Acquired multidrug resistance (MDR) has been the main cause leading to cancer therapy failure. Even though mild photothermal therapy (PTT) strategy has shown promise in overcoming tumor MDR, the detailed changing patterns of drug-resistant protein P-glycoprotein (P-gp) following photothermal treatment remains poorly understood. Herein, we utilized the iRGD-modified graphene oxide nanosheet (IPHG), a nanocarrier capable of tumor-targeted infiltration and photothermal conversion, to investigate the time-performance relationship and the associated mechanism of mild PTT-mediated P-gp regulation. For the first time we found that mild PTT could induce rapid reduction in P-gp levels within 3 h via ubiquitin-proteasome degradation. Doxorubicin (DOX)-loaded nanodrug (IPHG/DOX) was then fabricated to unveil the significance of P-gp reversal-synchronized drug release. The results exhibited that NIR-irradiated IPHG/DOX remarkably augmented intracellular DOX accumulation, increased DOX infiltration in tumor spheroids, and potentiated cytotoxicity against MCF-7/ADR cells. These novetherapys offer valuable insights into mild PTT-assisted MDR tumor therapies.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijbiomac.2025.141759DOI Listing

Publication Analysis

Top Keywords

time-performance relationship
8
relationship associated
8
associated mechanism
8
mild photothermal
8
photothermal therapy
8
mild
5
tumor
4
mechanism tumor
4
tumor drug-efflux
4
drug-efflux pump
4

Similar Publications

Rotor attitude detection (RAD) is one of the key technologies to control permanent magnet spherical motors (PMSpM). This paper proposes an improved you only look once v8n (YOLOv8n) based RAD method for a PMSpM. The visual image datasets collection and annotation method are described, and three different visual feature objects are set for the RAD.

View Article and Find Full Text PDF

Acquired multidrug resistance (MDR) has been the main cause leading to cancer therapy failure. Even though mild photothermal therapy (PTT) strategy has shown promise in overcoming tumor MDR, the detailed changing patterns of drug-resistant protein P-glycoprotein (P-gp) following photothermal treatment remains poorly understood. Herein, we utilized the iRGD-modified graphene oxide nanosheet (IPHG), a nanocarrier capable of tumor-targeted infiltration and photothermal conversion, to investigate the time-performance relationship and the associated mechanism of mild PTT-mediated P-gp regulation.

View Article and Find Full Text PDF

Improved YOLO v5s-based detection method for external defects in potato.

Front Plant Sci

February 2025

Chinese Academy of Agricultural Mechanization Sciences Croup Co., Ltd., Beijing, China.

Currently, potato defect sorting primarily relies on manual labor, which is not only inefficient but also prone to bias. Although automated sorting systems offer a potential solution by integrating potato detection models, real-time performance remains challenging due to the need to balance high accuracy and speed under limited resources. This study presents an enhanced version of the YOLO v5s model, named YOLO v5s-ours, specifically designed for real-time detection of potato defects.

View Article and Find Full Text PDF

GeoIoU-SEA-YOLO: An Advanced Model for Detecting Unsafe Behaviors on Construction Sites.

Sensors (Basel)

February 2025

College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.

Unsafe behaviors on construction sites are a major cause of accidents, highlighting the need for effective detection and prevention. Traditional methods like manual inspections and video surveillance often lack real-time performance and comprehensive coverage, making them insufficient for diverse and complex site environments. This paper introduces GeoIoU-SEA-YOLO, an enhanced object detection model integrating the Geometric Intersection over Union (GeoIoU) loss function and Structural-Enhanced Attention (SEA) mechanism to improve accuracy and real-time detection.

View Article and Find Full Text PDF

Stacking Ensemble Deep Learning for Real-Time Intrusion Detection in IoMT Environments.

Sensors (Basel)

January 2025

Department of Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.

The Internet of Medical Things (IoMT) is revolutionizing healthcare by enabling advanced patient care through interconnected medical devices and systems. However, its critical role and sensitive data make it a prime target for cyber threats, requiring the implementation of effective security solutions. This paper presents a novel intrusion detection system (IDS) specifically designed for IoMT networks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!