相关实验视频

Updated: Jun 14, 2025

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

可比的临床优势:使用模块化基于网络的近距离方法确定了对类风湿性疾病的三种公式

Wenjing Zong¹, Siwei Tian¹, Qikai Niu¹

¹Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.

Journal of ethnopharmacology

|September 1, 2024

概括

一种新的模块化药理学方法精确地定位了类似的草药配方用于类风湿性疾病. 这种方法确定了Shirebi片 (SRB),Yuxuebi囊 (YXB) 和Wangbifukang颗粒 (WBFK) 的特定临床优势和潜在指示,以帮助药物重新定位.

科学领域:

药理学药理学是指药理学的学科.
网络医学网络医学
计算生物学计算生物学

背景情况:

传统的中国草药配方有着悠久的历史,但缺乏明确的临床定位和特征性指示,阻碍了它们的治疗价值.
确定确切的临床优势和对治疗相关疾病的类似草药配方的定位对于最大限度地提高其临床效用至关重要.

研究的目的:

开发一种利用模块化药理学的新方法来确定类似草药配方的临床优势和精确的临床位置.
探索Shirebi片 (SRB),Yuxuebi囊 (YXB) 和Wangbifukang颗粒 (WBFK) 对于类风湿性疾病的药物重新定位和临床益处.

主要方法:

通过分子复杂检测 (MCODE) 构建了一个类风湿病目标网络并识别了模块.
采用模块化交互图 (IMCC) 和目标率 (TR) 矩阵来识别SRB,YXB和WBFK的目标模块.
利用网络近距离Z-score和Jaccard相似性来识别潜在的指示和相关疾病,以及驱动基因识别和体内验证.

主要成果:

确定了32个模块,分别为SRB,YXB和WBFK的4个,4个和14个特征目标模块.
SRB和WBFK对炎症和先天性免疫反应有共同影响;YXB针对原的代谢过程和特定的信号通路.
确定了SRB与痛风性关节炎 (GA),YXB与结性脊柱炎 (AS),心肌梗塞 (MI),类风湿因子阳性关节炎 (RhFv),骨关节炎 (OA) 和GA,以及WBFK与MI,全身性红斑狼 (SLE),RhFv和GA的显著关联. 在GA中确定并验证了SRB的TRAF6和NFE2L1驱动基因.

结论:

拟议的基于模块化的网络近距离方法为精确的药物重新定位提供了新的视角.
这种方法提高了对类似草药配方在疾病治疗中的临床优势的理解,特别是对于类风湿性疾病.

关键词:

可比较的临床优势.模块化药理学模块化药理学网络的接近性网络的接近性精确的临床定位.类风湿性疾病是一种类风湿性疾病.

更多相关视频

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

相关概念视频

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...