Li Yanling, Li Rui, Wang Ning, Gu Jiahe, Gao Jingjing
School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Front Neurosci. 2023 Jun 20;17:1203690. doi: 10.3389/fnins.2023.1203690. eCollection 2023.
The gender disparity in autism spectrum disorder (ASD) has been one of the salient features of condition. However, its relationship between the pathogenesis and genetic transcription in patients of different genders has yet to reach a reliable conclusion.
To address this gap, this study aimed to establish a reliable potential neuro-marker in gender-specific patients, by employing multi-site functional magnetic resonance imaging (fMRI) data, and to further investigate the role of genetic transcription molecules in neurogenetic abnormalities and gender differences in autism at the neuro-transcriptional level. To this end, age was firstly used as a regression covariate, followed by the use of ComBat to remove the site effect from the fMRI data, and abnormal functional activity was subsequently identified. The resulting abnormal functional activity was then correlated by genetic transcription to explore underlying molecular functions and cellular molecular mechanisms.
Abnormal brain functional activities were identified in autism patients of different genders, mainly located in the default model network (DMN) and precuneus-cingulate gyrus-frontal lobe. The correlation analysis of neuroimaging and genetic transcription further found that heterogeneous brain regions were highly correlated with genes involved in signal transmission between neurons' plasma membranes. Additionally, we further identified different weighted gene expression patterns and specific expression tissues of risk genes in ASD of different genders.
Thus, this work not only identified the mechanism of abnormal brain functional activities caused by gender differences in ASD, but also explored the genetic and molecular characteristics caused by these related changes. Moreover, we further analyzed the genetic basis of sex differences in ASD from a neuro-transcriptional perspective.
自闭症谱系障碍(ASD)中的性别差异一直是该病症的显著特征之一。然而,不同性别的患者在发病机制与基因转录之间的关系尚未得出可靠结论。
为填补这一空白,本研究旨在通过运用多站点功能磁共振成像(fMRI)数据,在特定性别的患者中建立可靠的潜在神经标志物,并在神经转录水平上进一步探究基因转录分子在自闭症神经遗传异常和性别差异中的作用。为此,首先将年龄用作回归协变量,随后使用ComBat从fMRI数据中去除站点效应,接着识别异常功能活动。然后将由此产生的异常功能活动与基因转录相关联,以探索潜在的分子功能和细胞分子机制。
在不同性别的自闭症患者中识别出异常的脑功能活动,主要位于默认模式网络(DMN)以及楔前叶-扣带回-额叶。神经影像学与基因转录的相关性分析进一步发现,异质性脑区与参与神经元质膜间信号传递的基因高度相关。此外,我们还进一步确定了不同性别的ASD中风险基因的不同加权基因表达模式和特定表达组织。
因此,这项工作不仅确定了ASD中性别差异导致的脑功能活动异常机制,还探索了这些相关变化所引起的遗传和分子特征。此外,我们还从神经转录角度进一步分析了ASD中性别差异的遗传基础。