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Updated: May 6, 2026

Detection of MicroRNA Expression in the Kidneys of Immunoglobulin A Nephropathic Mice
Published on: July 8, 2020
Massive analysis of cDNA Ends (MACE) and miRNA expression profiling identifies proatherogenic pathways in chronic
Adam M Zawada1, Kyrill S Rogacev1, Sören Müller2
1Department of Internal Medicine IV; Saarland University Medical Center; Homburg, Germany.
Insights
This study identifies 182 differentially expressed microRNAs (miRNAs) in hemodialysis patients, linking epigenetic changes to cardiovascular disease (CVD) in chronic kidney disease (CKD). These findings highlight potential therapeutic targets for CKD-associated CVD.
Area of Science:
- Epigenetics and Molecular Biology
- Cardiovascular Medicine
- Nephrology
Background:
- Chronic kidney disease (CKD) is associated with a high burden of cardiovascular disease (CVD).
- Epigenetic dysregulation, particularly involving microRNAs (miRNAs), is implicated in disease pathogenesis.
- Limited data exist on miRNA dysregulation in CKD-associated CVD.
Purpose of the Study:
- To investigate miRNA expression profiles in patients with CKD undergoing hemodialysis (HD).
- To identify differentially expressed miRNAs and their target genes associated with CVD.
- To explore the biological relevance of miRNA dysregulation in CKD-associated CVD.
Main Methods:
- High-throughput miRNA sequencing of peripheral blood mononuclear cells from HD patients and healthy controls.
- Genome-wide gene expression profiling using Massive Analysis of cDNA Ends (MACE).
- Bioinformatic analysis including interaction network analysis to link miRNAs and target genes.
Main Results:
- Identified 182 differentially expressed miRNAs between HD patients and controls.
- Identified 80 differentially expressed genes linked to CVD, infection, and proatherogenic pathways (e.g., Toll-like receptor, MAPK, chemokine signaling).
- Established connections between 68 dysregulated miRNAs and 47 reciprocally expressed target genes.
Conclusions:
- This is the first comprehensive miRNA analysis in CKD linking dysregulated miRNA expression to differential gene expression in CVD and inflammation.
- The findings provide a foundation for understanding the role of miRNAs in CKD-associated CVD.
- Suggests potential for miRNA-based therapeutic strategies for human CKD-associated CVD.
Abstract:
Epigenetic dysregulation contributes to the high cardiovascular disease burden in chronic kidney disease (CKD) patients. Although microRNAs (miRNAs) are central epigenetic regulators, which substantially affect the development and progression of cardiovascular disease (CVD), no data on miRNA dysregulation in CKD-associated CVD are available until now. We now performed high-throughput miRNA sequencing of peripheral blood mononuclear cells from ten clinically stable hemodialysis (HD) patients and ten healthy controls, which allowed us to identify 182 differentially expressed miRNAs (e.g., miR-21, miR-26b, miR-146b, miR-155). To test biological relevance, we aimed to connect miRNA dysregulation to differential gene expression. Genome-wide gene expression profiling by MACE (Massive Analysis of cDNA Ends) identified 80 genes to be differentially expressed between HD patients and controls, which could be linked to cardiovascular disease (e.g., KLF6, DUSP6, KLF4), to infection / immune disease (e.g., ZFP36, SOCS3, JUND), and to distinct proatherogenic pathways such as the Toll-like receptor signaling pathway (e.g., IL1B, MYD88, TICAM2), the MAPK signaling pathway (e.g., DUSP1, FOS, HSPA1A), and the chemokine signaling pathway (e.g., RHOA, PAK1, CXCL5). Formal interaction network analysis proved biological relevance of miRNA dysregulation, as 68 differentially expressed miRNAs could be connected to 47 reciprocally expressed target genes. Our study is the first comprehensive miRNA analysis in CKD that links dysregulated miRNA expression with differential expression of genes connected to inflammation and CVD. After recent animal data suggested that targeting miRNAs is beneficial in experimental CVD, our data may now spur further research in the field of CKD-associated human CVD.
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