Longitudinal change in CSF Tau and Aβ biomarkers for up to 48 months in ADNI View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-11

AUTHORS

Jon B. Toledo, Sharon X. Xie, John Q. Trojanowski, Leslie M. Shaw

ABSTRACT

The dynamics of cerebrospinal fluid (CSF) tau and Aβ biomarkers over time in Alzheimer's disease (AD) patients from prodromal pre-symptomatic to severe stages of dementia have not been clearly defined and recent studies, most of which are cross-sectional, present conflicting findings. To clarify this issue, we analyzed the longitudinal CSF tau and Aβ biomarker data from 142 of the AD Neuroimaging Initiative (ADNI) study subjects [18 AD, 74 mild cognitive impairment (MCI), and 50 cognitively normal subjects (CN)]. Yearly follow-up CSF collections and studies were conducted for up to 48 months (median = 36 months) for CSF Aβ1-42, phosphorylated tau (p-tau181), and total tau (t-tau). An unsupervised analysis of longitudinal measurements revealed that for Aβ1-42 and p-tau181 biomarkers there was a group of subjects with stable longitudinal CSF biomarkers measures and a group of subjects who showed a decrease (Aβ1-42, mean = -9.2 pg/ml/year) or increase (p-tau181, mean = 5.1 pg/ml/year) of these biomarker values. Low baseline Aβ1-42 values were associated with longitudinal increases in p-tau181. Conversely, high baseline p-tau181 values were not associated with changes in Aβ1-42 levels. When the subjects with normal baseline biomarkers and stable concentrations during follow-up were excluded, the expected time to reach abnormal CSF levels and the mean AD values was significantly shortened. Thus, our data demonstrate for the first time that there are distinct populations of ADNI subjects with abnormal longitudinal changes in CSF p-tau181 and Aβ1-42 levels, and our longitudinal results favor the hypothesis that Aβ1-42 changes precede p-tau181 changes. More... »

PAGES

659-670

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00401-013-1151-4

DOI

http://dx.doi.org/10.1007/s00401-013-1151-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052998440

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23812320


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00401-013-1151-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00401-013-1151-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00401-013-1151-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00401-013-1151-4'


 

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