The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Plasma biomarkers for mild cognitive impairment and Alzheimer's disease
Open accessAbstract
PURPOSE OF REVIEW With the move toward development of disease modifying treatments, there is a need for more specific diagnosis of early Alzheimer's disease (AD) and mild cognitive impairment (MCI), plasma biomarkers are likely to play an important role in this. We review the current state of knowledge on plasma biomarkers for MCI and AD, including unbiased proteomics and very recent longitudinal studies. RECENT FINDINGS With the use of proteomics methodologies, some proteins have been identified as potential biomarkers in plasma and serum of AD patients, including alpha-1-antitrypsin, complement factor H, alpha-2-macroglobulin, apolipoprotein J, apolipoprotein A-I. The findings of cross-sectional studies of plasma amyloid beta (A beta) levels are conflicting, but some recent longitudinal studies have shown that low plasma A beta 1-42 or A beta 1-40 levels, or A beta 1-42/A beta 1-40 ratio may be markers of cognitive decline. Other potential biomarkers for MCI and AD reflecting a variety of pathophysiological processes have been assessed, including isoprostanes and homocysteine (oxidative stress), total cholesterol and ApoE4 allele (lipoprotein metabolism), and cytokines and acute phase proteins (inflammation). A panel of 18 signal proteins was reported as markers of MCI and AD. SUMMARY A variety of potential plasma biomarkers for AD and MCI have been identified, however the findings need replication in longitudinal studies. This area of research promises to yield interesting results in the near future.
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Cites
Inflammation and Alzheimer’s disease
Akiyama, H. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00124-x · Cited by 4,514
Association of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease
Saunders, A. M., Strittmatter, W. J., Schmechel, D., St. George-Hyslop, P. H., Pericak-Vance, M. A., Joo, S. H., Rosi, B. L., Gusella, J. F., Crapper-MacLachlan, D. R., Alberts, M. J., et al. (1993) · Neurology · doi:10.1212/wnl.43.8.1467 · Cited by 3,786
Plasma Homocysteine as a Risk Factor for Dementia and Alzheimer's Disease
Seshadri, S., Beiser, A., Selhub, J., Jacques, P. F., Rosenberg, I. H., D'Agostino, R. B., Wilson, P. W. F., & Wolf, P. A. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011613 · Cited by 3,237
Protective effect of apolipoprotein E type 2 allele for late onset Alzheimer disease
Corder, E. H., Saunders, A. M., Risch, N. J., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Rimmler, J. B., Locke, P. A., Conneally, P. M., Schmader, K. E., et al. (1994) · Nature Genetics · doi:10.1038/ng0694-180 · Cited by 1,920
Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins
Ray, S., Britschgi, M., Herbert, C., Takeda-Uchimura, Y., Boxer, A., Blennow, K., Friedman, L. F., Galasko, D. R., Jutel, M., Karydas, A., et al. (2007) · Nature Medicine · doi:10.1038/nm1653 · Cited by 1,048
Inflammatory markers and cognition in well-functioning African-American and white elders
Yaffe, K., Lindquist, K., Penninx, B. W., Simonsick, E. M., Pahor, M., Kritchevsky, S., Launer, L., Kuller, L., Rubin, S., & Harris, T. (2003) · Neurology · doi:10.1212/01.wnl.0000073620.42047.d7 · Cited by 706
Snowdon, D. A. (1996) · JAMA · doi:10.1001/jama.1996.03530310034029 · Cited by 696
Sunderland, T., Linker, G., Mirza, N., Putnam, K. T., Friedman, D. L., Kimmel, L. H., Bergeson, J., Manetti, G. J., Zimmermann, M., Tang, B., et al. (2003) · JAMA · doi:10.1001/jama.289.16.2094 · Cited by 656
Perry, G., Friedman, R., Shaw, G., & Chau, V (1987) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.84.9.3033 · Cited by 623 · cited 1×
“C3a anaphylatoxin des-Arg and C4a anaphylatoxin des-Arg are related to inflammation (Gasque et al., 2000), and ubiquitin is implicated in protein degradation in brain, as well as formation of senile plaques and neurofibrillary tangles (Perry et al., 1987).”
BackgroundPlasma and Cerebrospinal Fluid Levels of Amyloid β Proteins 1-40 and 1-42 in Alzheimer Disease
Mehta, P. D., Pirttilä, T., Mehta, S. P., Sersen, E. A., Aisen, P. S., & Wisniewski, H. M. (2000) · Archives of Neurology · doi:10.1001/archneur.57.1.100 · Cited by 582
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Pierrakos, C., & Vincent, J.-L. (2010) · Critical Care · doi:10.1186/cc8872 · Cited by 1,377
Trushina, E., Dutta, T., Persson, X.-M. T., Mielke, M. M., & Petersen, R. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063644 · Cited by 438
Mild cognitive impairment and its management in older people
Ataollahi Eshkoor, S., Mun, C. Y., Ng, C. K., & Hamid, T. A. (2015) · Clinical Interventions in Aging · doi:10.2147/cia.s73922 · Cited by 421
Parallel findings in age-related macular degeneration and Alzheimer’s disease
Ohno-Matsui, K. (2011) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2011.02.004 · Cited by 280
Dysregulation of lipids in Alzheimer’s disease and their role as potential biomarkers
Wong, M. W., Braidy, N., Poljak, A., Pickford, R., Thambisetty, M., & Sachdev, P. S. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.01.008 · Cited by 223
Self-citation
Metadata
- Authors
- Song, F., Poljak, A., Smythe, G. A., & Sachdev, P.
- Venue
- Brain Research Reviews
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 61
- Issue
- 2
- Pages
- 69-80
- ISSN
- 0165-0173 (ISSN-L)
- OpenAlex
- W2025935592
- Cited by
- 173
- References
- 19
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- green
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