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Association of Low Plasma Aβ42/Aβ40 Ratios With Increased Imminent Risk for Mild Cognitive Impairment and Alzheimer Disease
Abstract
BACKGROUND: To develop preventive therapy for Alzheimer disease (AD), it is essential to develop AD-related biomarkers that identify at-risk individuals in the same way that cholesterol levels identify persons at risk for heart disease. OBJECTIVE: To determine whether plasma levels of amyloid beta protein (Abeta40 and Abeta42) are useful for identifying cognitively normal elderly white subjects at increased risk for mild cognitive impairment (MCI) and AD. DESIGN: Using well-established sandwich enzyme-linked immunosorbent assays, plasma Abeta40 and Abeta42 levels were analyzed at baseline in a prospective, elderly white cohort followed up for 2 to 12 (median, 3.7) years to detect incident cases of MCI or AD. SETTING: Cognitively normal, community-based white volunteers recruited from primary care settings into the Mayo Rochester Alzheimer Disease Patient Registry. Patients We followed up 563 cognitively normal white volunteers (median age, 78 years; 62% female) who had at least 1 follow-up visit after measurement of baseline plasma Abeta levels. MAIN OUTCOME MEASURES: The primary outcome was time to development of MCI or AD. The secondary outcome was the annualized rate of cognitive change in patients for whom we had 2 Mattis Dementia Rating Scale evaluations 3 to 7 years apart. RESULTS: During follow-up, 53 subjects developed MCI or AD. Subjects with plasma Abeta42/Abeta40 ratios in the lower quartiles showed significantly greater risk of MCI or AD (P = .04, adjusted for age and apolipoprotein E genotype). Comparison of subjects with plasma Abeta42/Abeta40 ratios in the lowest vs the highest quartile gave a relative risk of 3.1 (95% confidence interval, 1.1-8.3). After adjusting for age and apolipoprotein E genotype, regression analysis using annualized changes in the Dementia Rating Scale scores as an outcome variable showed that participants with lower Abeta42/Abeta40 ratios had greater cognitive decline (P = .02). CONCLUSION: The plasma Abeta42/Abeta40 ratio may be a useful premorbid biomarker for identifying cognitively normal elderly white subjects who are at increased risk for developing MCI or AD.
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McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
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
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Self-citationMild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Self-citationThe Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia
Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994) · Neurology · doi:10.1212/wnl.44.12.2308 · Cited by 7,568
Dauer, W., & Przedborski, S. (2003) · Neuron · doi:10.1016/s0896-6273(03)00568-3 · Cited by 5,469
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781
Self-citationPsychological Assessment Resources
Abidin, R. R. (1995) · Medical Entomology and Zoology · Cited by 3,140
Unified Parkinson's Disease Rating Scale
(2012) · SpringerReference · doi:10.1007/springerreference_184495 · Cited by 3,066
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Preclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.002 · Cited by 1,925
Cerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863
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
Self-citationMultimodal techniques for diagnosis and prognosis of Alzheimer's disease
Perrin, R. J., Fagan, A. M., & Holtzman, D. M. (2009) · Nature · doi:10.1038/nature08538 · Cited by 702
Plasma β-amyloid in Alzheimer's disease and vascular disease
Janelidze, S., Stomrud, E., Palmqvist, S., Zetterberg, H., van Westen, D., Jeromin, A., Song, L., Hanlon, D., Tan Hehir, C. A., Baker, D., et al. (2016) · Scientific Reports · doi:10.1038/srep26801 · Cited by 626
Metadata
- Authors
- Graff-Radford, N. R., Crook, J. E., Lucas, J., Boeve, B. F., Knopman, D. S., Ivnik, R. J., Smith, G. E., Younkin, L. H., Petersen, R. C., & Younkin, S. G.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2007-03-01
- Volume
- 64
- Issue
- 3
- Pages
- 354
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W1966613471
- Cited by
- 441
- References
- 50
- FWCI
- 22.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Graff-Radford, N. R., Crook, J. E., Lucas, J., Boeve, B. F., Knopman, D. S., Ivnik, R. J., Smith, G. E., Younkin, L. H., Petersen, R. C., & Younkin, S. G. (2007). Association of Low Plasma Aβ42/Aβ40 Ratios With Increased Imminent Risk for Mild Cognitive Impairment and Alzheimer Disease. Archives of Neurology. https://doi.org/10.1001/archneur.64.3.354
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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