Cirnigliaro Matilde, Barbagallo Cristina, Gulisano Mariangela, Domini Carla N, Barone Rita, Barbagallo Davide, Ragusa Marco, Di Pietro Cinzia, Rizzo Renata, Purrello Michele
Section of Biology and Genetics Giovanni Sichel, Department of Biomedical and Biotechnological Sciences, University of CataniaCatania, Italy.
Section of Child and Adolescent Psychiatry, Department of Clinical and Experimental Medicine, University of CataniaCatania, Italy.
Front Mol Neurosci. 2017 Aug 10;10:250. doi: 10.3389/fnmol.2017.00250. eCollection 2017.
Given its prevalence and social impact, Autism Spectrum Disorder (ASD) is drawing much interest. Molecular basis of ASD is heterogeneous and only partially known. Many factors, including disorders comorbid with ASD, like TS (Tourette Syndrome), complicate ASD behavior-based diagnosis and make it vulnerable to bias. To further investigate ASD etiology and to identify potential biomarkers to support its precise diagnosis, we used TaqMan Low Density Array technology to profile serum miRNAs from ASD, TS, and TS+ASD patients, and unaffected controls (NCs). Through validation assays in 30 ASD, 24 TS, and 25 TS+ASD patients and 25 NCs, we demonstrated that miR-140-3p is upregulated in ASD vs.: NC, TS, and TS+ASD (Tukey's test, -values = 0.03, = 0.01, < 0.0001, respectively). ΔCt values for miR-140-3p and YGTSS (Yale Global Tic Severity Scale) scores are positively correlated (Spearman = 0.33; Benjamini-Hochberg = 0.008) and show a linear relationship ( = 0.002). Network functional analysis showed that nodes controlled by miR-140-3p, especially CD38 and NRIP1 which are its validated targets, are involved in processes convergingly dysregulated in ASD, such as synaptic plasticity, immune response, and chromatin binding. Biomarker analysis proved that serum miR-140-3p can discriminate among: (1) ASD and NC (Area under the ROC curve, AUC: 0.70; sensitivity: 63.33%; specificity: 68%); (2) ASD and TS (AUC: 0.72; sensitivity: 66.66%; specificity: 70.83%); (3) ASD and TS+ASD (AUC: 0.78; sensitivity: 73.33%; specificity: 76%). Characterization of miR-140-3p network would contribute to further clarify ASD etiology. Serum miR-140-3p could represent a potential non-invasive biomarker for ASD, easy to test through liquid biopsy.
鉴于自闭症谱系障碍(ASD)的患病率及其社会影响,它正引起人们的广泛关注。ASD的分子基础具有异质性,目前仅部分为人所知。许多因素,包括与ASD共病的疾病,如抽动秽语综合征(TS),使基于行为的ASD诊断变得复杂,并容易产生偏差。为了进一步研究ASD的病因,并确定支持其精确诊断的潜在生物标志物,我们使用TaqMan低密度阵列技术对ASD、TS、TS+ASD患者以及未受影响的对照(NC)的血清miRNA进行了分析。通过对30例ASD患者、24例TS患者、25例TS+ASD患者和25例NC进行验证试验,我们证明了与NC、TS和TS+ASD相比,miR-140-3p在ASD中上调(Tukey检验,P值分别为0.03、0.01、<0.0001)。miR-140-3p的ΔCt值与耶鲁全球抽动严重程度量表(YGTSS)评分呈正相关(Spearman相关系数=0.33;Benjamini-Hochberg校正P值=0.008),且呈线性关系(P=0.002)。网络功能分析表明,受miR-140-3p调控的节点,尤其是其已验证的靶标CD38和NRIP1,参与了在ASD中共同失调的过程,如突触可塑性、免疫反应和染色质结合。生物标志物分析证明,血清miR-140-3p能够区分:(1)ASD和NC(ROC曲线下面积,AUC:0.70;敏感性:63.33%;特异性:68%);(2)ASD和TS(AUC:0.72;敏感性:66.66%;特异性:70.83%);(3)ASD和TS+ASD(AUC:0.78;敏感性:73.33%;特异性:76%)。对miR-140-3p网络的表征将有助于进一步阐明ASD的病因。血清miR-140-3p可能代表一种潜在的ASD非侵入性生物标志物,易于通过液体活检进行检测。