Nanoparticle/Engineered Bacteria Based Triple-Strategy Delivery System for Enhanced Hepatocellular Carcinoma Cancer Therapy.

Background: New treatment modalities for hepatocellular carcinoma (HCC) are desperately critically needed, given the lack of specificity, severe side effects, and drug resistance with single chemotherapy. Engineered bacteria can target and accumulate in tumor tissues, induce an immune response, and act as drug delivery vehicles. However, conventional bacterial therapy has limitations, such as drug loading capacity and difficult cargo release, resulting in inadequate therapeutic outcomes. Synthetic biotechnology can enhance the precision and efficacy of bacteria-based delivery systems. This enables the selective release of therapeutic payloads in vivo. Methods: In this study, we constructed a non-pathogenic Escherichia coli (E. coli) with a synchronized lysis circuit as both a drug/gene delivery vehicle and an in-situ (hepatitis B surface antigen) Ag (ASEc) producer. Polyethylene glycol (CHO-PEG2000-CHO)-poly(ethyleneimine) (PEI25k)-citraconic anhydride (CA)-doxorubicin (DOX) nanoparticles loaded with plasmid encoded human sulfatase 1 (hsulf-1) enzyme (PNPs) were anchored on the surface of ASEc (ASEc@PNPs). The composites were synthesized and characterized. The in vitro and in vivo anti-tumor effect of ASEc@PNPs was tested in HepG2 cell lines and a mouse subcutaneous tumor model. Results: The results demonstrated that upon intravenous injection into tumor-bearing mice, ASEc can actively target and colonise tumor sites. The lytic genes to achieve blast and concentrated release of Ag significantly increased cytokine secretion and the intratumoral infiltration of CD4/CD8+T cells, initiated a specific immune response. Simultaneously, the PNPs system releases hsulf-1 and DOX into the tumor cell resulting in rapid tumor regression and metastasis prevention. Conclusion: The novel drug delivery system significantly suppressed HCC in vivo with reduced side effects, indicating a potential strategy for clinical HCC therapy.

Evaluation of fused multisource data of air temperature based on dropsonde and satellite observation.

Continuous vertical air temperature (AT) from in-situ observation is of crucial importance for understanding the atmospheric environment, but the satellite data that have complete spatial coverage lacked vertical in-situ observation data, and the vertical dropsonde data from in-situ observations only were single-point observations. Therefore, this article introduced machine learning algorithms for fusing in-situ observation and multi-satellite data to achieve spatial continuity of vertical data on a large scale. Specially, random forest (RF), support vector regression (SVR), artificial neural network (ANN) and recurrent neural network (RNN) were employed to capture the non-linear relationships between the variables and estimated AT. The pre-training process and fine-tuning process ensured the prediction of AT spatiotemporal distribution. The four models were implemented for three-dimensional AT estimating across China. Additionally, we used the radiosonde observation data to evaluate the accuracy of estimated AT data under conventional weather and typhoon conditions. Our results revealed that the RF model performed the best with the R of 0.9992, the MAE of 0.70 °C, and the RMSE of 1.04 °C at the national scale, followed by the SVR and ANN models. The RNN model exhibited promising results under typhoon conditions, which will be valuable insights for further research on the applicability of machine learning models under different weather conditions. Besides, having a larger sample size does not necessarily result in reduced errors. For instance, the MAE value for SVR in the pressure height range of 100-200 hPa was larger than that in the pressure height range of 300-400 hPa, but the former sample size was 16,324, which was 7433 higher than the latter.

Engineered bacteria combined with doxorubicin nanoparticles suppress angiogenesis and metastasis in murine melanoma models.

Methods capable of distributing antitumour therapeutics uniformly throughout an entire tumour and that can suppress metastasis at the same time, would be of great significance in improving cancer treatment. Bacteria-mediated synergistic therapies have been explored for better specificity, temporal and spatial controllability, as well for providing regulation of the immune microenvironment, in order to provide improved cancer treatment. To achieve this goal, here we developed an engineered bacteria delivery system (GDOX@HSEc) using synthetic biology and interfacial chemistry technologies. The engineered bacteria were concurrently modified to express heparin sulfatase 1 (HSulf-1) inside (HSEc), to attach doxorubicin-loaded glycogen nanoparticles (GDOX NPs) on their surface. Here we demonstrate that HSEc can actively target and colonise tumour sites resulting in HSulf-1 overexpression, thereby suppressing angiogenesis and metastasis. Simultaneously, the GDOX NPs were able to penetrate into tumour cells, leading to intracellular DNA damage. Our results confirmed that a combination of biotherapy and chemotherapy using GDOX@HSEc resulted in significant melanoma suppression in murine models, with reduced side effects. This study provides a powerful platform for the simultaneous delivery of biomacromolecules and chemotherapeutic drugs to tumours, representing an innovative strategy potentially more effective in treating solid tumours. STATEMENT OF SIGNIFICANCE: An original engineered bacteria-based system (GDOX@HSEc) was developed using synthetic biology and interfacial chemistry technologies to concurrently produce naturally occurring heparin sulfatase 1 (HSulf-1) inside and anchor doxorubicin-loaded glycogen nanoparticles on the surface. GDOX@HSEc allowed for combined local delivery of chemotherapeutic agents along with the enzymes and immunostimulatory bacterial adjuvants, which resulted in a synergistic action in the inhibition of tumour growth and metastasis. The study provides a potential therapeutic approach that allows therapeutic agents to be distributed in a spatiotemporally controllable manner in tumours for combinatorial enhanced therapy.

Enzyme-loaded glycogen nanoparticles with tumor-targeting Activatable host-guest supramolecule for augmented chemodynamic therapy.

Chemodynamic therapy (CDT) has advantages in site-specific killing tumor and avoiding systemically side effect. Although numerous nano-systems have been developed to enhance the intracellular hydrogen peroxide (H2O2) for improving CDT effect, the biocompatibility of the materials limits their further biomedical applications. Herein glycogen, as a natural biological macromolecule, was used to construct a new targeted separable GOx@GF/HC nanoparticle system to deliver glucose oxidase (GOx) for CDT/starvation tumor therapy. Amination glycogen-ferrocene (GF) as a guest core and hyaluronic acid-ß-cyclodextrin (HC) as a host shell were synthesized and self-assembled through host-guest interactions to deliver GOx. After being entered into tumor cells, GOx were released to catalyze glucose to produce gluconic acid and H2O2, which in turn cut off the nutrition of tumor cells for starvation therapy and enhanced the generation of OH with ferrous ion through Fenton reaction. Furthermore, GOx@GF/HC also exhibited remarkable tumor-targeting and tumor-suppression in vivo. Therefore, the GOx@GF/HC system can exert excellent synergistic effect of CDT and starvation therapy on cancer treatment through a cascade reaction, which have some potential application for the development of CDT tumor-treatment.