Literature DB >> 23575575

Processing of the platelet amyloid precursor protein in the mild cognitive impairment (MCI).

Paloma Bermejo-Bescós1, Sagrario Martín-Aragón, Karim Jiménez-Aliaga, Juana Benedí, Emanuela Felici, Pedro Gil, José Manuel Ribera, Angel María Villar.   

Abstract

It has been suggested that mild cognitive impairment (MCI) patients deteriorate faster than the healthy elderly population and have an increased risk of developing dementia. Certain blood molecular biomarkers have been identified as prognostic markers in Alzheimer's disease (AD). The present study was aimed to assess the status of the platelet amyloid precursor protein (APP) metabolism in MCI and AD subjects and establish to what extent any variation could have a prognostic value suggestive of predictive AD in MCI patients. Thirty-four subjects diagnosed with MCI and 45 subjects with AD were compared to 28 healthy elderly individuals for assessing for protein levels of APP, β-APP cleaving enzyme 1 (BACE1), presenilin 1 (PS1) and a disintegrin and metalloproteinase-10 (ADAM-10) by western blot, and for the enzyme activities of BACE1 and γ-secretase by using specific fluorogenic substrates, in samples of platelets. A similar pattern in the healthy elderly and MCI patients was found for BACE1 and PS1 levels. A reduction of APP levels in MCI and AD patients compared with healthy elderly individuals was found. Augmented levels of ADAM-10 in both MCI and AD were displayed in comparison with age-matched control subjects. The ratio ADAM-10/BACE1 was higher for the MCI group versus AD group. Whereas BACE1 and PS1 levels were only increased in AD regarding to controls, BACE1 and γ-secretase activities augmented significantly in both MCI and AD groups. Finally, differences and similarities between MCI and AD patients were observed in several markers of platelet APP processing. Larger sample sets from diverse populations need to be analyzed to define a signature for the presence of MCI or AD pathology and to early detect AD at the MCI stage.

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Year:  2013        PMID: 23575575     DOI: 10.1007/s11064-013-1039-7

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  57 in total

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Authors:  M Shoji; T E Golde; J Ghiso; T T Cheung; S Estus; L M Shaffer; X D Cai; D M McKay; R Tintner; B Frangione
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Review 8.  Recent Evidence in Epigenomics and Proteomics Biomarkers for Early and Minimally Invasive Diagnosis of Alzheimer's and Parkinson's Diseases.

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