98%
921
2 minutes
20
Viral and synthetic vectors to deliver nucleic acids were key to the rapid development of extraordinarily efficient COVID-19 vaccines. The four-component lipid nanoparticles (LNPs), containing phospholipids, PEG-conjugated lipids, cholesterol, and ionizable lipids, co-assembled with mRNA via a microfluidic technology, are the leading nonviral delivery vector used by BioNTech/Pfizer and Moderna to access COVID-19 mRNA vaccines. LNPs exhibit a statistical distribution of their four components when delivering mRNA. Here, we report a methodology that involves screening libraries to discover the molecular design principles required to realize organ-targeted mRNA delivery and mediate activity with a one-component ionizable multifunctional amphiphilic Janus dendrimer (IAJD) derived from plant phenolic acids. IAJDs co-assemble with mRNA into monodisperse dendrimersome nanoparticles (DNPs) with predictable dimensions, via the simple injection of their ethanol solution in a buffer. The precise location of the functional groups in one-component IAJDs demonstrated that the targeted organs, including the liver, spleen, lymph nodes, and lung, are selected based on the hydrophilic region, while activity is associated with the hydrophobic domain of IAJDs. These principles, and a mechanistic hypothesis to explain activity, simplify the synthesis of IAJDs, the assembly of DNPs, handling, and storage of vaccines, and reduce price, despite employing renewable plant starting materials. Using simple molecular design principles will lead to increased accessibility to a large diversity of mRNA-based vaccines and nanotherapeutics.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303357 | PMC |
http://dx.doi.org/10.3390/pharmaceutics15061572 | DOI Listing |
Adv Sci (Weinh)
September 2025
School of Materials Science and Engineering, Tianjin Key Laboratory of Composite and Functional Materials, State Key Laboratory of Advanced Materials for Intelligent Sensing, Tianjin University, Tianjin, 300072, China.
Organic electrode materials have garnered great attention in recent years, owing to their resource sustainability, structural diversity, and superior compatibility with various ionic species. Among them, quinone-based compounds have attracted particular interest. Notably, compared with para-quinone analogs (e.
View Article and Find Full Text PDFJ Mater Chem B
September 2025
State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, School of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, China.
Mitochondria-targeted photodynamic therapy (PDT) circumvents the short lifetime and action radius limitation of reactive oxygen species (ROS) and greatly improves the anticancer PDT efficacy. However, current approaches require different molecular engineering strategies to separately improve ROS production and introduce mitochondria targeting ability, which involve tedious synthetic procedures. Herein, we report a facile one-step cationization strategy that simultaneously improves the ROS generation efficiency and introduces mitochondria targeting ability for enhanced PDT.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Key Laboratory of Radiopharmaceuticals, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, P. R. China.
Photodynamic therapy (PDT) induces oxidative stress that triggers a compensatory upregulation of intracellular glutathione (GSH), thereby diminishing PDT efficacy. The simultaneous generation of reactive oxygen species and depletion of GSH holds promise for amplifying oxidative damage and enhancing therapeutic outcomes yet remains a challenge. In this work, we present a Type-I supramolecular photosensitizer designed to deplete GSH through a hydrogen atom transfer mechanism while concurrently generating superoxide radicals.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, Pavia 27100, Italy.
Machine learning (ML) and deep learning (DL) methodologies have significantly advanced drug discovery and design in several aspects. Additionally, the integration of structure-based data has proven to successfully support and improve the models' predictions. Indeed, we previously demonstrated that combining molecular dynamics (MD)-derived descriptors with ML models allows to effectively classify kinase ligands as allosteric or orthosteric.
View Article and Find Full Text PDFPhilos Trans A Math Phys Eng Sci
September 2025
School of Physics, Engineering & Technology, University of York, York, UK.
Microscopic swimmers, such as bacteria and archaea, are paradigmatic examples of active matter systems. The study of these systems has given rise to novel concepts such as rectification of bacterial swimmers, in which microstructures can passively separate swimmers from non-swimming, inert particles. Many bacteria and archaea swim using rotary molecular motors to drive helical propellers called flagella or archaella.
View Article and Find Full Text PDF