Genomic Medicine Laboratory-UILDM, Santa Lucia Foundation IRCCS, 00179 Rome, Italy.
Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy.
Cells. 2022 Aug 29;11(17):2687. doi: 10.3390/cells11172687.
Despite the knowledge of the main mechanisms involved in facioscapulohumeral muscular dystrophy (FSHD), the high heterogeneity and variable penetrance of the disease complicate the diagnosis, characterization and genotype-phenotype correlation of patients and families, raising the need for further research and data. Thus, the present review provides an update of the main molecular aspects underlying the complex architecture of FSHD, including the genetic factors (related to repeated units and FSHD-associated genes), epigenetic elements ( methylation status, non-coding RNAs and high-order chromatin interactions) and gene expression profiles (FSHD transcriptome signatures both at bulk tissue and single-cell level). In addition, the review will also describe the methods currently available for investigating the above-mentioned features and how the resulting data may be combined with artificial-intelligence-based pipelines, with the purpose of developing a multifunctional tool tailored to enhancing the knowledge of disease pathophysiology and progression and fostering the research for novel treatment strategies, as well as clinically useful biomarkers. In conclusion, the present review highlights how FSHD should be regarded as a disease characterized by a molecular spectrum of genetic and epigenetic factors, whose alteration plays a differential role in repression and, subsequently, contributes to determining the FSHD phenotype.
尽管人们已经了解了面肩肱型肌营养不良症(FSHD)的主要发病机制,但该疾病存在高度异质性和可变的外显率,这使得对患者及其家庭的诊断、特征描述和基因型-表型相关性的复杂化,这也凸显了进一步研究和数据收集的必要性。因此,本综述提供了 FSHD 复杂结构的主要分子方面的最新信息,包括遗传因素(与重复单元和 FSHD 相关基因有关)、表观遗传因素(甲基化状态、非编码 RNA 和高级染色质相互作用)以及基因表达谱(整体组织和单细胞水平的 FSHD 转录组特征)。此外,本综述还将描述目前可用于研究上述特征的方法,以及如何将这些数据与基于人工智能的管道相结合,以开发一种多功能工具,旨在增强对疾病病理生理学和进展的了解,并促进新的治疗策略以及有临床应用价值的生物标志物的研究。总之,本综述强调了 FSHD 应被视为一种由遗传和表观遗传因素组成的分子谱特征的疾病,其改变在抑制中发挥着不同的作用,并因此有助于确定 FSHD 表型。