Center for Theoretical Biological Physics, Rice University, Houston, TX 77005.
Department of Bioengineering, Rice University, Houston, TX 77005.
Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):4406-4411. doi: 10.1073/pnas.1702237114. Epub 2017 Apr 11.
Huntington's disease (HD) is a neurodegenerative disease caused by an abnormal expansion in the polyglutamine (polyQ) track of the Huntingtin (HTT) protein. The severity of the disease depends on the polyQ repeat length, arising only in patients with proteins having 36 repeats or more. Previous studies have shown that the aggregation of N-terminal fragments (encoded by HTT exon 1) underlies the disease pathology in mouse models and that the HTT exon 1 gene product can self-assemble into amyloid structures. Here, we provide detailed structural mechanisms for aggregation of several protein fragments encoded by HTT exon 1 by using the associative memory, water-mediated, structure and energy model (AWSEM) to construct their free energy landscapes. We find that the addition of the N-terminal 17-residue sequence ([Formula: see text]) facilitates polyQ aggregation by encouraging the formation of prefibrillar oligomers, whereas adding the C-terminal polyproline sequence ([Formula: see text]) inhibits aggregation. The combination of both terminal additions in HTT exon 1 fragment leads to a complex aggregation mechanism with a basic core that resembles that found for the aggregation of pure polyQ repeats using AWSEM. At the extrapolated physiological concentration, although the grand canonical free energy profiles are uphill for HTT exon 1 fragments having 20 or 30 glutamines, the aggregation landscape for fragments with 40 repeats has become downhill. This computational prediction agrees with the critical length found for the onset of HD and suggests potential therapies based on blocking early binding events involving the terminal additions to the polyQ repeats.
亨廷顿病(HD)是一种由亨廷顿(HTT)蛋白中异常扩展的多聚谷氨酰胺(polyQ)轨道引起的神经退行性疾病。疾病的严重程度取决于 polyQ 重复长度,仅在具有 36 个重复或更多重复的患者中出现。先前的研究表明,N 端片段(由 HTT 外显子 1 编码)的聚集是小鼠模型中疾病病理学的基础,并且 HTT 外显子 1 基因产物可以自我组装成淀粉样结构。在这里,我们使用关联记忆、水介导、结构和能量模型(AWSEM)来构建它们的自由能景观,为 HTT 外显子 1 编码的几个蛋白质片段的聚集提供了详细的结构机制。我们发现,添加 N 端 17 个残基序列([Formula: see text])通过鼓励形成前纤维寡聚物来促进 polyQ 聚集,而添加 C 端多脯氨酸序列([Formula: see text])则抑制聚集。HTT 外显子 1 片段中这两个末端添加的组合导致了一种复杂的聚集机制,其基本核心类似于使用 AWSEM 对纯 polyQ 重复的聚集。在推断的生理浓度下,尽管具有 20 或 30 个谷氨酸的 HTT 外显子 1 片段的巨正则自由能分布是上坡的,但具有 40 个重复的片段的聚集景观已经变成下坡。这种计算预测与 HD 发病的关键长度一致,并提出了基于阻断涉及 polyQ 重复末端添加的早期结合事件的潜在治疗方法。