Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry & Biomedical Science, Queen's University Belfast, UK.
Institute of Molecular Medicine, University of Southern Denmark, Odense C, Denmark.
Eur J Neurosci. 2023 Nov;58(9):3921-3931. doi: 10.1111/ejn.16155. Epub 2023 Oct 8.
Up to 80% of children with autism spectrum disorder have at least one other neuropsychiatric comorbidity. The causes of such disorders are highly genetic, yet many studies fail to take analysis further than risk gene discovery to see cellular and mechanistic changes occurring. Therefore, the goal of this study was to unveil novel gene expression signatures involved in important neurodevelopmental processes that, when disrupted, lead to each of the autism comorbidities of interest. We achieved this by analysing a single-nuclei RNA sequencing dataset with prefrontal cortex samples from autism spectrum disorder plus comorbidities for differentially expressed genes. The highest number of alterations was seen in excitatory neurons, which also showed differential population and cell-cell interactions across disorders and an increase in expression of genes involved in neurodevelopmental pathways. Interestingly, the group without comorbidities displayed an increase in neuron-neuron interactions yet a decrease in population number, suggesting a major rewiring of neuronal connections. Further analysis of the topmost significant genes from this cell type in developing prefrontal cortex datasets revealed interesting expression trajectories corresponding to important time points during corticogenesis. This further identified four novel candidate genes that show a potential link to developmental pathways that may contribute to autism and its comorbidities when dysregulated. The study provides a better understanding of co-occurring conditions at a transcriptomic and cell-type level and thereby aid future research in providing earlier diagnosis, care and intervention.
高达 80%的自闭症谱系障碍儿童至少存在一种其他神经精神共病。这些疾病的原因高度遗传,但许多研究未能进一步深入分析,以观察发生的细胞和机制变化。因此,本研究的目的是揭示涉及重要神经发育过程的新基因表达特征,当这些过程受到干扰时,会导致自闭症共病。我们通过分析自闭症谱系障碍加共病的前额叶皮层样本的单细胞 RNA 测序数据集来实现这一目标,以检测差异表达基因。在兴奋性神经元中观察到的改变最多,这些神经元在不同疾病中表现出不同的群体和细胞间相互作用,以及参与神经发育途径的基因表达增加。有趣的是,没有共病的组显示出神经元-神经元相互作用的增加,但群体数量减少,表明神经元连接的主要重布线。对来自这种细胞类型的最显著基因在发育中的前额叶皮层数据集中的进一步分析揭示了与皮质发生过程中的重要时间点相对应的有趣表达轨迹。这进一步确定了四个新的候选基因,它们可能与发育途径有关,当失调时可能导致自闭症及其共病。该研究提供了在转录组和细胞类型水平上对共病情况的更好理解,从而有助于未来的研究提供早期诊断、护理和干预。