexico, USA
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Wood KH, Nenert R, Miften AM, Kent GW, Sleyster M, Memon RA, Joop A, Pilkington J, Memon AA, Wilson RN, Catiul C, Szaflarski J, Amara AW. Diffusion Tensor Imaging-Along the Perivascular-Space Index Is Associated with Disease Progression in Parkinson's Disease. Mov Disord 2024. [PMID: 38988232 DOI: 10.1002/mds.29908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 06/08/2024] [Accepted: 06/14/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND The glymphatic clearance pathway is a waste clearance system that allows for removal of soluble proteins such as amyloid β (Aβ) from the brain. Higher Aβ levels are associated with cognitive dysfunction in Parkinson's disease (PD). Diffusion tensor imaging-along the perivascular space (DTI-ALPS) is an imaging measure proposed to indirectly measure glymphatic function. OBJECTIVES Evaluate differences in DTI-ALPS-index between PD and healthy controls (HC) and characterize relationships between this proposed measure of glymphatic clearance, cognition, and disease severity in PD. METHODS PD (n = 32) and HC (n = 23) participants underwent brain imaging to assess DTI-ALPS. PD participants were classified as PD-normal cognition (PD-NC; n = 20) or PD-mild cognitive impairment (PD-MCI; n = 12) based on a Level II comprehensive cognitive assessment. A subgroup of PD participants (n = 21) returned for annual assessments for up to 4 years after baseline. Longitudinal outcomes included changes in performance on the comprehensive cognitive assessment and changes in the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). RESULTS PD participants had lower DTI-ALPS-index compared to HC. PD participants classified as PD-MCI had significantly lower DTI-ALPS-index compared to PD-NC. Lower DTI-ALPS-index at baseline was associated with longitudinal cognitive decline and worse longitudinal disease severity. CONCLUSIONS Glymphatic clearance, as measured with DTI-ALPS, has potential to serve as a marker of longitudinal disease progression. Interventions targeting glymphatic function should be explored for potential to slow cognitive decline in PD. © 2024 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Kimberly H Wood
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Department of Psychology, Samford University, Birmingham, Alabama, USA
| | - Rodolphe Nenert
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Aya M Miften
- Department of Neurology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | - George W Kent
- Department of Psychology, Samford University, Birmingham, Alabama, USA
| | - Madison Sleyster
- Department of Neurology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Raima A Memon
- Department of Pathology, Emory University, Atlanta, Georgia, USA
| | - Allen Joop
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jennifer Pilkington
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Adeel A Memon
- Department of Neurology, West Virginia University, Morgantown, West Virginia, USA
| | - Riis N Wilson
- Department of Psychology, Samford University, Birmingham, Alabama, USA
| | - Corina Catiul
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jerzy Szaflarski
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Amy W Amara
- Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Department of Neurology, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
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Taoka T, Ito R, Nakamichi R, Nakane T, Kawai H, Naganawa S. Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS): Revisiting the Meaning and Significance of the Method. Magn Reson Med Sci 2024; 23:268-290. [PMID: 38569866 PMCID: PMC11234944 DOI: 10.2463/mrms.rev.2023-0175] [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] [Indexed: 04/05/2024] Open
Abstract
More than 5 years have passed since the Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS) method was proposed with the intention of evaluating the glymphatic system. This method is handy due to its noninvasiveness, provision of a simple index in a straightforward formula, and the possibility of retrospective analysis. Therefore, the ALPS method was adopted to evaluate the glymphatic system for many disorders in many studies. The purpose of this review is to look back and discuss the ALPS method at this moment.The ALPS-index was found to be an indicator of a number of conditions related to the glymphatic system. Thus, although this was expected in the original report, the results of the ALPS method are often interpreted as uniquely corresponding to the function of the glymphatic system. However, a number of subsequent studies have pointed out the problems on the data interpretation. As they rightly point out, a higher ALPS-index indicates predominant Brownian motion of water molecules in the radial direction at the lateral ventricular body level, no more and no less. Fortunately, the term "ALPS-index" has become common and is now known as a common term by many researchers. Therefore, the ALPS-index should simply be expressed as high or low, and whether it reflects a glymphatic system is better to be discussed carefully. In other words, when a decreased ALPS-index is observed, it should be expressed as "decreased ALPS-index" and not directly as "glymphatic dysfunction". Recently, various methods have been proposed to evaluate the glymphatic system. It has become clear that these methods also do not seem to reflect the entirety of the extremely complex glymphatic system. This means that it would be desirable to use various methods in combination to evaluate the glymphatic system in a comprehensive manner.
