DOI 10.1016/j.ijpharm.2025.126420
Lipid Nanoparticle-based mRNA Therapeutics for Infectious Diseases.
Аннотация
Infectious diseases remain one of the most pressing global health challenges, despite decades of therapeutic research. Many existing treatments are constrained by limited efficacy, adverse effects, and reduced adaptability to rapidly evolving pathogens. The COVID-19 pandemic marked a turning point in vaccine development, leading to the swift creation of mRNA vaccines delivered via lipid nanoparticles (LNP-mRNA). Developed within a year and deployed globally, these vaccines demonstrated exceptional safety, efficacy, and scalability. Their success has driven significant interest in LNP-mRNA platforms for a broader range of infectious diseases. This manuscript presents a comprehensive overview of recent progress in LNP-mRNA therapeutics targeting Herpes Simplex Virus (HSV), Respiratory Syncytial Virus (RSV), Zika virus, Rabies virus, and SARS-CoV-2. Key strategies to enhance mRNA stability, improve intracellular delivery, and enable controlled or targeted release are discussed. Advances in lipid nanoparticle formulation and mRNA sequence engineering are also examined, with emphasis on cell-specific and tissue-specific targeting. The manuscript further outlines current translational challenges, including optimization of LNP composition, biocompatibility, immune system interactions, and clinical development hurdles, supported by recent preclinical and clinical findings. Collectively, the findings discussed highlight the transformative potential of LNP-mRNA therapeutics for development of next-generation, personalized treatments for infectious diseases.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.