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Journal of cognitive neuroscience · 2021

From Counting to Retrieving: Neural Networks Underlying Alphabet Arithmetic Learning.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Fias Wim, Sahan Muhammet Ikbal, Ansari Daniel, Lyons Ian M

Аннотация

The clinical translation of exosome-based therapeutics is limited by challenges in long-term storage, stability, and scalability. We developed and optimized a lyophilization protocol to stabilize camel and donkey milk-derived exosomes for oral delivery of ARV-110, a proteolysis-targeting chimera (PROTAC). Using 5% trehalose, 5% mannitol, and 2.5% glycine as cryoprotectants, lyophilization preserved exosome integrity, protein content, and expression of key markers (CD63, CD81, TSG101, Alix) during storage at -80°C. Reconstituted exosomes, maintained particle size and zeta potential comparable to fresh preparations. In vitro, ARV-110-loaded lyophilized exosomes showed enhanced cytotoxicity in LLC cells (p < 0.001) and increased transepithelial transport in MDCK assays (p < 0.05). In rats, ARV-110 delivered via lyophilized exosomes achieved a 1.77-fold higher Cmax and 1.73-fold higher AUC0-24 compared to free drug, with no change in Tmax. Lyophilized exosomes retained over 90% of protein content after 8 weeks at -80°C, whereas non-lyophilized controls retained <25%. These findings demonstrate that lyophilized milk exosomes are a scalable, biocompatible platform for oral delivery of poorly bioavailable therapeutics like PROTACs, addressing major formulation and stability challenges and supporting their translational potential in drug delivery.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты