Enramycin is a polypeptide antibiotic and new, safe animal feed additive. A new purification process was developed, based on pre-purification by macroporous resin and refining by reversed phase chromatography. AB-8 macroporous resin was used for the pre-purification process of enramycin, with an elution buffer of 0.012 mol/L aqueous HCl solution-methanol (50: 50, V/V). Then, enramycin a and enramycin b were separated effectively by C18 reversed phase chromatography, with a elution buffer of 0.05 mol/L aqueous KH2PO4 solution-acetonitrile (70: 30, V/V, pH 4.5). The purities of enramycin a and enramycin b were up to 98.5% and 98.0%, respectively. The yield reached 29.2%. This study would provide a useful reference for the preparation of enramycin a and enramycin b with a high purity.
Adsorption ; Anti-Bacterial Agents ; isolation & purification ; Chromatography, Reverse-Phase ; methods ; Peptides ; isolation & purification

Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous logistic regression, ordinal logistic regression and adjacent categorical logistic regression. This paper illustrates the basic principle, independent variable selection and assignment, applied condition, model evaluation and diagnosis for multiple logistic regression model. Moreover, the principle and application for polytomous logistic regression and ordinal logistic regression models were also introduced. By providing SAS codes and detailed explanations of the result for an example of obesity, readers could be able to better understand logistic regression model, and apply this method correctly to their research and daily work, so as to improve their capacity of the data analysis.

Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous logistic regression, ordinal logistic regression and adjacent categorical logistic regression. This paper illustrates the basic principle, independent variable selection and assignment, applied condition, model evaluation and diagnosis for multiple logistic regression model. Moreover, the principle and application for polytomous logistic regression and ordinal logistic regression models were also introduced. By providing SAS codes and detailed explanations of the result for an example of obesity, readers could be able to better understand logistic regression model, and apply this method correctly to their research and daily work, so as to improve their capacity of the data analysis.

Objective To explore the association between the CpG methylation level of positive regulatory domain containing 16(PRDM16)gene promoter and obesity or body mass index(BMI). Methods A total of 116 patients(91 female adults and 25 male adults) with abdominal operation in a municipal hospital of Henan province were enrolled in this study and they were divided into two groups:normal weight group(n=50), overweight or obesity group ( n=66 ) . Fasting plasma glucose, total cholesterol, triglyceride, high density lipoprotein and low density lipoprotein were measured in peripheral blood. DNA was extracted from white blood cells in peripheral blood and modified by bisulphite. Then the CpG methylation level of PRDM16 gene promoter was detected by mass spectrometry. Finally, all data were analyzed by IBM SPSS Statistics 21. 0 at the 5% level. The essential features and biochemical indexes of research objects between two groups were compared by two independent sample t-test, except chi-square test for gender. The correlation between CpG methylation level of PRDM16 gene and BMI was analyzed by multiple linear regression. Results There were no significant differences ( P>0. 05 ) in the methylation levels of PRDM16 gene's effective CpG sites(including CpG5. 6, CpG8, CpG9, CpG12, CpG13. 14. 15, CpG26. 27, CpG28 and CpG29) between two groups. The methylation level of CpG26. 27 had positive linear relation with BMI in overweight or obesity group with the standardized coefficients of 46. 928(P=0. 015), which means the higher the methylation level is, the higher the BMI would be. Conclusion The CpG26. 27 methylation level of PRDM16 gene promoter region may have relationship with the risk of obesity.

Objective To explore the pregnancy outcome and obstetric management of pregnancy and delivery after vaginal radical trachelectomy (VRT).Methods Forty-two cases of VRT from December 2003 to May 2012 in Peking Union Medical College Hospital were analyzed retrospectively.Among them ten cases got pregnant successfully.Results The average age of patient at VRT surgery was (30.6 ± 3.7) years old and average follow-up time was 29.5 months.There were 31 patients attempted conception.Ten of them got fourteen conceptions successfully.Overall conception rate was 45％ (14/31).There were four cases of first trimester abortion.Among them,two were miscarriage,two were elective abortion.There was one case of ectopic pregnancy operation and non of second trimester loss.Nine cases reached the third trimester.The total preterm delivery rate was 4/9.There were two cases delivered before 32 gestational weeks (2/9).Cesarean section was performed through a transverse incision in all of nine cases.No uterine rupture and postpartum hemorrhage occurred.All newborns had good outcomes.The average follow-up time after postpartum was 22.9 months.All cases were disease-free.Conclusions The conception rate of patients after VRT in our series is 45％.The preterm birth rate of pregnancy after VRT is higher.Routine cerclage of cervix during VRT procedure and pregnancy is not necessary.Cesarean section shortly after full term pregnancy through a transverse incision should be considered as a suitable and safe procedure.

