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Genetic variation across RNA metabolism and cell death gene networks is implicated in the semantic variant of primary progressive aphasia

机译:RNA代谢和细胞死亡基因网络中的遗传变异与原发性进行性失语症的语义变异有关。

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摘要

The semantic variant of primary progressive aphasia (svPPA) is a clinical syndrome characterized by neurodegeneration and progressive loss of semantic knowledge. Unlike many other forms of frontotemporal lobar degeneration (FTLD), svPPA has a highly consistent underlying pathology composed of TDP-43 (a regulator of RNA and DNA transcription metabolism). Previous genetic studies of svPPA are limited by small sample sizes and a paucity of common risk variants. Despite this, svPPA’s relatively homogenous clinicopathologic phenotype makes it an ideal investigative model to examine genetic processes that may drive neurodegenerative disease. In this study, we used GWAS metadata, tissue samples from pathologically confirmed frontotemporal lobar degeneration, and in silico techniques to identify and characterize protein interaction networks associated with svPPA risk. We identified 64 svPPA risk genes that interact at the protein level. The protein pathways represented in this svPPA gene network are critical regulators of RNA metabolism and cell death, such as SMAD proteins and NOTCH1. Many of the genes in this network are involved in TDP-43 metabolism. Contrary to the conventional notion that svPPA is a clinical syndrome with few genetic risk factors, our analyses show that svPPA risk is complex and polygenic in nature. Risk for svPPA is likely driven by multiple common variants in genes interacting with TDP-43, along with cell death,x` working in combination to promote neurodegeneration.
机译:原发性进行性失语症(svPPA)的语义变异是一种临床综合征,其特征在于神经变性和语义知识的逐渐丧失。与许多其他形式的额颞叶变性(FTLD)不同,svPPA具有由TDP-43(RNA和DNA转录代谢的调节剂)组成的高度一致的基础病理学。先前的svPPA遗传研究受到样本量小和常见风险变异少的限制。尽管如此,svPPA相对同质的临床病理表型使其成为检查可能导致神经退行性疾病的遗传过程的理想研究模型。在这项研究中,我们使用了GWAS元数据,病理证实的额颞叶变性的组织样本以及计算机技术,以识别和表征与svPPA风险相关的蛋白质相互作用网络。我们确定了在蛋白质水平上相互作用的64个svPPA风险基因。 svPPA基因网络中代表的蛋白质途径是RNA代谢和细胞死亡的关键调节因子,例如SMAD蛋白和NOTCH1。该网络中的许多基因都参与了TDP-43的代谢。与传统的svPPA是一种临床综合征且遗传风险因素少的传统观念相反,我们的分析表明svPPA风险本质上是复杂且多基因的。 svPPA的风险可能是由与TDP-43相互作用的基因中的多个常见变异以及细胞死亡共同驱动的,以促进神经变性。

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