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Prediction and long...
Prediction and longitudinal study of CSF biomarkers in mild cognitive impairment.
- Article/chapterEnglish2009
Publisher, publication year, extent ...
Numbers
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LIBRIS-ID:oai:gup.ub.gu.se/99315
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https://gup.ub.gu.se/publication/99315URI
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https://doi.org/10.1016/j.neurobiolaging.2007.08.010DOI
Supplementary language notes
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Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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OBJECTIVES: To longitudinally evaluate five cerebrospinal fluid (CSF) biomarkers in the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD). METHODS: A baseline and 2-year follow-up clinical and CSF study of 86 subjects, including 22 MCI patients that declined to AD (MCI-AD), 43 MCI that did not deteriorate (MCI-MCI) and 21 controls (NL-NL). All subjects were studied for total and phosphorylated tau (T-tau, P-tau(231)), amyloid beta (Abeta) Abeta(42)/Abeta(40) ratio, isoprostane (IP) as well as P-tau(231)/Abeta(42/40) and T-tau/Abeta(42/40) ratios. RESULTS: At baseline and at follow-up MCI-AD showed higher levels P-tau(231), T-tau, IP, P-tau(231)/Abeta(42/40) and T-tau/Abeta(42/40) ratios and lower Abeta(42)/Abeta(40) than MCI-MCI or NL-NL. Baseline P-tau(231) best predicted MCI-AD (80%, p<0.001) followed in accuracy by P-tau(231)/Abeta(42/40) and T-tau/Abeta(42/40) ratios (both 75%, p's<0.001), T-tau (74%, p<0.001), Abeta(42)/Abeta(40) (69%, p<0.01), and IP (68%, p<0.01). Only IP showed longitudinal effects (p<0.05). CONCLUSIONS: P-tau(231) is the strongest predictor of the decline from MCI to AD. IP levels uniquely show longitudinal progression effects. These results suggest the use of CSF biomarkers in secondary prevention trials.
Subject headings and genre
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Aged
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Aged
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80 and over
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Alzheimer Disease
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cerebrospinal fluid
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diagnosis
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Amyloid beta-Protein
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analysis
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cerebrospinal fluid
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Biological Markers
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analysis
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cerebrospinal fluid
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Cognition Disorders
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cerebrospinal fluid
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diagnosis
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Cohort Studies
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Disease Progression
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Early Diagnosis
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Female
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Humans
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Isoprostanes
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analysis
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cerebrospinal fluid
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Longitudinal Studies
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Male
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Middle Aged
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Peptide Fragments
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analysis
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cerebrospinal fluid
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Predictive Value of Tests
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Prognosis
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tau Proteins
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analysis
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cerebrospinal fluid
Added entries (persons, corporate bodies, meetings, titles ...)
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Pirraglia, Elizabeth
(author)
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Rich, Kenneth
(author)
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Rolstad, Sindre,1976Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry(Swepub:gu)xrolsi
(author)
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Mosconi, Lisa
(author)
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Switalski, Remigiusz
(author)
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Glodzik-Sobanska, Lidia
(author)
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De Santi, Susan
(author)
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Zinkowski, Ray
(author)
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Mehta, Pankaj
(author)
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Pratico, Domenico
(author)
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Saint Louis, Leslie A
(author)
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Wallin, Anders,1950Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry(Swepub:gu)xwaand
(author)
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Blennow, Kaj,1958Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry(Swepub:gu)xbleka
(author)
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de Leon, Mony J
(author)
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Göteborgs universitetInstitutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi
(creator_code:org_t)
Related titles
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In:Neurobiology of aging: Elsevier BV30:5, s. 682-901558-14970197-4580
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Mosconi, Lisa
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Switalski, Remig ...
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Glodzik-Sobanska ...
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De Santi, Susan
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Mehta, Pankaj
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Saint Louis, Les ...
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Wallin, Anders, ...
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de Leon, Mony J
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