Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Generation of bio-engineered teeth by using stem cells will be a major approach for bioengineered implantation. Previous studies have demonstrated that dissociated tooth germ cells are capable of generating a tooth after reaggregation in vitro. However, the cellular and molecular mechanisms underlying this tooth regeneration are not clear. In this study, we dispersed E13.5 molar germ into single cells, immediately reaggregated them into cell pellet, then grafted the reaggregates under mouse kidney capsule for various times of culture. We investigated the morphogenesis and the expression of several developmental genes in dental epithelial cells in reaggregates of tooth germ cells. We found that dissociated tooth germ cells, after reaggregation, recapitulated normal tooth developmental process. In addition, dissociated dental epithelial cells retained the expression of Fgf8, Noggin, and Shh during reaggregation and tooth regeneration processes. Our results demonstrated that, despite of under dissociated status, dental epithelial cells maintained their odontogenic fate after re-aggregation with dental mesenchymal cells. These results provided important information for future in vitro generation of bio-engineered teeth from stem cells.
Animals ; Cell Culture Techniques ; methods ; Cell Differentiation ; Embryo, Mammalian ; Epithelial Cells ; cytology ; metabolism ; Female ; Gene Expression Regulation, Developmental ; genetics ; Male ; Mice ; Odontogenesis ; genetics ; Tooth Germ ; cytology ; physiology

Objective To explore the effect of misoprustol on restoration of gastroinete stinal function after cesarean section.Methods 100 patients after cesarean section were randomly divided into two groups:50 patients were treated by dropping rectum with misoprostol 200μg.The other 50 patients were the control group.To compare the two groups of the time of wind breaking,the time of lactation and postpartum hemorrhage.Results The duration of there recovery time of the gastrointestinal functionin and lactation of misoprostol group was shorrer than that in the control group(P＜0.05).Quicker involution of uterus and less quantity of red lochia were compared with the control group(P＜0.05).Conclusion Misoprostol used after cesarean section can accelerate lactation and wind breaking and the involution of uterus.It would he used clinically for its safety,eonvenieney and without evident side effects.

Objective To study the relationship between the pregnant women with HBsAg and the gestational diabetes mellkus.Methods Clinical data of 94 cases with pregnant women with HBsAg-positive in our hospital were analyzed retrospectively.119 cases with pregnant women with HbsAg-negative were selected at random according to their personal preference and were compared.The prevalence rate of the gestational diabetes mellitus and itS related factors were compared between the 2 groups.Results 32 cases were diagnosed the gestational diabetes mellitus in pregnant women with HBsAg-positive,according to 34.0%,13 cases were diagnosed the gestational diabetes mellitus in control group,according to 10.9%.It was significant difference in 2 groups(P＜0.05).Compared wlth the control group,there were significant difference in the occurrence of thrombocytopenia,post partum hemorrhage(P＜0.05).Compared with the control group,there were no significant changes in the ratio of cesarean section,BMI,occurrence of fetal macrosomia.Conclusion The prevalence rate of the gestational diabetes mellitus and post partum hemorrhage and thrombocytopenia in pregnant women with HBsAg-positive group was significantly higher than in the HBsAg-positive group.