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Affiliation(s)
- Toshiaki Taoka
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rintaro Ito
- Department of Innovative Biomedical Visualization (iBMV), Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Rei Nakamichi
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Toshiki Nakane
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
| | - Hisashi Kawai
- Department of Radiology, Aichi Medical University, Nagakute, Aichi, Japan
| | - Shinji Naganawa
- Department of Radiology, Nagoya University, Nagoya, Aichi, Japan
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Wang X, Huang P, Haacke EM, Wu P, Zhang X, Zhang H, Cheng Z, Tang R, Liu F, Liu Y, Shi X, Liu P, Zhang Y, Jin Z, Chen S, He N, Yan F. MRI index of glymphatic system mediates the influence of locus coeruleus on cognition in Parkinson's disease. Parkinsonism Relat Disord 2024; 123:106558. [PMID: 38518543 DOI: 10.1016/j.parkreldis.2024.106558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 02/15/2024] [Accepted: 03/14/2024] [Indexed: 03/24/2024]
Abstract
INTRODUCTION Although locus coeruleus (LC) has been demonstrated to play a critical role in the cognitive function of Parkinson's disease (PD), the underlying mechanism has not been elucidated. The objective was to investigate the relationship among LC degeneration, cognitive performance, and the glymphatic function in PD. METHODS In this retrospective study, 71 PD subjects (21 with normal cognition; 29 with cognitive impairment (PD-MCI); 21 with dementia (PDD)) and 26 healthy controls were included. All participants underwent neuromelanin-sensitive magnetic resonance imaging (NM-MRI) and diffusion tensor image scanning on a 3.0 T scanner. The brain glymphatic function was measured using diffusion along the perivascular space (ALPS) index, while LC degeneration was estimated using the NM contrast-to-noise ratio of LC (CNRLC). RESULTS The ALPS index was significantly lower in both the whole PD group (P = 0.04) and the PDD subgroup (P = 0.02) when compared to the controls. Similarly, the CNRLC was lower in the whole PD group (P < 0.001) compared to the controls. In the PD group, a positive correlation was found between the ALPS index and both the Montreal Cognitive Assessment (MoCA) score (r = 0.36; P = 0.002) and CNRLC (r = 0.26; P = 0.03). Mediation analysis demonstrated that the ALPS index acted as a significant mediator between CNRLC and the MoCA score in PD subjects. CONCLUSION The ALPS index, a neuroimaging marker of glymphatic function, serves as a mediator between LC degeneration and cognitive function in PD.
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Affiliation(s)
- Xinhui Wang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pei Huang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ewart Mark Haacke
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; The Department of Radiology, Wayne State University, 3990, John R, Detroit, MI, USA; The Department of Neurology, Wayne State University, 3990, John R, Detroit, MI, USA
| | - Peng Wu
- Philips Healthcare, Shanghai, China
| | - Xiaobing Zhang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huihui Zhang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zenghui Cheng
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rongbiao Tang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fangtao Liu
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Liu
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaofeng Shi
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Liu
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youmin Zhang
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhijia Jin
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengdi Chen
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Naying He
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Fuhua Yan
- The Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Faculty of Medical Imaging Technology, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Li H, Jacob MA, Cai M, Kessels RPC, Norris DG, Duering M, De Leeuw FE, Tuladhar AM. Perivascular Spaces, Diffusivity Along Perivascular Spaces, and Free Water in Cerebral Small Vessel Disease. Neurology 2024; 102:e209306. [PMID: 38626373 DOI: 10.1212/wnl.0000000000209306] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies have linked the MRI measures of perivascular spaces (PVSs), diffusivity along the perivascular spaces (DTI-ALPS), and free water (FW) to cerebral small vessel disease (SVD) and SVD-related cognitive impairments. However, studies on the longitudinal associations between the three MRI measures, SVD progression, and cognitive decline are lacking. This study aimed to explore how PVS, DTI-ALPS, and FW contribute to SVD progression and cognitive decline. METHODS This is a cohort study that included participants with SVD who underwent neuroimaging and cognitive assessment, specifically measuring Mini-Mental State Examination (MMSE), cognitive index, and processing speed, at 2 time points. Three MRI measures were quantified: PVS in basal ganglia (BG-PVS) volumes, FW fraction, and DTI-ALPS. We performed a latent change score model to test inter-relations between the 3 MRI measures and linear regression mixed models to test their longitudinal associations with