Schwabl Herbert, Vennos Cécile, Saller Reinhard
Padma AG, Hinwil, Schweiz.
Forsch Komplementmed. 2013;20 Suppl 2:35-40. doi: 10.1159/000351718. Epub 2013 Jun 21.
In the context of the network model of the organism, multimorbid states (≥ 2 chronic diseases at the same time) can be considered as a complex disease pattern which can be mapped as characteristic signatures. From the perspective of system theory, living systems such as the human body are viewed as networks of interacting parts. These in turn can themselves be subnetworks assigned to different complexity levels. They range, e.g., from the gene to the transcriptome, proteome, metabolome, and epigenome up to the network of the entire molecular interactions, the so-called interactome. In multimorbidity, the disease signature affects different networks at all levels, e.g., cell systems, organs, and functional systems. Based on this semiotics, certain signatures of effectiveness and profiles of action can be assigned to each drug. A drug signature represents the physicochemical stimuli that cause a reaction by the system, as well as the cross-links by which the entire connected system is affected at all levels. Phytotherapeutics, which chemically represent multi-component mixtures, have especially complex signatures. As multi-target medicines with a pleiotropic effect profile, they therapeutically affect different levels of the network, which is why they are also referred to as network medicines. Herbal formulas from traditional medicine systems such as Tibetan Medicine are an example for phytotherapeutics with a particularly complex pleiotropic signature. Also from the traditional point of view, a disease signature is set in relation with a corresponding drug signature. However, in this case, it is based on the traditional energetic understanding of diseases. Modern research results clearly indicate a widely diversified signature range of Tibetan Medicines and thus provide a rationale for their use in integrative treatment approaches for diseases with complex signatures, e.g. in multimorbidity. The system-theoretical approach discussed here represents a method to enable a connectivity of traditional methods from complementary and alternative medicine to the other disciplines of modern medicine.
在生物体的网络模型背景下,多重疾病状态(同时患有≥2种慢性病)可被视为一种复杂的疾病模式,可映射为特征性标志。从系统理论的角度来看,诸如人体这样的生命系统被视为相互作用部分的网络。这些部分本身又可以是分配到不同复杂程度的子网络。例如,它们的范围从基因到转录组、蛋白质组、代谢组和表观基因组,直至整个分子相互作用网络,即所谓的相互作用组。在多重疾病中,疾病标志会影响所有层次的不同网络,如细胞系统、器官和功能系统。基于这种符号学,每种药物都可以赋予特定的有效性标志和作用概况。药物标志代表引起系统反应的物理化学刺激,以及整个连接系统在各个层次受到影响的交联。植物疗法在化学上代表多成分混合物,具有特别复杂的标志。作为具有多效性作用概况的多靶点药物,它们在治疗上会影响网络的不同层次,这就是它们也被称为网络药物的原因。来自藏医学等传统医学系统的草药配方就是具有特别复杂多效性标志的植物疗法的一个例子。同样从传统观点来看,疾病标志与相应的药物标志相关联。然而,在这种情况下,它是基于对疾病的传统能量理解。现代研究结果清楚地表明藏药的标志范围广泛多样,从而为其在具有复杂标志的疾病(如多重疾病)的综合治疗方法中的应用提供了理论依据。这里讨论的系统理论方法代表了一种使补充和替代医学的传统方法与现代医学的其他学科建立联系的方法。