Title |
Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease
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Published in |
PLOS ONE, September 2008
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DOI | 10.1371/journal.pone.0003111 |
Pubmed ID | |
Authors |
Martín Gómez Ravetti, Pablo Moscato |
Abstract |
Alzheimer's disease (AD) is a progressive brain disease with a huge cost to human lives. The impact of the disease is also a growing concern for the governments of developing countries, in particular due to the increasingly high number of elderly citizens at risk. Alzheimer's is the most common form of dementia, a common term for memory loss and other cognitive impairments. There is no current cure for AD, but there are drug and non-drug based approaches for its treatment. In general the drug-treatments are directed at slowing the progression of symptoms. They have proved to be effective in a large group of patients but success is directly correlated with identifying the disease carriers at its early stages. This justifies the need for timely and accurate forms of diagnosis via molecular means. We report here a 5-protein biomarker molecular signature that achieves, on average, a 96% total accuracy in predicting clinical AD. The signature is composed of the abundances of IL-1alpha, IL-3, EGF, TNF-alpha and G-CSF. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Spain | 2 | 2% |
Argentina | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 95 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 29% |
Student > Ph. D. Student | 18 | 17% |
Student > Master | 9 | 9% |
Professor | 7 | 7% |
Student > Postgraduate | 5 | 5% |
Other | 19 | 18% |
Unknown | 15 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 19% |
Computer Science | 12 | 12% |
Medicine and Dentistry | 11 | 11% |
Neuroscience | 9 | 9% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Other | 21 | 20% |
Unknown | 23 | 22% |