Structure-Guided Engineering of Histidine-Rich pH-Switchable Endosomolytic Peptides for Spleen-Selective siRNA Delivery to Inflammatory Macrophages.
Аннотация
Extrahepatic delivery of small interfering RNA (siRNA) remains a major translational challenge because most nanocarriers preferentially accumulate in the liver, while endosomal sequestration limits productive cytosolic release. Inflammatory macrophages in the spleen are attractive therapeutic targets in systemic inflammation, yet spleen-selective delivery systems with efficient endosomal escape remain underdeveloped. Here, a structure-guided peptide engineering workflow was used to generate histidine-rich, pH-switchable endosomolytic peptides for spleen-selective siRNA delivery. Sequence design integrated pH-dependent charge transition modeling, amphipathic helix prediction, membrane interaction scoring, and safety filtering. Six candidate peptides were synthesized and evaluated for pH-responsive structure, membrane disruption, hemocompatibility, siRNA complexation, serum stability, macrophage uptake, endosomal escape, biodistribution, and anti-inflammatory efficacy. The lead peptide, HSEP-6, showed a predicted net charge increase from +3.1 at pH 7.4 to +7.4 at pH 5.5, helix content increasing from 17% to 56%, and acidic calcein release increasing from 9% to 62%. In inflammatory macrophages and LPS-challenged mice, HSEP-6 enabled efficient siRNA delivery, spleen-selective accumulation, marked Irf5 silencing, reduced TNF-α and IL-6, and no measurable systemic toxicity, supporting histidine-rich pH-switchable peptides as a rational platform for extrahepatic RNA delivery.
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.