原卟啉ix负载白蛋白纳米颗粒通过增强细胞内活性氧逆转癌症化疗耐药

IF 4.7 4区 医学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Xiaolin Xu PhD , Chenglong Wang PhD , Wencai Guan BSc , Fanchen Wang MSc , Xin Li MSc , Jia Yuan BSc , Guoxiong Xu MD, PhD
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引用次数: 1

摘要

化疗耐药是卵巢癌化疗失败的主要原因。硫氧还蛋白系统对活性氧(ROS)的清除能力增强,导致细胞内有效ROS浓度不足,从而导致化学耐药。为了通过提高细胞内ROS水平诱导OC细胞凋亡,利用原卟啉IX (PpIX)和白蛋白结合的PTX纳米颗粒(APNP)制备了APNP-PpIX纳米颗粒。APNP-PpIX在化疗耐药癌细胞中有效生成ROS,并增加ROS的有效浓度。体外和体内实验证实了APNP-PpIX对化疗耐药OC细胞增殖和肿瘤形成的有效抑制。APNP-PpIX显著提高了化疗和光动力治疗的有效性,为化疗耐药OC的临床治疗提供了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Protoporphyrin IX-loaded albumin nanoparticles reverse cancer chemoresistance by enhancing intracellular reactive oxygen species

Protoporphyrin IX-loaded albumin nanoparticles reverse cancer chemoresistance by enhancing intracellular reactive oxygen species

Chemoresistance is the main cause of chemotherapy failure in ovarian cancer (OC). The enhanced scavenging of reactive oxygen species (ROS) by the thioredoxin system resulted in insufficient intracellular concentrations of effective ROS, leading to chemoresistance. To induce OC cell apoptosis by enhancing intracellular ROS levels, protoporphyrin IX (PpIX) and albumin-bound PTX nanoparticles (APNP) were utilized to fabricate APNP-PpIX nanoparticles. APNP-PpIX effectively generated ROS and increased the effective ROS concentration in chemoresistant cancer cells. The in vitro and in vivo experiments confirmed the effective inhibition of APNP-PpIX on chemoresistant OC cell proliferation and tumor formation. APNP-PpIX significantly improved the effectiveness of chemotherapy and photodynamic therapy, thus providing a new approach for the clinical treatment of chemoresistant OC.

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来源期刊
CiteScore
8.10
自引率
3.60%
发文量
104
审稿时长
4.6 months
期刊介绍: Nanomedicine: Nanotechnology, Biology and Medicine (NBM) is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.
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