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Tau, APP, NCT and BACE1 in lymphocytes through cognitively normal ageing and neuropathology

Overview of attention for article published in Anais da Academia Brasileira de Ciências, January 2013
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Title
Tau, APP, NCT and BACE1 in lymphocytes through cognitively normal ageing and neuropathology
Published in
Anais da Academia Brasileira de Ciências, January 2013
DOI 10.1590/0001-376520130013
Pubmed ID
Authors

Marisol Herrera-Rivero, Abraham Soto-Cid, María E Hernández, Gonzalo E Aranda-Abreu

Abstract

Although Alzheimer's disease is a brain disorder, a number of peripheral alterations have been found in these patients; however, little is known about how the key genes involved in the pathophysiology express in peripheral cells such as lymphocytes during normal compared to neuropathological ageing. We analysed the expression of tau, of the amyloid precursor protein, of nicastrin and of the β-site APP cleaving enzyme genes by RT-PCR in lymphocytes from a small group of late-onset Alzheimer's disease patients, from aged patients suffering from neuropsychological conditions different from Alzheimer's and from cognitively healthy subjects divided in four groups by age. We also investigated correlations between gene expression and levels of blood pressure, glucose, total cholesterol and triglycerides as risk factors for Alzheimer's. Results show no tau expression in lymphocytes, a lack of detection of nicastrin expression in Alzheimer's patients and correlations between the medical conditions studied and gene expression in lymphocytes. We believe nicastrin gene expression in lymphocytes should be considered of interest for further analyses in a wider population to investigate whether it might represent a potential biomarker to differentiate Alzheimer's from other neuropsychological disorders.

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Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Netherlands 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 5 17%
Professor 2 7%
Other 2 7%
Student > Postgraduate 2 7%
Other 3 10%
Unknown 9 31%
Readers by discipline Count As %
Neuroscience 6 21%
Biochemistry, Genetics and Molecular Biology 3 10%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 2 7%
Computer Science 1 3%
Other 3 10%
Unknown 11 38%