Extracellular vesicles as an emerging tool for the early detection of Alzheimer’s disease
Abstract
Alzheimer's disease (AD) is characterized by a series of interacting pathophysiological cascades, including the aggregation of β-amyloid plaques and the formation of neurofibrillary tangles derived from hyperphosphorylated tau proteins. AD is the cause of approximately 70 % of dementia, an irreversible and untreatable syndrome at its late stage. Hence, more efforts should be devoted to identifying at-risk or preclinical AD populations for early intervention and the improved design of drug trials. The exosome, a nanoscale subtype of extracellular vesicle that serves as a cell-to-cell communication messenger, is an emerging liquid biopsy tool for various diseases including AD. Recently, it has been discovered that brain-derived exosomes can flow through the blood-brain barrier to the peripheral blood, containing important protein and nucleic acid biomarkers that are associated with the pathogenesis and progression of AD. Other reports showed a strong involvement of exosomes in synaptic function, insulin resistance, and neuroinflammation, among others. Here, we summarize those studies and assess the value of exosomes as an emerging tool for the early detection of AD in conjunction with the current clinical diagnosis paradigm.
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Because of incomplete understanding of the origins of CNS disorders, there is currently no foolproof method for early detection of such disorders.
“For instance, because of the incomplete understanding of the origins of CNS disorders, there is currently no foolproof method for the early detection of such disorders [311, 312].”
From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [312]
Cites
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease
Salloway, S., Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304839 · Cited by 1,960 · see citing works
Neuroligins and neurexins link synaptic function to cognitive disease
Südhof, T. C. (2008) · Nature · doi:10.1038/nature07456 · Cited by 1,849 · see citing works
Saman, S., Kim, W., Raya, M., Visnick, Y., Miro, S., Saman, S., Jackson, B., McKee, A. C., Alvarez, V. E., Lee, N. C. Y., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.277061 · Cited by 985 · see citing works
Fiandaca, M. S., Kapogiannis, D., Mapstone, M., Boxer, A., Eitan, E., Schwartz, J. B., Abner, E. L., Petersen, R. C., Federoff, H. J., Miller, B. L., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.008 · Cited by 959 · see citing works
The release and trans-synaptic transmission of Tau via exosomes
Wang, Y., Balaji, V., Kaniyappan, S., Krüger, L., Irsen, S., Tepper, K., Chandupatla, R., Maetzler, W., Schneider, A., Mandelkow, E., et al. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0143-y · Cited by 674 · see citing works
Alzheimer’s disease pathology propagation by exosomes containing toxic amyloid-beta oligomers
Sardar Sinha, M., Ansell-Schultz, A., Civitelli, L., Hildesjö, C., Larsson, M., Lannfelt, L., Ingelsson, M., & Hallbeck, M. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1868-1 · Cited by 527 · see citing works
Curtis, C., Gamez, J. E., Singh, U., Sadowsky, C. H., Villena, T., Sabbagh, M. N., Beach, T. G., Duara, R., Fleisher, A. S., Frey, K. A., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4144 · Cited by 332 · see citing works
Liu, C.-C., Tsai, C.-W., Deak, F., Rogers, J., Penuliar, M., Sung, Y. M., Maher, J. N., Fu, Y., Li, X., Xu, H., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.048 · Cited by 222 · see citing works
Goetzl, E. J., Abner, E. L., Jicha, G. A., Kapogiannis, D., & Schwartz, J. B. (2018) · The FASEB Journal · doi:10.1096/fj.201700731r · Cited by 219 · see citing works
Shi, M., Kovac, A., Korff, A., Cook, T. J., Ginghina, C., Bullock, K. M., Yang, L., Stewart, T., Zheng, D., Aro, P., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.04.003 · Cited by 206 · see citing works
Neuronal exosomes reveal Alzheimer's disease biomarkers in Down syndrome
Hamlett, E. D., Goetzl, E. J., Ledreux, A., Vasilevko, V., Boger, H. A., LaRosa, A., Clark, D., Carroll, S. L., Carmona‐Iragui, M., Fortea, J., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.012 · Cited by 129 · see citing works
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Extracellular Vesicle Proteins and MicroRNAs as Biomarkers for Traumatic Brain Injury
Guedes, V. A., Devoto, C., Leete, J., Sass, D., Acott, J. D., Mithani, S., & Gill, J. M. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00663 · Cited by 85 · see citing works
Extracellular vesicles (exosomes and ectosomes) play key roles in the pathology of brain diseases
Meldolesi, J. (2021) · Molecular Biomedicine · doi:10.1186/s43556-021-00040-5 · Cited by 47 · see citing works
Unveiling the Complex Role of Exosomes in Alzheimer’s Disease
Sun, M., & Chen, Z. (2024) · Journal of Inflammation Research · doi:10.2147/jir.s466821 · Cited by 39 · see citing works
Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions
Choi, H. K., Chen, M., Goldston, L. L., & Lee, K.-B. (2024) · Nano Convergence · doi:10.1186/s40580-024-00426-5 · Cited by 26 · see citing works
Li, X., Chen, J., Yang, Y., Cai, H., Ao, Z., Xing, Y., Li, K., Yang, K., Guan, W., Friend, J., et al. (2025) · Microsystems & Nanoengineering · doi:10.1038/s41378-025-00916-4 · Cited by 17 · see citing works
- Authors
- Li, T.-R., Wang, X.-N., Sheng, C., Li, Y.-X., Li, F. Z.-T., Sun, Y., & Han, Y.
- Affiliations
- Capital Medical University (CN)
- Corresponding author
- Sun, Yu
- Han, Ying
- Venue
- Mechanisms of Ageing and Development
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 184
- Pages
- 111175
- ISSN
- 0047-6374 (ISSN-L)
- OpenAlex
- W2982982531
- Cited by
- 60
- References
- 12
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 13 · 2023: 6 · 2022: 14 · 2021: 10 · 2020: 9
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mechanisms of Ageing and Development (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Basic Research Program of China (81430037, 2016YFC1306300, 2018YFC1312001)
- National Natural Science Foundation of China (61633018 81801052)
- China Postdoctoral Science Foundation (2018M641414, Foundation2018M641414)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, extracellular vesicles, exosomes, early detection, liquid biopsy, blood biomarkers, preclinical Alzheimer's disease, blood-brain barrier, amyloid-beta, tau hyperphosphorylation, neuroinflammation, insulin resistance, synaptic function, diagnosis
- MeSH terms
- Extracellular Vesicles, Alzheimer Disease, Animals, Humans, Risk Assessment, Early Diagnosis, Exosomes
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