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Biobanking in the 21st Century

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Attention for Chapter 7: Biobanking of Cerebrospinal Fluid for Biomarker Analysis in Neurological Diseases
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Chapter title
Biobanking of Cerebrospinal Fluid for Biomarker Analysis in Neurological Diseases
Chapter number 7
Book title
Biobanking in the 21st Century
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-20579-3_7
Pubmed ID
Book ISBNs
978-3-31-920578-6, 978-3-31-920579-3
Authors

Eline A. J. Willemse, Charlotte E. Teunissen, Willemse, Eline A. J., Teunissen, Charlotte E.

Abstract

Cerebrospinal fluid (CSF) reflects pathophysiological aspects of neurological diseases, where neuroprotective strategies and biomarkers are urgently needed. Therefore, biobanking is very relevant for biomarker discovery and evaluation for these neurological diseases.An important aspect of CSF biobanking is quality control, needed for e.g. consistent patient follow-up and the exchange of patient samples between research centers. Systematic studies to address effects of pre-analytical and storage variation on a broad range of CSF proteins are needed and initiated.Important features of CSF biobanking are intensive collaboration in international networks and the tight application of standardized protocols. The current adoption of standardized protocols for CSF and blood collection and for biobanking of these samples, as presented in this chapter, enables biomarker studies in large cohorts of patients and controls.In conclusion, biomarker research in neurodegenerative diseases has entered a new era due to the collaborative and multicenter efforts of many groups. The streamlining of biobanking procedures, including sample collection, quality control, and the selection of optimal control groups for investigating biomarkers is an important improvement to perform high quality biomarker studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 6 18%
Student > Bachelor 4 12%
Student > Master 3 9%
Other 3 9%
Other 0 0%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Neuroscience 6 18%
Biochemistry, Genetics and Molecular Biology 4 12%
Business, Management and Accounting 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 12 36%