Hu Min, Ge Meng-Ru, Li Hong-Xia, Zhang Bei, Li Gang
Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Front Genet. 2022 Oct 20;13:1022640. doi: 10.3389/fgene.2022.1022640. eCollection 2022.
Myotonic dystrophy type I (DM1), a CTG repeat expansion hereditary disorder, is primarily characterized by myotonia. Several studies have reported that abnormal autophagy pathway has a close relationship with DM1. However, the underlying key regulatory molecules dictating autophagy disturbance still remains elusive. Previous studies mainly focused on finding targeted therapies for DM1, but the clinical heterogeneity of the DM1 is rarely addressed. Herein, to identify potential regulator genes related to autophagy and cross-correlation among clinical symptoms, we performed weighted gene co-expression network analysis (WGCNA) to construct the co-expression network and screened out 7 core autophagy-related genes (DAPK1, KLHL4, ERBB3, SESN3, ATF4, MEG3, and COL1A1) by overlapping within differentially expressed genes (DEG), cytoHubba, gene significance (GS) and module membership (MM) score. Meanwhile, we here analyzed autophagy-related molecular subtypes of DM1 in relation to the clinical phenotype. Our results show that three genes (DAPK1, SESN3, and MEG3) contribute to distinguish these two molecular subtypes of DM1. We then develop an analysis of RNA-seq data from six human skin fibroblasts (3 DM1, 3 healthy donors). Intriguingly, of the 7 hallmark genes obtained, DAPK1 is the only confirmed gene, and finally identified by RT-PCR. Furthermore, we assessed the DAPK1 accuracy diagnosis of DM1 by plotting a receiver operating characteristic curve (ROC) (AUC = 0.965). In this study, we first validated autophagy status of DM1 individuals exhibits a clearly heterogeneity. Our study identified and validated DAPK1 serve as a novel autophagy-related biomarker that correlate with the progression of DM1.
I型强直性肌营养不良(DM1)是一种CTG重复序列扩增遗传性疾病,主要特征为肌强直。多项研究报道,异常的自噬途径与DM1密切相关。然而,导致自噬紊乱的潜在关键调控分子仍不清楚。以往研究主要集中于寻找DM1的靶向治疗方法,但很少涉及DM1的临床异质性。在此,为了鉴定与自噬相关的潜在调控基因以及临床症状之间的相互关联,我们进行了加权基因共表达网络分析(WGCNA)以构建共表达网络,并通过在差异表达基因(DEG)、CytoHubba、基因显著性(GS)和模块成员度(MM)评分中进行重叠筛选出7个核心自噬相关基因(DAPK1、KLHL4、ERBB3、SESN3、ATF4、MEG3和COL1A1)。同时,我们在此分析了DM1的自噬相关分子亚型与临床表型的关系。我们的结果表明,三个基因(DAPK1、SESN3和MEG3)有助于区分DM1的这两种分子亚型。然后,我们对来自6个人类皮肤成纤维细胞(3个DM1患者,3个健康供体)的RNA测序数据进行了分析。有趣的是,在获得的7个标志性基因中,DAPK1是唯一经证实的基因,最终通过逆转录-聚合酶链反应(RT-PCR)鉴定出来。此外,我们通过绘制受试者工作特征曲线(ROC)评估了DAPK1对DM1的诊断准确性(曲线下面积[AUC]=0.965)。在本研究中,我们首先验证了DM1个体的自噬状态表现出明显的异质性。我们的研究鉴定并验证了DAPK1作为一种新型的自噬相关生物标志物,与DM1的进展相关。