the changes of other SVD MRI markers and cognitive performances. RESULTS In baseline assessment, we included 289 participants with SVD, characterized by a median age of 67.0 years and 42.9% women. Of which, 220 participants underwent the follow-up assessment, with a median follow-up time of 3.4 years. Baseline DTI-ALPS was associated with changes in BG-PVS volumes (β = -0.09, p = 0.030), but not vice versa (β = -0.08, p = 0.110). Baseline BG-PVS volumes were associated with changes in white matter hyperintensity (WMH) volumes (β = 0.33, p-corrected < 0.001) and lacune numbers (β = 0.28, p-corrected < 0.001); FW fraction was associated with changes in WMH volumes (β = 0.30, p-corrected < 0.001), lacune numbers (β = 0.28, p-corrected < 0.001), and brain volumes (β = -0.45, p-corrected < 0.001); DTI-ALPS was associated with changes in WMH volumes (β = -0.20, p-corrected = 0.002) and brain volumes (β = 0.23, p-corrected < 0.001). Furthermore, baseline FW fraction was associated with decline in MMSE score (β = -0.17, p-corrected = 0.006); baseline FW fraction and DTI-ALPS were associated with changes in cognitive index (FW fraction: β = -0.25, p-corrected < 0.001; DTI-ALPS: β = 0.20, p-corrected = 0.001) and processing speed over time (FW fraction: β = -0.29, p-corrected < 0.001; DTI-ALPS: β = 0.21, p-corrected < 0.001). DISCUSSION Our results showed that increased BG-PVS volumes, increased FW fraction, and decreased DTI-ALPS are related to progression of MRI markers of SVD, along with SVD-related cognitive decline over time. These findings may suggest that the glymphatic dysfunction is related to SVD progression, but further studies are needed.
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Affiliation(s)
- Hao Li
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Mina A Jacob
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Mengfei Cai
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Roy P C Kessels
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - David G Norris
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Marco Duering
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Frank-Erik De Leeuw
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
| | - Anil Man Tuladhar
- From the Department of Neurology (H.L., M.A.J., M.C., F.-E.D.L., A.M.T.), Radboud University Medical Center, Donders Center for Medical Neurosciences, Nijmegen, the Netherlands; Department of Neurology (M.C.), Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China; Donders Institute for Brain (R.P.C.K.), Cognition and Behaviour, Radboud University, Nijmegen; Vincent van Gogh Institute for Psychiatry (R.P.C.K.), Venray; Department of Medical Psychology and Radboudumc Alzheimer Center (R.P.C.K.), Radboud University Medical Center; Donders Institute for Brain (D.G.N.), Cognition and Behaviour, Center for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands; Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering (M.D.), University of Basel, Switzerland; and Institute for Stroke and Dementia Research (ISD) (M.D.), University Hospital, LMU Munich, Germany
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Huang S, Zhang Y, Guo Y, Du J, Ren P, Wu B, Feng J, Cheng W, Yu J. Glymphatic system dysfunction predicts amyloid deposition, neurodegeneration, and clinical progression in Alzheimer's disease. Alzheimers Dement 2024; 20:3251-3269. [PMID: 38501315 PMCID: PMC11095446 DOI: 10.1002/alz.13789] [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: 08/17/2023] [Revised: 02/08/2024] [Accepted: 02/15/2024] [Indexed: 03/20/2024]
Abstract
INTRODUCTION Although glymphatic function is involved in Alzheimer's disease (AD), its potential for predicting the pathological and clinical progression of AD and its sequential association with core AD biomarkers is poorly understood. METHODS Whole-brain glymphatic activity was measured by diffusion tensor image analysis along the perivascular space (DTI-ALPS) in participants with AD dementia (n = 47), mild cognitive impairment (MCI; n = 137), and normal controls (n = 235) from the Alzheimer's Disease Neuroimaging Initiative. RESULTS ALPS index was significantly lower in AD dementia than in MCI or controls. Lower ALPS index was significantly associated with faster changes in amyloid positron emission tomography (PET) burden and AD signature region of interest volume, higher risk of amyloid-positive transition and clinical progression, and faster rates of amyloid- and neurodegeneration-related cognitive decline. Furthermore, the associations of the ALPS index with cognitive decline were fully mediated by amyloid PET and brain atrophy. DISCUSSION Glymphatic failure may precede amyloid pathology, and predicts amyloid deposition, neurodegeneration, and clinical progression in AD. HIGHLIGHTS The analysis along the perivascular space (ALPS) index is reduced in patients with Alzheimer's disease (AD) dementia, prodromal AD, and preclinical AD. Lower ALPS index predicted accelerated amyloid beta (Aβ) positron emission tomography (PET) burden and Aβ-positive transition. The decrease in the ALPS index occurs before cerebrospinal fluid Aβ42 reaches the positive threshold. ALPS index predicted brain atrophy, clinical progression, and cognitive decline. Aβ PET and brain atrophy mediated the link of ALPS index with cognitive decline.
