Literature DB >> 20619502

MicroRNA-16 targets amyloid precursor protein to potentially modulate Alzheimer's-associated pathogenesis in SAMP8 mice.

Wei Liu1, Chang Liu, Jingxi Zhu, Pengcheng Shu, Bin Yin, Yanhua Gong, Boqin Qiang, Jiangang Yuan, Xiaozhong Peng.   

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder mainly characterized by amyloid-beta (Aβ) deposition and neurofibrillary tangles (NFTs). The abnormal enrichment of amyloid protein precursor (APP) leads to a high risk of AD. One of the plausible age-associated AD animal models, senescence-accelerated mouse prone 8 (SAMP8), have age-related learning and memory deficits. We found APP protein significantly increased in the hippocampus of aged SAMP8 mice. The 20 to 25 nucleotide (nt) tiny regulators, known as micro ribonucleic acids (miRNAs), have been found to play crucial roles in neurodegenerative diseases. Here, we examined the post-transcriptional regulation mechanism of APP mediated by micro ribonucleic acids and found that miR-16 was one of the post-transcriptional regulators of APP in SAMP8 mice. Overexpression of miR-16, both in vitro and in vivo, led to reduced APP protein expression. Furthermore, miR-16 and APP displayed complementary expression patterns in SAMP8 mice and BALb/c mice embryos. Taken together, these findings demonstrate that APP is a target of miR-16 and the abnormally low expression of miR-16 could potentially lead to APP protein accumulation in AD mice.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20619502     DOI: 10.1016/j.neurobiolaging.2010.04.034

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  81 in total

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Review 9.  A critical evaluation of neuroprotective and neurodegenerative MicroRNAs in Alzheimer's disease.

Authors:  P Hemachandra Reddy; Sahil Tonk; Subodh Kumar; Murali Vijayan; Ramesh Kandimalla; Chandra Sekhar Kuruva; Arubala P Reddy
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Review 10.  Biomarkers in Alzheimer's disease analysis by mass spectrometry-based proteomics.

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