The DOI matches its Crossref record; 167 of the 167 references it cites were found in a registry or an index.
Interactions of pathological proteins in neurodegenerative diseases
Open accessAbstract
Neurodegenerative diseases such as Alzheimer's disease (AD), frontotemporal lobar degeneration (FTD), Lewy body disease (LBD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) have in common that protein aggregates represent pathological hallmark lesions. Amyloid β-protein, τ-protein, α-synuclein, and TDP-43 are the most frequently aggregated proteins in these disorders. Although they are assumed to form disease-characteristic aggregates, such as amyloid plaques and neurofibrillary tangles in AD or Lewy bodies in LBD/PD, they are not restricted to these clinical presentations. They also occur in non-diseased individuals and can co-exist in the same brain without or with a clinical picture of a distinct dementing or movement disorder. In this review, we discuss the co-existence of these pathologies and potential additive effects in the human brain as well as related functional findings on cross-seeding and molecular interactions between these aggregates/proteins. We conclude that there is evidence for interactions at the molecular level as well as for additive effects on brain damage by multiple pathologies occurring in different functionally important neurons. Based upon this information, we hypothesize a cascade of events that may explain general mechanisms in the development of neurodegenerative disorders: (1) distinct lesions are a prerequisite for the development of a distinct disease (e.g., primary age-related tauopathy for AD), (2) disease-specific pathogenic events further trigger the development of a specific disease (e.g., Aβ aggregation in AD that exaggerate further Aβ and AD-related τ pathology), (3) the symptomatic disease manifests, and (4) neurodegenerative co-pathologies may be either purely coincidental or (more likely) have influence on the disease development and/or its clinical presentation.
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1 retracted
Tsigelny, I. F., Crews, L., Desplats, P., Shaked, G. M., Sharikov, Y., Mizuno, H., Spencer, B., Rockenstein, E., Trejo, M., Platoshyn, O., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003135 · Cited by 281
RetractedNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 5×
“The prevalence for NFTs is provided separately for each Braak-NFT stage (I–VI) [12] (a) and that for Aβ plaques separately for each phase of Aβ-plaque deposition as determined in medial temporal lobe sections (1–4) [144] corresponding with the plaques extension all over the entire brain [143].”
BackgroundMethodInfluentialThe Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Mutation in the α-Synuclein Gene Identified in Families with Parkinson's Disease
Polymeropoulos, M. H., Lavedan, C., Leroy, E., Ide, S. E., Dehejia, A., Dutra, A., Pike, B., Root, H., Rubenstein, J., Boyer, R., et al. (1997) · Science · doi:10.1126/science.276.5321.2045 · Cited by 8,240
Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis
Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., Bruce, J., Schuck, T., Grossman, M., Clark, C. M., et al. (2006) · Science · doi:10.1126/science.1134108 · Cited by 6,576
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
DeJesus-Hernandez, M., Mackenzie, I. R., Boeve, B. F., Boxer, A. L., Baker, M., Rutherford, N. J., Nicholson, A. M., Finch, N. A., Flynn, H., Adamson, J., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.011 · Cited by 4,936 · cited 1×
“C9ORF72 mutations go in most instances along with TDP-43 pathology either with a FTLD-TDP or an ALS-related pattern [31, 116].”
Background
Cited by
Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., et al. (2019) · Brain · doi:10.1093/brain/awz099 · Cited by 1,547
Self-citationProtein misfolding, aggregation, and conformational strains in neurodegenerative diseases
Soto, C., & Pritzkow, S. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0235-9 · Cited by 1,180
The Amyloid-β Oligomer Hypothesis: Beginning of the Third Decade
Cline, E. N., Bicca, M. A., Viola, K. L., & Klein, W. L. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179941 · Cited by 870
Molecular Mechanisms of TDP-43 Misfolding and Pathology in Amyotrophic Lateral Sclerosis
Prasad, A., Bharathi, V., Sivalingam, V., Girdhar, A., & Patel, B. K. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00025 · Cited by 774
Robinson, J. L., Lee, E. B., Xie, S. X., Rennert, L., Suh, E., Bredenberg, C., Caswell, C., Van Deerlin, V. M., Yan, N., Yousef, A., et al. (2018) · Brain · doi:10.1093/brain/awy146 · Cited by 729
Metadata
- Authors
- Spires-Jones, T. L., Attems, J., & Thal, D. R.
- Venue
- Acta Neuropathologica
- Published
- 2017-04-11
- Volume
- 134
- Issue
- 2
- Pages
- 187-205
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- OpenAlex
- W2607259606
- Cited by
- 429
- References
- 167
- FWCI
- 24.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Spires-Jones, T. L., Attems, J., & Thal, D. R. (2017). Interactions of pathological proteins in neurodegenerative diseases. Acta Neuropathologica. https://doi.org/10.1007/s00401-017-1709-7
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