Rational strategies for improving the efficiency of design and discovery of nanomedicines

Breaking the barriers in effective and safe Toll-like receptor stimulation via nano-immunomodulators for potent cancer immunotherapy

Immunotherapy is an emerging strategy that awakens the intrinsic immune system for cancer treatment. Generally, successful immunotherapy of malignant tumours relies on the effective production of tumour-associated antigens and their lymph node delivery, antigen processing and presentation for T-cell activation, and the dismantling of the immunosuppressive tumour microenvironment. Toll-like receptor (TLR) agonists are potent stimulants in cancer immunotherapy, which can directly activate antigen-presenting cells (APCs) and further induce T cell activation for antitumour immune response and convert immunosuppressive tumour microenvironment to an immunogenic one for cooperative tumour ablation. However, TLR agonists for effective cancer immunotherapy have encountered essential challenges, such as insufficient immune activation and systemic side effects. In recent years, nano-immunomodulators with TLR agonists have been employed for tumour- and/or lymph node-targeted immune activation to improve the antitumour immune response and alleviate their systemic toxicities, providing a promising strategy for enhanced cancer immunotherapy. Herein, we introduce the recent progress in developing various TLR nano-immunomodulators for cancer immunotherapy via APC activation and tumour microenvironment remodelling. Upon elucidating the rational design principles of nano-immunomodulators, we elucidate the advancement of TLR nanoagonists to break the barriers in effective and safe Toll-like receptor stimulation for potent cancer immunotherapy.

Construction of Sonosensitizer-Drug Co-Assembly Based on Deep Learning Method

Drug co-assemblies have attracted extensive attention due to their advantages of easy preparation, adjustable performance and drug component co-delivery. However, the lack of a clear and reasonable co-assembly strategy has hindered the wide application and promotion of drug-co assembly. This paper introduces a deep learning-based sonosensitizer-drug interaction (SDI) model to predict the particle size of the drug mixture. To analyze the factors influencing the particle size after mixing, the graph neural network is employed to capture the atomic, bond, and structural features of the molecules. A multi-scale cross-attention mechanism is designed to integrate the feature representations of different scale substructures of the two drugs, which not only improves prediction accuracy but also allows for the analysis of the impact of molecular structures on the predictions. Ablation experiments evaluate the impact of molecular properties, and comparisons with other machine and deep learning methods show superiority, achieving 90.00% precision, 96.00% recall, and 91.67% F1-score. Furthermore, the SDI predicts the co-assembly of the chemotherapy drug methotrexate (MET) and the sonosensitizer emodin (EMO) to form the nanomedicine NanoME. This prediction is further validated through experiments, demonstrating that NanoME can be used for fluorescence imaging of liver cancer and sonodynamic/chemotherapy anticancer therapy.

The Transformative Role of Nanotechnology in the Management of Diabetes Mellitus: Insights from Current Research

Nanotechnology refers to the science that modulates molecules to the nanoscale dimension. Nanomedicine, i.e., the utilization of nanotechnology for diagnosing and treating several disorders, is a subject of ongoing research. The concept behind nanomedicine in diabetes mellitus (DM) treatment stems from the need to ameliorate absorption and distribution of antidiabetic therapies in order to overcome barriers, namely the pH throughout the gastrointestinal tract, the gut microbiota, the temperature/heat and the difficulties in the incorporation of drugs into the cells. Thus, the scope of nanomedicine is particularly challenging and demanding, considering the fact that the human body is a perpetually changing entity in order to achieve homeostasis. In this review, we will delve into various nanoparticles that are being studied in terms of antidiabetic treatment, their pros and cons and the expanding knowledge in this field. Despite the fact that nanomedicine seems to be very promising, there are still many gaps in our understanding of how the human body addresses its utilization. Moreover, its high costs, along with an as-yet unclear safety profile, remain a significant barrier to widespread adoption. In this review, we will describe both phytochemicals and chemical compounds that nanomedicine seeks to exploit in order to pave the way for a more efficacious and comprehensive management of diabetes mellitus.

Design Considerations for Organ-Selective Nanoparticles

Nanoparticles (NPs) have been extensively researched for targeted diagnostic imaging and drug delivery, yet their clinical translation remains limited, with only a few achieving Food and Drug Administration approval. This limited success is primarily due to challenges in achieving precise organ- or tissue-specific targeting, which arise from off-target tissue accumulation and suboptimal clearance profiles. Herein we examine the critical role of physicochemical properties, including size, surface charge, shape, elasticity, hardness, and density, in governing the biodistribution, targetability, and clearance of NPs. We highlight recent advancements in engineering NPs for targeted imaging and drug delivery, showcasing both significant progress and the remaining challenges in the field of nanomedicine. Additionally, we discuss emerging tools and technologies that are being developed to address these challenges. Based on recent insights from materials science, biomedical engineering, computational biology, and clinical research, we propose key design considerations for next-generation nanomedicines with enhanced organ selectivity.

