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Establishing the proteome of normal human cerebrospinal fluid

Authors :
Schutzer, Steven E.
Liu, Tao
Natelson, Benjamin H.
Angel, Thomas E.
Schepmoes, Athena A.
Purvine, Samuel O.
Hixson, Kim K.
Lipton, Mary S.
Camp, David G.
Coyle, Patricia K.
Smith, Richard D.
Bergquist, Jonas
Schutzer, Steven E.
Liu, Tao
Natelson, Benjamin H.
Angel, Thomas E.
Schepmoes, Athena A.
Purvine, Samuel O.
Hixson, Kim K.
Lipton, Mary S.
Camp, David G.
Coyle, Patricia K.
Smith, Richard D.
Bergquist, Jonas
Publication Year :
2010

Abstract

BACKGROUND: Knowledge of the entire protein content, the proteome, of normal human cerebrospinal fluid (CSF) would enable insights into neurologic and psychiatric disorders. Until now technologic hurdles and access to true normal samples hindered attaining this goal. METHODS AND PRINCIPAL FINDINGS: We applied immunoaffinity separation and high sensitivity and resolution liquid chromatography-mass spectrometry to examine CSF from healthy normal individuals. 2630 proteins in CSF from normal subjects were identified, of which 56% were CSF-specific, not found in the much larger set of 3654 proteins we have identified in plasma. We also examined CSF from groups of subjects previously examined by others as surrogates for normals where neurologic symptoms warranted a lumbar puncture but where clinical laboratory were reported as normal. We found statistically significant differences between their CSF proteins and our non-neurological normals. We also examined CSF from 10 volunteer subjects who had lumbar punctures at least 4 weeks apart and found that there was little variability in CSF proteins in an individual as compared to subject to subject. CONCLUSIONS: Our results represent the most comprehensive characterization of true normal CSF to date. This normal CSF proteome establishes a comparative standard and basis for investigations into a variety of diseases with neurological and psychiatric features.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1235153965
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1371.journal.pone.0010980