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Integrated approach reveals diet, APOE genotype and sex affect immune response in APP mice

ABSTRACT: Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder that is influenced by genetic and environmental risk factors, such as inheritance of ε4 allele of APOE (APOE4), sex and diet. Here, we examined the effect of high fat diet (HFD) on amyloid pathology and expression profile in brains of AD model mice expressing human APOE isoforms (APP/E3 and APP/E4 mice). APP/E3 and APP/E4 mice were fed HFD or Normal diet for 3 months. We found that HFD significantly increased amyloid plaques in male and female APP/E4, but not in APP/E3 mice. To identify differentially expressed genes and gene-networks correlated to diet, APOE isoform and sex, we performed RNA sequencing and applied Weighted Gene Co-expression Network Analysis. We determined that the immune response network with major hubs Tyrobp/DAP12, Csf1r, Tlr2, C1qc and Laptm5 correlated significantly and positively to the phenotype of female APP/E4-HFD mice. Correspondingly, we found that in female APP/E4-HFD mice, microglia coverage around plaques, particularly of larger size, was significantly reduced. This suggests altered containment of the plaque growth and sex-dependent vulnerability in response to diet. The results of our study show concurrent impact of diet, APOE isoform and sex on the brain transcriptome and AD-like phenotype.

ORGANISM(S): Mus musculus

PROVIDER: GSE109152 | GEO | 2018/01/13

SECONDARY ACCESSION(S): PRJNA429790

REPOSITORIES: GEO

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Project description:Cerebrovascular dysfunction is a hallmark feature of Alzheimer's disease (AD). One of the greatest risk factor for AD is the apolipoprotein E4 (E4) allele. APOE4 genotype has been shown to negatively impact on perivascular amyloid clearance, however, its direct influence along with the other APOE variants (APOE2 and APOE3) on the molecular integrity of the cerebrovasculature has not been largely explored. To address this, we employed a 10-plex tandem isobaric mass tag approach in combination with an ultra-high pressure liquid chromatography MS/MS (Q-Exactive) method, to interrogate unbiased proteomic changes in cerebrovessels from AD and healthy control brains on different APOE genotype backgrounds. We first interrogated changes between healthy control homozygote E2/E2, E3/E3 and E4/E4 cases to identify underlying genotype specific effects on cerebrovessels. EIF2 signaling, regulation of eIF4 and 70S6K signaling and mTOR signaling were the top significantly altered pathways in E4/E4 compared to E3/E3 cases. EIF2, nitric oxide and sirtuin signaling pathways were the top significantly altered pathways in E4/E4 compared to E2/E2 cases. We used a Two-way ANOVA analysis to identify AD-dependent changes and their interactions with APOE genotype. The highest number of significantly regulated proteins from this interaction was observed in E3/E4 (192) and E4/E4 (189) cases. As above, EIF2, mTOR signaling and eIF4 and 70S6K signaling were the top three significantly altered pathways in E4 allele carriers (i.e. E3/E4 and E4/E4 genotypes). Of all the cerebrovascular cell specific markers identified in our proteomic analyses, endothelial cell, astrocyte, and smooth muscle cell specific protein markers were significantly altered in E4/E4 cases, while endothelial cells and astrocyte specific protein markers were altered in E3/E4 cases. These proteomic changes provide novel insights to explain the longstanding link between APOE4 and cerebrovascular dysfunction. The early and converging APOE4 dependent changes we identified could provide novel targets in the cerebrovasculature for developing disease modifying strategies to mitigate the effects of APOE4 genotype on increasing the risk for, and the path towards AD pathogenesis.

Project description:Kyrtsos2011 - A systems biology model for Alzheimer's disease (Cholesterol in AD) Encoded non-curated model. Issues: - Confusing HmgCoA differential equation - Confusing d2 and t1 parameters - Lack of initial values for several key species This model is described in the article: Of Mice and Math: A Systems Biology Model for Alzheimer's disease Kyrtsos, Christina Rose UMD Theses and Dissertations Abstract: Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder in the US, affecting over 1 in 8 people over the age of 65. There are several well-known pathological changes in the brains of AD patients, namely: the presence of diffuse beta amyloid plaques derived from the amyloid precursor protein (APP), hyper-phosphorylated tau protein, neuroinflammation and mitochondrial dysfunction. Recent studies have shown that cholesterol levels in both the plasma and the brain may play a role in disease pathogenesis, however, this exact role is not well understood. Additional proteins of interest have also been identified (ApoE, LRP-1, IL-1) as possible contributors to AD pathogenesis. To help understand these roles better, a systems biology mathematical model was developed. Basic principles from graph theory and control analysis were used to study the effect of altered cholesterol, ApoE, LRP and APP on the system as a whole. Negative feedback regulation and the rate of cholesterol transfer between astrocytes and neurons were identified as key modulators in the level of beta amyloid. Experiments were run concurrently to test whether decreasing plasma and brain cholesterol levels with simvastatin altered the expression levels of beta amyloid, ApoE, and LRP-1, to ascertain the edge directions in the network model and to better understand whether statin treatment served as a viable treatment option for AD patients. The work completed herein represents the first attempt to create a systems-level mathematical model to study AD that looks at intercellular interactions, as well as interactions between metabolic and inflammatory pathways. This model is hosted on BioModels Database and identified by: MODEL1504240000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Integrated approach reveals diet, APOE genotype and sex affect immune response in APP mice

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