...
首页> 外文期刊>Journal of Traditional Chinese Medical Sciences >Serum protein profile of yang-deficiency constitution in traditional Chinese medicine revealed by protein microarray analyses
【24h】

Serum protein profile of yang-deficiency constitution in traditional Chinese medicine revealed by protein microarray analyses

机译:蛋白质芯片分析揭示中医阳虚体质的血清蛋白质谱

获取原文
           

摘要

BackgroundBased on the theory of traditional Chinese medicine (TCM) and pre-epidemiological investigation, Professor Qi Wang classified the entire human population into nine constitutions and put forward the theory of “Nine-Constitution Medicine.” Among these constitutions, the main feature of the yang-deficiency constitution (YADC) is intolerance of the cold, which has been proven to reduce quality of life and confer susceptibility to specific diseases. Previous studies explored the genetic and transcriptional bases of YADC. In this experiment, we explored the potential mechanism of YADC using protein microarray, to deepen our understanding of its biological mechanism.MethodsSubjects identified with a YADC (n?=?12) or a balance constitution (BC; n?=?12) in accordance with the Classification and Determination Standards of Constitutions in Traditional Chinese Medicine were selected. Blood was collected to separate serum and protein microarray technology was used to analyze serum protein expression.ResultsThe clustering of subjects’ constitutions based on protein expression profiling largely coincided with the TCM classification. Based on false discovery rate correction (P?
机译:背景:王琦教授基于中医理论和流行病学前调查,将全人类分为九种体质,提出了“九种医学”理论。在这些体质中,阳虚体质(YADC)的主要特征是不耐感冒,事实证明,这种感冒会降低生活质量并易感于特定疾病。以前的研究探索了YADC的遗传和转录基础。在本实验中,我们使用蛋白质微阵列探索了YADC的潜在机制,以加深对它的生物学机制的理解。方法用YADC(n?=?12)或平衡构成(BC; n?=?12)鉴定的受试者根据中药体质分类和确定标准进行选择。收集血液以分离血清并使用蛋白质微阵列技术分析血清蛋白质表达。结果基于蛋白质表达谱的受试者体质聚类与中医分类大体一致。根据错误发现率校正(P 0.01)和倍数变化≥≥5或≤≤0.2,共选择了85种在YADC中与在BC中相比差异表达的蛋白质,包括64种上调和21种。下调的。富集分析表明,YADC患者易受内分泌和能量代谢紊乱以及免疫功能下降的影响。结论这项研究表明,YADC的蛋白质表达谱存在系统性差异。此外,我们可以部分地通过差异表达的蛋白质来解释YADC的特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号