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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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CRISPR-Cas9 gene editing for the long-term control of essential hypertension: preclinical advances and clinical perspectives

Authors: Omonova Umida; Navruzova Shakar; Rahmatov Alizot; Kuldasheva Shakhnoza; Avezova Guloyim; Usanov Mekhriddin; Yusupov Bakhtiyor; +1 Authors

CRISPR-Cas9 gene editing for the long-term control of essential hypertension: preclinical advances and clinical perspectives

Abstract

In this preclinical study, the safety and effectiveness of CRISPR-Cas9 genome editing technology for the long-term treatment of essential hypertension were evaluated in animal models. Through targeting the key genes involved in hypertension pathogenesis (ACE, AGT and NR3C2) by delivering nanocarriers encapsulating CRISPR constructs, a sustained and significant systolic blood pressure reduction (>32 mmHg) was observed up to 16 weeks after the treatment. Apart from hemodynamic parameter stabilization, this approach resulted in 51% improvement of glomerular filtration rate, two-fold sodium excretion and 68% reduction of proteinuria. Histological evaluation showed 66-77% reduction of target organ damage (kidney, heart, and blood vessels). Gene editing efficiency in kidney tissue was 92.4% and off-target effects were quantified at less than 0.15%. These findings report the therapeutic potential of this technology as a single-dose, long-term therapeutic strategy that can reduce the global burden of uncontrolled hypertension, though future studies should be aimed at tissue delivery optimization and long-term toxicity testing.

Keywords

CRISPR-Cas9 system, essential hypertension, gene therapy, animal models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
Green