The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Combined neuropathological pathways account for age‐related risk of dementia
Open accessAbstract
Objective: Our objectives were to characterize the inter‐relation of known dementia‐related neuropathologies in one comprehensive model and quantify the extent to which accumulation of neuropathologies accounts for the association between age and dementia. Methods: We used data from 1,362 autopsied participants of three community‐based clinicopathological cohorts: the Religious Orders Study, the Rush Memory and Aging Project, and the Minority Aging Research Study. We estimated a series of structural equation models summarizing a priori hypothesized neuropathological pathways between age and dementia risk individually and collectively. Results: At time of death (mean age, 89 years), 44% of our sample had a clinical dementia diagnosis. When considered individually, our vascular, amyloid/tau, neocortical Lewy body, and TAR DNA‐binding protein 43 (TDP‐43)/hippocampal sclerosis pathology pathways each accounted for a substantial proportion of the association between age and dementia. When considered collectively, the four pathways fully accounted for all variance in dementia risk previously attributable to age. Pathways involving amyloid/tau, neocortical Lewy bodies, and TDP‐43/hippocampal sclerosis were interdependent, attributable to the importance of amyloid beta plaques in all three. The importance of the pathways varied, with the vascular pathway accounting for 32% of the association between age and dementia, wheraes the remaining three inter‐related degenerative pathways together accounted for 68% (amyloid/tau, 24%; the Lewy body, 1%; and TDP‐43/hippocampal sclerosis, 43%). Interpretation: Age‐related increases in dementia risk can be attributed to accumulation of multiple pathologies, each of which contributes to dementia risk. Multipronged approaches may be necessary if we are to develop effective therapies. Ann Neurol 2018;84:10–22
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McKeith, I. G., Galasko, D., Kosaka, K., Perry, E. K., Dickson, D. W., Hansen, L. A., Salmon, D. P., Lowe, J., Mirra, S. S., Byrne, E. J., et al. (1996) · Neurology · doi:10.1212/wnl.47.5.1113 · Cited by 3,960
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992
Self-citationBrain Infarction and the Clinical Expression of Alzheimer Disease<subtitle>The Nun Study</subtitle>
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590
(2001) · The Lancet · doi:10.1016/s0140-6736(00)03589-3 · Cited by 1,338
Impact of multiple pathologies on the threshold for clinically overt dementia
Kapasi, A., DeCarli, C., & Schneider, J. A. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1717-7 · Cited by 739
Self-citationCharidimou, A., Gang, Q., & Werring, D. J. (2012) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-301308 · Cited by 611
Pathological correlates of dementia in a longitudinal, population‐based sample of aging
Sonnen, J. A., Larson, E. B., Crane, P. K., Haneuse, S., Li, G., Schellenberg, G. D., Craft, S., Leverenz, J. B., & Montine, T. J. (2007) · Annals of Neurology · doi:10.1002/ana.21208 · Cited by 432
Much of late life cognitive decline is not due to common neurodegenerative pathologies
Boyle, P. A., Wilson, R. S., Yu, L., Barr, A. M., Honer, W. G., Schneider, J. A., & Bennett, D. A. (2013) · Annals of Neurology · doi:10.1002/ana.23964 · Cited by 323
Self-citationHippocampal sclerosis and TDP ‐43 pathology in aging and Alzheimer disease
Nag, S., Yu, L., Capuano, A. W., Wilson, R. S., Leurgans, S. E., Bennett, D. A., & Schneider, J. A. (2015) · Annals of Neurology · doi:10.1002/ana.24388 · Cited by 305
Self-citationMultiple pathologies are common and related to dementia in the oldest-old: The 90+ Study
Kawas, C. H., Kim, R. C., Sonnen, J. A., Bullain, S. S., Trieu, T., & Corrada, M. M. (2015) · Neurology · doi:10.1212/wnl.0000000000001831 · Cited by 303
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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
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Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159
Vascular Cognitive Impairment and Dementia
Iadecola, C., Duering, M., Hachinski, V., Joutel, A., Pendlebury, S. T., Schneider, J. A., & Dichgans, M. (2019) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.04.034 · Cited by 801
Self-citationEpidemiology of Vascular Dementia: Nosology in a Time of Epiomics
Wolters, F. J., & Ikram, M. A. (2019) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.119.311908 · Cited by 403
Metadata
- Authors
- Power, M. C., Mormino, E., Soldan, A., James, B. D., Yu, L., Armstrong, N. M., Bangen, K. J., Delano‐Wood, L., Lamar, M., Lim, Y. Y., Nudelman, K., Zahodne, L., Gross, A. L., Mungas, D., Widaman, K. F., & Schneider, J.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2018-06-26
- Volume
- 84
- Issue
- 1
- Pages
- 10-22
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2810507529
- Cited by
- 217
- References
- 15
- FWCI
- 16.65
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Power, M. C., Mormino, E., Soldan, A., James, B. D., Yu, L., Armstrong, N. M., Bangen, K. J., Delano‐Wood, L., Lamar, M., Lim, Y. Y., Nudelman, K., Zahodne, L., Gross, A. L., Mungas, D., Widaman, K. F., & Schneider, J. (2018). Combined neuropathological pathways account for age‐related risk of dementia. Annals of Neurology. https://doi.org/10.1002/ana.25246
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