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Plasma proteomics for the identification of Alzheimer disease
Guo LH, Alexopoulos P, Wagenpfeil S, Kurz A, Perneczky R, Alzheimer’s Disease Neuroimaging Initiative.. Alzheimer disease and associated disorders, 2013-10-01
Topic: Amyloid, tau and blood-test diagnosis
Less-invasive biomarkers for early Alzheimer disease (AD) are urgently needed. The present study aimed to establish a panel of plasma proteins that accurately distinguishes early AD from physiological aging and to compare the findings with previous reports. Fifty-eight healthy controls (CON) and 109 patients with AD dementia were randomly split into a training (40%) and a test (60%) sample. Significant proteins to differentiate between the CON and AD dementia groups were identified in a comprehensive panel of 107 plasma analytes in the training sample; the accuracy in differentiating these 2 groups was explored in the test sample. A set of 5 plasma proteins was identified, which differentiated between the CON group and the AD dementia group with a sensitivity of 89.36% and a specificity of 79.17%. A biological pathway analysis showed that 4 of 5 proteins belonged to a common network with amyloid precursor protein and tau. Apolipoprotein E was the only protein that was both significant in the present report and in a previous proteomic study. The study provides a piece of evidence in support of the feasibility of a blood-based biomarker approach in AD diagnostics; however, further research is required because of issues with replicability.
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APA 7th
Guo, L. H., Alexopoulos, P., Wagenpfeil, S., Kurz, A., Perneczky, R., & Alzheimer’s Disease Neuroimaging Initiative. (2013). Plasma proteomics for the identification of Alzheimer disease. Alzheimer disease and associated disorders. https://doi.org/10.1097/wad.0b013e31827b60d2
Vancouver
Guo LH, Alexopoulos P, Wagenpfeil S, Kurz A, Perneczky R, Alzheimer’s Disease Neuroimaging Initiative. Plasma proteomics for the identification of Alzheimer disease. Alzheimer disease and associated disorders. 2013. doi:10.1097/wad.0b013e31827b60d2. PMID: 23314060.
BibTeX
@article{guo2013-23314060,
author = {Guo, L. H. and Alexopoulos, P. and Wagenpfeil, S. and Kurz, A. and Perneczky, R. and {Alzheimer’s Disease Neuroimaging Initiative}},
title = {{Plasma proteomics for the identification of Alzheimer disease}},
journal = {Alzheimer disease and associated disorders},
year = {2013},
doi = {10.1097/wad.0b013e31827b60d2},
pmid = {23314060},
url = {https://doi.org/10.1097/wad.0b013e31827b60d2}
}
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Key findings
- Significant proteins to differentiate between the CON and AD dementia groups were identified in a comprehensive panel of 107 plasma analytes in the training sample; the accuracy in differentiating these 2 groups was explored in the test sample.
- A biological pathway analysis showed that 4 of 5 proteins belonged to a common network with amyloid precursor protein and tau.
- Apolipoprotein E was the only protein that was both significant in the present report and in a previous proteomic study.
Why it matters
Researchers compared 107 blood plasma markers in fifty-eight healthy older people and 109 people with Alzheimer's dementia and found a set of 5 proteins that told the groups apart with 89.36% sensitivity and 79.17% specificity. Apolipoprotein E was the only protein that also stood out in an earlier proteomic study. The authors see this as support for a blood test approach to diagnosis, but stress that replicability issues mean more research is needed.
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Study details
- Study designrandomized controlled trial
- Participants109
- Effect size89.36%; 79.17%
- Evidence strengthLow
How this study scored 58/100
Published in a peer-reviewed journal, and it is a randomized controlled trial.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer disease and associated disorders) |
| Journal's citation record | 1 / 4 | Alzheimer Disease & Associated Disorders: journal h-index 131 (OpenAlex, 2026-10-29) |
| Study design | 11 / 12 | A randomized controlled trial |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2013 — within 20 year(s) of the newest study here |
| Sample size | 2 / 4 | 109 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 1 / 2 | Randomized (as stated in the record) |
| Times cited | 4 / 7 | Cited 56 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 3.7 citations a year over 15 year(s) since 2013 |
| Impact for its field and year | 3 / 6 | Cited 3.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 7 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Robert Perneczky: h-index 73 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Imperial College London: institution h-index 1,744 (OpenAlex) |
| Multicenter collaboration | 2 / 3 | OpenAlex lists 4 institution(s) in 3 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 23314060) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 58 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1097/wad.0b013e31827b60d2
- PubMed: 23314060
- Original source →
- Free full text: PubMed Central →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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