Literature DB >> 16199891

Comparative proteomic analysis of intra- and interindividual variation in human cerebrospinal fluid.

Yan Hu1, James P Malone, Anne M Fagan, R Reid Townsend, David M Holtzman.   

Abstract

Cerebrospinal fluid (CSF) is a potential source of biomarkers for many disorders of the central nervous system, including Alzheimer disease (AD). Prior to comparing CSF samples between individuals to identify patterns of disease-associated proteins, it is important to examine variation within individuals over a short period of time so that one can better interpret potential changes in CSF between individuals as well as changes within a given individual over a longer time span. In this study, we analyzed 12 CSF samples, composed of pairs of samples from six individuals, obtained 2 weeks apart. Multiaffinity depletion, two-dimensional DIGE, and tandem mass spectrometry were used. A number of proteins whose abundance varied between the two time points was identified for each individual. Some of these proteins were commonly identified in multiple individuals. More importantly, despite the intraindividual variations, hierarchical clustering and multidimensional scaling analysis of the proteomic profiles revealed that two CSF samples from the same individual cluster the closest together and that the between-subject variability is much larger than the within-subject variability. Among the six subjects, comparison between the four cognitively normal and the two very mildly demented subjects also yielded some proteins that have been identified in previous AD biomarker studies. These results validate our method of identifying differences in proteomic profiles of CSF samples and have important implications for the design of CSF biomarker studies for AD and other central nervous system disorders.

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Year:  2005        PMID: 16199891     DOI: 10.1074/mcp.M500207-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  42 in total

1.  Proteomic profiling of cerebrospinal fluid identifies prostaglandin D2 synthase as a putative biomarker for pediatric medulloblastoma: A pediatric brain tumor consortium study.

Authors:  Meena U Rajagopal; Yetrib Hathout; Tobey J MacDonald; Mark W Kieran; Sri Gururangan; Susan M Blaney; Peter Phillips; Roger Packer; Heather Gordish-Dressman; Brian R Rood
Journal:  Proteomics       Date:  2011-01-27       Impact factor: 3.984

2.  YKL-40: a novel prognostic fluid biomarker for preclinical Alzheimer's disease.

Authors:  Rebecca Craig-Schapiro; Richard J Perrin; Catherine M Roe; Chengjie Xiong; Deborah Carter; Nigel J Cairns; Mark A Mintun; Elaine R Peskind; Ge Li; Douglas R Galasko; Christopher M Clark; Joseph F Quinn; Gina D'Angelo; James P Malone; R Reid Townsend; John C Morris; Anne M Fagan; David M Holtzman
Journal:  Biol Psychiatry       Date:  2010-11-15       Impact factor: 13.382

Review 3.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

4.  Comparative time-dependent analysis of potential inflammation biomarkers in lymphoma-bearing SJL mice.

Authors:  Monica H Kristiansson; Vadiraja B Bhat; I Ramesh Babu; John S Wishnok; Steven R Tannenbaum
Journal:  J Proteome Res       Date:  2007-03-28       Impact factor: 4.466

5.  Two-dimensional fluorescence difference gel electrophoresis for comparative proteomics profiling.

Authors:  Nilesh S Tannu; Scott E Hemby
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

Review 6.  Proteomics of human neurodegenerative diseases.

Authors:  Jing Zhang; C Dirk Keene; Catherine Pan; Kathleen S Montine; Thomas J Montine
Journal:  J Neuropathol Exp Neurol       Date:  2008-10       Impact factor: 3.685

7.  Structural and quantitative comparison of cerebrospinal fluid glycoproteins in Alzheimer's disease patients and healthy individuals.

Authors:  Carina Sihlbom; Pia Davidsson; Magnus Sjögren; Lars-Olof Wahlund; Carol L Nilsson
Journal:  Neurochem Res       Date:  2008-02-21       Impact factor: 3.996

8.  Application of mass spectrometry-based proteomics for biomarker discovery in neurological disorders.

Authors:  Abhilash Venugopal; Raghothama Chaerkady; Akhilesh Pandey
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

9.  A proteomic approach for the diagnosis of bacterial meningitis.

Authors:  Sarah Jesse; Petra Steinacker; Stefan Lehnert; Martin Sdzuj; Lukas Cepek; Hayrettin Tumani; Olaf Jahn; Holger Schmidt; Markus Otto
Journal:  PLoS One       Date:  2010-04-08       Impact factor: 3.240

10.  Rapid etiological classification of meningitis by NMR spectroscopy based on metabolite profiles and host response.

Authors:  Uwe Himmelreich; Richard Malik; Till Kühn; Heide-Marie Daniel; Ray L Somorjai; Brion Dolenko; Tania C Sorrell
Journal:  PLoS One       Date:  2009-04-24       Impact factor: 3.240

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