Kim-1 Targeted Extracellular Vesicles: A New Therapeutic Platform for RNAi to Treat AKI.
basic_science · Level V
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- Record sourced from PubMed, PMID 34127536.
- Also identified by DOI 10.1681/ASN.2020111561 and PMC identifier 8722800.
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Abstract
AKI is a significant public health problem with high morbidity and mortality. Unfortunately, no definitive treatment is available for AKI. RNA interference (RNAi) provides a new and potent method for gene therapy to tackle this issue. We engineered red blood cell-derived extracellular vesicles (REVs) with targeting peptides and therapeutic siRNAs to treat experimental AKI in a mouse model after renal ischemia/reperfusion (I/R) injury and unilateral ureteral obstruction (UUO). Phage display identified peptides that bind to the kidney injury molecule-1 (Kim-1). RNA-sequencing (RNA-seq) characterized the transcriptome of ischemic kidney to explore potential therapeutic targets. REVs targeted with Kim-1-binding LTH peptide (REV<sub>LTH</sub>) efficiently homed to and accumulated at the injured tubules in kidney after I/R injury. We identified transcription factors <i>P65</i> and <i>Snai1</i> that drive inflammation and fibrosis as potential therapeutic targets. Taking advantage of the established REV<sub>LTH</sub>, siRNAs targeting <i>P65</i> and <i>Snai1</i> were efficiently delivered to ischemic kidney and consequently blocked the expression of P-p65 and Snai1 in tubules. Moreover, dual suppression of <i>P65</i> and <i>Snai1</i> significantly improved I/R- and UUO-induced kidney injury by alleviating tubulointerstitial inflammation and fibrosis, and potently abrogated the transition to CKD. A red blood cell-derived extracellular vesicle platform targeted Kim-1 in acutely injured mouse kidney and delivered siRNAs for transcription factors <i>P65</i> and <i>Snai1</i>, alleviating inflammation and fibrosis in the tubules.
Medical subject headings
- Acute Kidney Injury
- Extracellular Vesicles
- Genetic Therapy
- Hepatitis A Virus Cellular Receptor 1
- Snail Family Transcription Factors
- Transcription Factor RelA