Microarray analysis of long noncoding RNA expression patterns in diabetic nephropathy

Aims: Long noncoding RNAs (IncRNAs) are implicated in various biological processes and human diseases. Diabetic nephropathy (DN) is the leading cause of end-stage renal disease (ESRD). We explored the potential functions of IncRNAs in DN. Methods: We established a mouse model of DN and compared IncRNA expression patterns between DN model and db/m control mouse kidney tissues using microarray analysis. IncRNA function was predicted by gene ontology enrichment and KEGG pathway analyses of IncRNAs-coexpressed mRNAs. Quantitative reverse-transcription PCR was used for validation. Cis- and trans-regulation analyses were conducted to reveal potential relationships between IncRNAs and their target genes. Results: In DN, 311 IncRNAs were dysregulated. LncRNA-coexpressed mRNAs were mainly targeted to golgi apparatus (ontology: cellular component), catalytic activity (ontology: molecular function), and mitotic nuclear division (ontology: biological process), and were mostly enriched in glutathione metabolism signaling. One hundred forty-seven IncRNAs were regarded as cis-regulatory. Several groups of IncRNAs may participate in biological pathways related to DN via trans-regulation of protein-coding genes. Conclusion: Hundreds of IncRNAs are dysregulated in DN. These IncRNAs might be involved in the pathogenesis of DN by modulating multiple molecular pathways. Our findings provide potential candidate biomarkers for predicting or diagnosing DN. (C) 2016 Elsevier Inc. All rights reserved.