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      Progress in cancer therapy with functionalized Fe3O4 nanomaterials

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          Functional Hydrogels as Wound Dressing to Enhance Wound Healing

          Hydrogels, due to their excellent biochemical and mechnical property, have shown attractive advantages in the field of wound dressings. However, a comprehensive review of the functional hydrogel as a wound dressing is still lacking. This work first summarizes the skin wound healing process and relates evaluation parameters and then reviews the advanced functions of hydrogel dressings such as antimicrobial property, adhesion and hemostasis, anti-inflammatory and anti-oxidation, substance delivery, self-healing, stimulus response, conductivity, and the recently emerged wound monitoring feature, and the strategies adopted to achieve these functions are all classified and discussed. Furthermore, applications of hydrogel wound dressing for the treatment of different types of wounds such as incisional wound and the excisional wound are summarized. Chronic wounds are also mentioned, and the focus of attention on infected wounds, burn wounds, and diabetic wounds is discussed. Finally, the future directions of hydrogel wound dressings for wound healing are further proposed.
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            Design and fabrication of magnetic nanoparticles for targeted drug delivery and imaging.

            Magnetic nanoparticles (MNPs) represent a class of non-invasive imaging agents that have been developed for magnetic resonance (MR) imaging. These MNPs have traditionally been used for disease imaging via passive targeting, but recent advances have opened the door to cellular-specific targeting, drug delivery, and multi-modal imaging by these nanoparticles. As more elaborate MNPs are envisioned, adherence to proper design criteria (e.g. size, coating, molecular functionalization) becomes even more essential. This review summarizes the design parameters that affect MNP performance in vivo, including the physicochemical properties and nanoparticle surface modifications, such as MNP coating and targeting ligand functionalizations that can enhance MNP management of biological barriers. A careful review of the chemistries used to modify the surfaces of MNPs is also given, with attention paid to optimizing the activity of bound ligands while maintaining favorable physicochemical properties. Copyright 2009 Elsevier B.V. All rights reserved.
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              Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions

              Oxygen depleted hypoxic regions in the tumour are generally resistant to therapies 1 . Although nanocarriers have been used to deliver drugs, the targeting ratios have been very low. Here, we show that the magneto-aerotactic migration behaviour 2 of magnetotactic bacteria 3 , Magnetococcus marinus strain MC-1 4 , can be used to transport drug-loaded nanoliposomes into hypoxic regions of the tumour. In their natural environment, MC-1 cells, each containing a chain of magnetic iron-oxide nanocrystals 5 , tend to swim along local magnetic field lines and towards low oxygen concentrations 6 based on a two-state aerotactic sensing system 2 . We show that when MC-1 cells bearing covalently bound drug-containing nanoliposomes were injected near the tumour in SCID Beige mice and magnetically guided, up to 55% of MC-1 cells penetrated into hypoxic regions of HCT116 colorectal xenografts. Approximately 70 drug-loaded nanoliposomes were attached to each MC-1 cell. Our results suggest that harnessing swarms of microorganisms exhibiting magneto-aerotactic behaviour can significantly improve the therapeutic index of various nanocarriers in tumour hypoxic regions.
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                Author and article information

                Journal
                Frontiers of Materials Science
                Front. Mater. Sci.
                Springer Science and Business Media LLC
                2095-025X
                2095-0268
                September 2023
                September 09 2023
                September 2023
                : 17
                : 3
                Article
                10.1007/s11706-023-0658-4
                5b3ec7a8-b092-45df-b29a-f02f3acd4433
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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