MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1038/s41583-026-01057-x

Медицинская библиотека · Nature reviews. Neuroscience · 2026

Using human 3D organoid models to gain mechanistic insight in motor neuron diseases.

Frizzi Benedetta, Barbosa Correia Adriana Margarida, Faravelli Irene, Van Den Bosch Ludo, Corti Stefania

СтатьяОбзорПеревод в очереди

Аннотация

Motor neuron diseases (MNDs) are caused by the progressive loss of motor neurons and eventually lead to paralysis and death. Once viewed as primarily neurocentric, MNDs are now recognized to be driven by intertwined cell-autonomous and non-cell-autonomous mechanisms. Dissecting these interactions is essential for developing effective therapies. Here, we describe induced pluripotent stem cell-derived 3D models that can be used to capture distinct aspects of MND pathology. We show that spinal cord organoids can be used to investigate cell-autonomous mechanisms and motor neuron-glia interactions (with axially elongated spinal cord organoids being particularly useful to study developmental vulnerability) as well as in 3D muscle and combined neuromuscular models to dissect muscle pathology and neuromuscular junction dismantling. In parallel, we discuss advances in bioengineering, machine learning and human trunk-like models, which together can begin to reproduce the coordinated co-development and spatial organization of the multiple tissues affected in MNDs. We discuss how these systems have advanced our understanding of disease mechanisms and highlight opportunities for drug repurposing. Finally, we propose a mechanism-informed and phenotype-informed framework to guide 3D model selection for future research and to prioritize promising avenues for therapeutic development.

Для цитирования: Frizzi Benedetta, Barbosa Correia Adriana Margarida, Faravelli Irene, Van Den Bosch Ludo, Corti Stefania. Using human 3D organoid models to gain mechanistic insight in motor neuron diseases.. Nature reviews. Neuroscience. 2026. DOI: 10.1038/s41583-026-01057-x.

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.