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Sökning: onr:"swepub:oai:gup.ub.gu.se/126663" > Diagnosis-independe...

Diagnosis-independent Alzheimer disease biomarker signature in cognitively normal elderly people.

De Meyer, Geert (författare)
Shapiro, Fred (författare)
Vanderstichele, Hugo (författare)
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Vanmechelen, Eugeen (författare)
Engelborghs, Sebastiaan (författare)
De Deyn, Peter Paul (författare)
Coart, Els (författare)
Hansson, Oskar (författare)
Minthon, Lennart, 1951 (författare)
Zetterberg, Henrik, 1973 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Blennow, Kaj, 1958 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry
Shaw, Leslie (författare)
Trojanowski, John Q (författare)
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 (creator_code:org_t)
American Medical Association (AMA), 2010
2010
Engelska.
Ingår i: Archives of neurology. - : American Medical Association (AMA). - 1538-3687 .- 0003-9942. ; 67:8, s. 949-56
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • OBJECTIVE: To identify biomarker patterns typical for Alzheimer disease (AD) in an independent, unsupervised way, without using information on the clinical diagnosis. DESIGN: Mixture modeling approach. SETTING: Alzheimer's Disease Neuroimaging Initiative database. Patients or Other PARTICIPANTS: Cognitively normal persons, patients with AD, and individuals with mild cognitive impairment. MAIN OUTCOME MEASURES: Cerebrospinal fluid-derived beta-amyloid protein 1-42, total tau protein, and phosphorylated tau(181P) protein concentrations were used as biomarkers on a clinically well-characterized data set. The outcome of the qualification analysis was validated on 2 additional data sets, 1 of which was autopsy confirmed. RESULTS: Using the US Alzheimer's Disease Neuroimaging Initiative data set, a cerebrospinal fluid beta-amyloid protein 1-42/phosphorylated tau(181P) biomarker mixture model identified 1 feature linked to AD, while the other matched the "healthy" status. The AD signature was found in 90%, 72%, and 36% of patients in the AD, mild cognitive impairment, and cognitively normal groups, respectively. The cognitively normal group with the AD signature was enriched in apolipoprotein E epsilon4 allele carriers. Results were validated on 2 other data sets. In 1 study consisting of 68 autopsy-confirmed AD cases, 64 of 68 patients (94% sensitivity) were correctly classified with the AD feature. In another data set with patients (n = 57) with mild cognitive impairment followed up for 5 years, the model showed a sensitivity of 100% in patients progressing to AD. CONCLUSIONS: The mixture modeling approach, totally independent of clinical AD diagnosis, correctly classified patients with AD. The unexpected presence of the AD signature in more than one-third of cognitively normal subjects suggests that AD pathology is active and detectable earlier than has heretofore been envisioned.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

Nyckelord

Aged
Aged
80 and over
Alzheimer Disease
cerebrospinal fluid
diagnosis
genetics
physiopathology
Amyloid beta-Protein
cerebrospinal fluid
Apolipoprotein E4
genetics
Biological Markers
cerebrospinal fluid
Cognition
physiology
Female
Follow-Up Studies
Geriatric Assessment
Humans
Male
Peptide Fragments
cerebrospinal fluid
ROC Curve
Reproducibility of Results
tau Proteins
cerebrospinal fluid

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