Lee Hochan, Choi Jun-Ho, Verma Pramod Kumar, Cho Minhaeng
Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science (IBS) , Seoul 136-701, Republic of Korea.
Department of Chemistry, Korea University , Seoul 136-713, Republic of Korea.
J Phys Chem B. 2015 Nov 12;119(45):14402-12. doi: 10.1021/acs.jpcb.5b08029. Epub 2015 Oct 29.
Recently, it was shown that the spectral graph theory is exceptionally useful for understanding not only morphological structural differences in ion aggregates but also similarities between an ion network and a water H-bonding network in highly concentrated salt solutions. Here, we present spectral graph analysis results on osmolyte aggregates and water H-bonding network structures in aqueous renal osmolyte solutions. The quantitative analyses of the adjacency matrices that are graph-theoretical representations of aggregates of osmolyte molecules and water H-bond structures provide the ensemble average eigenvalue spectra and degree distribution. We show that urea molecules form quite different morphological structures compared to other protecting renal osmolyte molecules in water, particularly sorbitol and trimethylglycine, which are well-known protecting osmolytes, and at high concentrations exhibit a strong propensity to form morphological structures that are graph-theoretically similar to that of the water H-bond network. Conversely, urea molecules, even at similarly high concentrations, form separated clusters instead of extended osmolyte-osmolyte networks. This difference in morphological structure of osmolyte-osmolyte aggregates between protecting and destabilizing osmolytes is considered to be an important observation that led us to propose a hypothesis on the osmolyte aggregate growth mechanism via either osmolyte network formation or segregated osmolyte cluster formation. We anticipate that the present spectral graph analyses of osmolyte aggregate structures and their interplay with the water H-bond network structure in highly concentrated renal osmolyte solutions could provide important information on the osmolyte effects of not only water structures but also protein stability in biologically relevant osmolyte solutions.
最近的研究表明,光谱图理论不仅对于理解离子聚集体的形态结构差异非常有用,而且对于理解高浓度盐溶液中离子网络与水氢键网络之间的相似性也非常有用。在此,我们展示了对肾渗透溶质水溶液中渗透溶质聚集体和水氢键网络结构的光谱图分析结果。对作为渗透溶质分子聚集体和水氢键结构的图论表示的邻接矩阵进行定量分析,可提供系综平均特征值谱和度分布。我们发现,与其他保护性肾渗透溶质分子(特别是山梨醇和三甲基甘氨酸,它们是众所周知的保护性渗透溶质)相比,尿素分子在水中形成的形态结构截然不同,并且在高浓度时表现出强烈的形成与水氢键网络在图论上相似的形态结构的倾向。相反,即使在相似的高浓度下,尿素分子也会形成分离的簇,而不是扩展的渗透溶质 - 渗透溶质网络。保护性和去稳定化渗透溶质之间渗透溶质 - 渗透溶质聚集体形态结构的这种差异被认为是一项重要的观察结果,它促使我们提出了一个关于渗透溶质聚集体生长机制的假设,即通过渗透溶质网络形成或分离的渗透溶质簇形成。我们预计,目前对高浓度肾渗透溶质溶液中渗透溶质聚集体结构及其与水氢键网络结构相互作用的光谱图分析,不仅可以提供有关水结构的渗透溶质效应的重要信息,还可以提供有关生物相关渗透溶质溶液中蛋白质稳定性的重要信息。