Bridging the gap between traditional Chinese medicine and systems biology: the connection of Cold Syndrome and NEI network.
نویسندگان
چکیده
Systems biology is a general trend of contemporary scientific development. When coupling the classical traditional Chinese medicine (TCM) Cold Syndrome and methodology of systems biology, we conformed to the genome, transcriptome, proteome, and metabolome that are supposed to run through the overall macro behavior, and explored the macro and micro framework of systems biology of TCM Syndrome. We introduced a new way to probe into the implicit stratification of Cold Syndrome, after surveying 4575 cases of Cold Syndrome patients and examining gene expression information of a typical Cold Syndrome pedigree by microarray. We underlined the genetic background of the Cold Syndrome family based on the molecular foundation to understand Syndrome, one of our earlier discoveries in which genes and chemical compounds in neuro-endocrine-immune (NEI) system are scored as Cold or Hot (or both) property. Results indicate that Cold Syndrome related genes play an essential role in energy metabolism, which are tightly correlated with the genes of neurotransmitters, hormones and cytokines in the NEI interaction network. Therefore, NEI interaction not only opens out mechanism of classical TCM theory on Syndrome but also enriches current research on complex diseases as well as systems biology.
منابع مشابه
Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network.
Traditional Chinese medicine uses ZHENG as the key pathological principle to understand the human homeostasis and guide the applications of Chinese herbs. Here, a systems biology approach with the combination of computational analysis and animal experiment is used to investigate this complex issue, ZHENG, in the context of the neuro-endocrine-immune (NEI) system. By using the methods of literat...
متن کاملNavigating Traditional Chinese Medicine Network Pharmacology and Computational Tools
The concept of "network target" has ushered in a new era in the field of traditional Chinese medicine (TCM). As a new research approach, network pharmacology is based on the analysis of network models and systems biology. Taking advantage of advancements in systems biology, a high degree of integration data analysis strategy and interpretable visualization provides deeper insights into the unde...
متن کامل[Framework and practice of network-based studies for Chinese herbal formula].
The ZHENG (syndrome of traditional Chinese medicine) oriented effects and the multiple-targets' mechanism are the main challenges encountered by recent researches for Chinese herbal formula. Using methods of bioinformatics and systems biology, we proposed a biological network-based framework for understanding the mechanism of Chinese herbal formula, and reviewed our studies under this framework...
متن کاملNetwork Systems Underlying Traditional Chinese Medicine Syndrome and Herb Formula
Traditional Chinese Medicine (TCM) is characterized by regulating the integrity of the human body and has accumulated thousand-year experience in the use of Herb Formula (“Fu-Fang” in Chinese) for managing complicated TCM Syndrome (“ZHENG” in Chinese). In recent years, there has been increasing concern about the application of bioinformatics and systems biology approaches for deciphering the sc...
متن کاملCross border E-Science and Research Partnership: Bridging the Gap Between Science and Media
E-Science is a tool that helps scientists to store, interpret, analyze and make a network of their data, and it can play a critical role in different aspects of the scientific goals and research. This commentary, under the topic of Cross Border E-Science and Research Partnership: Bridging the Gap between Science and Media,[1] attempts to shed light on E-Science with emphasis on three importa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Molecular bioSystems
دوره 6 4 شماره
صفحات -
تاریخ انتشار 2010