Evaluation of a Tumor-Targeting Oligosaccharide Nanosystem in BNCT on an Orthotopic Hepatocellular Carcinoma Model.

Boron neutron capture therapy (BNCT) is becoming a promising radiation treatment technique dealing with tumors due to its cellular targeting specificity. In this article, based on the biocompatible chitosan oligosaccharide (COS), we designed a boron delivery system using carborane (CB) as a boron drug with cRGD peptide modification and paclitaxel (PTX) loaded in the hydrophobic core. The nanoparticles (cRGD-COS-CB/PTX) realized the boron delivery into tumor sites with an enhanced permeability and retention (EPR) effect and an active targeting effect achieved by the cRGD-integrin interaction on the surface of tumor cells. The uniform spherical nanoparticles can be selectively taken by hepatoma cells rather than normal hepatocytes. In vivo experiments showed that the nanoparticles had a targeting effect on tumor sites in both subcutaneous and orthotopic tumor models, which was an encouraging result for radiotherapy for liver cancer. To sum up, the nanoparticles we produced proved to be promising dual-functionalized nanoparticles for radiotherapy and chemotherapy.

Identification of membrane protein types via deep residual hypergraph neural network.

A membrane protein's functions are significantly associated with its type, so it is crucial to identify the types of membrane proteins. Conventional computational methods for identifying the species of membrane proteins tend to ignore two issues: High-order correlation among membrane proteins and the scenarios of multi-modal representations of membrane proteins, which leads to information loss. To tackle those two issues, we proposed a deep residual hypergraph neural network (DRHGNN), which enhances the hypergraph neural network (HGNN) with initial residual and identity mapping in this paper. We carried out extensive experiments on four benchmark datasets of membrane proteins. In the meantime, we compared the DRHGNN with recently developed advanced methods. Experimental results showed the better performance of DRHGNN on the membrane protein classification task on four datasets. Experiments also showed that DRHGNN can handle the over-smoothing issue with the increase of the number of model layers compared with HGNN. The code is available at https://github.com/yunfighting/Identification-of-Membrane-Protein-Types-via-deep-residual-hypergraph-neural-network.

Mitochondrial targeted drug delivery combined with manganese catalyzed Fenton reaction for the treatment of breast cancer.

In previous studies, we found that triphenylphosphine-modified doxorubicin (TPP-DOX) can effectively kill drug-resistant tumor cells, but its effect on sensitive tumor cells is weakened. In this research, with albumin from Bovine Serum (BSA) as a carrier, TPP-DOX@MnBSA (TD@MB) nanoparticles were prepared by co-loading TPP-DOX and manganese which can realize the combination of chemotherapy and chemodynamic therapy (CDT). The uniform and stable nano-spherical nanoparticle can promote drug uptake, achieve mitochondrial-targeted drug delivery, increase intracellular reactive oxygen species (ROS) and catalyze the production of highly toxic oxidative hydroxyl radicals (OH·), further inhibiting the growth of both sensitive and drug-resistant MCF-7 cells. Besides, TD@MB can down-regulate the stemness-related proteins and the metastasis-related proteins, potentially decreasing the tumor stemness and metastasis. In vivo experiment indicated that TD@MB was able to exert desired antitumor effect, good tumor targeting and biocompatibility.

Pt/DOX Nanomotors Enhance Penetration in the Deep Tumor by Positive Chemotaxis.

Inefficient tumor penetration caused by the characteristics of tumor microenvironments is a primary obstacle to improving drug delivery efficiency, which restricts the chemotherapy drug efficacy. One such promising idea is to construct micro/nanomotors (MNMs) as an effective delivery vehicle by way of producing autonomous motion and converting exogenous stimuli or external energies from the surrounding environment into mechanical forces. In this research, the Pt/DOX nanomotor was prepared, and the enhanced diffusion and positive chemotaxis driven by substrates were verified in vitro, proof of the enhanced cellular uptake and deep penetration of Pt/DOX. As a novel nanovehicle, Pt/DOX potentially provides an intriguing approach to foster the tumor-deep penetration and enhance the drug delivery efficiency.

Blocking CD47 with restructured peptide nanoparticles for motivating phagocytosis to inhibit tumor progression.

Phagocytosis checkpoints, especially targeting CD47, have shown encouraging therapeutic effects. However, there are currently many shortcomings and challenges with immune checkpoint blockades (ICBs). Inspired by the phenomenon of molecular self-assembly, we modify the CD47 targeting peptide (4N1K) onto the self-assembled peptide FY4, as well as the concatenation of PEG at the other terminal via the AZO group to construct hypoxia-responsive nanoparticles (PEG-AZO-FY4-4N1K, PAP NPs), utilizing the peptide as a part of the anti-tumor therapy machine. After degradation, PAP NPs can self-assemble to form fibrous networks and anchor CD47 on the surface of tumor cells, promoting their recognition and phagocytosis by macrophages and relieving immune escape. Self-assembled peptides can interweave on the surface of tumor cells, fully exploiting their morphological advantages to impede normal cell interaction and metastasis. The PAP NPs work synergistically with Doxorubicin (DOX) to further maximize the efficacy of chemoimmunotherapy. In conclusion, this strategy pioneers the progress of self-assembled peptides in biomedicine and promises a novel breakthrough in the development of checkpoint inhibitor therapies.

Peptide nano-blanket impedes fibroblasts activation and subsequent formation of pre-metastatic niche.

There is evidence to suggest that the primary tumor induces the formation of a pre-metastatic niche in distal organs by stimulating the production of pro-metastatic factors. Given the fundamental role of the pre-metastatic niche in the development of metastases, interruption of its formation would be a promising strategy to take early action against tumor metastasis. Here we report an enzyme-activated assembled peptide FR17 that can serve as a "flame-retarding blanket" in the pre-metastatic niche specifically to extinguish the "fire" of tumor-supportive microenvironment adaption. We show that the in-situ assembled peptide nano-blanket inhibits fibroblasts activation, suppressing the remodeling of the metastasis-supportive host stromal tissue, and reversing vascular destabilization and angiogenesis. Furthermore, we demonstrate that the nano-blanket prevents the recruitment of myeloid cells to the pre-metastatic niche, regulating the immune-suppressive microenvironment. We show that FR17 administration effectively inhibits the formation of the pulmonary pre-metastatic niche and postoperative metastasis, offering a therapeutic strategy against pre-metastatic niche formation.

Recent Progress in the Design and Medical Application of In Situ Self-Assembled Polypeptide Materials.

Inspired by molecular self-assembly, which is ubiquitous in natural environments and biological systems, self-assembled peptides have become a research hotspot in the biomedical field due to their inherent biocompatibility and biodegradability, properties that are afforded by the amide linkages forming the peptide backbone. This review summarizes the biological advantages, principles, and design strategies of self-assembled polypeptide systems. We then focus on the latest advances in in situ self-assembly of polypeptides in medical applications, such as oncotherapy, materials science, regenerative medicine, and drug delivery, and then briefly discuss their potential challenges in clinical treatment.