The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Alzheimer's disease biomarker discovery using SOMAscan multiplexed protein technology
Open accessAbstract
Blood proteins and their complexes have become the focus of a great deal of interest in the context of their potential as biomarkers of Alzheimer's disease (AD). We used a SOMAscan assay for quantifying 1001 proteins in blood samples from 331 AD, 211 controls, and 149 mild cognitive impaired (MCI) subjects. The strongest associations of protein levels with AD outcomes were prostate‐specific antigen complexed to α1‐antichymotrypsin (AD diagnosis), pancreatic prohormone (AD diagnosis, left entorhinal cortex atrophy, and left hippocampus atrophy), clusterin (rate of cognitive decline), and fetuin B (left entorhinal atrophy). Multivariate analysis found that a subset of 13 proteins predicted AD with an accuracy of area under the curve of 0.70. Our replication of previous findings provides further evidence that levels of these proteins in plasma are truly associated with AD. The newly identified proteins could be potential biomarkers and are worthy of further investigation.
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“novel and highly sensitive high‐throughput protein arrays, such as aptamer‐based technologies, immunobased proximity extension assays, or antibody suspension beads arrays, which can readily measure large sets of protein libraries in CSF and blood samples. 132 , 133 , 134 , 135 , 136 , 137 , 138”
From New developments of biofluid‐based biomarkers for routine diagnosis and disease trajectories in frontotemporal dementia (2022) · cites this paper as [132]
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“The coverage of proteins on the platform has taken into account proteins known to be relevant to human disease, including neurodegenerative diseases55 and cardiovascular diseases56; thus it has been widely used for biomarker discovery.”
From Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders (2021) · cites this paper as [55]
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Aptamer-Based Multiplexed Proteomic Technology for Biomarker Discovery
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“[22].”
Self-citationInverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humans
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“Similarly, positron emission tomography imaging of amyloid burden in the brain correlates with clinical diagnosis of AD, Ab neuropathology at autopsy [3,4,6], and CSFAb1-42 levels [7–10] but is equally impractical for use in large groups of frail elderly patients and is restricted to specialist centers.”
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Self-citationRelationships between biomarkers in aging and dementia
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“This finding replicates pervious findings, which showed the association of clusterin with more severe disease and rapid clinical progression [20,35].”
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Genomic atlas of the human plasma proteome
Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0175-2 · Cited by 2,268
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
Ageing, neurodegeneration and brain rejuvenation
Wyss-Coray, T. (2016) · Nature · doi:10.1038/nature20411 · Cited by 1,147
Undulating changes in human plasma proteome profiles across the lifespan
Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., Moran Losada, P., Berdnik, D., Keller, A., Verghese, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0673-2 · Cited by 981
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
Metadata
- Authors
- Sattlecker, M., Kiddle, S. J., Newhouse, S., Proitsi, P., Nelson, S., Williams, S., Johnston, C., Killick, R., Simmons, A., Westman, E., Hodges, A., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Lovestone, S., AddNeuroMed Consortium, & Dobson, R. J. B.
- Affiliations
- King's College London (GB)
- SomaLogic (United States) (US)
- University of Eastern Finland (FI)
- Medical University of Lodz (PL)
- University of Perugia (IT)
- Aristotle University of Thessaloniki (GR)
- Inserm (FR)
- Corresponding author
- Dobson, Richard J.B.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2014-04-28
- Volume
- 10
- Issue
- 6
- Pages
- 724-734
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W2035892094
- Cited by
- 223
- References
- 54
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 19 · 2023: 15 · 2022: 13 · 2021: 26 · 2020: 22 · 2019: 16 · 2018: 18 · 2017: 13 · 2016: 20 · 2015: 26 · 2014: 9
- FWCI
- 17.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Portal (King's College London) (acceptedVersion, cc-by-nc-nd)
- UCL Discovery (University College London) (submittedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc-nd)
- Funders
- NIHR Newcastle Biomedical Research Centre
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, biomarkers
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Blood Proteins, Brain, Female, Humans, Magnetic Resonance Imaging, Male, ROC Curve, Cohort Studies, Biomarkers, Logistic Models, Proteomics, Cognitive Dysfunction
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