Samir Hossainy, Seounghun Kang, J. Emiliano Gómez Medellín, Aaron T. Alpar, Kirsten C. Refvik, Yvonne Yoyo Ma, Ivan Vuong, Kevin Chang, Thomas Wang, Ani Solanki, Stuart J. Rowan, Jeffrey A. Hubbell
{"title":"Thermoreversibly assembled polymersomes for highly efficient loading, processing and delivery of protein and siRNA biologics","authors":"Samir Hossainy, Seounghun Kang, J. Emiliano Gómez Medellín, Aaron T. Alpar, Kirsten C. Refvik, Yvonne Yoyo Ma, Ivan Vuong, Kevin Chang, Thomas Wang, Ani Solanki, Stuart J. Rowan, Jeffrey A. Hubbell","doi":"10.1038/s41551-025-01469-7","DOIUrl":null,"url":null,"abstract":"<p>Versatile technologies that can deliver both RNA and protein payloads could streamline development, simplify manufacturing and expand the capabilities of combination therapies. Here we demonstrate an efficient approach to forming ca. 100 nm polymer vesicles (polymersomes) capable of rapid self-assembly without organic solvents, avoiding the need for post-encapsulation purification. Block copolymers are designed with a lower critical solution temperature that renders them soluble in aqueous medium under standard refrigeration, but they spontaneously assemble at room temperature into large batches of nanoparticles with predictable size and morphology. The nanomaterials are designed with charged and biofunctional moieties to drive payload affinity and in vivo targeting, while both siRNA and proteins can be encapsulated during warming at >75% loading efficiencies. Formulations can be stored in a dry state for greater hydrolytic stability under standard refrigeration and can be diluted directly from the vial, bypassing the need for purification required for high scalability. We use our system for in vivo delivery in protein subunit vaccination, immune tolerance induction and siRNA interference therapy in cancer.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"144 1","pages":""},"PeriodicalIF":26.8000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1038/s41551-025-01469-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Versatile technologies that can deliver both RNA and protein payloads could streamline development, simplify manufacturing and expand the capabilities of combination therapies. Here we demonstrate an efficient approach to forming ca. 100 nm polymer vesicles (polymersomes) capable of rapid self-assembly without organic solvents, avoiding the need for post-encapsulation purification. Block copolymers are designed with a lower critical solution temperature that renders them soluble in aqueous medium under standard refrigeration, but they spontaneously assemble at room temperature into large batches of nanoparticles with predictable size and morphology. The nanomaterials are designed with charged and biofunctional moieties to drive payload affinity and in vivo targeting, while both siRNA and proteins can be encapsulated during warming at >75% loading efficiencies. Formulations can be stored in a dry state for greater hydrolytic stability under standard refrigeration and can be diluted directly from the vial, bypassing the need for purification required for high scalability. We use our system for in vivo delivery in protein subunit vaccination, immune tolerance induction and siRNA interference therapy in cancer.
期刊介绍:
Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.