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Affiliation(s)
- Shu‐Yi Huang
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Ya‐Ru Zhang
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Yu Guo
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jing Du
- Centre for Healthy Brain Ageing (CHeBA)Discipline of Psychiatry and Mental HealthSchool of Clinical MedicineUNSWSydneyNew South WalesAustralia
| | - Peng Ren
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
| | - Bang‐Sheng Wu
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jian‐Feng Feng
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University), Ministry of EducationShanghaiChina
- Fudan ISTBI—ZJNU Algorithm Centre for Brain‐Inspired IntelligenceZhejiang Normal UniversityJinhuaChina
| | | | - Wei Cheng
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
- Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University), Ministry of EducationShanghaiChina
- Fudan ISTBI—ZJNU Algorithm Centre for Brain‐Inspired IntelligenceZhejiang Normal UniversityJinhuaChina
- Shanghai Medical College and Zhongshan Hospital Immunotherapy Technology Transfer CenterFudan UniversityShanghaiChina
| | - Jin‐Tai Yu
- Department of Neurology and National Center for Neurological DisordersHuashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiChina
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Saponjic J, Mejías R, Nikolovski N, Dragic M, Canak A, Papoutsopoulou S, Gürsoy-Özdemir Y, Fladmark KE, Ntavaroukas P, Bayar Muluk N, Zeljkovic Jovanovic M, Fontán-Lozano Á, Comi C, Marino F. Experimental Models to Study Immune Dysfunction in the Pathogenesis of Parkinson's Disease. Int J Mol Sci 2024; 25:4330. [PMID: 38673915 PMCID: PMC11050170 DOI: 10.3390/ijms25084330] [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: 01/31/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Parkinson's disease (PD) is a chronic, age-related, progressive multisystem disease associated with neuroinflammation and immune dysfunction. This review discusses the methodological approaches used to study the changes in central and peripheral immunity in PD, the advantages and limitations of the techniques, and their applicability to humans. Although a single animal model cannot replicate all pathological features of the human disease, neuroinflammation is present in most animal models of PD and plays a critical role in understanding the involvement of the immune system (IS) in the pathogenesis of PD. The IS and its interactions with different cell types in the central nervous system (CNS) play an important role in the pathogenesis of PD. Even though culture models do not fully reflect the complexity of disease progression, they are limited in their ability to mimic long-term effects and need validation through in vivo studies. They are an indispensable tool for understanding the interplay between the IS and the pathogenesis of this disease. Understanding the immune-mediated mechanisms may lead to potential therapeutic targets for the treatment of PD. We believe that the development of methodological guidelines for experiments with animal models and PD patients is crucial to ensure the validity and consistency of the results.
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Affiliation(s)
- Jasna Saponjic
- Department of Neurobiology, Institute of Biological Research “Sinisa Stankovic”, National Institute of the Republic of Serbia, University of Belgrade, 11108 Belgrade, Serbia
| | - Rebeca Mejías
- Department of Physiology, School of Biology, University of Seville, 41012 Seville, Spain; (R.M.); (Á.F.-L.)
- Instituto de Biomedicina de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, CSIC, Universidad de Sevilla, 41013 Seville, Spain
| | - Neda Nikolovski
- Department of Immunology, Institute for Biological Research “Siniša Stanković”, National Institute of the Republic of Serbia, University of Belgrade, 11108 Belgrade, Serbia;
| | - Milorad Dragic
- Laboratory for Neurobiology, Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, 11000 Belgrade, Serbia; (M.D.); (M.Z.J.)
