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> Ingelsson Martin
> Royal Institute of Technology >
Improved Differenti...
Improved Differential Diagnosis of Alzheimer's Disease by Integrating ELISA and Mass Spectrometry-Based Cerebrospinal Fluid Biomarkers
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- Emami Khoonsari, Payam (author)
- Uppsala universitet,Klinisk kemi
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- Shevchenko, Ganna (author)
- Uppsala universitet,Analytisk kemi
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- Herman, Stephanie (author)
- Uppsala universitet,Klinisk kemi
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- Remnestål, Julia (author)
- KTH,Affinitets-proteomik,KTH Royal Inst Technol, Dept Prot Sci, Div Affin Prote, SciLifeLab, Stockholm, Sweden
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- Giedraitis, Vilmantas (author)
- Uppsala universitet,Geriatrik
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- Brundin, RoseMarie (author)
- Uppsala universitet,Geriatrik
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- Degerman Gunnarsson, Malin, 1969- (author)
- Uppsala universitet,Geriatrik
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- Kilander, Lena (author)
- Uppsala universitet,Geriatrik
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- Zetterberge, Henrik (author)
- Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden.;Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden.;UK Dementia Res Inst UCL, London, England.;UCL Inst Neurol, Dept Mol Neurosci, Queen Sq, London, England.
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- Nilsson, Peter (author)
- KTH,Science for Life Laboratory, SciLifeLab,KTH Royal Inst Technol, Dept Prot Sci, Div Affin Prote, SciLifeLab, Stockholm, Sweden
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- Lannfelt, Lars (author)
- Uppsala universitet,Geriatrik
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- Ingelsson, Martin (author)
- Uppsala universitet,Geriatrik
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- Kultima, Kim (author)
- Uppsala universitet,Klinisk kemi
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(creator_code:org_t)
- IOS PRESS, 2019
- 2019
- English.
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In: Journal of Alzheimer's Disease. - : IOS PRESS. - 1387-2877 .- 1875-8908. ; 67:2, s. 639-651
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https://uu.diva-port... (primary) (Raw object)
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Abstract
Subject headings
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- Background: Alzheimer's disease (AD) is diagnosed based on a clinical evaluation as well as analyses of classical biomarkers: A beta(42), total tau (t-tau), and phosphorylated tau (p-tau) in cerebrospinal fluid (CSF). Although the sensitivities and specificities of the classical biomarkers are fairly good for detection of AD, there is still a need to develop novel biochemical markers for early detection of AD. Objective: We explored if integration of novel proteins with classical biomarkers in CSF can better discriminate AD from non-AD subjects. Methods: We applied ELISA, mass spectrometry, and multivariate modeling to investigate classical biomarkers and the CSF proteome in subjects (n = 206) with 76 AD patients, 74 mild cognitive impairment (MCI) patients, 11 frontotemporal dementia (FTD) patients, and 45 non-dementia controls. The MCI patients were followed for 4-9 years and 21 of these converted to AD, whereas 53 remained stable. Results: By combining classical CSF biomarkers with twelve novel markers, the area of the ROC curves (AUROCS) of distinguishing AD and MCl/AD converters from non-AD were 93% and 96%, respectively. The FTDs and non-dementia controls were identified versus all other groups with AUROCS of 96% and 87%, respectively. Conclusions: Integration of new and classical CSF biomarkers in a model-based approach can improve the identification of AD, FTD, and non-dementia control subjects.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Neurologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Neurology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Geriatrik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Geriatrics (hsv//eng)
Keyword
- Alzheimer's disease
- cerebrospinal fluid
- ELISA
- mass spectrometry
- mild cognitive impairment
- proteomics
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Emami Khoonsari, ...
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Shevchenko, Gann ...
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Herman, Stephani ...
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Remnestål, Julia
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Giedraitis, Vilm ...
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Brundin, RoseMar ...
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Degerman Gunnars ...
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Kilander, Lena
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Zetterberge, Hen ...
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Nilsson, Peter
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Lannfelt, Lars
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Ingelsson, Marti ...
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Kultima, Kim
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Neurology
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Geriatrics
- Articles in the publication
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Journal of Alzhe ...
- By the university
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Royal Institute of Technology
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Uppsala University