1
|
Darabi S, Gorgich EAC, Moradi F, Rustamzadeh A. Lipidopathy disrupts peripheral and central amyloid clearance in Alzheimer's disease: Where are our knowledge. IBRO Neurosci Rep 2025; 18:191-199. [PMID: 39906286 PMCID: PMC11791331 DOI: 10.1016/j.ibneur.2025.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 12/09/2024] [Accepted: 01/04/2025] [Indexed: 02/06/2025] Open
Abstract
Amyloid-beta (Aβ) production is a normal physiological process, essential for neuronal function. However, an imbalance in Aβ production and clearance is the central pathological feature of Alzheimer's disease (AD), leading to the accumulation of Aβ plaques in the brain. Low-density lipoprotein receptor-related protein 1 (LRP1) plays a critical role in both the central clearance of Aβ from the brain and its peripheral transport to visceral organs. Disruptions in these processes contribute to the accumulation of Aβ in the central nervous system (CNS) and the progression of AD. Recent research emphasizes the need for a broader focus on the systemic effects of organs outside the brain, particularly in the context of AD prevention and treatment. The contribution of peripheral systems, such as the liver, in Aβ clearance, is vital, given that Aβ levels in the plasma correlate closely with those in the brain. Consequently, targeting systemic processes, rather than focusing solely on the CNS, may offer promising therapeutic approaches. Furthermore, high-density lipoprotein (HDL) facilitates the formation of lipoprotein-amyloid complexes, which are important for Aβ transport and clearance, using proteins such as apolipoproteins E and J (ApoE and ApoJ) to form complexes that help manage Aβ accumulation. On the other hand, low-density lipoprotein (LDL) facilitates Aβ efflux from the brain by binding to LRP1, promoting its clearance. Given the relationship between lipid profiles and Aβ levels, along with lipid-modifying drugs, may be effective in managing Aβ accumulation and mitigating AD progression.
Collapse
Affiliation(s)
- Shahram Darabi
- Cellular and Molecular Research Center, Research Institute for Prevention of Non-communicable Diseases, Department of Anatomical Sciences, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran
| | | | - Fatemeh Moradi
- Department of Anatomy, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Auob Rustamzadeh
- Cellular and Molecular Research Center, Research Institute for Prevention of Non-communicable Diseases, Department of Anatomical Sciences, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran
| |
Collapse
|
2
|
Wen Q, Muskat J, Babbs CF, Wright AM, Zhao Y, Zhou X, Zhu C, Tong Y, Wu YC, Risacher SL, Saykin AJ. Dynamic diffusion-weighted imaging of intracranial cardiac impulse propagation along arteries to arterioles in the aging brain. J Cereb Blood Flow Metab 2025:271678X251320902. [PMID: 39947901 PMCID: PMC11826823 DOI: 10.1177/0271678x251320902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 01/06/2025] [Accepted: 01/27/2025] [Indexed: 02/16/2025]
Abstract
Intracranial cardiac impulse propagation along penetrating arterioles is vital for both nutrient supply via blood circulation and waste clearance via CSF circulation. However, current neuroimaging methods are limited to simultaneously detecting impulse propagation at pial arteries, arterioles, and between them. We hypothesized that this propagation could be detected via paravascular CSF dynamics and that it may change with aging. Using dynamic diffusion-weighted imaging (dynDWI), we detected oscillatory CSF motion synchronized with the finger photoplethysmography in the subarachnoid space (SAS) and cerebral cortex, with a delay revealing an impulse propagation pathway from the SAS to the cortex, averaging 84 milliseconds. Data from 70 subjects aged 18 to 85 years showed a bimodal age-related change in the SAS-Cortex travel time: it initially increases with age, peaks around 45 years, then decreases. Computational biomechanical modeling of the cardiovascular system was performed and replicated this 84-millisecond delay. Sensitivity analysis suggests that age-related variations in travel time are primarily driven by changes in arteriolar compliance. These findings support the use of dynDWI for measuring intracranial impulse propagation and highlight its potential in assessing related vascular and waste clearance functions.
