Objective To study the absorption features of isoimperatorin in intestine of rat.Methods Establish a single-pass intestinal perfusion model of rat,take phenolsulfonphthalein as a marker for the detection of isoimperatorin concentration from crude extracts of notopterygium,and observe the absorption features of isoimperatorin and its reference substance in intestine of rat.Results The content of isoimperatorin in crude extracts was (0.43±0.02)% (n=5).The absorption parameters of duodenum,jejunum,ileum,colon were (5.28±0.82),(4.47±0.56),(4.17±0.94),(4.32±0.68)×10-5 cm·s-1,respectively.There were no significant differences among them (P>0.05).Compared with the reference substance of isoimperatorin,crude extracts showed better absorption features.Conclusion Isoimperatorin from crude extracts have better characteristics of absorption.This study can provide theoretical basis for design of notopterygium oral formulation.

The study aimed to investigate the expression of ITGB1 in gastric cancer tissues and its impact on the efficacy of immunotherapy,and to find a new biomarker for prognosis assessment and prediction of immunotherapy response in gastric cancer.By utilizing bioinformatics methods to analyze the transcriptomic data,clinical pathological characteristics,and survival information of gastric cancer patients in the Cancer Genome Atlas(TCGA)database,this study evaluates the expression of ITGB1 in gastric cancer and its correlation with clinical features.Furthermore,an in-depth analysis was conducted for evaluating the relationship of ITGB1 expression with immune infiltration,immune checkpoint-related genes,immune subtypes and immunotherapy response.Data showed that high ITGB1 expression in gastric cancer tissues is associated with later T stage,lower survival rates,and lower overall survival.Analysis of immune infiltration scores showed the score for CD4+T cells,CD8+T cells,neutrophils,macrophages and dendritic cells were higher in the high ITGB1 expression group.Additionally,the levels of immune checkpoint-related genes such as SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4 and PDCD1LG2 were elevated in the high ITGB1 expression group,and the expression of ITGB1 was positively correlated with the expression of immune checkpoint-related genes including SIGLEC15,TIGIT,CD274,HAVCR2,CTLA4,LAG3 and PDCD1LG2.Analysis based on the data from the TISIDB database revealed differential expression of ITGB1 in various immune subtypes of gastric cancer,with significantly higher expression levels in the C6 subtype(TGF-β dominant type).The TIDE algorithm indicated a high score for the group with high ITGB1 expression,suggesting poor efficacy of immune checkpoint blockade therapy.To sum up,we find that high expression of ITGB1 in gastric cancer tissues is a poor prognostic indicator for gastric cancer patients,thus ITGB1 may serve as a potential biomarker for assessing prognosis and predicting the efficacy of immunotherapy in gastric cancer.

OBJECTIVE： To improve the efficiency and accuracy of checking total parenteral mutrition （TPN） prescription. METHODS： Excel vba technology was used to edit vba code and construct TPN prescription algorithm. The key indicators and standard of TPN prescription checking were determined. Established algorithm was used to check the prescriptions from PIVAS of our hospital in May 2018， results of which was compared with the results of manual checking （using potassium concentration， monovalent cation concentration and alanyl-glutamine combined with amino acid as indexes）. RESULTS： TPN prescription algorithm was established through confirming 17 key indicators as glycolipid ratio， heat-nitrogen ratio， monovalent cation concentration， the checking standard was set as. It took 15 seconds to check 2 638 TPN prescriptions received within one month in PIVAS of our hospital； 449 irrational prescriptions （excessive dose， incompatibility， inappropriate proportion and volume of nutrition） of them and reasons had been marked out. By comparing 3 evaluation indexes， 1， 1， 0 irrational prescriptions were checked by manually and 4， 12， 4 checked by established algorithm， respectively. CONCLUSIONS： TPN prescription algorithm can check prescription in batches based on Excel vba technology， and mark out the substandard prescription automatically. Hereby， it improves the efficiency and accuracy of TPN prescriptions by PIVAS.