糖尿病领域的脑器官研究进展。

IF 3.3 3区 医学 Q2 NEUROSCIENCES Molecular Brain Pub Date : 2024-08-06 DOI:10.1186/s13041-024-01123-4
Ying Su, Aimei Liu, Hongguang Chen, Qingjie Chen, Bo Zhao, Runze Gao, Kangwei Zhang, Tie Peng, Zhenwang Zhang, Changhan Ouyang, Dan Zhu
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引用次数: 0

摘要

人类胚胎干细胞和人类诱导多能干细胞可用于制造称为脑器官的三维组织。它们在结构和功能方面更忠实地复制了人类脑组织的生理和病理特征,更精确地类似于人类胚胎大脑的形态和细胞结构。这使它们成为药物筛选和人脑发育及相关疾病体外研究的宝贵模型。脑器官模型带来的技术突破对不同脑区、脑发育和疾病、脑与其他组织器官的联系以及脑进化等方面的研究具有重要影响。本文讨论了脑器质体的发展、在糖尿病研究中的应用及其进展。
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Research progress of brain organoids in the field of diabetes.

Human embryonic stem cells and human induced pluripotent stem cells may be used to create 3D tissues called brain organoids. They duplicate the physiological and pathological characteristics of human brain tissue more faithfully in terms of both structure and function, and they more precisely resemble the morphology and cellular structure of the human embryonic brain. This makes them valuable models for both drug screening and in vitro studies on the development of the human brain and associated disorders. The technical breakthroughs enabled by brain organoids have a significant impact on the research of different brain regions, brain development and sickness, the connections between the brain and other tissues and organs, and brain evolution. This article discusses the development of brain organoids, their use in diabetes research, and their progress.

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来源期刊
Molecular Brain
Molecular Brain NEUROSCIENCES-
CiteScore
7.30
自引率
0.00%
发文量
97
审稿时长
>12 weeks
期刊介绍: Molecular Brain is an open access, peer-reviewed journal that considers manuscripts on all aspects of studies on the nervous system at the molecular, cellular, and systems level providing a forum for scientists to communicate their findings. Molecular brain research is a rapidly expanding research field in which integrative approaches at the genetic, molecular, cellular and synaptic levels yield key information about the physiological and pathological brain. These studies involve the use of a wide range of modern techniques in molecular biology, genomics, proteomics, imaging and electrophysiology.
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