| Literature DB >> 35127398 |
Xianbin Ma1, Shaochen Yang2, Tian Zhang1, Shuo Wang2, Qichao Yang2, Yao Xiao2, Xiaoxiao Shi3, Peng Xue1, Yuejun Kang1, Gang Liu3, Zhi-Jun Sun2, Zhigang Xu1.
Abstract
The combination of chemotherapy and immunotherapy motivates a potent immune system by triggering immunogenic cell death (ICD), showing great potential in inhibiting tumor growth and improving the immunosuppressive tumor microenvironment (ITM). However, the therapeutic effectiveness has been restricted by inferior drug bioavailability. Herein, we reported a universal bioresponsive doxorubicin (DOX)-based nanogel to achieve tumor-specific co-delivery of drugs. DOX-based mannose nanogels (DM NGs) was designed and choosed as an example to elucidate the mechanism of combined chemo-immunotherapy. As expected, the DM NGs exhibited prominent micellar stability, selective drug release and prolonged survival time, benefited from the enhanced tumor permeability and prolonged blood circulation. We discovered that the DOX delivered by DM NGs could induce powerful anti-tumor immune response facilitated by promoting ICD. Meanwhile, the released mannose from DM NGs was proved as a powerful and synergetic treatment for breast cancer in vitro and in vivo, via damaging the glucose metabolism in glycolysis and the tricarboxylic acid cycle. Overall, the regulation of tumor microenvironment with DOX-based nanogel is expected to be an effectual candidate strategy to overcome the current limitations of ICD-based immunotherapy, offering a paradigm for the exploitation of immunomodulatory nanomedicines.Entities:
Keywords: 5-ALA, 5-aminolevulinic acid; 5-FU, 5-fluorouracil; ALKP, alkaline phosphatase; ALT, alanine aminotransferase; APCs, antigen-presenting cells; AST, aminotransferase; ATP, adenosine triphosphate; AUC, area under curves; Bioresponsive; CLSM, confocal laser scanning microscope; CPT-11, irinotecan; CRE, creatinine; CRT, calreticulin; Ce6, chlorin e6; Chemotherapy; DAMPs, damage-associated molecular patterns; DCs, dendritic cells; DDSs, drug delivery systems; DLN, draining lymph nodes; DM NGs, doxorubicin-based mannose nanogel; DOC, docetaxel; DOX, doxorubicin; DTT, d,l-dithiothreitol; Doxorubicin; FCM, flow cytometry; FDA, Fluorescein diacetate; GEM, gemcitabine; GSH, glutathione; H&E, hematoxylin-eosin; HCPT, 10-hydroxy camptothecin; HCT, hematocrit; HGB, hemoglobin concentration; HMGB1, high migrating group box 1; ICB, immune checkpoint blockade; ICD, immunogenic cell death; ICG, indocyanine Green; IHC, immunohistochemistry; ITM, immunosuppressive tumor microenvironment; Immunogenic cell death; Immunotherapy; LDH, lactate dehydrogenase; LYM, lymphocyte ratio; MAN, mannose; MCHC, mean corpuscular hemoglobin concentration; MCSs, multicellular spheroids; MFI, mean fluorescence intensity; MPV, mean platelet volume; Mannose; NGs, nanogels; Nanogel; OXA, oxaliplatin; P18, purpurin 18; PDI, polydispersity index; PLT, platelets; PTX, paclitaxel; Prodrug; RBC, red blood cell count; RDW, variation coefficient of red blood cell distribution width; TAAs, tumor-associated antigens; TAM, tumor-associated macrophages; TGF-β, transforming growth factor-β; TMA, tissue microarrays; TME, tumor microenvironment; Urea, urea nitrogen; WBC, white blood cell count; irAEs, immune-related adverse events
Year: 2021 PMID: 35127398 PMCID: PMC8800001 DOI: 10.1016/j.apsb.2021.05.016
Source DB: PubMed Journal: Acta Pharm Sin B ISSN: 2211-3835 Impact factor: 11.413
Scheme 1Schematic illustration of bioresponsive doxorubicin-based mannose nanobackpack for cancer immunotherapy by enhancing ICD induction. (A) Drugs that we tested for making DOX-based nanogels with high drug loading including docetaxel (DOC), paclitaxel (PTX), irinotecan (CPT-11), gemcitabine (GEM), oxaliplatin (OXA), chlorin e6 (Ce6), purpurin 18 (P18), indocyanine Green (ICG), 10-hydroxy camptothecin (HCPT), 5-fluorouracil (5-FU), 5-aminolevulinic acid (5-ALA) and mannose. (B) The synthesis process of DOX-based nanogel and simplified mechanism mediated chemo-immunotherapy to inhibit tumor growth by up-regulation immunogenic cell death.
