Zhuo Chuanjun, Tian Hongjun, Chen Jiayue, Li Qianchen, Yang Lei, Zhang Qiuyu, Chen Guangdong, Cheng Langlang, Zhou Chunhua, Song Xueqin
Key Laboratory of Real Time Tracing of Brian Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China.
Digital Analysis Center of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China.
Front Genet. 2022 Aug 19;13:880027. doi: 10.3389/fgene.2022.880027. eCollection 2022.
Cognitive impairment is highly prevalent in patients with major psychiatric disorders (MPDs), including schizophrenia (SCZ), bipolar disorder, major depressive disorder, in whom it can be highly disruptive to community functioning and worsen prognosis. Previously, genetic factors and cognitive impairments in MPD patients have been examined mostly in isolated circuits rather than in the whole brain. In the present study, genetic, neuroimaging, and psychometric approaches were combined to investigate the relationship among genetic factors, alterations throughout the brain, and cognitive impairments in a large cohort of patients diagnosed with SCZ, with a reference healthy control (HC) group. Single nucleotide polymorphisms (SNPs) in SCZ-risk genes were found to be strongly related to cognitive impairments as well as to gray matter volume (GMV) and functional connectivity (FC) alterations in the SCZ group. Annotating 136 high-ranking SNPs revealed 65 affected genes (including , , , , , , and ). Only one, a SNP (rs1006737), correlated with GMV ( = 0:19 = 0.015) and FC ( = 0.21, = 0.0074) in SCZ patients. GMV and FC alterations correlated with one another broadly across brain regions. Moreover, the present data demonstrate three-way SNP-FC-GMV associations in patients with SCZ, thus providing clues regarding potential genetic bases of cognition impairments in SCZ. SNP-FC-GMV relationships correlated with visual learning and reasoning dimensions of cognition. These data provide evidence that SCZ-related cognitive impairments may reflect genetically underlain whole-brain structural and functional alterations.
认知障碍在患有包括精神分裂症(SCZ)、双相情感障碍、重度抑郁症在内的主要精神疾病(MPD)的患者中非常普遍,认知障碍会严重干扰其社会功能并使预后恶化。此前,MPD患者的遗传因素和认知障碍大多是在孤立的神经回路中进行研究,而非在全脑范围内。在本研究中,我们结合了遗传、神经影像学和心理测量方法,在一大群被诊断为SCZ的患者以及一个健康对照(HC)参考组中,研究遗传因素、全脑改变与认知障碍之间的关系。我们发现SCZ风险基因中的单核苷酸多态性(SNP)与SCZ组的认知障碍以及灰质体积(GMV)和功能连接(FC)改变密切相关。对136个高排名SNP进行注释后发现了65个受影响的基因(包括 、 、 、 、 、 和 )。在SCZ患者中,只有一个SNP(rs1006737)与GMV( = 0.19, = 0.015)和FC( = 0.21, = 0.0074)相关。GMV和FC改变在大脑各区域广泛相互关联。此外,本研究数据表明SCZ患者中存在SNP-FC-GMV三元关联,从而为SCZ认知障碍的潜在遗传基础提供了线索。SNP-FC-GMV关系与认知的视觉学习和推理维度相关。这些数据提供了证据,表明与SCZ相关的认知障碍可能反映了遗传基础上的全脑结构和功能改变。