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      个体基因组与先兆子痫的交互作用对孤独症谱系障碍症状严重程度的影响 Translated title: Impact of interaction between individual genomes and preeclampsia on the severity of autism spectrum disorder symptoms

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          Abstract

          目的

          孤独症谱系障碍(autism spectrum disorder,ASD)是一种复杂的神经发育障碍。既往研究表明,遗传易感性和环境暴露,如母亲妊娠期先兆子痫(preeclampsia,PE),在ASD的病理机制中扮演重要角色。然而,遗传因素和环境因素的相互作用对于ASD表型严重程度的具体影响尚不明确。本研究通过构建基因-环境模型,旨在探讨个体基因组中的新发变异(de novo variants,DNVs)和常见变异与母亲妊娠期PE暴露的交互作用对ASD表型严重程度的影响。

          方法

          从西蒙斯孤独症收集项目(Simons Simplex Collection,SSC)数据库中提取4~18岁的单纯特发性ASD患者的表型数据。根据ASD患者的生物学母亲是否患有PE(即患者是否PE暴露),将研究对象分为PE +组和PE -组;将未携带DNVs的研究对象分为DNV -PE +组和DNV -PE -组,将携带DNVs的研究对象分为DNV +PE +组和DNV +PE -组;将多基因风险评分(polygenic risk score,PRS)低于其中位数的研究对象分为PRS lowPE +组和PRS lowPE -组,将PRS高于或等于其中位数的研究对象分为PRS highPE +组和PRS highPE -组。ASD的核心表型评估包括适应和认知能力、社交互惠能力、语言和交流能力、刻板行为。适应和认知能力评分包括文兰适应行为量表第2版(Vineland Adaptive Behavior Scales, Second Edition,VABS-II)中自适应行为的综合评分、SSC数据库中评定的言语智商(verbal intelligence quotient,VIQ)、SSC数据库中评定的非言语智商(nonverbal intelligence quotient,NVIQ)。社交互惠能力评分包括孤独症诊断访谈量表-修订版(Autism Diagnostic Interview-Revised,ADI-R)中社会维度(ADI-R social domain,ADI-R SD)评分、孤独症诊断观察表(Autism Diagnostic Observation Schedule,ADOS)中社会情感维度(ADOS social affective domain,ADOS SA)评分、社交反应量表(Social Responsiveness Scale,SRS)的正态性分布评分。语言和交流能力评分包括ADI-R中言语交流维度(ADI-R verbal communication domain,ADI-R VC)评分、ADI-R中非言语交流维度(ADI-R nonverbal communication domain,ADI-R NVC)评分、ADOS中人际交往维度(ADOS communication and social domain,ADOS CS)评分。刻板行为评分包括ADI-R中刻板行为和局限兴趣维度(ADI-R restricted and repetitive behaviors domain,ADI-R RRB)评分、ADOS中刻板行为维度(ADOS repetitive domain,ADOS REP)评分、重复刻板行为量表修订版(Repetitive Behavior Scale-Revised,RBS-R)评分。通过构建线性回归模型,来探讨ASD患者PE暴露及其与个人基因组(包括DNVs和常见变异)的交互作用对其ASD核心表型的影响。进一步使用Metascape网站对与DNVs相关的ASD候选基因进行基因本体论(gene ontology,GO)富集分析,并使用来自BrainSpan数据库中RNA测序(RNA-seq)数据探讨基因的时空表达模式。

          结果

          纳入2 439例有DNVs信息记录并已明确是否存在PE暴露的ASD患者,其中PE +组146例和PE -组2 293例,2组之间SRS( β=2.01, P=0.08)和ADI-R NVC( β=-0.62, P=0.09)的差异有倾向性。在2 439例记录DNVs信息并已明确是否存在PE暴露的研究对象中,DNV -PE -组、DNV -PE +组、DNV +PE -组和DNV +PE +组分别有1 454、90、839和56例。单独分析PE暴露的主效应,发现PE暴露在SRS( β=3.71, P=0.01)和RBS-R( β=4.54, P=0.05)方面的影响有统计学意义;分析DNVs与PE的交互作用,发现交互作用在SRS( β=-4.17, P=0.06)方面的影响有倾向性。在2 236例获得PRS的研究对象中,PRS lowPE -组、PRS lowPE +组、PRS highPE -组和PRS highPE +组分别有1 033、72、1 069例和62例。单独分析PE的主效应,发现PE在SRS( β=4.32, P<0.001)和RBS-R( β=5.87, P=0.02)方面的影响有统计学意义;分析PRS与PE的交互作用,发现交互作用在SRS( β=-4.90, P=0.03)和ADI-R NVC( β=-1.43, P=0.04)方面的影响有统计学意义,在NVIQ( β=9.61, P=0.08)和RBS-R( β=-6.20, P=0.08)方面的影响有倾向性。此外,PE暴露的患者所携带的DNVs基因富集于上皮细胞向间充质细胞转变的调节和DNA结合转录因子活性的调节过程。时空表达模式分析表明,这些调节过程富集的基因在出生前的表达水平高于出生后。

          结论

          作为影响ASD发生的环境因素,PE暴露与ASD表型严重程度的增加有关。同时,PE暴露和遗传因素的交互作用对于ASD表型的变化至关重要。在PE暴露的背景下,具有高遗传风险常见变异的ASD患者在社交互惠和语言交流能力方面可能表现出改善。相较而言,DNVs与PE的交互作用虽然也可能有助于改善症状,但效果不如常见变异显著。这种差异性表明,在同样的PE暴露条件下,携带DNVs或具有高遗传风险常见变异的ASD患者可能会表现出不同程度的症状变化。在ASD病理学研究中应考虑遗传和环境因素的共同作用。

          Translated abstract

          Objective

          Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder.

