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自闭症谱系障碍中的生物标志物和信号通路:基于蛋白质组学和代谢组学数据的个体荟萃分析。

Biomarkers and pathways in autism spectrum disorder: An individual meta-analysis based on proteomic and metabolomic data.

作者信息

Xie Kun, Sun Yi, Li Xue, Yang Shuo, Wang Menghe, Zhang Yi, Wang Qi, Wu Kunpeng, Kong Di, Guo Tingting, Luo Xiangyang, Chen Wen

机构信息

Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.

Sun Yat-sen Centre for Migrant Health Policy, Sun Yat-sen University, No. 74 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, Guangdong Province, P. R. China.

出版信息

Eur Arch Psychiatry Clin Neurosci. 2024 Oct 3. doi: 10.1007/s00406-024-01922-9.

Abstract

The utilization of biomarkers for the diagnosis and management of autism spectrum disorders (ASD) remains a relatively unexplored frontier in clinical practice. Proteomics and metabolomics are important tools for revealing key biomarkers and evaluating biological pathways in ASD. We conducted an individual meta-analysis to compare the consistency of biomarkers of ASD from central nervous system (brain and cerebrospinal fluid), circulatory system (blood), and non-invasive samples (urine, saliva, and faeces) and performed pathway enrichment analyses to identify pathways enriched in ASD. After screening 926 proteomics and 619 metabolomics articles, we collected data from 10 studies involving 940 differential proteins and 16 studies assessing a total of 748 differential metabolites. In brain tissue, blood, and urine of ASD cases and controls, flotillin-2 (FLOT2), apolipoprotein E (ApoE), and EH domain-containing protein 3 (EHD3) exhibit differential expression, while vinculin (VCL) displays variations in saliva, blood, and urine. Similarly, in case-control studies, gelsolin (GSN) shows differential expression in brain tissue, saliva, and urine, and malate dehydrogenase 2 (MDH2) in brain tissue, blood, and saliva. Hippuric acid and salicyluric acid were simultaneously found in the brain, blood, urine, and faeces. In terms of pathways, glycolysis/gluconeogenesis, carbon metabolism, and glutathione metabolism were enriched in the brain as well as in saliva or urine. In our study, we identified six shared protein and two metabolic markers in central nervous system, circulatory system, and non-invasive samples, underscoring their potential value for ASD diagnosis and management, warranting further research.

摘要

生物标志物在自闭症谱系障碍(ASD)诊断和管理中的应用在临床实践中仍是一个相对未被探索的领域。蛋白质组学和代谢组学是揭示ASD关键生物标志物和评估生物学途径的重要工具。我们进行了一项个体荟萃分析,以比较来自中枢神经系统(大脑和脑脊液)、循环系统(血液)和非侵入性样本(尿液、唾液和粪便)的ASD生物标志物的一致性,并进行通路富集分析以确定ASD中富集的通路。在筛选了926篇蛋白质组学和619篇代谢组学文章后,我们从10项涉及940种差异蛋白的研究和16项共评估748种差异代谢物的研究中收集了数据。在ASD病例和对照的脑组织、血液和尿液中,浮舰蛋白-2(FLOT2)、载脂蛋白E(ApoE)和含EH结构域蛋白3(EHD3)表现出差异表达,而纽蛋白(VCL)在唾液、血液和尿液中表现出变化。同样,在病例对照研究中,凝溶胶蛋白(GSN)在脑组织、唾液和尿液中表现出差异表达,而苹果酸脱氢酶2(MDH2)在脑组织、血液和唾液中表现出差异表达。马尿酸和水杨尿酸同时在大脑、血液、尿液和粪便中被发现。在通路方面,糖酵解/糖异生、碳代谢和谷胱甘肽代谢在大脑以及唾液或尿液中富集。在我们的研究中,我们在中枢神经系统、循环系统和非侵入性样本中鉴定出六种共享蛋白和两种代谢标志物,突出了它们在ASD诊断和管理中的潜在价值,值得进一步研究。

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