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 http://www.biomed-bigdata.com:50020/index.html.