- Department of Molecular Biology and Endocrinology, Vinca Institute of Nuclear Sciences–National Institute of the Republic of Serbia, University of Belgrade, 11351 Belgrade, Serbia
| | - Asuman Canak
- Department of Medical Services and Techniques, Vocational School of Health Services, Recep Tayyip Erdogan University, Rize 53100, Turkey;
| | - Stamatia Papoutsopoulou
- Department of Biochemistry and Biotechnology, Faculty of Health Sciences, University of Thessaly, Biopolis, 41500 Larisa, Greece; (S.P.); (P.N.)
| | | | - Kari E. Fladmark
- Department of Biological Science, University of Bergen, 5020 Bergen, Norway;
| | - Panagiotis Ntavaroukas
- Department of Biochemistry and Biotechnology, Faculty of Health Sciences, University of Thessaly, Biopolis, 41500 Larisa, Greece; (S.P.); (P.N.)
| | - Nuray Bayar Muluk
- Department of Otorhinolaryngology, Faculty of Medicine, Kirikkale University, Kirikkale 71450, Turkey;
| | - Milica Zeljkovic Jovanovic
- Laboratory for Neurobiology, Department for General Physiology and Biophysics, Faculty of Biology, University of Belgrade, 11000 Belgrade, Serbia; (M.D.); (M.Z.J.)
| | - Ángela Fontán-Lozano
- Department of Physiology, School of Biology, University of Seville, 41012 Seville, Spain; (R.M.); (Á.F.-L.)
- Instituto de Biomedicina de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, CSIC, Universidad de Sevilla, 41013 Seville, Spain
| | - Cristoforo Comi
- Neurology Unit, Department of Translational Medicine, S. Andrea Hospital, University of Piemonte Orientale, 13100 Vercelli, Italy;
| | - Franca Marino
- Center for Research in Medical Pharmacology, School of Medicine, University of Insubria, 21100 Varese, Italy;
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Prasuhn J, Xu J, Hua J, van Zijl P, Knutsson L. Exploring neurodegenerative disorders using advanced magnetic resonance imaging of the glymphatic system. Front Psychiatry 2024; 15:1368489. [PMID: 38651012 PMCID: PMC11033437 DOI: 10.3389/fpsyt.2024.1368489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/22/2024] [Indexed: 04/25/2024] Open
Abstract
The glymphatic system, a macroscopic waste clearance system in the brain, is crucial for maintaining neural health. It facilitates the exchange of cerebrospinal and interstitial fluid, aiding the clearance of soluble proteins and metabolites and distributing essential nutrients and signaling molecules. Emerging evidence suggests a link between glymphatic dysfunction and the pathogenesis of neurodegenerative disorders, including Alzheimer's, Parkinson's, and Huntington's disease. These disorders are characterized by the accumulation and propagation of misfolded or mutant proteins, a process in which the glymphatic system is likely involved. Impaired glymphatic clearance could lead to the buildup of these toxic proteins, contributing to neurodegeneration. Understanding the glymphatic system's role in these disorders could provide insights into their pathophysiology and pave the way for new therapeutic strategies. Pharmacological enhancement of glymphatic clearance could reduce the burden of toxic proteins and slow disease progression. Neuroimaging techniques, particularly MRI-based methods, have emerged as promising tools for studying the glymphatic system in vivo. These techniques allow for the visualization of glymphatic flow, providing insights into its function under healthy and pathological conditions. This narrative review highlights current MRI-based methodologies, such as motion-sensitizing pulsed field gradient (PFG) based methods, as well as dynamic gadolinium-based and glucose-enhanced methodologies currently used in the study of neurodegenerative disorders.
