Sarvutiene Julija, Ramanavicius Arunas, Ramanavicius Simonas, Prentice Urte
State Research Institute Center for Physical Sciences and Technology (FTMC), Sauletekio Av. 3, LT-10257 Vilnius, Lithuania.
Department of Physical Chemistry, Institute of Chemistry, Faculty of Chemistry and Geosciences, Vilnius University, Naugarduko St. 24, LT-03225 Vilnius, Lithuania.
Int J Mol Sci. 2025 Apr 10;26(8):3579. doi: 10.3390/ijms26083579.
Abnormalities in X chromosomes, either numerical or structural, cause X-linked disorders, such as Duchenne muscular dystrophy (DMD). Recent molecular and cytogenetic techniques can help identify DMD gene mutations. The accurate diagnosis of Duchenne is crucial, directly impacting patient treatment management, genetics, and the establishment of effective prevention strategies. This review provides an overview of X chromosomal disorders affecting Duchenne and discusses how mutations in Dystrophin domains can impact detection accuracy. Firstly, the efficiency and use of cytogenetic and molecular techniques for the genetic diagnosis of Duchenne disease have, thus, become increasingly important. Secondly, artificial intelligence (AI) will be instrumental in developing future therapies by enabling the aggregation and synthesis of extensive and heterogeneous datasets, thereby elucidating underlying molecular mechanisms. However, despite advances in diagnostic technology, understanding the role of Dystrophin in Duchenne disease remains a challenge. Therefore, this review aims to synthesize this complex information to significantly advance the understanding of DMD and how it could affect patient care.
X染色体的异常,无论是数量上还是结构上的,都会导致X连锁疾病,如杜氏肌营养不良症(DMD)。最近的分子和细胞遗传学技术有助于识别DMD基因突变。杜氏症的准确诊断至关重要,直接影响患者的治疗管理、遗传学以及有效预防策略的制定。本综述概述了影响杜氏症的X染色体疾病,并讨论了肌营养不良蛋白结构域中的突变如何影响检测准确性。首先,细胞遗传学和分子技术在杜氏病基因诊断中的效率和应用因此变得越来越重要。其次,人工智能(AI)将通过汇总和综合广泛而异质的数据集来阐明潜在的分子机制,从而在未来疗法的开发中发挥重要作用。然而,尽管诊断技术取得了进展,但了解肌营养不良蛋白在杜氏病中的作用仍然是一项挑战。因此,本综述旨在综合这些复杂信息,以显著推进对DMD及其对患者护理可能产生的影响的理解。