Basal lamina changes in neurodegenerative disorders
Open accessAbstract
Background: Neurodegenerative disorders are a group of age-associated diseases characterized by progressive degeneration of the structure and function of the CNS. Two key pathological features of these disorders are blood-brain barrier (BBB) breakdown and protein aggregation. Main body: The BBB is composed of various cell types and a non-cellular component---the basal lamina (BL). Although how different cells affect the BBB is well studied, the roles of the BL in BBB maintenance and function remain largely unknown. In addition, located in the perivascular space, the BL is also speculated to regulate protein clearance via the meningeal lymphatic/glymphatic system. Recent studies from our laboratory and others have shown that the BL actively regulates BBB integrity and meningeal lymphatic/glymphatic function in both physiological and pathological conditions, suggesting that it may play an important role in the pathogenesis and/or progression of neurodegenerative disorders. In this review, we focus on changes of the BL and its major components during aging and in neurodegenerative disorders, including Alzheimer’s disease (AD), Parkinson’s disease (PD), and amyotrophic lateral sclerosis (ALS). First, we introduce the vascular and lymphatic systems in the CNS. Next, we discuss the BL and its major components under homeostatic conditions, and summarize their changes during aging and in AD, PD, and ALS in both rodents and humans. The functional significance of these alterations and potential therapeutic targets are also reviewed. Finally, key challenges in the field and future directions are discussed. Conclusions: Understanding BL changes and the functional significance of these changes in neurodegenerative disorders will fill the gap of knowledge in the field. Our goal is to provide a clear and concise review of the complex relationship between the BL and neurodegenerative disorders to stimulate new hypotheses and further research in this field.
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ApoE4 reduction: An emerging and promising therapeutic strategy for Alzheimer's disease
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- Authors
- Nguyen, B., Bix, G., & Yao, Y.
- Affiliations
- University of Georgia (US)
- Tulane University (US)
- Corresponding author
- Yao, Yao
- Venue
- Molecular Neurodegeneration
- Published
- 2021-12-07
- Volume
- 16
- Issue
- 1
- Pages
- 81-81
- ISSN
- 1750-1326 (ISSN-L)
- PMC
- PMC8650282
- OpenAlex
- W4200551731
- Cited by
- 75
- References
- 354
- Citations by year
- 2026: 9 · 2025: 23 · 2024: 16 · 2023: 13 · 2022: 14
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Molecular Neurodegeneration (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Heart, Lung, and Blood Institute (R01HL146574)
- National Institute on Aging (R21AG064422, R21AG073862, RF1AG065345)
- American Heart Association (16SDG29320001)
- Topics
- Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- basement membrane, neurodegenerative diseases, blood-brain barrier, Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, aging, meningeal lymphatic system, glymphatic system, protein clearance, protein aggregation, perivascular spaces, therapeutic target
- MeSH terms
- Glymphatic System, Alzheimer Disease, Basement Membrane, Blood-Brain Barrier, Humans, Neurodegenerative Diseases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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