| Literature DB >> 36203940 |
Qi Zheng1, Glen Reid1, Michael R Eccles1, Cherie Stayner1.
Abstract
Polycystic kidney disease (PKD) is a significant cause of end-stage kidney failure and there are few effective drugs for treating this inherited condition. Numerous aberrantly expressed non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs), may contribute to PKD pathogenesis by participating in multiple intracellular and intercellular functions through post-transcriptional regulation of protein-encoding genes. Insights into the mechanisms of miRNAs and other ncRNAs in the development of PKD may provide novel therapeutic strategies. In this review, we discuss the current knowledge about the roles of dysregulated miRNAs and other ncRNAs in PKD. These roles involve multiple aspects of cellular function including mitochondrial metabolism, proliferation, cell death, fibrosis and cell-to-cell communication. We also summarize the potential application of miRNAs as biomarkers or therapeutic targets in PKD, and briefly describe strategies to overcome the challenges of delivering RNA to the kidney, providing a better understanding of the fundamental advances in utilizing miRNAs and other non-coding RNAs to treat PKD.Entities:
Keywords: autosomal dominant polycystic kidney disease; long non-coding RNAs; miRNAs; non-coding RNAs; polycystic kidney disease
Year: 2022 PMID: 36203940 PMCID: PMC9531119 DOI: 10.3389/fphys.2022.1006427
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.755
A summary of published dysregulated miRNAs in Polycystic Kidney Disease.
| microRNA | Up or down regulated | Methods used | Species/model | Experimentally validated gene target | Mechanism | References |
|---|---|---|---|---|---|---|
| miR-132-3p | up | miRNA Microarray, qPCR |
|
| oxidative stress |
|
| miR-146b-5p | up | miRNA Microarray, qPCR | PKD/Mhm heterozygous (cy/+) rats | N/A | N/A |
|
| miR-1587-5p, and miR-3911-5p | down | qPCR | human ADPKD serum | N/A | N/A |
|
| miR-16-5p | up | qPCR | human ADPKD plasma | N/A | N/A |
|
| miR-17–92 family | up | miRNA Microarray, | human ADPKD kidney tissue; |
| mitochondrial metabolism, proliferation |
|
| miR-182-5p | up | miRNA Microarray, qPCR, miRNA-seq | ADPKD cyst-lined epithelial cells; |
| fibrosis via TGF-β1/Smad3 signaling pathway, cytoskeleton rearrangement |
|
| miR-192-5p, miR-194-5p | down | qPCR, | human ADPKD kidney tissue, human ADPKD urinary exosomes; |
| EMT |
|
| miR-193b-3p | down | miRNA Microarray, qPCR | human cystic cell line OX161, OX938, SKI-001, and SKI-002 |
| proliferation |
|
| miR-199a-5p | up | miRNA Microarray, qPCR | human ADPKD kidney tissue; Han: SPRD cystic rats, PKD/Mhm heterozygous (cy/+) rats; human cystic cell line OX161 and WT9-12 |
| apoptosis |
|
| miR-200 cluster (miR-200a-3p, miR-200b-3p, and miR-429-3p) | down | qPCR | Mouse renal epithelial cells (53A cells) that express dominant-negative mutant | N/A | N/A |
|
| miR-200b-3p, miR-200c-3p, and miR-429-3p | up | qPCR | exosomes from mouse PH2 cells and | N/A | proliferation |
|
| miR-21-5p | up | miRNA Microarray, qPCR | human ADPKD kidney tissue, human ADPKD serum; |
| apoptosis |
|
| miR-214-3p | up | miRNA Microarray, qPCR, and |
|
| inflammation |
|
| miR-25-3p | up | qPCR | human ADPKD serum; |
| autophagy |
|
| miR-29b-5p, miR-106a-5p | down | miRNA seq |
|
| proliferation |
|
| miR-30a-5p, and miR-30e-5p | down | small RNA-seq | human ADPKD urinary exosomes | N/A | N/A |
|
| miR-30d-5p | down | small RNA-seq, miRNA PCR Array | human ADPKD urinary exosomes; peri-cystic local microenvironment of | N/A | N/A |
|
| miR-378a-3p, and miR-344f-5p | down | miRNA PCR Array | peri-cystic local microenvironment of | N/A | N/A |
|
| miR-3907-3p, and miR-92a-3p | up | qPCR | human ADPKD serum | N/A | N/A |
|
| miR-501-5p | up | miRNA Microarray, qPCR | human ADPKD kidney tissue; human cystic cell line WT9–7 and WT9-12 | N/A | p53 proteasome degradation through the activation of the mTOR/MDM2 pathway |
|
| miR-503-5p, and miR-34a-5p | up | miRNA Microarray | PKD/Mhm heterozygous (cy/+) rats | N/A | N/A |
|
| miR-667-3p, miR-3074-5p, and miR-7b-3p | up | miRNA PCR Array | peri-cystic local microenvironment of | N/A | N/A |
|
Abbreviations: EMT, epithelial-mesenchymal transition; qPCR, quantitative reverse transcription polymerase chain reaction; miR, microRNA gene; N/A, not available; small RNA-Seq, small RNA sequencing.
FIGURE 1Strategies for miRNA/anti-miR delivery to kidney, which include pharmacological modification of miRNAs/anti-miRs, and vehicles/carriers embedding miRNAs/anti-miRs. Pharmacological modification: 1) chemical modifications such as phosphorothioate (PS) (Yheskel et al., 2019), 2ʹ-O-methyl (Straarup et al., 2010), and locked nucleic acid (Lendvai et al., 2005) all result in a high kidney uptake through intravenous injection. 2) Bioconjugates can address some oligonucleotide delivery challenges, such as improving biodistribution to a specific region or cell type (e.g., antibodies, DNA tetrahedrons) (Benizri et al., 2019), promoting endosomal escape (e.g., CPP) (Miguel et al., 2020), increasing receptor-mediated transport (e.g., GalNAc), and/or improving ability to cross cell and endosomal membranes (e.g., pHLIP). (Rohde et al., 2015; Wagner, 2015). Delivery vehicles or carriers comprise two main methods. 1) exosomes derived from various cell types, like mesenchymal stem cells, have the potential to be drug carriers for ncRNAs or oligonucleotides due to their stability, minimal immune response, and editable surface with various RNAs loading strategies including diffusion via a concentration gradient, transfection, or physical treatments like electroporation, which can also expand the cargo loading capability of exosomes (Jin et al., 2021). 2) Nanoparticles, which refer to a stable structure with a protective layer that can encapsulate and protect inner agents, and be modified with ligands or antibodies on their surface for kidney-specific targeting at a nano scale, have the potential to improve the pharmacokinetics, biodistribution, toxicity, and efficacy of encapsulated drugs: 1) inorganic system like pSi and magnetic particles (Tsai et al., 2019); 2) polymeric system including synthetic polymerics like polymeric CXCR4 inhibitors (Tang et al., 2022) and natural polymers such as chitosan (Chen et al., 2019); 3) lipid-based system (Su et al., 2022); 4) carbon-nanotubes (Alidori et al., 2016). LNA = locked nucleic acid; CPP = cell penetrating peptide; GalNAc = N-acetylgalactosamine; pHLIP = pH (low) insertion peptides. Created with Biorender.com.