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Novel panel of cerebrospinal fluid biomarkers for the prediction of progression to Alzheimer dementia in patients with mild cognitive impairment

Simonsen, Anja H.; McGuire, James; Hansson, Oskar LU ; Zetterberg, Henrik; Podust, Vladimir N.; Davies, Huw A.; Waldemar, Gunhild; Minthon, Lennart LU and Blennow, Kaj (2007) In Archives of Neurology 64(3). p.366-370
Abstract
Objective: To use proteomic analysis of cerebrospinal fluid to discover novel proteins and peptides able to differentiate between patients with stable mild cognitive impairment (MCI) and those who will progress to Alzheimer disease (AD). Design: Baseline cerebrospinal fluid samples from patients with MCI and healthy controls were profiled using surface-enhanced laser desorption/ionization time-offlight mass spectrometry. Setting: Memory disorder clinic. Participants: Patients with MCI (n = 113), of whom 56 were cognitively stable and 57 progressed to AD with dementia during a 4- to 6-year follow-up, as well as 28 healthy controls who were followed up for 3 years. Main Outcome Measure: During follow-up, 57 patients progressed to AD and 56... (More)
Objective: To use proteomic analysis of cerebrospinal fluid to discover novel proteins and peptides able to differentiate between patients with stable mild cognitive impairment (MCI) and those who will progress to Alzheimer disease (AD). Design: Baseline cerebrospinal fluid samples from patients with MCI and healthy controls were profiled using surface-enhanced laser desorption/ionization time-offlight mass spectrometry. Setting: Memory disorder clinic. Participants: Patients with MCI (n = 113), of whom 56 were cognitively stable and 57 progressed to AD with dementia during a 4- to 6-year follow-up, as well as 28 healthy controls who were followed up for 3 years. Main Outcome Measure: During follow-up, 57 patients progressed to AD and 56 patients had stable MCI. Cerebrospinal fluid from these 2 groups of patients was compared using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Results: We identified a panel of 17 potential biomarkers that could distinguish between patients with stable MCI and patients with MCI who progressed to AD. We have positively identified and characterized 5 of the potential biomarkers. Conclusions: Proteomic profiling of cerebrospinal fluid provided a novel panel of 17 potential biomarkers for prediction of MCI progression to AD. The 5 identified biomarkers are relevant to the pathogenesis of AD and could help gain an understanding of the molecular pathways in which they may function. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Archives of Neurology
volume
64
issue
3
pages
366 - 370
publisher
American Medical Association
external identifiers
  • wos:000244854600008
  • scopus:33947287762
ISSN
0003-9942
language
English
LU publication?
yes
id
523e5024-0bfd-471a-a8b7-c522f4dc7afb (old id 670802)
alternative location
http://archneur.ama-assn.org/cgi/content/abstract/64/3/366
date added to LUP
2007-12-19 14:43:51
date last changed
2017-09-17 04:48:09
@article{523e5024-0bfd-471a-a8b7-c522f4dc7afb,
  abstract     = {Objective: To use proteomic analysis of cerebrospinal fluid to discover novel proteins and peptides able to differentiate between patients with stable mild cognitive impairment (MCI) and those who will progress to Alzheimer disease (AD). Design: Baseline cerebrospinal fluid samples from patients with MCI and healthy controls were profiled using surface-enhanced laser desorption/ionization time-offlight mass spectrometry. Setting: Memory disorder clinic. Participants: Patients with MCI (n = 113), of whom 56 were cognitively stable and 57 progressed to AD with dementia during a 4- to 6-year follow-up, as well as 28 healthy controls who were followed up for 3 years. Main Outcome Measure: During follow-up, 57 patients progressed to AD and 56 patients had stable MCI. Cerebrospinal fluid from these 2 groups of patients was compared using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Results: We identified a panel of 17 potential biomarkers that could distinguish between patients with stable MCI and patients with MCI who progressed to AD. We have positively identified and characterized 5 of the potential biomarkers. Conclusions: Proteomic profiling of cerebrospinal fluid provided a novel panel of 17 potential biomarkers for prediction of MCI progression to AD. The 5 identified biomarkers are relevant to the pathogenesis of AD and could help gain an understanding of the molecular pathways in which they may function.},
  author       = {Simonsen, Anja H. and McGuire, James and Hansson, Oskar and Zetterberg, Henrik and Podust, Vladimir N. and Davies, Huw A. and Waldemar, Gunhild and Minthon, Lennart and Blennow, Kaj},
  issn         = {0003-9942},
  language     = {eng},
  number       = {3},
  pages        = {366--370},
  publisher    = {American Medical Association},
  series       = {Archives of Neurology},
  title        = {Novel panel of cerebrospinal fluid biomarkers for the prediction of progression to Alzheimer dementia in patients with mild cognitive impairment},
  volume       = {64},
  year         = {2007},
}