Title |
Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update
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Published in |
Genome Medicine, April 2012
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DOI | 10.1186/gm337 |
Pubmed ID | |
Authors |
Rupasri Mandal, An Chi Guo, Kruti K Chaudhary, Philip Liu, Faizath S Yallou, Edison Dong, Farid Aziat, David S Wishart |
Abstract |
Human cerebral spinal fluid (CSF) is known to be a rich source of small molecule biomarkers for neurological and neurodegenerative diseases. In 2007, we conducted a comprehensive metabolomic study and performed a detailed literature review on metabolites that could be detected (via metabolomics or other techniques) in CSF. A total of 308 detectable metabolites were identified, of which only 23% were shown to be routinely identifiable or quantifiable with the metabolomics technologies available at that time. The continuing advancement in analytical technologies along with the growing interest in CSF metabolomics has led us to re-visit the human CSF metabolome and to re-assess both its size and the level of coverage than can be achieved with today's technologies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 50% |
United States | 1 | 17% |
France | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Members of the public | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Netherlands | 1 | <1% |
Italy | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Romania | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 185 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 29% |
Researcher | 45 | 23% |
Student > Master | 17 | 9% |
Other | 12 | 6% |
Professor > Associate Professor | 10 | 5% |
Other | 30 | 16% |
Unknown | 23 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 49 | 25% |
Chemistry | 36 | 19% |
Biochemistry, Genetics and Molecular Biology | 32 | 17% |
Medicine and Dentistry | 16 | 8% |
Neuroscience | 10 | 5% |
Other | 22 | 11% |
Unknown | 28 | 15% |