ncRNA2MetS: a manually curated database for non-coding RNAs associated with metabolic syndrome

Metabolic syndrome is a cluster of the most dangerous heart attack risk factors (diabetes and raised fasting plasma glucose, abdominal obesity, high cholesterol and high blood pressure), and has become a major global threat to human health. A number of studies have demonstrated that hundreds of non-...

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Bibliographic Details
Published in:PeerJ (San Francisco, CA) CA), 2019-10, Vol.7, p.e7909-e7909, Article e7909
Main Authors: Yao, Dengju, Zhan, Xiaojuan, Zhan, Xiaorong, Kwoh, Chee Keong, Sun, Yuezhongyi
Format: Article
Language:English
Subjects:
Analysis
Anopheles
Bioinformatics
Blood pressure
Cholesterol
Computational Biology
Development and progression
Diabetes
Diabetes and Endocrinology
Diabetes mellitus (non-insulin dependent)
Dietary fiber
Diseases
Fasting
Gene expression
Genomics
Glucose
Health aspects
Heart attack
Heart attacks
Hypertension
lncRNA
Metabolic disorders
Metabolic Sciences
Metabolic syndrome
Metabolites
MicroRNA
MicroRNAs
miRNA
Myocardial infarction
Non-coding RNA
Obesity
Pathogenesis
Risk factors
RNA
Type 2 diabetes
Web sites (World Wide Web)
Websites
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Items that cite this one
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Summary:Metabolic syndrome is a cluster of the most dangerous heart attack risk factors (diabetes and raised fasting plasma glucose, abdominal obesity, high cholesterol and high blood pressure), and has become a major global threat to human health. A number of studies have demonstrated that hundreds of non-coding RNAs, including miRNAs and lncRNAs, are involved in metabolic syndrome-related diseases such as obesity, type 2 diabetes mellitus, hypertension, etc. However, these research results are distributed in a large number of literature, which is not conducive to analysis and use. There is an urgent need to integrate these relationship data between metabolic syndrome and non-coding RNA into a specialized database. To address this need, we developed a metabolic syndrome-associated non-coding RNA database (ncRNA2MetS) to curate the associations between metabolic syndrome and non-coding RNA. Currently, ncRNA2MetS contains 1,068 associations between five metabolic syndrome traits and 627 non-coding RNAs (543 miRNAs and 84 lncRNAs) in four species. Each record in ncRNA2MetS database represents a pair of disease-miRNA (lncRNA) association consisting of non-coding RNA category, miRNA (lncRNA) name, name of metabolic syndrome trait, expressive patterns of non-coding RNA, method for validation, specie involved, a brief introduction to the association, the article referenced, etc. We also developed a user-friendly website so that users can easily access and download all data. In short, ncRNA2MetS is a complete and high-quality data resource for exploring the role of non-coding RNA in the pathogenesis of metabolic syndrome and seeking new treatment options. The website is freely available at
ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.7909