Hewitson Laura, Mathews Jeremy A, Devlin Morgan, Schutte Claire, Lee Jeon, German Dwight C
The Johnson Center for Child Health and Development, Austin, TX, United States of America.
Bioinformatics & Computational Biology Program, Departments of Mathematical Sciences and Biological Sciences, University of Texas at Dallas, Dallas, TX, United States of America.
PLoS One. 2024 Dec 19;19(12):e0302951. doi: 10.1371/journal.pone.0302951. eCollection 2024.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and social interaction and restricted, repetitive patterns of behavior, interests, or activities. Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. A wide range of putative biological markers for ASD are currently being investigated. Proteomic analyses indicate that the levels of many proteins in plasma/serum are altered in ASD, suggesting that a panel of proteins may provide a blood biomarker for ASD. Serum samples from 76 boys with ASD and 78 typically developing (TD) boys, 2-10 years of age, were analyzed to identify possible early biological markers for ASD. Proteomic analysis of serum was performed using SomaLogic's SOMAScanTM assay 1.3K platform. A total of 1,125 proteins were analyzed. There were 86 downregulated proteins and 52 upregulated proteins in ASD (FDR < 0.05). Combining three different algorithms, we found a panel of 12 proteins that identified ASD with an area under the curve (AUC) = 0.8790±0.0572, with specificity and sensitivity of 0.8530±0.1076 and 0.8324±0.1137, respectively. All 12 proteins were significantly different in ASD compared with TD boys, and 4 were significantly correlated with ASD severity as measured by ADOS total scores. Using machine learning methods, a panel of serum proteins was identified that may be useful as a blood biomarker for ASD in boys. Further verification of the protein biomarker panel with independent test sets is warranted.
自闭症谱系障碍(ASD)是一种神经发育障碍,其特征在于社交沟通和社交互动方面的缺陷,以及行为、兴趣或活动的受限和重复模式。鉴于ASD缺乏特异性药物治疗且该疾病存在临床异质性,当前生物标志物的研究主要致力于识别用于确定ASD风险或辅助诊断的标志物。目前正在研究多种假定的ASD生物标志物。蛋白质组学分析表明,ASD患者血浆/血清中许多蛋白质的水平发生了改变,这表明一组蛋白质可能为ASD提供血液生物标志物。分析了76名2至10岁患有ASD的男孩和78名发育正常(TD)男孩的血清样本,以确定ASD可能的早期生物标志物。使用SomaLogic公司的SOMAScanTM分析1.3K平台对血清进行蛋白质组学分析。共分析了1125种蛋白质。ASD中有86种蛋白质下调,52种蛋白质上调(错误发现率<0.05)。结合三种不同算法,我们发现一组12种蛋白质,其识别ASD的曲线下面积(AUC)=0.8790±0.0572,特异性和敏感性分别为0.8530±0.1076和0.8324±0.1137。与TD男孩相比,所有12种蛋白质在ASD中均有显著差异,其中4种与通过ADOS总分衡量的ASD严重程度显著相关。使用机器学习方法,确定了一组血清蛋白质,它们可能作为男孩ASD的血液生物标志物。有必要用独立测试集对蛋白质生物标志物组进行进一步验证。