Collapse
Affiliation(s)
- Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, USA
| | - Joseph Muskat
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Charles F Babbs
- Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, USA
| | - Adam M Wright
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, USA
| | - Yi Zhao
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xiaopeng Zhou
- College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Yunjie Tong
- Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, USA
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Weldon School of Biomedical Engineering Department, Purdue University, West Lafayette, IN, USA
- Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Shannon L Risacher
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| |
Collapse
|
3
|
Liu P, Owashi K, Monnier H, Metanbou S, Capel C, Balédent O. Transmantle pressure under the influence of free breathing: non-invasive quantification of the aqueduct pressure gradient in healthy adults. Fluids Barriers CNS 2025; 22:1. [PMID: 39754238 PMCID: PMC11697896 DOI: 10.1186/s12987-024-00612-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 12/18/2024] [Indexed: 01/06/2025] Open
Abstract
BACKGROUND The pressure gradient between the ventricles and the subarachnoid space (transmantle pressure) is crucial for understanding CSF circulation and the pathogenesis of certain neurodegenerative diseases. This pressure can be approximated by the pressure difference across the aqueduct (ΔP). Currently, no dedicated platform exists for quantifying ΔP, and no research has been conducted on the impact of breathing on ΔP. This study aims to develop a post-processing platform that balances accuracy and ease of use to quantify aqueduct resistance and, in combination with real-time phase contrast MRI, quantify ΔP driven by free breathing and cardiac activities. METHODS Thirty-four healthy participants underwent 3D balanced fast field echo (BFFE) sequence and real-time phase contrast (RT-PC) imaging on a 3T scanner. We used the developed post-processing platform to analyse the BFFE images to quantify the aqueduct morphological parameters such as resistance. RT-PC data were then processed to quantify peak flow rates driven by cardiac and free breathing activity (Qc and Qb) in both directions. By multiplying these Q by resistance, ΔP driven by cardiac and breathing activity was obtained (ΔPc and ΔPb). The relationships between aqueduct resistance and flow rates and ΔP driven by cardiac and breathing activity were analysed, including a sex difference analysis. RESULTS The aqueduct resistance was 78 ± 51 mPa·s/mm³. The peak-to-peak cardiac-driven ΔP (Sum of ΔPc+ and ΔPc-) was 24.2 ± 11.4 Pa, i.e., 0.18 ± 0.09 mmHg. The peak-to-peak breath-driven ΔP was 19 ± 14.4 Pa, i.e., 0.14 ± 0.11 mmHg. Males had a longer aqueduct than females (17.9 ± 3.1 mm vs. 15 ± 2.5 mm, p < 0.01) and a larger average diameter (2.0 ± 0.2 mm vs. 1.8 ± 0.3 mm, p = 0.024), but there was no gender difference in resistance values (p = 0.25). Aqueduct resistance was negatively correlated with stroke volume and the peak cardiac-driven flow (p < 0.05); however, there was no correlation between aqueduct resistance and breath-driven peak flow rate. CONCLUSIONS The highly automated post-processing software developed in this study effectively balances ease of use and accuracy for quantifying aqueduct resistance, providing technical support for future research on cerebral circulation physiology and the exploration of new clinical diagnostic methods. By integrating real-time phase contrast MRI, this study is the first to quantify the aqueduct pressure difference under the influence of free breathing. This provides an important physiological reference for further studies on the impact of breathing on transmantle pressure and cerebral circulation mechanisms.
Collapse
Affiliation(s)
- Pan Liu
- Medical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France.
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France.
