Evidence map›Paper›PMID 30988716›Full record

ArticleExperimental and therapeutic medicine2019

Identification of atherosclerosis-related prioritizing metabolites based on a multi-omics composite network.

Jun-Qiang Cao, Cai-Xia Li, Ru-Yi Wang, Jin-Jin Chen, Shu-Mei Ma, Wen-Ying Wang, Li-Jun Meng

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jun-Qiang CaoDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Cai-Xia LiDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Ru-Yi WangDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Jin-Jin ChenDepartment of Anesthesiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Shu-Mei MaDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Wen-Ying WangDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.
Li-Jun MengDepartment of Cardiology, Binzhou City Center Hospital, Binzhou, Shandong 251700, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are the final products of cellular regulation processes, their level is the ultimate response of biological systems to environmental and genetic changes. Therefore, the identification of key metabolites is required for the diagnosis and therapy of diseases. In this study, atherosclerosis-related gene expression profile information was extracted from ArrayExpress database (GEOD-57691), and analyzed with limma package. Furthermore, we constructed an intricate multi-omics network involved in genes, phenotypes, metabolites and their associations. To identify the prioritization of atherosclerosis-related metabolites, the relation score of each metabolite in the composite network was computed with the random walk with restart (RWR) method. The top 50 metabolites and top 100 genes were chosen based on the score in the weighted composite network. Consequently, several key metabolites that were ranked in the top 5 of relation score or degree greater than 70 were confirmed. Particularly, metabolites Tretinoin and Estraderm not only have high relation scores, but also contain more degrees. Moreover, we obtained 24 co-expression genes that may be regarded as the targets of atherosclerosis therapy. Therefore, identification of metabolite prioritizations by the composite network integrated the information of genes, phenotypes and metabolites may be available to diagnose atherosclerosis, and can provide the potential therapeutic strategies for atherosclerosis.

Indexed as

atherosclerosismetabolitemRNAmulti-omics composite network

Identifiers

PMID30988716
PMCPMC6447794

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