Engineered Cell Membrane Coating Technologies for Biomedical Applications: From Nanoscale to Macroscale

Cell membrane coating has emerged as a promising strategy for the surface modification of biomaterials with biological membranes, serving as a cloak that can carry more functions. The cloaked biomaterials inherit diverse intrinsic biofunctions derived from different cell sources, including enhanced biocompatibility, immunity evasion, specific targeting capacity, and immune regulation of the regenerative microenvironment. The intrinsic characteristics of biomimicry and biointerfacing have demonstrated the versatility of cell membrane coating technology on a variety of biomaterials, thus, furthering the research into a wide range of biomedical applications and clinical translation. Here, the preparation of cell membrane coatings is emphasized, and different sizes of coated biomaterials from nanoscale to macroscale as well as the engineering strategies to introduce additional biofunctions are summarized. Subsequently, the utilization of biomimetic membrane-cloaked biomaterials in biomedical applications is discussed, including drug delivery, imaging and phototherapy, cancer immunotherapy, anti-infection and detoxification, and implant modification. In conclusion, the latest advancements in clinical and preclinical studies, along with the multiple benefits of cell membrane-coated nanoparticles (NPs) in biomimetic systems, are elucidated.

Computer-Aided Design of Self-Assembled Nanoparticles to Enhance Cancer Chemoimmunotherapy via Dual-Modulation Strategy

The rational design of self-assembled compounds is crucial for the highly efficient development of carrier-free nanomedicines. Herein, based on computer-aided strategies, important physicochemical properties are identified to guide the rational design of self-assembled compounds. Then, the pharmacophore hybridization strategy is used to design self-assemble nanoparticles by preparing new chemical structures by combining pharmacophore groups of different bioactive compounds. Hydroxychloroquine is grafted with the lipophilic vitamin E succinate and then co-assembled with bortezomib to fabricate the nanoparticle. The nanoparticle can reduce M2-type tumor-associated macrophages (TAMs) through lysosomal alkalization and induce immunogenic cell death (ICD) and nuclear factor-κB (NF-κB) inhibition in tumor cells. In mouse models, the nanoparticles induce decreased levels of M2-type TAMs, regulatory T cells, and transforming growth factor-β (TGF-β), and increase the proportion of cytotoxicity T lymphocytes. Additionally, the nanoparticles reduce the secretion of Interleukin-6 (IL-6) by inhibiting NF-κB and enhance the programmed death ligand-1 (PD-L1) checkpoint blockade therapy. The pharmacophore hybridization-derived nanoparticle provides a dual-modulation strategy to reprogram the tumor microenvironment, which will efficiently enhance the chemoimmunotherapy against triple-negative breast cancer.

Polymeric Polylactic Acid-Glycolic Acid-Based Nanoparticles Deliver Nintedanib Across the Blood-Brain Barrier to Inhibit Glioblastoma Growth

The aim of this study was to investigate the inhibitory effect of nintedanib (BIBF) on glioblastoma (GBM) cells and its mechanism of action and to optimize a drug delivery strategy to overcome the limitations posed by the blood-brain barrier (BBB). We analyzed the inhibition of GBM cell lines following BIBF treatment and explored its effect on the autophagy pathway. The cytotoxicity of BIBF was assessed using the CCK-8 assay, and further techniques such as transmission electron microscopy, Western blotting (WB), and flow cytometry were employed to demonstrate that BIBF could block the autophagic pathway by inhibiting the fusion of autophagosomes and lysosomes, ultimately limiting the proliferation of GBM cells. Molecular docking and surface plasmon resonance (SPR) experiments indicated that BIBF specifically binds to the autophagy-associated protein VPS18, interfering with its function and inhibiting the normal progression of autophagy. However, the application of BIBF in GBM therapy is limited due to restricted drug penetration across the BBB. Therefore, this study utilized poly-lactic-co-glycolic acid (PLGA) nanocarriers as a drug delivery system to significantly enhance the delivery efficiency of BIBF in vivo. In vitro cellular experiments and in vivo animal model validation demonstrated that PLGA-BIBF NPs effectively overcame the limitations of the BBB, significantly enhanced the antitumor activity of BIBF, and improved therapeutic efficacy in a GBM BALB/c-Nude model. This study demonstrated that BIBF exerted significant inhibitory effects on GBM cells by binding to VPS18 and inhibiting the autophagy pathway. Combined with the PLGA nanocarrier delivery system, the blood-brain barrier permeability and anti-tumor effect of BIBF were significantly enhanced. Targeting the BIBF-VPS18 pathway and optimizing drug delivery through nanotechnology may represent a new strategy for GBM treatment, providing innovative clinical treatment ideas and a theoretical basis for patients with GBM.