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Updated: Dec 1, 2025

Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
Published on: November 30, 2016
Co‑expression network analysis identified specific miRNAs and genes in association with slow‑transit constipation
Chaoran Yu1, Lu Zang1, Bo Feng1
1Department of Gastrointestinal Surgery, Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, P.R. China.
This study identifies key microRNAs (miRNAs) and their target genes involved in slow-transit constipation (STC) pathogenesis. The findings illuminate potential molecular mechanisms underlying STC, offering new avenues for research into this condition.
Area of Science:
- Gastroenterology and Molecular Biology
- Bioinformatics and Genomics
Background:
- The underlying mechanisms of slow-transit constipation (STC) are not fully understood.
- The specific roles of microRNAs (miRNAs) in STC pathogenesis require further investigation.
Purpose of the Study:
- To elucidate the potential molecular mechanisms of STC by analyzing miRNA co-expression networks.
- To identify key miRNAs, their target genes, and associated pathways in STC.
Main Methods:
- Weighted gene correlation network analysis (WGCNA) was applied to miRNA expression profiles of STC patients.
- Functional enrichment analysis using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) was performed.
- Protein-Protein Interaction (PPI) network construction and module analysis were conducted.
Main Results:
- Seven key miRNAs (hsa-miR-20b, hsa-miR-128, hsa-miR-129-3p, hsa-miR-30b, hsa-miR-340, hsa-miR-619, hsa-miR-486-3p) and 2,077 target genes were identified.
- Enriched GO terms included 'protein modification process' and 'nucleoplasm', while the top KEGG pathway was 'cAMP signalling pathway'.
- Hub genes in the PPI network included CALM1, CALM2, and HDAC3, among others.
Conclusions:
- Co-expressed miRNA networks reveal significant genes and pathways implicated in STC.
- This bioinformatics analysis provides novel insights into the molecular basis of STC.
- The identified miRNAs and pathways represent potential targets for future STC research and therapeutic strategies.
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