In Situ Ligation of High- and Low-Affinity Ligands to Cell Surface Receptors Enables Highly Selective Recognition

Size-Tunable Strategies for a Tumor Targeted Drug Delivery System

Nanoparticles have been widely used in tumor targeted drug delivery, while the antitumor effects are not always satisfactory due to the limited penetration and retention. As we all know, there is a paradox that nanoparticles with large sizes tend to distribute around tumor blood vessels rather than penetrate into tumor parenchyma, while smaller sizes can penetrate deeply but with poor tumor retention. In recent days, an intelligent, size-tunable strategy provided a solution to determine the size problem of nanoparticles and exhibited good application prospects. In this review, we summarize series of stimuli-induced aggregation and shrinkage strategies for tumor targeted drug delivery, which can significantly increase the retention and penetration of nanodrugs in tumor sites at the same time, thus promoting treatment efficacy. Internal (enzymes, pH, and redox) and external (light and temperature) stimuli are introduced to change the morphology of the original nanodrugs through protonation, hydrophobization, hydrogen bond, π-π stacking and enzymolysis-resulted click reactions or dissociation, etc. Apart from applications in oncotherapy, size-tunable strategies also have a great prospect in the diagnosis and real time bioimaging fields, which are also introduced in this review. Finally, the potential challenges for application and future directions are thoroughly discussed, providing guidance for further clinical transformation.

Cancer discrimination by on-cell N-glycan ligation

In the field of molecular imaging, selectivity for target cells is a key determinant of the degree of imaging contrast. Previously, we developed a pre-targeted method by which target cells could be selectively imaged using a labeled N-glycan that was ligated in situ with an integrin-targeted cyclic RGD peptide on the cell surface. Here we demonstrate the power of our method in discriminating various cancerous and non-cancerous cells that cannot be distinguished using conventional RGD ligands. Using four cyclic RGDyK peptides with various linker lengths with five N-glycans, we identify optimal combinations to discriminate six types of α_vβ₃ integrin-expressing cells on 96-well plates. The optimal combinations of RGD and N-glycan ligands for the target cells are fingerprinted on the plates, and then used to selectively image tumors in xenografted mouse models. Using this method, various N-glycan molecules, even those with millimolar affinities for their cognate lectins, could be used for selective cancer cell differentiation.

Unlocking the therapeutic potential of artificial metalloenzymes

In order to harness the functionality of metals, nature has evolved over billions of years to utilize metalloproteins as key components in numerous cellular processes. Despite this, transition metals such as ruthenium, palladium, iridium, and gold are largely absent from naturally occurring metalloproteins, likely due to their scarcity as precious metals. To mimic the evolutionary process of nature, the field of artificial metalloenzymes (ArMs) was born as a way to benefit from the unique chemoselectivity and orthogonality of transition metals in a biological setting. In its current state, numerous examples have successfully incorporated transition metals into a variety of protein scaffolds. Using these ArMs, many examples of new-to-nature reactions have been carried out, some of which have shown substantial biocompatibility. Given the rapid rate at which this field is growing, this review aims to highlight some important studies that have begun to take the next step within this field; namely the development of ArM-centered drug therapies or biotechnological tools.