Title |
Identification of longitudinally dynamic biomarkers in Alzheimer’s disease cerebrospinal fluid by targeted proteomics
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Published in |
Molecular Neurodegeneration, June 2014
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DOI | 10.1186/1750-1326-9-22 |
Pubmed ID | |
Authors |
Kristin R Wildsmith, Stephen P Schauer, Ashley M Smith, David Arnott, Yuda Zhu, Joshua Haznedar, Surinder Kaur, W Rodney Mathews, Lee A Honigberg |
Abstract |
Alzheimer's disease (AD) is the leading cause of dementia affecting greater than 26 million people worldwide. Although cerebrospinal fluid (CSF) levels of Aβ42, tau, and p-tau181 are well established as diagnostic biomarkers of AD, there is a need for additional CSF biomarkers of neuronal function that continue to change during disease progression and could be used as pharmacodynamic measures in clinical trials. Multiple proteomic discovery experiments have reported a range of CSF biomarkers that differ between AD and control subjects. These potential biomarkers represent multiple aspects of the disease pathology. The performance of these markers has not been compared with each other, and their performance has not been evaluated longitudinally. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Portugal | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 3 | 2% |
United States | 2 | 1% |
Netherlands | 1 | <1% |
Belgium | 1 | <1% |
Australia | 1 | <1% |
Greece | 1 | <1% |
Spain | 1 | <1% |
Unknown | 133 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 22% |
Student > Ph. D. Student | 28 | 20% |
Student > Master | 18 | 13% |
Professor > Associate Professor | 8 | 6% |
Student > Bachelor | 7 | 5% |
Other | 18 | 13% |
Unknown | 32 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 17% |
Biochemistry, Genetics and Molecular Biology | 19 | 13% |
Medicine and Dentistry | 18 | 13% |
Neuroscience | 17 | 12% |
Chemistry | 7 | 5% |
Other | 22 | 15% |
Unknown | 36 | 25% |