Ligand Phase Separation-Promoted, “Squeezing-Out” Mode Explaining the Mechanism and Implications of Neutral Nanoparticles That Escaped from Lysosomes

Zhao, Hui-Yue; Chen, Yuan-Qiang; Luo, Xing-Yu; Cai, Ming-Jie; Li, Jia-Yi; Lin, Xin-Yu; Zhang, Hao; Ding, Hong-Ming; Jiang, Guang-Liang; Hu, Yong

doi:10.1021/acsnano.3c09452

Cited by 10 publications

(1 citation statement)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the rapid development of nanotechnology, the utilization of nanoparticles (NPs) as pharmaceutical carriers in biomedicine is increasingly expanding. − Upon introduction of NPs to the blood, the surrounding plasma proteins can quickly adsorb onto the surfaces of NPs, forming a protein corona (PC), which significantly affects the physicochemical properties of the NPs and their subsequent biological behaviors. − Therefore, comprehensive investigations of the characteristics and impact of the PC on NP surfaces are crucial for regulating their fate in vivo, which requires a deep understanding of the interactions between NPs and serum proteins.…”

Section: Introductionmentioning

confidence: 99%

Effect of Nanoparticle Curvature on Its Interaction with Serum Proteins

Yin,

Ma,

Ding

2024

Langmuir

Self Cite

View full text Add to dashboard Cite

The size or the curvature of nanoparticles (NPs) plays an important role in regulating the composition of the protein corona. However, the molecular mechanisms of how curvature affects the interaction of NPs with serum proteins still remain elusive. In this study, we employ all-atom molecular dynamics simulations to investigate the interactions between two typical serum proteins and PEGylated Au NPs with three different surface curvatures (0, 0.1, and 0.5 nm −1 , respectively). The results show that for proteins with a regular shape, the binding strength between the serum protein and Au NPs decreases with increasing curvature. For irregularly shaped proteins with noticeable grooves, the binding strength between the protein and Au NPs does not change obviously with increasing curvature in the cases of smaller curvature. However, as the curvature continues to increase, Au NPs may act as ligands firmly adsorbed in the protein grooves, significantly enhancing the binding strength. Overall, our findings suggest that the impact of NP curvature on protein adsorption may be nonmonotonic, which may provide useful guidelines for better design of functionalized NPs in biomedical applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of Nanoparticle Curvature on Its Interaction with Serum Proteins

Yin,

Ma,

Ding

2024

Langmuir

Self Cite

View full text Add to dashboard Cite

show abstract

Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers

Gao,

Ciura,

et al. 2024

Advanced Materials

View full text Add to dashboard Cite

The pioneering work on liposomes in the 1960s and subsequent research in controlled drug release systems significantly advances the development of nanocarriers (NCs) for drug delivery. This field is evolved to include a diverse array of nanocarriers such as liposomes, polymeric nanoparticles, dendrimers, and more, each tailored to specific therapeutic applications. Despite significant achievements, the clinical translation of nanocarriers is limited, primarily due to the low efficiency of drug delivery and an incomplete understanding of nanocarrier interactions with biological systems. Addressing these challenges requires interdisciplinary collaboration and a deep understanding of the nano‐bio interface. To enhance nanocarrier design, scientists employ both physics‐based and data‐driven models. Physics‐based models provide detailed insights into chemical reactions and interactions at atomic and molecular scales, while data‐driven models leverage machine learning to analyze large datasets and uncover hidden mechanisms. The integration of these models presents challenges such as harmonizing different modeling approaches and ensuring model validation and generalization across biological systems. However, this integration is crucial for developing effective and targeted nanocarrier systems. By integrating these approaches with enhanced data infrastructure, explainable AI, computational advances, and machine learning potentials, researchers can develop innovative nanomedicine solutions, ultimately improving therapeutic outcomes.

show abstract

Intelligent Pyroptosis Inducer for Precise and Augmented Tumor Therapy Through Specific Activation Pyroptosis in Tumor

Huo,

Zhu,

et al. 2024

Advanced Science

View full text Add to dashboard Cite

Pyroptosis inducer, a powerful anti‐tumor agent that causes obvious programmed cell death and immune stimulation, has been challenged to trigger specific pyroptotic tumor cell death while keeping pyroptosis silence in normal cells. Here, an intelligent inducer is reported that acts as a reactive oxygen species (ROS) scavenger in normal cells to keep pyroptosis silence, while serving as ROS generator to induce obvious pyroptotic tumor cells death dependent on high hydrogen peroxide levels and near‐infrared laser irradiation. This switchable activity ensures this inducer to precisely kill the tumor cells with augmented immunogenicity while causing minimal damage to normal cells. Moreover, the catalase‐like activity endows this inducer to overcome limitation of tumor hypoxia on ROS generation and show significant pyroptosis activation, further initiating the immune response to inhibit the tumor metastases in vivo. This study provides valuable insights into design new pyroptosis inducer with controllable pyroptosis activity to specifically induce programmed tumor cell pyroptosis for precise and augmented tumor therapy with minimal side effects.

show abstract

Ligand Phase Separation-Promoted, “Squeezing-Out” Mode Explaining the Mechanism and Implications of Neutral Nanoparticles That Escaped from Lysosomes

Cited by 10 publications

References 66 publications

Effect of Nanoparticle Curvature on Its Interaction with Serum Proteins

Effect of Nanoparticle Curvature on Its Interaction with Serum Proteins

Toward the Integration of Machine Learning and Molecular Modeling for Designing Drug Delivery Nanocarriers

Intelligent Pyroptosis Inducer for Precise and Augmented Tumor Therapy Through Specific Activation Pyroptosis in Tumor

Contact Info

Product

Resources

About