A systems biology approach with the combination of computational analysis and animal experiment is used to investigate the ZHENG (syndrome) in the context of the neuroendocrine-immune (NEI) system, and the results demonstrate that the ZHENG (syndrome) may have a molecular basis with NEI as background. For example, a network balance model can evaluate the imbalanced network underlying TCM syndrome and find potential biomarkers. In addition, it should be understood that proper research ideas and research methods are usually the key points in syndrome studies. Therefore, research methods and thinking of complex systems should be combined when we study the syndromes, genes, proteins, and metabolomics.

The overall behavior of the system cannot be obtained only by the simple act of components (such as the functions or the features). According to the understanding of complex systems, complex system is composed of components (also called subsystems) interacting with each other intricately. The human body is a complex giant system and syndromes are the overall response of the human body in the pathological conditions. For instance, we have explored the proteomic specialty and features through seeking the plasma differential proteins in patients with unstable angina of blood stasis pattern and healthy persons by way of two-dimensional difference gel electrophoresis (DIGE) detection. Omics technology has shown the superiority and advanced nature in the process of TCM syndrome research that no previous technology could match. In recent years, birth of genomics, proteomics, metabolomics, and other modern technology seems to provide a new dawn and bright future for TCM syndrome studies. However, the research has not achieved any breakthrough results and even fallen into the troubles of contradictory and confusion. Р”Р‡or decades, the state has invested a lot of manpower and financial resources for syndrome researches. We have established a mode conducted by four biological parameters, which could distinguish CHD patients with blood stasis syndrome from nonblood stasis syndrome patients by means of C5 Decision Tree and a recognition pattern of CHD patients with Qi deficiency syndrome based on artificial neural network method. Our earlier study showed that biological parameters could be considered as a reflection of the pathomechanism and physiological mechanism, which might be a reflection of syndrome in TCM too. The large number and complexity, multilevel relationships of information from four diagnostic methods had constrained the accuracy of syndrome differentiation. The РІР‚Сљgolden standardРІР‚Сњ of syndrome diagnosis has not been found yet. Syndrome differentiation based on information from traditional four diagnostic methods has met challenges and questions with the rapid development and wide application of system biology. Syndrome research has always been hot and difficult spots in TCM basic studies. Omics technology has provided a new technology platform for the quantitative, objective, standardized, and even EBM study in TCM and its theory. The integrity and system of TCM have been reflected at the macrolevel, while omics technology is a reintegration on the global analysis and reduction.

The integrity, dynamic, time and space nature, and complexity of its study features are completely interlinked with traditional Chinese medicine (TCM) theory. As a new discipline,omics technology is one of the most active areas in the life sciences. The rapid development of omics technologies made the РІР‚СљbridgeРІР‚Сњ contours between Chinese medicine theory and EBM researches become clear gradually. The aim of EBM is improving the clinical practice to rigorous standards based on scientific research evidences from the original main basis that personal experience based on. РІР‚СљEvidence-based medicineРІР‚Сњ (EBM) has led to a profound change in the practice of the medicine pattern since it came into being for just ten year.

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