OBJECTIVE To provide help for further exploring the mechanism of action of traditional Chinese herb by constructing a complex network of traditional Chinese herb-gene-protein,optimizing the mining method of potential associated genes of traditional Chinese herb and improving the mining efficiency of traditional Chinese herb system biology information.METHODS A graph neural network model HERBGAT with an attention mechanism was proposed.A small amount of traditional Chinese herb-related gene data in the public data platform was used as input,and deep mining was performed in the traditional Chinese herb-gene-protein complex net-work to output potential traditional Chinese herb-related genes.The prediction results were analyzed by disease association analysis and KEGG signaling pathway analysis on the bioinformatics platform to clarify their mechanism of action,and the prediction results were verified by the literature retrieval platform.RESULTS The training results showed that the average prediction accuracy of the HERB-GAT model could reach 94%.Compared with the other two advanced complex network mining methods,HERBGAT showed better per-formance in the three indicators of ACC,AUC and AUPR.In the literature verification stage,the model prediction results were verified by TCM clinical literature and modern pharmacology literature,showing the good effect of HERBGAT in practical application.At the end of this paper,taking the HERBGAT model and the improved EMOGI model to explore the mechanism of action of Pinellia ternata in treating lung cancer as an example,199 potential associated genes of Pinellia ternata in treating lung cancer were found,and these potential associated genes were preliminarily analyzed and discussed with the help of bioinformatics methods.CONCLUSION The HERBGAT model can effectively mine potential traditional Chinese herb-associated genes,improve the mining efficiency of traditional Chinese herb-gene-protein complex networks,provide new ideas and references for the optimization of traditional Chinese herb system biology information mining methods,and provide data basis and experimental direction for exploring the mechanism of action of tradi-tional Chinese herb.

OBJECTIVE To provide help for further exploring the mechanism of action of traditional Chinese herb by constructing a complex network of traditional Chinese herb-gene-protein,optimizing the mining method of potential associated genes of traditional Chinese herb and improving the mining efficiency of traditional Chinese herb system biology information.METHODS A graph neural network model HERBGAT with an attention mechanism was proposed.A small amount of traditional Chinese herb-related gene data in the public data platform was used as input,and deep mining was performed in the traditional Chinese herb-gene-protein complex net-work to output potential traditional Chinese herb-related genes.The prediction results were analyzed by disease association analysis and KEGG signaling pathway analysis on the bioinformatics platform to clarify their mechanism of action,and the prediction results were verified by the literature retrieval platform.RESULTS The training results showed that the average prediction accuracy of the HERB-GAT model could reach 94%.Compared with the other two advanced complex network mining methods,HERBGAT showed better per-formance in the three indicators of ACC,AUC and AUPR.In the literature verification stage,the model prediction results were verified by TCM clinical literature and modern pharmacology literature,showing the good effect of HERBGAT in practical application.At the end of this paper,taking the HERBGAT model and the improved EMOGI model to explore the mechanism of action of Pinellia ternata in treating lung cancer as an example,199 potential associated genes of Pinellia ternata in treating lung cancer were found,and these potential associated genes were preliminarily analyzed and discussed with the help of bioinformatics methods.CONCLUSION The HERBGAT model can effectively mine potential traditional Chinese herb-associated genes,improve the mining efficiency of traditional Chinese herb-gene-protein complex networks,provide new ideas and references for the optimization of traditional Chinese herb system biology information mining methods,and provide data basis and experimental direction for exploring the mechanism of action of tradi-tional Chinese herb.

Mycoplasma pneumoniae pneumonia (MPP) complicated with cerebral venous sinus thrombosis (CVST) is rare.We retrospectively analyzed the clinical data of two patients with refractory mycoplasma pneumoniae pneumonia (RMPP) complicated with CVST who were hospitalized in Xi′an children′s Hospital from December 2018 to April 2019, inquired the relevant literature, analyzed the clinical diagnosis and treatment characteristics, and discussed the diagnosis and treatment measures of RMPP complicated with CVST.Two cases were 6-year-old girls with fever and cough as the main symptoms.After physical examination, the respiratory sounds of the affected lung decreased, and the sounds of phlegm and dampness could be heard in both lungs.Mycoplasma pneumoniae (MP) antibody and RNA were positive.Chest CT showed lobar pneumonia with a large number of pleural effusion.The effect of macrolide antibiotics anti infection treatment was not good.Headache symptoms occurred during the course of the disease, and serum D-dimer increased significantly.Brain MRI showed CVST, including 1 case with lower extremity pain, and B-ultrasound showed right lower extremity arterial embolism.After anti infection, thrombectomy, anticoagulation and symptomatic treatment, 2 cases were discharged.When children with MPP, especially those with RMPP, have extracranial thrombosis and/or neurological symptoms, accompanied by elevated serum D-dimer, the possibility of CVST should be considered, and brain MRI examination should be performed in time to confirm and actively treat, which can reduce or avoid the occurrence of sequelae.Thrombosis may be related to excessive inflammatory reaction and vascular endothelial injury caused by MP infection.

Adult ; Female ; Humans ; Liver ; pathology ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease ; pathology ; Obesity ; pathology ; Young Adult

Objective To investigate and evaluate the changes of T lymphocytes and red cell immunity of peripheral blood in patients with primary hepatocyte carcinoma (PHCC) after radiofrequency ablation(RFA) treatment. Methods The pre- and post- RFA(3d,7d,14d) peripheral blood T lymphocyte subsets(T3,T4,T8,T4/T8) and red cell immunity (RBC C3 receptor flower and RBC-immuocomplex formation rate) were investigated in 120 patients with PHCC treated by RFA. Results On 7d, 14d after RFA, T3, T4 lymphocytes and T4/T8 were higher than those on preoperative day significantly(P