| | - Kimi Owashi
- Medical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France
| | - Heimiri Monnier
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France
| | - Serge Metanbou
- Radiology Department, CHU Amiens-Picardie University Hospital, Amiens, France
| | - Cyrille Capel
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France
- Neurosurgery Department, CHU Amiens-Picardie University Hospital, Amiens, France
| | - Olivier Balédent
- Medical Image Processing Department, CHU Amiens-Picardie University Hospital, Amiens, France
- CHIMERE UR 7516, Jules Verne University of Picardy, Amiens, France
| |
Collapse
|
4
|
Wright AM, Wu YC, Feng L, Wen Q. Diffusion magnetic resonance imaging of cerebrospinal fluid dynamics: Current techniques and future advancements. NMR IN BIOMEDICINE 2024; 37:e5162. [PMID: 38715420 PMCID: PMC11303114 DOI: 10.1002/nbm.5162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 02/20/2024] [Accepted: 03/30/2024] [Indexed: 05/22/2024]
Abstract
Cerebrospinal fluid (CSF) plays a critical role in metabolic waste clearance from the brain, requiring its circulation throughout various brain pathways, including the ventricular system, subarachnoid spaces, para-arterial spaces, interstitial spaces, and para-venous spaces. The complexity of CSF circulation has posed a challenge in obtaining noninvasive measurements of CSF dynamics. The assessment of CSF dynamics throughout its various circulatory pathways is possible using diffusion magnetic resonance imaging (MRI) with optimized sensitivity to incoherent water movement across the brain. This review presents an overview of both established and emerging diffusion MRI techniques designed to measure CSF dynamics and their potential clinical applications. The discussion offers insights into the optimization of diffusion MRI acquisition parameters to enhance the sensitivity and specificity of diffusion metrics on underlying CSF dynamics. Lastly, we emphasize the importance of cautious interpretations of diffusion-based imaging, especially when differentiating between tissue- and fluid-related changes or elucidating structural versus functional alterations.
Collapse
Affiliation(s)
- Adam M. Wright
- Department of Radiology and Imaging Sciences, Indiana
University School of Medicine, Indianapolis, Indiana, USA
- Weldon School of Biomedical Engineering Department, Purdue
University, West Lafayette, Indiana, USA
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana
University School of Medicine, Indianapolis, Indiana, USA
- Weldon School of Biomedical Engineering Department, Purdue
University, West Lafayette, Indiana, USA
- Stark Neurosciences Research Institute, Indiana University
School of Medicine, Indianapolis, Indiana, USA
| | - Li Feng
- Center for Advanced Imaging Innovation and Research
(CAI2R), New York University Grossman School of Medicine, New York, New York,
USA
| | - Qiuting Wen
- Department of Radiology and Imaging Sciences, Indiana
University School of Medicine, Indianapolis, Indiana, USA
- Weldon School of Biomedical Engineering Department, Purdue
University, West Lafayette, Indiana, USA
| |
Collapse
|
5
|
Fu K, Zhu B, Sun Y, Zhou Y, Pang H, Ren X, Guo Y, Shi X, Han J, Yang L, Zhou B. Bis(2-ethylhexyl)-tetrabromophthalate Poses a Higher Exposure Risk and Induces Gender-Specific Metabolic Disruptions in Zebrafish Liver. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4937-4947. [PMID: 38446036 DOI: 10.1021/acs.est.4c00234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Bis(2-ethylhexyl)-tetrabromophthalate (TBPH), a typical novel brominated flame retardant, has been ubiquitously identified in various environmental and biotic media. Consequently, there is an urgent need for precise risk assessment based on a comprehensive understanding of internal exposure and the corresponding toxic effects on specific tissues. In this study, we first investigated the toxicokinetic characteristics of TBPH in different tissues using the classical pseudo-first-order toxicokinetic model. We found that TBPH was prone to accumulate in the liver rather than in the gonad, brain, and muscle of both female and male zebrafish, highlighting a higher internal exposure risk for the liver. Furthermore, long-term exposure to TBPH at environmentally relevant concentrations led to increased visceral fat accumulation, signaling potential abnormal liver function. Hepatic transcriptome analysis predominantly implicated glycolipid metabolism pathways. However, alterations in the profile of associated genes and biochemical indicators revealed gender-specific responses following TBPH exposure. Besides, histopathological observations as well as the inflammatory response in the liver confirmed the development of nonalcoholic fatty liver disease, particularly in male zebrafish. Altogether, our findings highlight a higher internal exposure risk for the liver, enhancing our understanding of the gender-specific metabolic-disrupting potential associated with TBPH exposure.
Collapse
Affiliation(s)
- Kaiyu Fu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Biran Zhu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- School of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan 430065, China
| | - Yumiao Sun
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yuxi Zhou
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hao Pang
- School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430074, China
| | - Xinxin Ren
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yongyong Guo
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Xiongjie Shi
- College of Life Sciences, the Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Jian Han
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Lihua Yang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Bingsheng Zhou
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| |
Collapse
|