ArticleBMC medical genomics2019
Context-sensitive network analysis identifies food metabolites associated with Alzheimer's disease: an exploratory study.
Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Synthesize heterogeneous biological knowledge via representation learning for Alzheimer's disease drug repurposing.iScience · 2023Article
- A CHCHD6-APP axis connects amyloid and mitochondrial pathology in Alzheimer's disease.Acta neuropathologica · 2022Article
- Applied machine learning in Alzheimer's disease research: omics, imaging, and clinical data.Emerging topics in life sciences · 2021Review
- Gut-microbiota-microglia-brain interactions in Alzheimer's disease: knowledge-based, multi-dimensional characterization.Alzheimer's research & therapy · 2021Article
- Combining phenome-driven drug-target interaction prediction with patients' electronic health records-based clinical corroboration toward drug discovery.Bioinformatics (Oxford, England) · 2020Article
- Data-driven multiple-level analysis of gut-microbiome-immune-joint interactions in rheumatoid arthritis.BMC genomics · 2019Article
- The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics meets medicine.BMC medical genomics · 2019Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDiet plays an important role in Alzheimer's disease (AD) initiation, progression and outcomes. Previous studies have shown individual food-derived substances may have neuroprotective or neurotoxic effects. However, few works systematically investigate the role of food and food-derived metabolites on the development and progression of AD.
methodsIn this study, we systematically investigated 7569 metabolites and identified AD-associated food metabolites using a novel network-based approach. We constructed a context-sensitive network to integrate heterogeneous chemical and genetic data, and to model context-specific inter-relationships among foods, metabolites, human genes and AD.
resultsOur metabolite prioritization algorithm ranked 59 known AD-associated food metabolites within top 4.9%, which is significantly higher than random expectation. Interestingly, a few top-ranked food metabolites were specifically enriched in herbs and spices. Pathway enrichment analysis shows that these top-ranked herb-and-spice metabolites share many common pathways with AD, including the amyloid processing pathway, which is considered as a hallmark in AD-affected brains and has pathological roles in AD development.
conclusionsOur study represents the first unbiased systems approach to characterizing the effects of food and food-derived metabolites in AD pathogenesis. Our ranking approach prioritizes the known AD-associated food metabolites, and identifies interesting relationships between AD and the food group "herbs and spices". Overall, our study provides intriguing evidence for the role of diet, as an important environmental factor, in AD etiology.
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