Cheong Yongjeon, Bae Jihyun, Lee Seonkyoung, Ro Jihyeong, Okazawa Hidehiko, Kosaka Hirotaka, Jung Minyoung
Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Republic of Korea.
Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui, Japan.
Transl Psychiatry. 2025 Sep 1;15(1):337. doi: 10.1038/s41398-025-03566-2.
Autism spectrum disorder (ASD), a disorder with heterogeneous etiology, is characterized by abnormal behavioral responses to sensory inputs. However, there is still limited understanding of how brain and epigenetic factors, along with behavioral abnormality, contribute to ASD. After completing Adolescent-Adult Sensory Profile, a self-report questinnaire, 34 individuals with ASD and 72 controls underwent neuroimaging scans to measure brain structural (cortical and subcortical volume) and functional (thalamo-cortical resting-state functional connectivity) characteristics. For epigenetic measures, we computed DNA methylation values of the oxytocin receptor and arginine vasopressin receptor (AVPR) genes from the participants' saliva. When sensory-related behavior was the default baseline, a machine learning algorithm demonstrated that the neuroimaging-epigenetic model outperformed the neuroimaging model or the epigenetic model. Thalamo-cortical hyperconnectivity and AVPR 1A epigenetic modification were found to be significant contributing factors in these models. By integrating neuroimaging and epigenetic biomarkers with behaviors, a more precise diagnosis of ASD can be achieved.
自闭症谱系障碍(ASD)是一种病因异质性的疾病,其特征是对感觉输入的行为反应异常。然而,对于大脑和表观遗传因素以及行为异常如何导致ASD,人们的了解仍然有限。在完成青少年-成人感觉概况(一份自我报告问卷)后,34名ASD患者和72名对照者接受了神经影像学扫描,以测量大脑结构(皮质和皮质下体积)和功能(丘脑-皮质静息态功能连接)特征。对于表观遗传测量,我们从参与者的唾液中计算催产素受体和精氨酸加压素受体(AVPR)基因的DNA甲基化值。当感觉相关行为作为默认基线时,一种机器学习算法表明,神经影像学-表观遗传模型优于神经影像学模型或表观遗传模型。丘脑-皮质高连接性和AVPR 1A表观遗传修饰被发现是这些模型中的重要促成因素。通过将神经影像学和表观遗传生物标志物与行为相结合,可以实现对ASD更精确的诊断。