Kayser K, Gabius H J
Department of Pathology, Thoraxklinik, Amalienstr. 5, D-69126 Heidelberg, Germany.
Cell Tissue Res. 1999 Jun;296(3):443-55. doi: 10.1007/s004410051305.
Physicochemical terms such as entropy or current of entropy are commonly used to refer solely to the description of reactions in the realm of chemistry and physics. Since these thermodynamic terms have a predictive value for the further course of development of such reactions, e.g., extent of a chemical reaction or affinity of molecular interactions, it is tempting to introduce the respective algorithms to biological problems. By combining quantitative morphology with the histochemical visualization of distinct cellular and textural properties such as nuclear DNA contents or intensity of histochemical staining, equations from the general theory of thermodynamics can be adapted. They permit appropriate calculations to be performed which introduce the entropy concept to the processing of the information collected by analysis of structures formed by histochemically labeling cells. The theory of weighted graphs offers the appropriate mathematical tools. Nuclei are defined as vertices. Their DNA contents measured by the integrated optical density or additional cellular features (for example staining intensity of applied immuno-/ligandohistochemical probes) define the associated weights and the minimum spanning tree as a derivative from Voronoi's theorem for the definition of the geometrical neighborhood. This technique is equivalent to syntactic structure analysis as developed by Lu and Fu (1978), Sanfeliu et al. (1981), Kayser and Schlegel (1982), and Kayser (1988). Assuming that the texture of a healthy tissue is displayed in the energetically most efficient and stable manner to perform the required biological functions, i.e., to maintain the lowest level of entropy, deviations from this level are reflected in differences in distances and weights between neighboring nuclei or cells. The measure of textural differences in relation to the normal appearance of an organ or tissue is denoted as structural entropy. Since organisms or their compartments are thermodynamically open systems, they are insufficiently described by the (structural) entropy. This parameter only provides a snapshot, with no information about the status of entropy changes from a directed exchange with the environment. The current of entropy, which is equivalent to the amount of entropy exported or imported through a boundary, is an appropriate measure of the "thermodynamic distance" of the system under consideration from its environment, as is readily appreciated for tumors. A solid tumor is a biological system embedded in another one (healthy tissue). Its current of entropy can be calculated if its boundary and proliferative activity are known. This parameter can be measured by histochemical methods (Ki-67 antibody) or from the cytometric characteristics (percentage of S-phase-related tumor cells), and the boundary can be measured by the volume fraction of the internal vessels and the size of the external surface of the tumor. Since biochemical factors will contribute to the generation and establishment of these structural and thermodynamic features at the level of tissue organization, histochemical studies can uncover the correlation with these parameter alterations. Taking glycohistochemical determinants as an example for this hypothesis, the potential value of combining the results of immuno-/ligandohistochemistry with the data derived from the cytometric or syntactic structure analysis measurements and from the calculations based on thermodynamic theorems is illustrated.
诸如熵或熵流等物理化学术语通常仅用于描述化学和物理领域中的反应。由于这些热力学术语对这类反应的进一步发展过程具有预测价值,例如化学反应的程度或分子相互作用的亲和力,因此人们很想将相应的算法引入生物学问题。通过将定量形态学与不同细胞和结构特性(如核DNA含量或组织化学染色强度)的组织化学可视化相结合,可以改编热力学一般理论中的方程。它们允许进行适当的计算,从而将熵的概念引入到对通过组织化学标记细胞形成的结构进行分析所收集信息的处理中。加权图理论提供了合适的数学工具。将细胞核定义为顶点。通过积分光密度测量的DNA含量或其他细胞特征(例如应用的免疫/配体组织化学探针的染色强度)定义相关权重,并将最小生成树定义为基于Voronoi定理对几何邻域定义的派生。该技术等同于Lu和Fu(1978年)、Sanfeliu等人(1981年)、Kayser和Schlegel(1982年)以及Kayser(1988年)所开发的句法结构分析。假设健康组织的结构以能量上最有效和稳定的方式呈现,以执行所需的生物学功能,即保持最低的熵水平,那么与该水平的偏差会反映在相邻细胞核或细胞之间距离和权重的差异中。与器官或组织正常外观相关的结构差异度量被称为结构熵。由于生物体或其组成部分是热力学开放系统,用(结构)熵来描述它们是不够的。该参数仅提供一个快照,没有关于与环境定向交换引起的熵变化状态的信息。熵流等同于通过边界输出或输入的熵量,它是所考虑系统与其环境之间“热力学距离”的合适度量,这对于肿瘤来说很容易理解。实体瘤是嵌入另一个系统(健康组织)中的生物系统。如果知道其边界和增殖活性,就可以计算其熵流。这个参数可以通过组织化学方法(Ki-67抗体)或从细胞计量学特征(与S期相关的肿瘤细胞百分比)来测量,边界可以通过内部血管的体积分数和肿瘤外表面的大小来测量。由于生化因素会在组织组织水平上促成这些结构和热力学特征的产生和建立,组织化学研究可以揭示与这些参数变化的相关性。以糖组织化学决定因素为例说明这一假设,展示了将免疫/配体组织化学结果与细胞计量学或句法结构分析测量数据以及基于热力学定理的计算结果相结合的潜在价值。