          Prior research suggests that genetic susceptibility and environmental exposures, such as maternal preeclampsia (PE) during pregnancy, play key roles in ASD pathogenesis. However, the specific effects of the interaction between genetic and environmental factors on ASD phenotype severity remain unclear. This study aims to investigate how interactions between de novo variants (DNVs) and common variants in individual genomes and PE exposure affect ASD symptom severity by constructing a gene-environment model.

          Methods

          Phenotypic data were obtained from the Simons Simplex Collection (SSC) database for idiopathic ASD patients aged 4-18. Subjects were divided based on maternal PE status: PE + (exposed) and PE - (unexposed) groups. Those without DNVs were divided into DNV -PE + and DNV -PE - groups, and those with DNVs into DNV +PE + and DNV +PE - groups. Based on polygenic risk scores (PRS), subjects below the median were classified into PRS lowPE + and PRS lowPE - groups, and those at or above the median into PRS highPE + and PRS highPE - groups. Core ASD phenotypic assessed included adaptive and cognitive abilities, social reciprocity, language and communication skills, and repetitive behaviors. Adaptive and cognitive abilities were scored using adaptive behavior composite scores from the Vineland Adaptive Behavior Scales, Second Edition (VABS-II), along with verbal intelligence quotient (VIQ) and nonverbal intelligence quotient (NVIQ) scores from the SSC database. Social reciprocity abilities were measured using the social domain scores from the Autism Diagnostic Interview-Revised (ADI-R SD), social affective domain scores from the Autism Diagnostic Observation Schedule (ADOS SA), and normalized scores from the Social Responsiveness Scale (SRS). Language and communication abilities were assessed through verbal communication domain (ADI-R VC), nonverbal communication domain (ADI-R NVC) scores from ADI-R, and the communication and social domain scores from ADOS (ADOS CS). Repetitive behaviors were measured using the restricted and repetitive behaviors domain scores from ADI-R (ADI-R RRB), the repetitive domain scores from ADOS (ADOS REP), and the overall scores from the Repetitive Behavior Scale-Revised (RBS-R). Linear regression models were constructed to explore the impact of PE exposure and its interaction with individual genomes (including DNVs and common variants) on core ASD phenotypes. Additionally, ASD candidate genes associated with DNVs underwent gene ontology (GO) enrichment analysis via Metascape, and temporal and spatial gene expression patterns were examined using RNA sequencing (RNA-seq) data from the BrainSpan database.

          Results

          A total of 2 439 ASD patients with recorded DNV information and confirmed PE exposure status were included, with 146 in the PE + group and 2 293 in the PE - group. There was a trend toward differences between these two groups in SRS ( β=2.01, P=0.08) and ADI-R NVC ( β=-0.62, P=0.09). Among the 2 439 participants, there were 1 454 in the DNV -PE - group, 90 in the DNV -PE + group, 839 in the DNV +PE - group, and 56 in the DNV +PE + group. Analysis of the main effect of PE exposure showed significant impacts on SRS ( β=3.71, P=0.01) and RBS-R ( β=4.54, P=0.05). Interaction analysis between DNVs and PE exposure revealed a trend toward significance in SRS ( β=-4.17, P=0.06). In the 2 236 participants with available PRS data, there were 1 033 in the PRS lowPE - group, 72 in the PRS lowPE + group, 1 069 in the PRS highPE - group, and 62 in the PRS highPE + group. Analysis of the main effect of PE exposure showed significant impacts on SRS ( β=4.32, P<0.001) and RBS-R ( β=5.87, P=0.02). The interaction between PRS and PE exposure showed significant effects on SRS ( β=-4.90, P=0.03) and ADI-R NVC ( β=-1.43, P=0.04), with trends in NVIQ ( β=9.61, P=0.08) and RBS-R ( β=-6.20, P=0.08). Additionally, DNV-enriched genes in PE-exposed patients were associated with regulatory of epithelial-to-mesenchymal transition and DNA-binding transcription factor activity. Temporal and spatial expression pattern analysis indicated that genes enriched in these regulatory processes showed higher expression levels prenatally compared to postnatally.

          Conclusion

          PE exposure, an environmental factor influencing ASD, is associated with increased ASD symptom severity. The interaction of PE exposure with genetic factors is crucial in modulating ASD phenotypes. Among PE-exposed individuals, ASD patients with high genetic risk for common variants may show improvements in social reciprocity and communication skills. In contrast, while DNVs may also aid in symptom improvement, their impact is less pronounced than that of common variants. These differences suggest that under similar PE exposure conditions, ASD patients with DNVs or high-risk common variants may exhibit varying degrees of symptom changes. ASD pathology research should consider the combined influence of genetic and environmental factors.

