Evidence map›Paper›PMID 30704467›Full record

ArticleBMC medical genomics2019

Context-sensitive network analysis identifies food metabolites associated with Alzheimer's disease: an exploratory study.

Yang Chen, Rong Xu

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yang ChenDepartment of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
Rong XuDepartment of Population and Quantitative Health Science, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA. rxx@case.edu.
Case Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Rapid reverse translational drug repositioningDP2HD084068 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2014 to 2014
$2.4M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
NCATS NIH HHS UL1 TR002548NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R56 AG062272NICHD NIH HHS DP2 HD084068
6 · The paper itself

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.

Indexed as

FoodMetabolic Networks and PathwaysAlzheimer DiseaseComputational BiologyAlzheimer’s diseaseDisease preventionFood metaboliteNetwork analysis

Identifiers

PMID30704467
PMCPMC6357669
OpenAlexW2914688779

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.