Identifying potential functional lncRNAs in metabolic syndrome by constructing a lncRNA-miRNA-mRNA network

Area of Science:

• Genetics and Genomics
• Molecular Biology
• Metabolic Diseases Research

Background:

• Metabolic syndrome (MS) is a complex condition increasing mortality, with long non-coding RNAs (lncRNAs) implicated in metabolic diseases.
• The specific regulatory roles of lncRNAs in MS remain largely unexplored.

Purpose of the Study:

• To identify novel long non-coding RNAs (lncRNAs) associated with metabolic syndrome (MS).
• To elucidate the regulatory network involving lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) in MS pathogenesis.

Main Methods:

• Construction of a lncRNA-miRNA-mRNA network (LMMN) integrating MS-associated genes and interaction data.
• Analysis of LMMN topological properties to predict key lncRNAs.
• Validation of predicted lncRNA and mRNA expression using RT-qPCR in MS patients.

Main Results:

• The lncRNA XIST was identified as a crucial node in the LMMN for MS.
• Expression analysis revealed decreased XIST and PTEN, and increased miR-214-3p in MS patients' PBMCs.
• XIST showed negative correlation with serum C peptide, and PTEN with BMI in MS patients.

Conclusions:

• This study highlights XIST as a potential regulatory lncRNA in metabolic syndrome.
• The findings provide a foundation for understanding lncRNA roles in MS and developing targeted therapies.