Abstract
We report on the analysis of endogenous peptides in cerebrospinal fluid (CSF) by mass spectrometry. A method was developed for preparation of peptide extracts from CSF. Analysis of the extracts by offline LC-MALDI MS resulted in the detection of 3,000-4,000 peptide-like features. Out of these, 730 peptides were identified by MS/MS. The majority of these peptides have not been previously reported in CSF. The identified peptides were found to originate from 104 proteins, of which several have been reported to be involved in different disorders of the central nervous system. These results support the notion that CSF peptidomics may be viable complement to proteomics in the search of biomarkers of CNS disorders.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Amino Acid Sequence
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Cerebrospinal Fluid Proteins / chemistry
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Cerebrospinal Fluid Proteins / metabolism
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Chromatography, Liquid / methods*
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Databases, Protein
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Humans
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Molecular Sequence Data
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Peptides / cerebrospinal fluid*
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Peptides / chemistry
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Proteome / chemistry
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Proteome / metabolism*
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Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
Substances
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Cerebrospinal Fluid Proteins
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Peptides
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Proteome
Grants and funding
Demensfonden, Emil och Wera Cornells stiftelse, Gamla tjänarinnor, Vetenskapsrådet (521-2011-4709), Strategiska stiftelsen (KF10-0039), Gun och Bertil Stohnes stiftelse, Sahlgrenska Akademin, Wilhelm och Martina Lundgrens Vetenskapsfond, Kungliga och Hvitfeldtska stiftelsen, and Hjalmar Svenssons forskningsfond. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.