Objective To investigate the impact of body mass index(BMI)on the outcome of in-trauterine insemination(IUI)for infertility patients.Methods A total of 1 393 infertility patients un-dergoing their first cycle of IUI were selected as study subjects,and were divided into normal BMI group(n=824),overweight group(n=394)and obese group(n=175)based on BMI.Age,dura-tion of infertility,type of infertility,sex hormones,fasting blood glucose,fasting insulin,thyroid func-tion,timing of insemination,number of progressively motile spermatozoa,biochemical pregnancy rate,clinical pregnancy rate and miscarriage rate were compared among the three groups.Multiple linear re-gression analysis was used to analyze the influencing factors of BMI;the effects of age,BMI,fasting blood glucose and fasting insulin on IUI outcome were analyzed by binary Logistic regression.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of BMI for biochemical pregnancy and clinical pregnancy,and the cut-off value was calculated.Results There were no sig-nificant differences in age,time of insemination,number of progressively motile spermatozoa,clinical pregnancy rate and miscarriage rate among the three groups(P＞0.05).The duration of infertility,fasting blood glucose and fasting insulin levels in the obese and overweight groups were significantly lon-ger or higher than those in the normal BMI group(P＜0.05).The follicle-stimulating hormone(FSH)level in the obese group was significantly lower,while the free thyroxine(FT 4)level in the obese group was significantly higher than that in the overweight group and normal BMI group(P＜0.05).The biochemical pregnancy rate in the obese group was significantly higher than that in the normal BMI group(P＜0.05).Multiple linear regression analysis showed that BMI was negatively correla-ted with FSH and estradiol(E2)(P＜0.01)and positively correlated with fasting blood glucose and fasting insulin(P＜0.01).Multivariate binary logistic regression analysis showed that age and BMI were influencing factors for clinical pregnancy(P＜0.05),while age,BMI,and fasting insu-lin were influencing factors for biochemical pregnancy(P＜0.05).The ROC curve showed that the area under the curve(AUC)for BMI predicting biochemical pregnancy and clinical pregnancy was 0.608 and 0.610,respectively,with a cut-off value of 23.05 kg/m2 for both.Conclusion BMI affects the endocrine and glycolipid metabolism of infertility patients.BMI can be used as an inde-pendent factor to predict biochemical pregnancy and clinical pregnancy in IUI.

Objective To investigate the impact of body mass index(BMI)on the outcome of in-trauterine insemination(IUI)for infertility patients.Methods A total of 1 393 infertility patients un-dergoing their first cycle of IUI were selected as study subjects,and were divided into normal BMI group(n=824),overweight group(n=394)and obese group(n=175)based on BMI.Age,dura-tion of infertility,type of infertility,sex hormones,fasting blood glucose,fasting insulin,thyroid func-tion,timing of insemination,number of progressively motile spermatozoa,biochemical pregnancy rate,clinical pregnancy rate and miscarriage rate were compared among the three groups.Multiple linear re-gression analysis was used to analyze the influencing factors of BMI;the effects of age,BMI,fasting blood glucose and fasting insulin on IUI outcome were analyzed by binary Logistic regression.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of BMI for biochemical pregnancy and clinical pregnancy,and the cut-off value was calculated.Results There were no sig-nificant differences in age,time of insemination,number of progressively motile spermatozoa,clinical pregnancy rate and miscarriage rate among the three groups(P＞0.05).The duration of infertility,fasting blood glucose and fasting insulin levels in the obese and overweight groups were significantly lon-ger or higher than those in the normal BMI group(P＜0.05).The follicle-stimulating hormone(FSH)level in the obese group was significantly lower,while the free thyroxine(FT 4)level in the obese group was significantly higher than that in the overweight group and normal BMI group(P＜0.05).The biochemical pregnancy rate in the obese group was significantly higher than that in the normal BMI group(P＜0.05).Multiple linear regression analysis showed that BMI was negatively correla-ted with FSH and estradiol(E2)(P＜0.01)and positively correlated with fasting blood glucose and fasting insulin(P＜0.01).Multivariate binary logistic regression analysis showed that age and BMI were influencing factors for clinical pregnancy(P＜0.05),while age,BMI,and fasting insu-lin were influencing factors for biochemical pregnancy(P＜0.05).The ROC curve showed that the area under the curve(AUC)for BMI predicting biochemical pregnancy and clinical pregnancy was 0.608 and 0.610,respectively,with a cut-off value of 23.05 kg/m2 for both.Conclusion BMI affects the endocrine and glycolipid metabolism of infertility patients.BMI can be used as an inde-pendent factor to predict biochemical pregnancy and clinical pregnancy in IUI.

