精神分裂症(面向对象编程)
前额叶皮质
精神科
背景(考古学)
转录组
医学
性别特征
自闭症谱系障碍
自闭症
神经科学
生物
遗传学
基因
基因表达
古生物学
认知
作者
Yan Xia,Cuihua Xia,Yi Jiang,Yu Chen,Jiaqi Zhou,Rujia Dai,Cong Han,Zhongzheng Mao,Chunyu Liu,Chao Chen,Schahram Akbarian,Alexej Abyzov,Nadav Ahituv,Dhivya Arasappan,José Juan Almagro Armenteros,Brian J. Beliveau,Jaroslav Bendl,Sabina Berretta,Rahul Bharadwaj,Arjun Bhattacharya
标识
DOI:10.1126/scitranslmed.adh9974
摘要
Many psychiatric disorders exhibit sex differences, but the underlying mechanisms remain poorly understood. We analyzed transcriptomics data from 2160 postmortem adult prefrontal cortex brain samples from the PsychENCODE consortium in a sex-stratified study design. We compared transcriptomics data of postmortem brain samples from patients with schizophrenia (SCZ), bipolar disorder (BD), and autism spectrum disorder (ASD) with transcriptomics data of postmortem control brains from individuals without a known history of psychiatric disease. We found that brain samples from females with SCZ, BD, and ASD showed a higher burden of transcriptomic dysfunction than did brain samples from males with these disorders. This observation was supported by the larger number of differentially expressed genes (DEGs) and a greater magnitude of gene expression changes observed in female versus male brain specimens. In addition, female patient brain samples showed greater overall connectivity dysfunction, defined by a higher proportion of gene coexpression modules with connectivity changes and higher connectivity burden, indicating a greater degree of gene coexpression variability. We identified several gene coexpression modules enriched in sex-biased DEGs and identified genes from a genome-wide association study that were involved in immune and synaptic functions across different brain cell types. We found a number of genes as hubs within these modules, including those encoding
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