Department of Chemistry, Sookmyung Women's University, Cheongpa-ro 47-gil 100, Yongsan-Ku, Seoul 140-742, Korea.
Acc Chem Res. 2015 Apr 21;48(4):956-65. doi: 10.1021/acs.accounts.5b00032. Epub 2015 Apr 6.
Protein aggregation in aqueous cellular environments is linked to diverse human diseases. Protein aggregation proceeds through a multistep process initiated by conformational transitions, called protein misfolding, of monomer species toward aggregation-prone structures. Various forms of aggregate species are generated through the association of misfolded monomers including soluble oligomers and amyloid fibrils. Elucidating the molecular mechanisms and driving forces involved in the misfolding and subsequent association has been a central issue for understanding and preventing protein aggregation diseases such as Alzheimer's, Parkinson's, and type II diabetes. In this Account, we provide a thermodynamic perspective of the misfolding and aggregation of the amyloid-beta (Aβ) protein implicated in Alzheimer's disease through the application of fluctuating thermodynamics. This approach "dissects" the conventional thermodynamic characterization of the end states into the one of the fluctuating processes connecting them, and enables one to analyze variations in the thermodynamic functions that occur during the course of protein conformational changes. The central quantity in this approach is the solvent-averaged effective energy, f = Eu + Gsolv, comprising the protein potential energy (Eu) and the solvation free energy (Gsolv), whose time variation reflects the protein dynamics on the free energy landscape. Protein configurational entropy is quantified by the magnitude of fluctuations in f. We find that misfolding of the Aβ monomer when released from a membrane environment to an aqueous phase is driven by favorable changes in protein potential energy and configurational entropy, but it is also accompanied by an unfavorable increase in solvation free energy. The subsequent dimerization of the misfolded Aβ monomers occurs in two steps. The first step, where two widely separated monomers come into contact distance, is driven by water-mediated attraction, that is, by a decrease in solvation free energy, harnessing the monomer solvation free energy earned during the misfolding. The second step, where a compact dimer structure is formed, is driven by direct protein-protein interactions, but again it is accompanied by an increase in solvation free energy. The increased solvation free energy of the dimer will function as the driving force to recruit another Aβ protein in the approach stage of subsequent oligomerizations. The fluctuating thermodynamics analysis of the misfolding and dimerization of the Aβ protein indicates that the interaction of the protein with surrounding water plays a critical role in protein aggregation. Such a water-centric perspective is further corroborated by demonstrating that, for a large number of Aβ mutants and mutants of other protein systems, the change in the experimental aggregation propensity upon mutation has a significant correlation with the protein solvation free energy change. We also find striking discrimination between the positively and negatively charged residues on the protein surface by surrounding water molecules, which is shown to play a crucial role in determining the protein aggregation propensity. We argue that the protein total charge dictates such striking behavior of the surrounding water molecules. Our results provide new insights for understanding and predicting the protein aggregation propensity, thereby offering novel design principles for producing aggregation-resistant proteins for biotherapeutics.
在水相细胞环境中,蛋白质聚集与多种人类疾病有关。蛋白质聚集是通过单体物种向易于聚集的结构的构象转变(称为蛋白质错误折叠)引发的多步过程进行的。通过错误折叠单体(包括可溶性低聚物和淀粉样纤维)的缔合,产生了各种形式的聚集体。阐明错误折叠和随后缔合涉及的分子机制和驱动力一直是理解和预防蛋白质聚集疾病(如阿尔茨海默病、帕金森病和 2 型糖尿病)的核心问题。在本报告中,我们通过应用涨落热力学,从热力学角度研究了与阿尔茨海默病相关的淀粉样β(Aβ)蛋白的错误折叠和聚集。这种方法将传统的热力学特征“分解”为连接它们的涨落过程的特征,使人们能够分析蛋白质构象变化过程中发生的热力学函数变化。该方法的中心量是溶剂平均有效能量,f = Eu + Gsolv,其中包括蛋白质势能(Eu)和溶剂化自由能(Gsolv),其时间变化反映了蛋白质在自由能景观上的动力学。蛋白质构象熵由 f 的波动幅度来量化。我们发现,从膜环境释放到水相时,Aβ 单体的错误折叠是由蛋白质势能和构象熵的有利变化驱动的,但也伴随着溶剂化自由能的不利增加。随后,错误折叠的 Aβ 单体的二聚化分两步进行。第一步,两个相距很远的单体接触,这是由水介导的吸引力驱动的,也就是说,通过降低溶剂化自由能,利用单体在错误折叠过程中获得的溶剂化自由能。第二步,形成一个紧凑的二聚体结构,由直接的蛋白质-蛋白质相互作用驱动,但同样伴随着溶剂化自由能的增加。二聚体增加的溶剂化自由能将作为随后寡聚化过程中招募另一个 Aβ 蛋白的驱动力。对 Aβ 蛋白错误折叠和二聚化的涨落热力学分析表明,蛋白质与周围水的相互作用在蛋白质聚集中起着关键作用。这种以水为中心的观点进一步得到了证实,即对于大量 Aβ 突变体和其他蛋白质系统的突变体,突变后实验聚集倾向的变化与蛋白质溶剂化自由能的变化有显著的相关性。我们还发现,带正电荷和带负电荷的氨基酸残基在蛋白质表面受到周围水分子的显著区分,这对决定蛋白质聚集倾向起着至关重要的作用。我们认为,蛋白质的总电荷决定了周围水分子的这种显著行为。我们的结果为理解和预测蛋白质聚集倾向提供了新的见解,从而为生产用于生物治疗的抗聚集蛋白提供了新的设计原则。