Division of Evolution & Genomic Sciences, School of Biological Sciences, Manchester Academic Health Science Center, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
Division of Evolution & Genomic Sciences, School of Biological Sciences, Manchester Academic Health Science Center, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
Neurosci Biobehav Rev. 2021 Oct;129:389-421. doi: 10.1016/j.neubiorev.2021.07.015. Epub 2021 Jul 16.
Maternal immune activation (mIA) during pregnancy is hypothesised to disrupt offspring neurodevelopment and predispose offspring to neurodevelopmental disorders such as schizophrenia. Rodent models of mIA have explored possible mechanisms underlying this paradigm and provide a vital tool for preclinical research. However, a comprehensive analysis of the molecular changes that occur in mIA-models is lacking, hindering identification of robust clinical targets. This systematic review assesses mIA-driven transcriptomic and epigenomic alterations in specific offspring brain regions. Across 118 studies, we focus on 88 candidate genes and show replicated changes in expression in critical functional areas, including elevated inflammatory markers, and reduced myelin and GABAergic signalling proteins. Further, disturbed epigenetic markers at nine of these genes support mIA-driven epigenetic modulation of transcription. Overall, our results demonstrate that current outcome measures have direct relevance for the hypothesised pathology of schizophrenia and emphasise the importance of mIA-models in contributing to the understanding of biological pathways impacted by mIA and the discovery of new drug targets.
母体免疫激活(mIA)在怀孕期间被假设会破坏后代的神经发育,并使后代易患精神分裂症等神经发育障碍。mIA 的啮齿动物模型探索了这一范例背后的可能机制,并为临床前研究提供了重要工具。然而,mIA 模型中发生的分子变化的综合分析仍然缺乏,这阻碍了对稳健的临床靶点的识别。本系统评价评估了特定后代大脑区域中 mIA 驱动的转录组和表观基因组改变。在 118 项研究中,我们重点关注了 88 个候选基因,并显示在关键功能区域中表达发生了复制性变化,包括炎症标志物升高和少突胶质细胞和 GABA 能信号蛋白减少。此外,这 9 个基因中的表观遗传标记的紊乱支持 mIA 驱动的转录的表观遗传调节。总的来说,我们的结果表明,当前的结果测量与精神分裂症的假设病理学直接相关,并强调了 mIA 模型在理解受 mIA 影响的生物学途径和发现新的药物靶点方面的重要性。