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Identification of CSF biomarkers for frontotemporal dementia using SELDI-TOF

Ruetschi, U ; Zetterberg, H ; Podust, VN ; Gottfries, J ; Li, S ; Simonsen, AH ; McGuire, J ; Karlsson, M ; Rymo, L and Davies, H , et al. (2005) In Experimental Neurology 196(2). p.273-281
Abstract
This investigation describes the discovery of novel possible cerebrospinal fluid (CSF) biomarkers for frontotemporal dementia (FTD) using surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS). Sixteen clinically diagnosed FTD patients and 12 non-demented controls were included in the study. CSF was collected and analyzed for protein expression by SELDI-TOF MS. The samples were analyzed on four different array surfaces using two different energy-absorbing molecules as matrices. In total each sample was subjected to eight different surface/matrix conditions. About 2000 protein peaks (mass/charge ratios) were detected. Forty-two peaks were differentially expressed in FTD (P < 0.01). After exclusion... (More)
This investigation describes the discovery of novel possible cerebrospinal fluid (CSF) biomarkers for frontotemporal dementia (FTD) using surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS). Sixteen clinically diagnosed FTD patients and 12 non-demented controls were included in the study. CSF was collected and analyzed for protein expression by SELDI-TOF MS. The samples were analyzed on four different array surfaces using two different energy-absorbing molecules as matrices. In total each sample was subjected to eight different surface/matrix conditions. About 2000 protein peaks (mass/charge ratios) were detected. Forty-two peaks were differentially expressed in FTD (P < 0.01). After exclusion of peaks with low signal-to-noise ratio and/or poor resolution and peaks representing differentially charged proteins, 10 peaks remained, five of which were increased and five decreased in FTD cases compared to controls. Using partial least square discriminant analysis (PLS-DA), the combination of these biomarkers discriminated FTD from non-demented controls with a sensitivity of 94%, a specificity of 83% and an accuracy of 89%. Five of the peaks were purified further and identified by tandem MS as a fragment of neurosecretory protein VGF, transthyretin, S-cysteinylated transthyretin, truncated cystatin C and a fragment of chromogranin B. With use of these potential biomarkers, FTD can be distinguished from control subjects with high accuracy in this pilot study. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Experimental Neurology
volume
196
issue
2
pages
273 - 281
publisher
Elsevier
external identifiers
  • wos:000233547700007
  • pmid:16154129
  • scopus:27744487547
ISSN
0014-4886
DOI
10.1016/j.expneurol.2005.08.002
language
English
LU publication?
yes
id
2048bb47-bce0-45a3-a500-62c735825467 (old id 212258)
date added to LUP
2016-04-01 12:04:03
date last changed
2022-03-05 18:27:43
@article{2048bb47-bce0-45a3-a500-62c735825467,
  abstract     = {{This investigation describes the discovery of novel possible cerebrospinal fluid (CSF) biomarkers for frontotemporal dementia (FTD) using surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectrometry (MS). Sixteen clinically diagnosed FTD patients and 12 non-demented controls were included in the study. CSF was collected and analyzed for protein expression by SELDI-TOF MS. The samples were analyzed on four different array surfaces using two different energy-absorbing molecules as matrices. In total each sample was subjected to eight different surface/matrix conditions. About 2000 protein peaks (mass/charge ratios) were detected. Forty-two peaks were differentially expressed in FTD (P &lt; 0.01). After exclusion of peaks with low signal-to-noise ratio and/or poor resolution and peaks representing differentially charged proteins, 10 peaks remained, five of which were increased and five decreased in FTD cases compared to controls. Using partial least square discriminant analysis (PLS-DA), the combination of these biomarkers discriminated FTD from non-demented controls with a sensitivity of 94%, a specificity of 83% and an accuracy of 89%. Five of the peaks were purified further and identified by tandem MS as a fragment of neurosecretory protein VGF, transthyretin, S-cysteinylated transthyretin, truncated cystatin C and a fragment of chromogranin B. With use of these potential biomarkers, FTD can be distinguished from control subjects with high accuracy in this pilot study.}},
  author       = {{Ruetschi, U and Zetterberg, H and Podust, VN and Gottfries, J and Li, S and Simonsen, AH and McGuire, J and Karlsson, M and Rymo, L and Davies, H and Minthon, Lennart and Blennow, K}},
  issn         = {{0014-4886}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{273--281}},
  publisher    = {{Elsevier}},
  series       = {{Experimental Neurology}},
  title        = {{Identification of CSF biomarkers for frontotemporal dementia using SELDI-TOF}},
  url          = {{http://dx.doi.org/10.1016/j.expneurol.2005.08.002}},
  doi          = {{10.1016/j.expneurol.2005.08.002}},
  volume       = {{196}},
  year         = {{2005}},
}