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Affiliation(s)
- Jannik Prasuhn
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, University Medical Center Schleswig-Holstein, Lübeck, Germany
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
- Center for Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Jiadi Xu
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Jun Hua
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Peter van Zijl
- Division of Magnetic Resonance (MR) Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
| | - Linda Knutsson
- F. M. Kirby Research Center for Functional Brain Imaging, Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
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Hong H, Tozer DJ, Markus HS. Relationship of Perivascular Space Markers With Incident Dementia in Cerebral Small Vessel Disease. Stroke 2024; 55:1032-1040. [PMID: 38465597 PMCID: PMC10962441 DOI: 10.1161/strokeaha.123.045857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Recent studies, using diffusion tensor image analysis along the perivascular space (DTI-ALPS), suggest impaired perivascular space (PVS) function in cerebral small vessel disease, but they were cross-sectional, making inferences on causality difficult. We determined associations between impaired PVS, measured using DTI-ALPS and PVS volume, and cognition and incident dementia. METHODS In patients with lacunar stroke and confluent white matter hyperintensities, without dementia at baseline, recruited prospectively in a single center, magnetic resonance imaging was performed annually for 3 years, and cognitive assessments, including global, memory, executive function, and processing speed, were performed annually for 5 years. We determined associations between DTI-ALPS and PVS volume with cerebral small vessel disease imaging markers (white matter hyperintensity volume, lacunes, and microbleeds) at baseline and with changes in imaging markers. We determined whether DTI-ALPS and PVS volume at baseline and change over 3 years predicted incident dementia. Analyses were controlled for conventional diffusion tensor image metrics using 2 markers (median mean diffusivity [MD] and peak width of skeletonized MD) and adjusted for age, sex, and vascular risk factors. RESULTS A total of 120 patients, mean age 70.0 years and 65.0% male, were included. DTI-ALPS declined over 3 years, while no change in PVS volume was found. Neither DTI-ALPS nor PVS volume was associated with cerebral small vessel disease imaging marker progression. Baseline DTI-ALPS was associated with changes in global cognition (β=0.142, P=0.032), executive function (β=0.287, P=0.027), and long-term memory (β=0.228, P=0.027). Higher DTI-ALPS at baseline predicted a lower risk of dementia (hazard ratio, 0.328 [0.183-0.588]; P<0.001), and this remained significant after including median MD as a covariate (hazard ratio, 0.290 [0.139-0.602]; P<0.001). Change in DTI-ALPS predicted dementia conversion (hazard ratio, 0.630 [0.428-0.964]; P=0.048), but when peak width of skeletonized MD and median MD were entered as covariates, the association was not significant. There was no association between baseline PVS volume, or PVS change over 3 years, and conversion to dementia. CONCLUSIONS DTI-ALPS predicts future dementia risk in patients with lacunar strokes and confluent white matter hyperintensities. However, the weakening of the association between change in DTI-ALPS and incident dementia after controlling for peak width of skeletonized MD and median MD suggests part of the signal may represent conventional diffusion tensor image metrics. PVS volume is not a predictor of future dementia risk.
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Affiliation(s)
- Hui Hong
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
- Department of Radiology, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, China (H.H.)
| | - Daniel J. Tozer
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
| | - Hugh S. Markus
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.H., D.J.T., H.S.M.)
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He P, Gao Y, Shi L, Li Y, Qiu Y, Feng S, Tie Z, Gong L, Ma G, Zhang Y, Nie K, Wang L. The association of CSF biomarkers and cognitive decline with choroid plexus volume in early Parkinson's disease. Parkinsonism Relat Disord 2024; 120:105987. [PMID: 38183890 DOI: 10.1016/j.parkreldis.2023.105987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
OBJECTIVE This study aims to determine the link between choroid plexus (CP) volume and cognitive decline in patients with early-stage Parkinson's disease (PD) and to test whether pathological proteins in the cerebrospinal fluid (CSF) are involved in the modulation of any detrimental effects from CP volume. METHODS Data on 95 early-stage PD patients with 5 years of follow-up were collected from the Parkinson's Progression Marker Initiative cohort. The patients were separated into three groups based on tertiles of baseline CP volume. We then used a linear mixed model for longitudinal analysis and conducted path analysis to investigate mediating effects. RESULTS At baseline, the patients in both the upper and middle tertile group were older and had lower concentrations of CSF Aβ1-42 than those in the lowest tertile group. Longitudinal analysis showed that the upper tertile group suffered from a more rapid cognitive decline in the Symbol Digit Modalities test, Hopkins Verbal Learning Test (HVLT)-retention, and HVLT delayed recalled score. Furthermore, path analysis showed that the pathological effects of CP volume on the 5-year decline in memory might be partly mediated by the CSF Aβ1-42/αsyn ratio. CONCLUSION CP enlargement could be an independent risk factor for decreased cognition in patients with early-stage PD, and this risk may be mediated by CSF pathological proteins.
