Norgan Radler Charlene, Wang Tianci, LeGate Jaden, Crone Lily, Deo Parminder, Wortley Jacob, Moore Peyton, Bryant Griffin, Smitherman Katherine, Sathyamoorthy Mohanakrishnan
Sathyamoorthy Laboratory, Department of Medicine, Anne Burnett Marion School of Medicine at TCU, Fort Worth, TX 76104, USA.
College of Arts and Sciences, Cornell University, Ithaca, NY 14850, USA.
Int J Mol Sci. 2025 Jul 7;26(13):6535. doi: 10.3390/ijms26136535.
Arterial aneurysms are vascular conditions associated with life-threatening consequences in patients, such as dissection and rupture. Understanding their genetic basis is an evolving field, driven by the robust reporting of genetic variants associated with aneurysms in patients. In this study, we present clinical and genetic data from nine unrelated subjects with arterial aneurysms who were identified to harbor rare variants in the gene, mainly affecting fibronectin type III (FNIII) domains. The cohort included three female and six male subjects with a mean age of 53.5 years (SD = 14.4). The most frequently affected vascular territory was the thoracic ascending aorta ( = 7). A range of pathogenic impacts was predicted via multiple in silico tools that analyze evolutionary conservation and biochemical properties. Computational protein structure modeling with AlphaFold 3 predicted domain-specific alterations across multiple FNIII regions for four unique missense variants and one in-frame deletion, and premature protein truncation resulting from two frameshift variants. To our knowledge, this study is one of the first and largest to associate variants with arterial aneurysmal disease. Our findings demonstrate the potential of computational genomics and structural modeling to advance the understanding of extracellular matrix gene alterations in aneurysm pathogenesis.
动脉瘤是一种血管疾病,会给患者带来危及生命的后果,如夹层和破裂。随着与患者动脉瘤相关的基因变异报告不断增多,了解其遗传基础成为一个不断发展的领域。在本研究中,我们展示了9名患有动脉瘤的无关受试者的临床和基因数据,这些受试者被确定在该基因中携带罕见变异,主要影响纤连蛋白III型(FNIII)结构域。该队列包括3名女性和6名男性受试者,平均年龄为53.5岁(标准差 = 14.4)。最常受影响的血管区域是升主动脉(n = 7)。通过多种分析进化保守性和生化特性的计算机工具预测了一系列致病影响。使用AlphaFold 3进行的计算蛋白质结构建模预测了四个独特错义变异和一个框内缺失在多个FNIII区域的结构域特异性改变,以及两个移码变异导致的蛋白质过早截断。据我们所知,本研究是最早且规模较大的将该变异与动脉动脉瘤疾病相关联的研究之一。我们的发现证明了计算基因组学和结构建模在推进对动脉瘤发病机制中细胞外基质基因改变理解方面的潜力。