Advanced materials (Deerfield Beach, Fla.) · 2025
Peptide Amphiphiles Hitchhike on Endogenous Biomolecules for Enhanced Cancer Imaging and Therapy.
СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
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.
Xiang Li, Stewart Morgan R, Mooney Kailin, Dai Mingchong, Drennan Samuel, Holland Samantha, Quentel Arnaud, Sabuncu Sinan, Kingston Benjamin R, J Dengos Isabel, Bonic Karla, Goncalves Florian, Yi Xin, Henderson Michael I, Ranganathan Srivathsan, Branchaud Bruce P, Muldoon Leslie L, Jr Ramon F Barajas, Fischer Jared M, Yildirim Adem
Аннотация
The interactions of nanomaterials with biomolecules in vivo determine their biological fate. Here, it is shown that self-assembled peptide amphiphile (PA) nanostructures can dynamically interact with endogenous biomolecules and take advantage of naturally occurring processes to target a broad range of solid tumors. In circulation, self-assembled PA nanostructures disassemble and reassemble mainly with lipoproteins, which prolongs blood circulation and dramatically improves tumor accumulation and retention. Mechanistic studies suggested that PAs internalize into cancer cells by assembling with their cell membranes and independently of specific receptors. By exploiting these interactions, a PA developed in this study (namely Self-Assembly - Glutamic acid, SA-E) demonstrates specific accumulation in various xenograft, syngeneic, patient-derived xenograft, or transgenic rodent models. In addition, SA-E enabled the effective delivery of highly potent chemotherapy to different syngeneic and xenografted tumors with reduced side effects. With its simple and modular design and universal tumor accumulation mechanism, SA-E represents a promising platform for broad applications in cancer imaging and therapy.