4.6 Article

Molecular and functional signatures in a novel Alzheimer's disease mouse model assessed by quantitative proteomics

期刊

MOLECULAR NEURODEGENERATION
卷 13, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13024-017-0234-4

关键词

Alzheimer's disease; Animal disease model; A beta; Tau; Quantitative proteomics; 10-plex tandem mass tag

资金

  1. National Research Foundation [20110030740, 2017M3C9A5031597]
  2. NRF [2015R1A2A1A05001794, 2014M3C7A1046047, 2015M3C7A1028790]
  3. MRC [2011-0030738]
  4. BK21-plus education program by National Research Foundation of Korea

向作者/读者索取更多资源

Background: Alzheimer's disease (AD), the most common neurodegenerative disorder, is characterized by the deposition of extracellular amyloid plaques and intracellular neurofibrillary tangles. To understand the pathological mechanisms underlying AD, developing animal models that completely encompass the main features of AD pathologies is indispensable. Although mouse models that display pathological hallmarks of AD (amyloid plaques, neurofibrillary tangles, or both) have been developed and investigated, a systematic approach for understanding the molecular characteristics of AD mouse models is lacking. Methods: To elucidate the mechanisms underlying the contribution of amyloid beta (A beta) and tau in AD pathogenesis, we herein generated a novel animal model of AD, namely the AD-like pathology with amyloid and neurofibrillary tangles (ADLP(APT)) mice. The ADLP(APT) mice carry three human transgenes, including amyloid precursor protein, presenilin-1, and tau, with six mutations. To characterize the molecular and functional signatures of AD in ADLP(APT) mice, we analyzed the hippocampal proteome and performed comparisons with individual-pathology transgenic mice (i.e., amyloid or neurofibrillary tangles) and wild-type mice using quantitative proteomics with 10-plex tandem mass tag. Results: The ADLP(APT) mice exhibited accelerated neurofibrillary tangle formation in addition to amyloid plaques, neuronal loss in the CA1 area, and memory deficit at an early age. In addition, our proteomic analysis identified nearly 10,000 protein groups, which enabled the identification of hundreds of differentially expressed proteins (DEPs) in ADLP(APT) mice. Bioinformatics analysis of DEPs revealed that ADLP(APT) mice experienced age-dependent active immune responses and synaptic dysfunctions. Conclusions: Our study is the first to compare and describe the proteomic characteristics in amyloid and neurofibrillary tangle pathologies using isobaric label-based quantitative proteomics. Furthermore, we analyzed the hippocampal proteome of the newly developed ADLP(APT) model mice to investigate how both A beta and tau pathologies regulate the hippocampal proteome. Because the ADLP(APT) mouse model recapitulates the main features of AD pathogenesis, the proteomic data derived from its hippocampus has significant utility as a novel resource for the research on the A beta-tau axis and pathophysiological changes in vivo.

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