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Affiliation(s)
- Peikun He
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China; Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yuyuan Gao
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China; BrainNow Research Institute, Shenzhen, Guangdong Province, China
| | - Yanyi Li
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yihui Qiu
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Shujun Feng
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zihui Tie
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China; Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Liangxu Gong
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China; Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Guixian Ma
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Kun Nie
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China.
| | - Lijuan Wang
- School of Medicine, South China University of Technology, Guangzhou, 510006, Guangdong Province, China; Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China; Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China.
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Alghanimy A, Work LM, Holmes WM. The glymphatic system and multiple sclerosis: An evolving connection. Mult Scler Relat Disord 2024; 83:105456. [PMID: 38266608 DOI: 10.1016/j.msard.2024.105456] [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: 01/14/2024] [Accepted: 01/18/2024] [Indexed: 01/26/2024]
Abstract
Multiple sclerosis (MS) is a complex autoimmune disorder that affects the central nervous system, resulting in demyelination and an array of neurological manifestations. Recently, there has been significant scientific interest in the glymphatic system, which operates as a waste-clearance system for the brain. This article reviews the existing literature, and explores potential links between the glymphatic system and MS, shedding light on its evolving significance in the context of MS pathogenesis. The authors consider the pathophysiological implications of glymphatic dysfunction in MS, the impact of disrupted sleep on glymphatic function, and the bidirectional relationship between MS and sleep disturbances. By offering an understanding of the intricate interplay between the glymphatic system and MS, this review provides valuable insights which may lead to improved diagnostic techniques and more effective therapeutic interventions.
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Affiliation(s)
- Alaa Alghanimy
- School of Psychology and Neuroscience, College of Medicine, Veterinary and Life Science, University of Glasgow, Glasgow G61 1QH, United Kingdom; Radiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
| | - Lorraine M Work
- School of Cardiovascular and Metabolic Health, College of Medicine, Veterinary and Life Science, University of Glasgow, Glasgow G12 8TA, United Kingdom
| | - William M Holmes
- School of Psychology and Neuroscience, College of Medicine, Veterinary and Life Science, University of Glasgow, Glasgow G61 1QH, United Kingdom
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Yin Y, Peng Y, Nie L, Li X, Xiao Y, Jiang H, Gao L, Liu H. Impaired glymphatic system revealed by DTI-ALPS in cerebral palsy due to periventricular leukomalacia: relation with brain lesion burden and hand dysfunction. Neuroradiology 2024; 66:261-269. [PMID: 38129651 PMCID: PMC10807017 DOI: 10.1007/s00234-023-03269-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023]
Abstract
PURPOSE Preterm children with cerebral palsy (CP) often have varying hand dysfunction, while the specific brain injury with periventricular leukomalacia (PVL) cannot quite explain its mechanism. We aimed to investigate glymphatic activity using diffusion tensor image analysis along the perivascular space (DTI-ALPS) method and evaluate its association with brain lesion burden and hand dysfunction in children with CP secondary to PVL. METHODS We retrospectively enrolled 18 children with bilateral spastic CP due to PVL and 29 age- and sex-matched typically developing controls. The Manual Ability Classification System (MACS) was used to assess severity of hand dysfunction in CP. A mediation model was performed to explore the relationship among the DTI-ALPS index, brain lesion burden, and the MACS level in children with CP. RESULTS There were significant differences in the DTI-ALPS index between children with CP and their typically developing peers. The DTI-ALPS index of the children with CP was lower than that of the controls (1.448 vs. 1.625, P = 0.003). The mediation analysis showed that the DTI-ALPS index fully mediated the relationship between brain lesion burden and the MACS level (c' = 0.061, P = 0.665), explaining 80% of the effect. CONCLUSION This study provides new insights into the neural basis of hand dysfunction in children with CP, demonstrating an important role of glymphatic impairment in such patients. These results suggest that PVL might affect hand function in children with CP by disrupting glymphatic drainage.
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Affiliation(s)
- Yu Yin
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan Province, China
| | - Ying Peng
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Xianjun Li
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yaqiong Xiao
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Haoxiang Jiang
- Department of Radiology, Wuxi Children's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan City, Hubei Province, China.
| | - Heng Liu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Zunyi, China.
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