摘要
中医药治疗甲状腺疾病具有独特的优势,尤其是在缩短起效时间、迅速缓解症状、增强西药疗效、减少西药毒副作用等方面,但目前研究缺乏创新及中医药特色。系统生物学是以整体性研究为特点的大科学,与中医学整体观念的特点不谋而合。本文通过阐述甲状腺疾病的基因组学、转录组学、蛋白质组学及代谢组学的中医药研究现状,从组学技术角度提出甲状腺疾病研究的设想和展望。系统生物学平台的组学技术可以互相整合并应用于中医药研究中,能够进一步拓宽甲状腺疾病的中医药研究思路。
Traditional Chinese medicine has unique advantages in treating thyroid diseases,especially in shortening the onset time,rapidly relieving symptoms,enhancing the efficacy of Western medicine,and reducing the toxic and side effects of Western medicine.However,the current research lacks innovation and characteristics of traditional Chinese medicine.Systems biology is a large science characterized by holistic research,which is similar to wholism concept of traditional Chinese medicine.This paper expounds the current situation of traditional Chinese medicine research on genomics,transcriptomics,proteomics and metabolomics of thyroid diseases,and puts forward the assumption and prospect of thyroid disease research from the perspective of omics technology.The omics technology based on the systems biology platform can be integrated with each other and applied to the research of traditional Chinese medicine,which can further broaden the research thought of traditional Chinese medicine for thyroid diseases.
作者
牧亚峰
向楠
曾明星
谭张奎
陈继东
左新河
赵勇
MU Yafeng;XIANG Nan;ZENG Mingxing;TAN Zhangkui;CHEN Jidong;ZUO Xinhe;ZHAO Yong(Clinical College of Traditional Chinese Medicine,Hubei University of Chinese Medicine,Hubei Province,Wuhan430061,China;the First Clinical College,Hubei University of Chinese Medicine,Hubei Province,Wuhan430061,China;Center for Diagnosis and Treatment of Thyroid Disease,Hubei Provincial Hospital of Traditional Chinese Medical,Hubei Province,Wuhan430074,China;Chen′s Academic Schools Studio of“Ying Disease”,Hubei Province,Wuhan430061,China;School of Basic Medicine,Hubei University of Chinese Medicine,Hubei Province,Wuhan430065,China)
出处
《中国医药导报》
CAS
2020年第15期41-44,共4页
China Medical Herald
基金
湖北省卫生计生委中医药科研重点项目(ZY2019Z007)。
关键词
系统生物学
中医药
甲状腺疾病
组学技术
Systems biology
Traditional Chinese medicine
Thyroid diseases
Omics technology
