Lio Domenico, Scola Letizia, Forte Giusi Irma, Vaccarino Loredana, Bova Manuela, Di Gangi Patrizia, Santini Giorgia, di Lisi Daniela, Madaudo Cristina, Novo Giuseppina
University Research Center "Migrate", University of Palermo, 90100 Palermo, Italy.
Clinical Pathology, Department of Bio-Medicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90133 Palermo, Italy.
Biomolecules. 2025 Jun 24;15(7):926. doi: 10.3390/biom15070926.
Takotsubo syndrome (TS), also known as stress-induced cardiomyopathy, is classically characterized by an acute onset mimicking myocardial infarction and by distinctive transient wall motion abnormalities detectable via echocardiography, often resembling a Japanese octopus trap (the so-called "takotsubo"). The possibility that a genetic background may contribute to TS susceptibility emerged early, supported by several familial case reports. Despite a large number of investigations, no definitive genetic markers associated with TS risk have been conclusively identified. The lack of a clear Mendelian inheritance pattern suggests a multifactorial etiology and pathogenesis, likely involving complex gene-environment interactions and a polygenic background. This review analyzes the genetic variants implicated in the different functional pathways contributing to TS pathogenesis and discusses the current state of knowledge regarding its genetic underpinnings. Finally, we propose future directions for research aimed at identifying a multigene susceptibility panel that could be useful in diagnosis, prevention strategies, and the identification of novel therapeutic targets for individuals at high risk. We conclude that innovative approaches based on data-mining algorithms and nonlinear analytic methods applied to large patient datasets may be instrumental in resolving the genetic complexity of TS.
应激性心肌病(TS),又称应激性心肌病,其典型特征是急性起病,类似于心肌梗死,且通过超声心动图可检测到独特的短暂性室壁运动异常,常类似日本章鱼笼(即所谓的“章鱼瓶”)。早期,一些家族病例报告表明遗传背景可能与TS易感性有关。尽管进行了大量研究,但尚未最终确定与TS风险相关的明确遗传标记。缺乏明确的孟德尔遗传模式提示其病因和发病机制为多因素,可能涉及复杂的基因-环境相互作用和多基因背景。本综述分析了与TS发病机制不同功能途径相关的基因变异,并讨论了其遗传基础的当前知识状态。最后,我们提出了未来的研究方向,旨在确定一个多基因易感性 panel,这可能有助于诊断、预防策略以及识别高危个体的新治疗靶点。我们得出结论,基于数据挖掘算法和应用于大型患者数据集的非线性分析方法的创新方法可能有助于解决TS的遗传复杂性。