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      Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma

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          Abstract

          Glioblastoma multiforme (GBM) is an aggressive brain cancer with a poor prognosis and few treatment options. Here, building on the observation of elevated lactate (LA) in resected GBM, we develop biomimetic therapeutic nanoparticles (NPs) that deliver agents for LA metabolism-based synergistic therapy. Because our self-assembling NPs are encapsulated in membranes derived from glioma cells, they readily penetrate the blood-brain barrier and target GBM through homotypic recognition. After reaching the tumors, lactate oxidase in the NPs converts LA into pyruvic acid (PA) and hydrogen peroxide (H 2O 2). The PA inhibits cancer cell growth by blocking histones expression and inducing cell-cycle arrest. In parallel, the H 2O 2 reacts with the delivered bis[2,4,5-trichloro-6-(pentyloxycarbonyl)phenyl] oxalate to release energy, which is used by the co-delivered photosensitizer chlorin e6 for the generation of cytotoxic singlet oxygen to kill glioma cells. Such a synergism ensures strong therapeutic effects against both glioma cell-line derived and patient-derived xenograft models.

          Abstract

          Targeting cancer-associated metabolism is evolving as a promising approach for cancer therapy. Here, the authors generate cancer cell-membrane encapsulated nanoparticles to induce cell cycle arrest and cytotoxicity in lactate-high cancer cells, reducing tumourigensis in glioblastoma cell-line and patient-derived models.

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          Most cited references56

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          Metabolic reprogramming and cancer progression

          Metabolic reprogramming is a hallmark of malignancy. As our understanding of the complexity of tumor biology increases, so does our appreciation of the complexity of tumor metabolism. Metabolic heterogeneity among human tumors poses a challenge to developing therapies that exploit metabolic vulnerabilities. Recent work also demonstrates that the metabolic properties and preferences of a tumor change during cancer progression. This produces distinct sets of vulnerabilities between primary tumors and metastatic cancer, even in the same patient or experimental model. We review emerging concepts about metabolic reprogramming in cancer, with particular attention on why metabolic properties evolve during cancer progression and how this information might be used to develop better therapeutic strategies.
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            Glucose feeds the TCA cycle via circulating lactate

            Mammalian tissues are fuelled by circulating nutrients, including glucose, amino acids, and various intermediary metabolites. Under aerobic conditions, glucose is generally assumed to be burned fully by tissues via the tricarboxylic acid cycle (TCA cycle) to carbon dioxide. Alternatively, glucose can be catabolized anaerobically via glycolysis to lactate, which is itself also a potential nutrient for tissues and tumours. The quantitative relevance of circulating lactate or other metabolic intermediates as fuels remains unclear. Here we systematically examine the fluxes of circulating metabolites in mice, and find that lactate can be a primary source of carbon for the TCA cycle and thus of energy. Intravenous infusions of 13C-labelled nutrients reveal that, on a molar basis, the circulatory turnover flux of lactate is the highest of all metabolites and exceeds that of glucose by 1.1-fold in fed mice and 2.5-fold in fasting mice; lactate is made primarily from glucose but also from other sources. In both fed and fasted mice, 13C-lactate extensively labels TCA cycle intermediates in all tissues. Quantitative analysis reveals that during the fasted state, the contribution of glucose to tissue TCA metabolism is primarily indirect (via circulating lactate) in all tissues except the brain. In genetically engineered lung and pancreatic cancer tumours in fasted mice, the contribution of circulating lactate to TCA cycle intermediates exceeds that of glucose, with glutamine making a larger contribution than lactate in pancreatic cancer. Thus, glycolysis and the TCA cycle are uncoupled at the level of lactate, which is a primary circulating TCA substrate in most tissues and tumours.
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              Overcoming the Achilles' heel of photodynamic therapy.

              Photodynamic therapy (PDT) has been applied to treat a wide range of medical conditions, including wet age-related macular degeneration psoriasis, atherosclerosis, viral infection and malignant cancers. However, the tissue penetration limitation of excitation light hinders the widespread clinical use of PDT. To overcome this "Achilles' heel", deep PDT, a novel type of phototherapy, has been developed for the efficient treatment of deep-seated diseases. Based on the different excitation sources, including near-infrared (NIR) light, X-ray radiation, and internal self-luminescence, a series of deep PDT techniques have been explored to demonstrate the advantages of deep cancer therapy over conventional PDT excited by ultraviolet-visible (UV-Vis) light. In particular, the featured applications of deep PDT, such as organelle-targeted deep PDT, hypoxic deep PDT and deep PDT-involved multimodal synergistic therapy are discussed. Finally, the future development and potential challenges of deep PDT are also elucidated for clinical translation. It is highly expected that deep PDT will be developed as a versatile, depth/oxygen-independent and minimally invasive strategy for treating a variety of malignant tumours at deep locations.
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                Author and article information

                Contributors
                huitan@email.szu.edu.cn
                wpli@szu.edu.cn
                ghma@ipe.ac.cn
                weiwei@ipe.ac.cn
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                21 July 2022
                21 July 2022
                2022
                : 13
                : 4214
                Affiliations
                [1 ]GRID grid.452847.8, ISNI 0000 0004 6068 028X, Department of Neurosurgery, Health Science Center, , The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, ; Shenzhen, 518035 P. R. China
                [2 ]GRID grid.9227.e, ISNI 0000000119573309, State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, , Chinese Academy of Sciences, ; Beijing, 100190 P. R. China
                [3 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, School of Chemical Engineering, , University of Chinese Academy of Sciences, ; Beijing, 100049 P. R. China
                [4 ]GRID grid.452787.b, ISNI 0000 0004 1806 5224, Pneumology Department, , Shenzhen Children’s Hospital, ; Shenzhen, 518026 P. R. China
                Author information
                http://orcid.org/0000-0002-9160-9588
                http://orcid.org/0000-0001-8983-3233
                http://orcid.org/0000-0002-0045-1501
                http://orcid.org/0000-0002-9189-602X
                http://orcid.org/0000-0003-3343-4676
                http://orcid.org/0000-0003-4548-7660
                http://orcid.org/0000-0002-2392-0454
                http://orcid.org/0000-0002-3999-3199
                http://orcid.org/0000-0001-6265-0074
                http://orcid.org/0000-0001-7259-2648
                http://orcid.org/0000-0002-4391-3112
                http://orcid.org/0000-0001-9154-5556
                http://orcid.org/0000-0002-6244-3187
                Article
                31799
                10.1038/s41467-022-31799-y
                9304377
                35864093
                fa47076d-9022-452b-993a-61d6506fd1df
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 July 2021
                : 29 June 2022
                Categories
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                © The Author(s) 2022

                Uncategorized
                drug delivery,targeted therapies,cns cancer
                Uncategorized
                drug delivery, targeted therapies, cns cancer

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