The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study
Open accessAbstract
A blood-based protein biomarker, or set of protein biomarkers, that could predict onset and progression of Alzheimer's disease (AD) would have great utility; potentially clinically, but also for clinical trials and especially in the selection of subjects for preventative trials. We reviewed a comprehensive list of 21 published discovery or panel-based (> 100 proteins) blood proteomics studies of AD, which had identified a total of 163 candidate biomarkers. Few putative blood-based protein biomarkers replicate in independent studies but we found that some proteins do appear in multiple studies; for example, four candidate biomarkers are found to associate with AD-related phenotypes in five independent research cohorts in these 21 studies: α-1-antitrypsin, α-2-macroglobulin, apolipoprotein E, and complement C3. Using SomaLogic's SOMAscan proteomics technology, we were able to conduct a large-scale replication study for 94 of the 163 candidate biomarkers from these 21 published studies in plasma samples from 677 subjects from the AddNeuroMed (ANM) and the Alzheimer's Research UK/Maudsley BRC Dementia Case Registry at King's Health Partners (ARUK/DCR) research cohorts. Nine of the 94 previously reported candidates were found to associate with AD-related phenotypes (False Discovery Rate (FDR) q-value < 0.1). These proteins show sufficient replication to be considered for further investigation as a biomarker set. Overall, we show that there are some signs of a replicable signal in the range of proteins identified in previous studies and we are able to further replicate some of these. This suggests that AD pathology does affect the blood proteome with some consistency.
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The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Aptamer-Based Multiplexed Proteomic Technology for Biomarker Discovery
Gold, L., Ayers, D., Bertino, J., Bock, C., Bock, A., Brody, E. N., Carter, J., Dalby, A. B., Eaton, B. E., Fitzwater, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015004 · Cited by 1,754
Self-citationClassification 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
Neuroinflammation and psychiatric illness
Najjar, S., Pearlman, D. M., Alper, K., Najjar, A., & Devinsky, O. (2013) · Journal of Neuroinflammation · doi:10.1186/1742-2094-10-43 · Cited by 733
Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease
Li, H., Wetten, S., Li, L., St. Jean, P. L., Upmanyu, R., Surh, L., Hosford, D., Barnes, M. R., Briley, J. D., Borrie, M., et al. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.3 · Cited by 499
Self-citationAge-Dependent Changes in the Cerebrospinal Fluid Proteome by Slow Off-Rate Modified Aptamer Array
Baird, G. S., Nelson, S. K., Keeney, T. R., Stewart, A., Williams, S., Kraemer, S., Peskind, E. R., & Montine, T. J. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2011.10.024 · Cited by 110
Self-citationPlasma Based Markers of [11C] PiB-PET Brain Amyloid Burden
Kiddle, S. J., Thambisetty, M., Simmons, A., Riddoch-Contreras, J., Hye, A., Westman, E., Pike, I., Ward, M., Johnston, C., Lupton, M. K., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044260 · Cited by 100
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Preclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
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Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357
Plasma phospholipids identify antecedent memory impairment in older adults
Mapstone, M., Cheema, A. K., Fiandaca, M. S., Zhong, X., Mhyre, T. R., MacArthur, L. H., Hall, W. J., Fisher, S. G., Peterson, D. R., Haley, J. M., et al. (2014) · Nature Medicine · doi:10.1038/nm.3466 · Cited by 1,043
Connecting genetic risk to disease end points through the human blood plasma proteome
Suhre, K., Arnold, M., Bhagwat, A. M., Cotton, R. J., Engelke, R., Raffler, J., Sarwath, H., Thareja, G., Wahl, A., DeLisle, R. K., et al. (2017) · Nature Communications · doi:10.1038/ncomms14357 · Cited by 800
Rohloff, J. C., Gelinas, A. D., Jarvis, T. C., Ochsner, U. A., Schneider, D. J., Gold, L., & Janjic, N. (2014) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2014.49 · Cited by 533
Metadata
- Authors
- Kiddle, S. J., Sattlecker, M., Proitsi, P., Simmons, A., Westman, E., Bazenet, C., Nelson, S. K., Williams, S., Hodges, A., Johnston, C., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Newhouse, S., Lovestone, S., & Dobson, R. J. B.
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2013-11-25
- Volume
- 38
- Issue
- 3
- Pages
- 515-531
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- OpenAlex
- W1507990444
- Cited by
- 189
- References
- 8
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Kiddle, S. J., Sattlecker, M., Proitsi, P., Simmons, A., Westman, E., Bazenet, C., Nelson, S. K., Williams, S., Hodges, A., Johnston, C., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Newhouse, S., Lovestone, S., & Dobson, R. J. B. (2013). Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study. Journal of Alzheimer's Disease. https://doi.org/10.3233/jad-130380
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
