The impact of antidepressants on human neurodevelopment: Brain organoids as experimental tools

生物 神经科学 转录组 类有机物 诱导多能干细胞 人脑 抗抑郁药 自闭症谱系障碍 生物信息学 自闭症 海马体 精神科 心理学 胚胎干细胞 基因 遗传学 基因表达
作者
Luciana Simões Rafagnin Marinho,Gabrielly Maria Denadai Chiarantin,Juliane Midori Ikebara,Débora Sterzeck Cardoso,Théo Henrique de Lima-Vasconcellos,Guilherme Shigueto Vilar Higa,Mariana Sacrini Ayres Ferraz,Roberto De Pasquale,Silvia Honda Takada,Fábio Papes,Alysson R. Muotri,Alexandre Hiroaki Kihara
出处
期刊:Seminars in Cell & Developmental Biology [Elsevier BV]
卷期号:144: 67-76 被引量:12
标识
DOI:10.1016/j.semcdb.2022.09.007
摘要

The use of antidepressants during pregnancy benefits the mother's well-being, but the effects of such substances on neurodevelopment remain poorly understood. Moreover, the consequences of early exposure to antidepressants may not be immediately apparent at birth. In utero exposure to selective serotonin reuptake inhibitors (SSRIs) has been related to developmental abnormalities, including a reduced white matter volume. Several reports have observed an increased incidence of autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) after prenatal exposure to SSRIs such as sertraline, the most widely prescribed SSRI. The advent of human-induced pluripotent stem cell (hiPSC) methods and assays now offers appropriate tools to test the consequences of such compounds for neurodevelopment in vitro. In particular, hiPSCs can be used to generate cerebral organoids - self-organized structures that recapitulate the morphology and complex physiology of the developing human brain, overcoming the limitations found in 2D cell culture and experimental animal models for testing drug efficacy and side effects. For example, single-cell RNA sequencing (scRNA-seq) and electrophysiological measurements on organoids can be used to evaluate the impact of antidepressants on the transcriptome and neuronal activity signatures in developing neurons. While the analysis of large-scale transcriptomic data depends on dimensionality reduction methods, electrophysiological recordings rely on temporal data series to discriminate statistical characteristics of neuronal activity, allowing for the rigorous analysis of the effects of antidepressants and other molecules that affect the developing nervous system, especially when applied in combination with relevant human cellular models such as brain organoids.
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