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          Most cited references40

          • Record: found
          • Abstract: found
          • Article: found

          Identification of common genetic risk variants for autism spectrum disorder

          Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.
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            • Record: found
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            Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

            We present the largest exome sequencing study of autism spectrum disorder (ASD) to date (n = 35,584 total samples, 11,986 with ASD). Using an enhanced analytical framework to integrate de novo and case-control rare variation, we identify 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 show higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 show higher frequencies in individuals ascertained to have ASD; comparing ASD cases with mutations in these groups reveals phenotypic differences. Expressed early in brain development, most risk genes have roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fall within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes is enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
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              The contribution of de novo coding mutations to autism spectrum disorder.

              Whole exome sequencing has proven to be a powerful tool for understanding the genetic architecture of human disease. Here we apply it to more than 2,500 simplex families, each having a child with an autistic spectrum disorder. By comparing affected to unaffected siblings, we show that 13% of de novo missense mutations and 43% of de novo likely gene-disrupting (LGD) mutations contribute to 12% and 9% of diagnoses, respectively. Including copy number variants, coding de novo mutations contribute to about 30% of all simplex and 45% of female diagnoses. Almost all LGD mutations occur opposite wild-type alleles. LGD targets in affected females significantly overlap the targets in males of lower intelligence quotient (IQ), but neither overlaps significantly with targets in males of higher IQ. We estimate that LGD mutation in about 400 genes can contribute to the joint class of affected females and males of lower IQ, with an overlapping and similar number of genes vulnerable to contributory missense mutation. LGD targets in the joint class overlap with published targets for intellectual disability and schizophrenia, and are enriched for chromatin modifiers, FMRP-associated genes and embryonically expressed genes. Most of the significance for the latter comes from affected females.
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                Author and article information

                Contributors
                Role: executive-editor
                Journal
                Zhong Nan Da Xue Xue Bao Yi Xue Ban
                Zhong Nan Da Xue Xue Bao Yi Xue Ban
                zndx
                Journal of Central South University Medical Sciences
                中南大学出版社 (湖南省长沙市湘雅路110号湘雅医学院 )
                1672-7347
                28 August 2024
                : 49
                : 8
                : 1187-1199
                Affiliations
                [1] [1 ] 宁波市第二医院神经内科 ,浙江 宁波 315010 [1 ] Department of Neurology, Ningbo No. 2 Hospital Ningbo Zhejiang 315010
                [2] [2 ] 国科宁波生命与健康产业研究院 ,浙江 宁波 315000 [2 ] Guoke Ningbo Life Science and Health Industry Research Institute Ningbo Zhejiang 315000
                [3] [3 ] 中南大学生命科学学院医学遗传学湖南省重点实验室 长沙 410008 [3 ] Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University Changsha 410008
                [4] [4 ] 国家老年疾病临床医学 研究中心(湘雅医院) 长沙 410008 [4 ] National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University Changsha 410008
                [5] [5 ] 中南大学湘雅医院生物信息中心 长沙 410008 [5 ] Bioinformatics Center, Xiangya Hospital, Central South University Changsha 410008 China
                Author notes

                王晓萌,Email: wangxiaomeng@ 123456ucas.ac.cn , ORCID: 0000-0002-3398-5745

                范伟女,Email: 13685701750@ 123456163.com , ORCID: 0009-0002-6026-2304
                李津臣,Email: lijinchen@ 123456csu.edu.cn , ORCID: 0000-0001-5522-806X
                Article
                1672-7347(2024)08-1187-13 240177
                10.11817/j.issn.1672-7347.2024.240177
                11628217
                79ccc632-7a33-4b92-a379-87959cd19d9c
                ©Journal of Central South University (Medical Science). All rights reserved.

                开放获取 (Open access):本文遵循知识共享许可协议,允许第三方用户按照署名-非商业性使用-禁止演绎4.0(CC BY-NC-ND 4.0)的方式,在任何媒介以任何形式复制、传播本作品( https://creativecommons.org/licenses/by-nc-nd/4.0/)。

                History
                : 21 March 2024
                Funding
                Funded by: 国家自然科学基金
                Award ID: 32070591
                Funded by: 湖湘青年英才
                Award ID: 2021RC3060
                Funded by: 第四轮宁波市医学重点学科建设计划
                Award ID: 2022-B12┫。This work was supported by the National Natural Science Foundation ┣32070591
                Funded by: the Hunan Youth Science and Technology Innovation Talent Project
                Award ID: 2021RC3060
                Funded by: the Fourth Round of Ningbo’s Key Medical Discipline Building Plan China
                Award ID: 2022-B12
                Categories
                Articles

                基因-环境模型,交互作用,孤独症谱系障碍,表型,先兆子痫,新发变异,常见变异,gene-environment model,interaction,autism spectrum disorder,phenotype,preeclampsia,de novo variants,common variants

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