Antifouling Immunomodulatory Copolymer Architectures That Inhibit the Fibrosis of Implants.

Immune reactions to medical implants often lead to encapsulation by fibrotic tissue and impaired device function. This process is thought to initiate by protein adsorption, which enables immune cells to attach and mount an inflammatory response. Previously, several antifibrotic materials have been either designed to reduce protein adsorption or discovered via high-throughput screens (HTS) to favorably regulate inflammation.

Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy.

Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design. We created a dataset of >9,000 lipid nanoparticle activity measurements and used it to train a directed message-passing neural network for prediction of nucleic acid delivery with diverse lipid structures.

Evidence of boride-borylene ligand-tautomerism leading to a remote C-C-bond and concomitant boryl ligand formation.

The formation of a rhodium pincer-type complex with a boron-based donor ligand and its reactivity are reported. The starting complex contains a formal borylene moiety, stabilised by two pyridine substituents. Quantum chemical investigations indicate the possibility of deprotonation of the central donor group of the type pyBH in this complex.

Zwitterionic Polymer-Functionalized Lipid Nanoparticles for the Nebulized Delivery of mRNA.

Lipid nanoparticles (LNPs) have great potential to enable inhaled delivery of mRNA to treat pulmonary diseases. However, this potential has been limited by the challenge of nebulizing the LNPs. Nebulization of LNPs can cause LNPs to aggregate and release encapsulated mRNA, limiting their delivery efficacy.