Objective To study the medication law of TCM compounds for ischemic stroke using data mining methods;To provide reference for clinical medication.Methods Literature about TCM treatment for ischemic stroke was retrieved from CNKI,VIP,Wanfang Data and SinoMed from May 31,2014 to May 31,2024.Drug frequency analysis,dosage analysis,property and taste attribution analysis,association rule analysis,factor analysis and clustering analysis were performed using Excel 2019,SPSS Modeler 18,SPSS 25 software.Results A total of 180 prescriptions for the treatment of ischemic stroke were included,involving 208 kinds of Chinese materia medica,with a total frequency of 1 996 times,of which 20 were high-frequency medicines(≥24 times),with Chuanxiaong Rhizoma,Angelicae Sinensis Radix,Pheretima,Astragali Radix,Paeoniae Radix Rubra and Carthami Flos being the most frequent;the efficacy of the medicines included activating blood circulation and removing blood stasis,tonifying the deficiency,pacifying the liver,calming the wind and clearing away heat;the main properties were warm,cold and neutral;the main tastes were bitter,sweet and pungent;the main meridians were liver,spleen,heart and lung meridians;among the drug dosages of drugs with frequency≥24,the mean dosage of Chuanxiong Rhizoma,Angelicae Sinensis Radix,Pheretima,Astragali Radix and Paeoniae Radix Rubra were 12.24,12.91,10.52,40.00,12.13 g,respectively.In the systematic clustering and complex network analysis,it was suggested that the core TCM prescriptions were:Xuefu Zhuyu Decoction with modified Banxia Baizhu Tianma Decoction,modified Chaihu Shugan Powder,Buyang Huanwu Decoction with modified Huangqi Guizhi Wuwu Decoction and modified Liujunzi Decoction.Conclusion TCM treatment for ischemic stroke mostly uses the methods of activating blood circulation and expelling phlegm,nourishing blood to promote blood circulation,clearing heat and cooling blood,and benefiting qi and neutralizing qi,which provides ideas and methods for following research.

Objective To study the medication law of TCM compounds for ischemic stroke using data mining methods;To provide reference for clinical medication.Methods Literature about TCM treatment for ischemic stroke was retrieved from CNKI,VIP,Wanfang Data and SinoMed from May 31,2014 to May 31,2024.Drug frequency analysis,dosage analysis,property and taste attribution analysis,association rule analysis,factor analysis and clustering analysis were performed using Excel 2019,SPSS Modeler 18,SPSS 25 software.Results A total of 180 prescriptions for the treatment of ischemic stroke were included,involving 208 kinds of Chinese materia medica,with a total frequency of 1 996 times,of which 20 were high-frequency medicines(≥24 times),with Chuanxiaong Rhizoma,Angelicae Sinensis Radix,Pheretima,Astragali Radix,Paeoniae Radix Rubra and Carthami Flos being the most frequent;the efficacy of the medicines included activating blood circulation and removing blood stasis,tonifying the deficiency,pacifying the liver,calming the wind and clearing away heat;the main properties were warm,cold and neutral;the main tastes were bitter,sweet and pungent;the main meridians were liver,spleen,heart and lung meridians;among the drug dosages of drugs with frequency≥24,the mean dosage of Chuanxiong Rhizoma,Angelicae Sinensis Radix,Pheretima,Astragali Radix and Paeoniae Radix Rubra were 12.24,12.91,10.52,40.00,12.13 g,respectively.In the systematic clustering and complex network analysis,it was suggested that the core TCM prescriptions were:Xuefu Zhuyu Decoction with modified Banxia Baizhu Tianma Decoction,modified Chaihu Shugan Powder,Buyang Huanwu Decoction with modified Huangqi Guizhi Wuwu Decoction and modified Liujunzi Decoction.Conclusion TCM treatment for ischemic stroke mostly uses the methods of activating blood circulation and expelling phlegm,nourishing blood to promote blood circulation,clearing heat and cooling blood,and benefiting qi and neutralizing qi,which provides ideas and methods for following research.

Objective The aim of this study was to identify macrophage related genes(MRGs)in liver cancer and construct a prognostic risk prediction model for liver cancer.Methods The liver cancer scRNA-seq data from the GEO database were down-loaded to identify genes specifically expressed in macrophages as MRGs.The GO and KEGG functional enrichment analyses on MRGs were conducted.In the TCGA-LIHC dataset of the TCGA database,multiple random sampling single factor Cox regression for single-factor Cox regression,LASSO regression,and multivariate Cox regression analyses were employed to identify MRGs for liver cancer prognosis prediction,and a liver cancer prognostic prediction model was constructed.Results The results obtained 8 major cell types,including those containing macrophages through clustering using scRNA-seq data from the GEO database.The proportion of macrophages in the immune microenvironment of liver cancer was significantly higher than that of normal tissues(P=0.016),and genes such as SPP1,RNASE1,and MMP9 were highly expressed.Multiple metabolic pathways,including purine metabolism,citric acid cycle,and drug metabolism cytochrome P450 were activated in liver cancer-associated macrophages.This study identified 777 MRGs from liver cancer scRNA-seq(LogFC＞0.25,P＜0.05),which mainly involved in functions such as actin binding and regula-tion of immune receptor activity.Seven MRGs,including ATP1B3,ATP6V0B,HBEGF,KLF2,NR1H3,RAB10,and SPP1 were select-ed from the 169 stable prognostic genes(P＜0.05)for the construction of the prognosis model.The AUC values for the 1,3,and 5-year survival outcomes of the model in the TCGA liver cancer cohort were 0.791,0.791,and 0.751,respectively.In the validation ICGC cohort,they were 0.614,0.682,and 0.688,respectively,demonstrating good predictive performance.In liver cancer patients with high prognosis risk scores,the expression of macrophages M0,neutrophils,and regulatory T cells was higher(P＜0.05),and im-munosuppression and immune activation coexisted.Conclusion Liver cancer MRGs can serve as potential biomarkers for predicting the prognosis of liver cancer patients.These liver cancer MRGs are mainly associated with actin binding,immune receptor activity,and infiltration of various immune cells.