Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/anie.201008194 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Synchronous Interference of Dual Metabolic Pathways Mediated by HS Gas/GOx for Augmenting Tumor Microwave Thermal Therapy.
ACS Appl Mater Interfaces
January 2025
Key Laboratory of Cryogenics Science and Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Laboratory of Controllable Preparation and Application of Nanomaterials, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
Sublethal tumor cells have an urgent need for energy, making it common for them to switch metabolic phenotypes between glycolysis and oxidative phosphorylation (OXPHOS) for compensatory energy supply; thus, the synchronous interference of dual metabolic pathways for limiting energy level is essential in inhibiting sublethal tumor growth. Herein, a multifunctional nanoplatform of Co-MOF-loaded anethole trithione (ADT) and myristyl alcohol (MA), modified with GOx and hyaluronic acid (HA) was developed, namely, CAMGH. It could synchronously interfere with dual metabolic pathways including glycolysis and OXPHOS to restrict the adenosine triphosphate (ATP) supply, achieving the inhibition to sublethal tumors after microwave (MW) thermal therapy.
View Article and Find Full Text PDFSelf-Sustained Biophotocatalytic Nano-Organelle Reactors with Programmable DNA Switches for Combating Tumor Metastasis.
Adv Mater
January 2025
Key Laboratory of Marine Drugs, Chinese Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, P. R. China.
Metastasis, the leading cause of mortality in cancer patients, presents challenges for conventional photodynamic therapy (PDT) due to its reliance on localized light and oxygen application to tumors. To overcome these limitations, a self-sustained organelle-mimicking nanoreactor is developed here with programmable DNA switches that enables bio-chem-photocatalytic cascade-driven starvation-photodynamic synergistic therapy against tumor metastasis. Emulating the compartmentalization and positional assembly strategies found in living cells, this nano-organelle reactor allows quantitative co-compartmentalization of multiple functional modules for the designed self-illuminating chemiexcited PDT system.
View Article and Find Full Text PDFParallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems.
Sensors (Basel)
January 2025
Computer-Aided Design and Test (CADT) Research Group, McMaster University, Hamilton, ON L8S 4L8, Canada.
A parallelized field-programmable gate array (FPGA) architecture is proposed to realize an ultra-fast, compact, and low-cost dual-channel ultra-wideband (UWB) pulsed-radar system. This approach resolves the main shortcoming of current FPGA-based radars, namely their low processing throughput, which leads to a significant loss of data provided by the radar receiver. The architecture is integrated with an in-house UWB pulsed radar operating at a sampling rate of 20 gigasamples per second (GSa/s).
View Article and Find Full Text PDFResearch Progress in Fiber Bragg Grating-Based Ocean Temperature and Depth Sensors.
Sensors (Basel)
December 2024
College of Physics and Electronic Engineering, Hainan Normal University, Haikou 571158, China.
Fiber Bragg gratings (FBGs) are widely used in stress and temperature sensing due to their small size, light weight, high resistance to high temperatures, corrosion, electromagnetic interference, and low cost. In recent years, various structural enhancements and sensitization to FBGs have been explored to improve the performance of ocean temperature and depth sensors, thereby enhancing the accuracy and detection range of ocean temperature and depth data. This paper reviews advancements in temperature, pressure, and dual-parameter enhancement techniques for FBG-based sensors.
View Article and Find Full Text PDFSynchronous Analysis of Speech Production and Lips Movement to Detect Parkinson's Disease Using Deep Learning Methods.
Diagnostics (Basel)
December 2024
GITA Lab., Faculty of Engineering, University of Antioquia, Medellín 050010, Colombia.
Background/objectives: Parkinson's disease (PD) affects more than 6 million people worldwide. Its accurate diagnosis and monitoring are key factors to reduce its economic burden. Typical approaches consider either speech signals or video recordings of the face to automatically model abnormal patterns in PD patients.
View Article and Find Full Text PDFWant 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!