Figure 1Characterization of DM NGs. (A) Hydrodynamic diameter (Dh) and TEM image of DM NGs. (B) The change in hydrodynamic diameter and zeta potential of DM NGs in 15 days. (C) Zeta potentials of MAN NGs, DOX NGs and DM NGs. (D) UV–Vis spectra and fluorescence spectra of Free DOX and DM NGs. (E) The controlled release behavior of DM NGs after GSH treatment. (F) In vitro release pattern of DOX from DM NGs. (G) Flow cytometric profile of DM NGs. (H) CLSM images of lysosomal colocalization. (I) Quantification of intracellular DOX in 4T1 cells for 1 and 2 h. (J) GSH level was stained by Thiol-Tracker Violet (green). (K) The quantification of intracellular GSH in 4T1 cells. Data are presented as mean ± SD (n = 3). ∗P < 0.05; ∗∗P < 0.01.
Figure 2Cytotoxicity and ICD studies of DM NGs in vitro. (A) Cytotoxicity of Free DOX, free MAN, MAN NGs, DOX NGs and DM NGs in 4T1 cells for 24 h. (B) Fluorescence images of 4T1 cells after treatments and FDA staining. (C) Area occupied by cells during live staining. (D) and (E) Scratch-wound healing assay. CLSM examinations of HMGB1 (F) and CRT (H) release. Fluorescence intensity of HMGB1 (G) and CRT (I) expressed. Data are presented as mean ± SD (n = 3). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.
Figure 3Biodistribution and pharmacokinetics of DM NGs. (A) Penetration of DM NGs in 4T1 MCSs for 4, 8, and 24 h, respectively. (B) The mean fluorescence intensity of DOX in each layer in the MCSs. (C) In vitro tumor permeability of MCSs treated with DM NGs for 24 h. (D) Fluorescence imaging, and (E) Semi-quantitative fluorescence intensity of DM NGs distribution in 4T1 tumor-bearing mice in vivo. (F) The semi-quantitative fluorescence intensity of the tumor and major organs (heart, liver, spleen, lung, kidney) examined 72 h post-injection. (G) Quantification of DM NGs in tumor and major organs by fluorescence spectrophotometer. (H) Plasma concentration-time profiles and (I) the AUC0− of DOX in SD rat post i.v. injection of DM NGs or Free DOX. (J) CLSM images and (K) quantification of DIR fluorescence distribution in tumor. Data are presented as mean ± SD (n = 3). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.
Figure 4Antitumor efficacy of DM NGs on balb/c mice bearing 4T1 tumor. (A) The therapeutic schedule, deep penetration and long residence of DM NGs in vivo study. (B) Individual tumor growth curves and (C) average tumor growth curves after different treatments. (D) Average tumor weight after 11 days of treatment in various groups. (E) Survival curves of model mice (n = 8). (F) H&E (upper panel), Ki67 (middle panel) and TUNEL staining (lower panel) of tumor tissues after various treatments for 11 days. (G) Quantification of Ki67 proliferative cells ratio in panel. (H) The corresponding tumor apoptosis index. Data are presented as mean ± SD (n = 5). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.
Figure 5Immune checkpoint PD-1 and TIM-3 expression on CD4+ and CD8+ T-cell subsets. (A) Representative flow cytometry data for PD-1+TIM-3+ CD8+ T cells in tumor. (B) Quantification of PD-1+ TIM-3+ in CD8+ cells. (C) Phenotype, distribution, and localization of TIM-3+ CD8+ T cells in 4T1 tumor tissue. The white arrow indicate activated T cell. (D) and (E) Quantification of two color immunofluorescence staining. Expression (F) and quantification (G) of Granzym B in tumor tissue of different groups. Data are presented as mean ± SD (n = 5). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.
Figure 6DCs maturation of DM NGs. (A) Representative flow cytometry images (B) and quantification results for mature DCs in DLN. (C) Phenotype, distribution, and localization of CD11c+CD86+ cells in 4T1 tumor tissue. The white arrow indicate activated T cell. (D) Quantification of two color immunofluorescence staining by Image J software. (E) Quantification of CD103 cells in tumor tissue of different groups. (F) Quantification of two color immunofluorescence staining. Data are presented as mean ± SD (n = 5). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.
Figure 7ICD of DM NGs in vivo. (A) Schematic illustration of DM NGs-mediated activation mechanism of DCs maturation. (B) Immunofluorescence staining of HMGB1 release in 4T1 tumors and (C) corresponding quantifications. (D) Immunofluorescence staining of CRT exposure in 4T1 tumors and (E) corresponding quantifications. Data are presented as mean ± SD (n = 5). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001.