MedElevator Войти в исследования
← Поиск публикаций

DOI 10.4103/1673-5374.353482

Медицинская библиотека · Neural regeneration research · 2023

In vivo astrocyte-to-neuron reprogramming for central nervous system regeneration: a narrative review.

Talifu Zuliyaer, Liu Jia-Yi, Pan Yun-Zhu, Ke Han, Zhang Chun-Jia, Xu Xin, Gao Feng, Yu Yan, Du Liang-Jie, Li Jian-Jun

СтатьяОбзорПеревод пока не подготовлен

Аннотация

The inability of damaged neurons to regenerate within the mature central nervous system (CNS) is a significant neuroscientific challenge. Astrocytes are an essential component of the CNS and participate in many physiological processes including blood-brain barrier formation, axon growth regulation, neuronal support, and higher cognitive functions such as memory. Recent reprogramming studies have confirmed that astrocytes in the mature CNS can be transformed into functional neurons. Building on in vitro work, many studies have demonstrated that astrocytes can be transformed into neurons in different disease models to replace damaged or lost cells. However, many findings in this field are controversial, as the source of new neurons has been questioned. This review summarizes progress in reprogramming astrocytes into neurons in vivo in animal models of spinal cord injury, brain injury, Huntington's disease, Parkinson's disease, Alzheimer's disease, and other neurodegenerative conditions.

Для цитирования: Talifu Zuliyaer, Liu Jia-Yi, Pan Yun-Zhu, Ke Han, Zhang Chun-Jia, Xu Xin, Gao Feng, Yu Yan, Du Liang-Jie, Li Jian-Jun. In vivo astrocyte-to-neuron reprogramming for central nervous system regeneration: a narrative review.. Neural regeneration research. 2023. DOI: 10.4103/1673-5374.353482.
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.