Early diagnosis can effectively improve the survival of glioblastoma multiforme (GBM). A specific imaging technique that is simultaneously deep penetrating and sensitive to small tissue changes is desired to identify GBM. Due to its excellent features in signal contrast, detection sensitivity, and none or little attenuation in tissue, magnetic particle imaging (MPI) possesses great potential in cancer diagnosis, especially when the imaging modality is equipped with specifically targeted nanoprobes. However, when gliomas are small, the blood-brain barrier (BBB) is complete and prevents nanoprobes from entering the brain, which negates the theranostic effect. This study proposes a biomimetic nanoplatform that assist the MPI tracers in breaking through the BBB and then demonstrate a targeted and sensitive diagnosis of GBM. Afterward, the photothermal therapy and immune regulation show an excellent therapeutic effect on the GBM. It is experimentally confirmed that the MPI signal does not decay with tissue depth and shows excellent sensitivity for thousands-cells. Only small animals are conducted in this study due to the limitations of the current commercial MPI scanner, however, this research theoretically enables large animal and human studies, which encourages a promising pathway toward the noninvasive diagnosis of early-stage GBM in clinics.
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http://dx.doi.org/10.1002/advs.202300854 | DOI Listing |
Adv Mater
December 2024
Frontiers Science Centre for High Energy Material, Advanced Technology Research Institute (Jinan), Key Laboratory of Cluster Science (Ministry of Education), Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, Advanced Research Institute of Multidisciplinary Science, School of Medical Technology, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China.
Effective intratumoral distribution of anticancer agents with good tumor penetration is of great practical importance for oncotherapy. How to break the limitation of traditional passive drug delivery relying on blood circulatory system into solid tumors remains a challenge. Herein, a light-directed self-powered nanorobot based on zirconium-based porphyrin metal-organic framework (MOF) is reported for smart delivery of chemodrug and photosensitizer for deep tumor penetration.
View Article and Find Full Text PDFJ Control Release
December 2024
Cancer Metastasis Alert and Prevention Center, and Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou, Fujian 350108, China. Electronic address:
Despite significant advances in diverse cancer treatment methods, chemotherapy remains the primary approach, and the development of chemoresistance is still a persistent problem during treatment. Here, we developed a derivative of the natural product mangiferin as a carrier for delivering chemotherapeutic drug, aiming to overcome drug resistance through a distinctive four-pronged strategy, including modulation of inflammatory tumor microenvironment (TME), induction of ferroptosis, deep tumor penetration, and the combinatory anticancer effects. After clarifying the promotion effects of the cancer associated fibroblasts (CAFs) in chemoresistance, and leveraging our previous elucidation of the anti-inflammatory and ferroptosis-inducing ability of mangiferin, we synthesized mangiferin amphiphile (MMF) and developed a self-assembled carrier-free nanomedicine, named MP, through the self-assembly of MMF and the representative chemotherapeutic drug paclitaxel (PTX).
View Article and Find Full Text PDFMethods Mol Biol
December 2024
Kanagawa Institute of Industrial Science and Technology, Kawasaki-shi, Kanagawa, Japan.
Red light penetrates deep into mammalian tissues and has low phototoxicity. We developed a red light-activatable photoswitch (MagRed) for deep tissue optogenetics. Using MagRed, we developed a red light-activatable endogenous gene transcription system (Red-CPTS) based on CRISPR-Cas9.
View Article and Find Full Text PDFInt J Pharm
December 2024
Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & College of Pharmaceutical Science, Zhejiang University of Technology, 310014 Hangzhou, China; Zhejiang Key Laboratory of Green, Low-carbon and Efficient Development of Marine Fishery Resources, Hangzhou 310014, China. Electronic address:
Comput Methods Programs Biomed
December 2024
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China.
Background And Objective: Deep vein thrombosis (DVT) of the lower limbs is a critical global vascular disease. Accurately assessing and predicting the efficacy of DVT treatment remains a significant challenge due to a lack of understanding of the mechanisms by which the level of patient-specific embolization and the rate of drug injection affect thrombolytic therapy.
Methods: In this study, we used the computed tomographic venography (CTV) clinical method to obtain patient-specific parameters, and the flow-solid interaction (FSI) method combined with biochemical response modeling of thrombolysis to analyze patient-specific hemodynamic and biomechanical characteristics and to quantitatively assess the effects of three vessel embolism levels (VEL) versus two drug injection rates (DIR) on bifurcated femoral venous thrombolytic therapy.
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