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Advancements in nanotechnology for PARP inhibitor delivery: a comprehensive review of diverse nanosystems, their mechanisms, and therapeutic applications across cancer and beyond

药物输送 纳米医学 PARP抑制剂 聚ADP核糖聚合酶 纳米技术 纳米载体 奥拉帕尼 聚合酶 材料科学 化学 纳米颗粒 DNA 生物化学
作者
Bassam M. Abualsoud,Majid Alhomrani,Abdulhakeem S. Alamri,Walaa F. Alsanie,Suhas Ballal,Girish Chandra Sharma,T. Krithiga,Abhayveer Singh,Arun Kumar,A. Deepak
出处
期刊:Journal of Biomaterials Science-polymer Edition [Taylor & Francis]
卷期号:: 1-62
标识
DOI:10.1080/09205063.2025.2534698
摘要

Poly (ADP-ribose) polymerase (PARP) inhibitors have appeared as a transformative class of anticancer agents, particularly for tumors with homologous recombination deficiencies such as BRCA1/2-mutated breast, ovarian, prostate, and pancreatic cancers. Despite their clinical success, challenges such as poor bioavailability, systemic toxicity, and acquired resistance have limited their broader application. Nanotechnology-based drug delivery systems offer a promising strategy to overcome these limitations by enhancing the solubility, stability, and tumor-specific accumulation of PARP inhibitors while reducing off-target effects. This review explores the mechanism of action of PARP inhibitors, including their role in DNA repair and synthetic lethality, and discusses their therapeutic applications. Furthermore, recent progresses in delivery systems, including lipid-based, polymeric, inorganic, and hybrid nanosystems, are examined with a focus on their design, functionality, and impact on drug efficacy. Recent studies demonstrating improved drug retention, enhanced tumor targeting, and controlled release mechanisms are highl'hted, along with potential strategies to overcome resistance. The integration of multifunctional and stimuli-responsive nanosystems further enhances the therapeutic potential of PARP inhibitors. Continued innovation in nanomedicine holds the potential to optimize PARP inhibitor therapy and expand its clinical utility in personalized cancer treatment. Future directions include addressing translational challenges, scalability, and regulatory considerations for clinical applications.
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