MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1021/acsnano.5c08317

Медицинская библиотека · ACS nano · 2025

Modulating Amyloid Pathology-Neural Hyperexcitability Crosstalk for Alzheimer's Disease Therapy.

Wang Ying, Li Jinfu, Zhang Ding, Feng Yinyao, Zhou Mengni, Zhou Chang, Wang Dijia, Qiu Gaolin, Dai Wei, Yang Zhilai, Zhang Yunjiao, Zhang Li, Liu Xuesheng, Zhang Jiqian

СтатьяПеревод пока не подготовлен

Аннотация

Current therapies for Alzheimer's disease (AD) primarily target amyloid-β (Aβ) pathology using monoclonal antibodies, yet their limited efficacy partly results from unintended exacerbation of neural hyperexcitability. This highlights a critical but under-appreciated link between Aβ clearance and neuronal network dysfunction. Here, we designed R@AClipo, a nanotherapeutic platform that codelivers the TREM2 agonist peptide COG1410 and the glutamate modulator riluzole via Angiopep-2-modified liposomes capable of crossing the blood-brain barrier. In AD model mice, R@AClipo upregulated TREM2 expression and enhanced microglial-mediated Aβ clearance. Concurrently, it reduced glutamate accumulation and mitigated neuronal hyperexcitability, as measured by in vivo fiber photometry. Notably, TREM2-driven Aβ clearance alone modestly reduced hyperexcitability, independent of riluzole, contrasting with the excitatory effects frequently associated with antibody-based Aβ therapies. This combinatorial strategy improved cognitive performance and restored neural activity patterns without observable toxicity. Together, these findings support a physiologically compatible strategy that targets the pathological crosstalk between Aβ accumulation and neural hyperexcitability, offering a promising avenue for AD intervention.

Для цитирования: Wang Ying, Li Jinfu, Zhang Ding, Feng Yinyao, Zhou Mengni, Zhou Chang, Wang Dijia, Qiu Gaolin, Dai Wei, Yang Zhilai, Zhang Yunjiao, Zhang Li, Liu Xuesheng, Zhang Jiqian. Modulating Amyloid Pathology-Neural Hyperexcitability Crosstalk for Alzheimer's Disease Therapy.. ACS nano. 2025. DOI: 10.1021/acsnano.5c08317.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

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.