1.Prospects for Digital Therapeutics in the Application of Traditional Chinese Medicine
Hongxia ZHU ; Nan LI ; Shichao ZHENG ; Wenke XIAO ; Yaxin XU ; Chuanbiao WEN ; Yanxiong GAN
World Science and Technology-Modernization of Traditional Chinese Medicine 2023;25(12):3769-3775
Traditional Chinese medicine(TCM)plays a unique role in preventive treatment of disease,treatment of chronic disease and recovery.Integrating modern science and technology and methods to carry out integrated and innovative research will help to bring the value of traditional Chinese medicine into full play.In recent years,with the rapid development of digital therapeutics such as artificial intelligence and wearable devices,digital therapeutics have emerged.Under the guidance of TCM theory,TCM integrates digital therapeutics technology methods,personalized treatment of patients through advanced program-driven software or combined with hardware devices,and improves patient compliance,gives full play to the advantages of TCM.This paper uses CiteSpace to visualize the research hotspots of digital therapeutics,combined with the literature and the website data of the Food and Drug Administration and the National Medical Products Administration,to sort out the application of digital therapeutics in the prevention,treatment and recovery of diseases,analyze the key technologies and core theories in the current application of digital therapeutics.And taking TCM pentatotherapy,kinesiatrics and aromatherapy as examples,this paper discusses the application forms of digital therapeutics under the guidance of TCM theory,and provides a preliminary paradigm for TCM digital therapeutics.
2.Optimization of the Forming Process of Mingmu Yijing Pills Based on AHP-CRITIC Mixed Weighting Method
Chunhong YANG ; Shu LI ; Qi ZHAO ; Qian SHI ; Yanxiong GAN ; Xianrong LAI ; Rui LI
Chinese Journal of Modern Applied Pharmacy 2024;41(5):672-677
OBJECTIVE
To clarify the weight index and optimize the technology of compound Mingmu Yijing pills.
METHODS
Water content, dissolution time limit and bolus-forming pass rate were included as evaluation indexes. The analytic hierarchy process(AHP) and the criterion importance through inter-criteria correlation(CRITIC) method based on the objectivity of indicators were adopted, AHP-CRITIC mixed weighting method. In this way, the relative coefficients of each index were calculated for weight distribution and comprehensive score, and the molding process was optimized and verified by Box-Behnken response surface test.
RESULTS
Compared with the single weighting method, the AHP-CRITIC mixed weighting method was more reasonable and stable. This method finally optimized the forming process conditions of Mingmu Yijing pills as follows: adding water amount of 0.8 times, the damp mass infiltration for 0.5 h, drying temperature of 60 ℃, drying time of 8 h. The mean comprehensive score of validation experiment was 88.21, RSD was 0.29%.
CONCLUSION
AHP-CRITIC method scientifically determines the weight of multiple indicators, and the verification test confirms that the optimized molding process is stable and feasible, which can be used in practical large-scale production.
3.Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis.
Yanxiong GAN ; Shichao ZHENG ; Jan P A BAAK ; Silei ZHAO ; Yongfeng ZHENG ; Nini LUO ; Wan LIAO ; Chaomei FU
Acta Pharmaceutica Sinica B 2015;5(6):590-595
Curcumin, the medically active component from Curcuma longa (Turmeric), is widely used to treat inflammatory diseases. Protein interaction network (PIN) analysis was used to predict its mechanisms of molecular action. Targets of curcumin were obtained based on ChEMBL and STITCH databases. Protein-protein interactions (PPIs) were extracted from the String database. The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology (GO) enrichment analysis based on molecular complex detection (MCODE). A PIN of curcumin with 482 nodes and 1688 interactions was constructed, which has scale-free, small world and modular properties. Based on analysis of these function modules, the mechanism of curcumin is proposed. Two modules were found to be intimately associated with inflammation. With function modules analysis, the anti-inflammatory effects of curcumin were related to SMAD, ERG and mediation by the TLR family. TLR9 may be a potential target of curcumin to treat inflammation.