Objective This study used high-throughput sequencing technology to detect the regulation of JianPiHuaTan Prescription(JPHT)on the ApoE-/-mouse miRNA related to vascular smooth muscle cells proliferation and migration,verify the expression of related proteins,and explore the therapeutic effect of JPHT on atherosclerosis.Methods Ten of C57BL/6J mice were used as control group,and 30 ApoE-/-mice were randomly divided into model group,western medicine group and JPHT group.Sequencing technology was performed on aortic sample to select the differentially expressed miRNA.We screened out the tagetted miRNA related to VSMCs proliferation and migration.RT-qPCR and Western blot technology were used to test the differentially expressed miRNA and tagetted protein.Results Compared with model group,a total of 9 miRNAs were changed in JPHT group,among which 7 were up-regulated and 2 were down-regulated.The expression of miRNA-34a was up-regulated in JPHT group.The miRNA-34a and α-SMA protein expression in aorta of JPHT group were significantly different with model group by RT-qPCR and Western blot experiment(P<0.01).Conclusion Jianpi Huatan Prescription may improve ApoE-/-mice atherosclerosis through inhibitting the proliferation of vascular smooth muscle cells by regulating miRNA-34a.

Objective:Integrating genes and GEO database related cuproptosis chips,to analyze connection between cupropto-sis genes,immune infiltration and myocardial infarction(MI),construct risk prediction model,predict Western medicine and Chi-nese medicine,analyze miRNA-mRNA regulatory network,and to provides a new research direction for the future study of MI-related cuproptosis mechanism and immune infiltration.Methods:By GEO database retrieval of MI related chips,standardized processing and MI-related cuproptosis genes screening were performed,and immunoinfiltration analysis and quantification were performed based on the treated gene expression matrix,correlation between immune infiltrating cells and function was analyzed,as well as their differ-ences in MI group and the control group.Cuproptosis genes that most related to MI in immune infiltration were screened out,and the risk model was constructed to analyze the risk probability of cuproptosis genes in MI.The Enrichr website and Coremine Medical data-base were used to predict cuproptosis-related genes in MI in Western medicine and traditional Chinese medicine.Finally,the up-stream mirnas of FDX1 and SLC31A1 were predicted by miRTarBase,Starbase and Targetscan databases,and miRNA-mRNA regula-tory networks were constructed.Results:Correlation of immune infiltration showed that Tfh cells and B cells had the strongest positive correlation(r=0.68),while regulatory T cells and iDC had the strongest negative correlation(r=-0.63);the difference analysis of im-mune infiltration showed that the differences among mast cells,NK cells and Th1 cells in the MI group at the cellular level were the most significant(P<0.001);and the differences in APC co-inhibition and MHCⅠ at the functional level were the most significant(P<0.001).Six genes with the highest correlation between immune cells and immune function were screened out:ATP7A,DLD,FDX1,LIAS,LIPT1 and SLC31A1.Results of the risk model showed that the high levels of FDX1 and SLC31A1 were negatively correlated with the risk prediction of MI.A total of 21 Western medicines and 30 traditional medicines were predicted by database comparison.miRTarBase,Starbase and Targetscan databases predicted 9 upstream miRNAs of cuproptosis-related genes in MI,including has-miR-122-5p.Conclusion:Tfh cells,B cells,para-inflammatory,typeⅠinterferon response and other related immune cells and functions may play important roles in pathogenesis and prognosis of MI.FDX1 and SLC31A1 as the key genes of cuproptosis process,are negatively correlated with MI.A total of 30 kinds of traditional Chinese medicines including Spirulina,sheep liver,Wen ezhu,Pian jianghuang and Yujin may have potential value in treatment of MI.Finally,9 miRNAs including has-miR-122-5p may play an important role in the regulation of cuproptosis in myocardial infarction.