Objective To analyze the clinical characteristics and assess the outcome of treatment for cervical cancer during pregnancy.Methods A cohort of 13 patients with cervical cancer diagnosed during pregnancy from January 2001 to September 2011 in Peking Union Medical College Hospital (PUMCH) was retrospectively studied.Clinical information,gestational age at diagnosis,treatment options and maternal and child outcomes were collected and analyzed.Results Thirteen patients out of 2030 cases of invasive cervical cancer were diagnosed during pregnancy with an incidence of 0.64％ (13/2030).The Mean gestational age at diagnosis of 13 patients is 21+6 weeks.Two cases were diagnosed during the first trimester,8 cases at second trimester and 3 cases at third trimester respectively.Vaginal bleeding during the pregnancy was main clinical manifestation presented in 8 patients and all thirteen cases were diagnosed by biopsy with pathological types of squamous cell carcinoma in 10 cases.The International Federation of Gynecology and Obstetrics (FIGO) stage was Ⅰ in eleven cases and stage Ⅱ in two cases.Six patients of them received treatment promptly after diagnosis.The other 7 patients had delayed treatment with mean diagnosis-treatment interval time of 65 days due to fertility reasons,who ended pregnancy by cesarean section at mean gestational age of 34+6 weeks,two of them received chemotherapy with cisplatin + fiuorouracil (PF)or cisplatin respectively before the end of the pregnancy,while the one with PF chemotherapy experienced neonatal death.The rest 6 neonatal outcomes were good.As follow-up of 13 cases:11 cases in stage Ⅰ received surgical treatment,and two of which had recurrence respectively,15 months and 7 months post surgery,and one case had died.One case of Stage Ⅱ patients died and one had recurrence after 53 months after radiotherapy.The recurrence rate in 13 cases was 3/13 and the mortality rate was 2/13.Conclusions Most cases of cervical cancer diagnosed during pregnancy were in early FIGO stage.For those patients diagnosed in late pregnancy with strong fertility demand,considering delayed treatment according to FIGO stage of the disease and fetus maturity is appropriate.Chemotherapy during pregnancy may cause neonatal complications.

Logistic regression is a kind of multiple regression method to analyze the relationship between a binary outcome or categorical outcome and multiple influencing factors, including multiple logistic regression, conditional logistic regression, polytomous logistic regression, ordinal logistic regression and adjacent categorical logistic regression. This paper illustrates the basic principle, independent variable selection and assignment, applied condition, model evaluation and diagnosis for multiple logistic regression model. Moreover, the principle and application for polytomous logistic regression and ordinal logistic regression models were also introduced. By providing SAS codes and detailed explanations of the result for an example of obesity, readers could be able to better understand logistic regression model, and apply this method correctly to their research and daily work, so as to improve their capacity of the data analysis.

As the focus of public health work in the world, diabetic foot disease has aroused high public concern. This paper introduces the application of the diabetic foot wearable monitoring equipment types, including plantar pressure monitoring, temperature monitoring, monitoring of the biomechanics and multimode monitoring, and wearable devices application status in patients with diabetes, puts forward the existing problems and prospect, in order to carry out domestic related to diabetic foot wearable monitoring equipment research to provide the reference.

Objective:To observe the changes of LHX4 and DIS3L mRNA and protein expression in Nthy-ori-3-1 cells after the treatment of thyroid disruptor p, p'-DDE. Methods:Nthy-ori-3-1 cells in logarithmic growth phase were treated with 0, 0.5, 1.0, 2.0 and 5.0 μg/ml p, p'-DDE solution. The growth state and morphology of the cells were observed by microscope. The mRNA levels of LHX4 and DIS3L were detected by real-time fluorescent quantitative PCR, and the protein expression levels of LHX4 and DIS3L were detected by Western blot. Results:when the concentrations of p, p'-DDE were 0, 0.5, 1.0 and 2.0 μg/ml, Nthy-ori-3-1 cells grew normally. There were 33 differential genes in 2.0 μg/ml group, among which 13 genes were down regulated and 20 genes were up-regulated. Compared with the control group, the protein expression levels of LHX4 and DIS3L in 1.0 and 2.0 μg/ml groups were significantly decreased ( P<0.05) , and the relative expression levels of LHX4 and DIS3L protein mRNA in 1.0 μg/ml group were significantly decreased ( P<0.05) . Conclusion:p, p'-DDE can affect the protein expression of LHX4 and dis3l in nthy-ori-3-1 cells.

Objective:To observe the changes of LHX4 and DIS3L mRNA and protein expression in Nthy-ori-3-1 cells after the treatment of thyroid disruptor p, p'-DDE. Methods:Nthy-ori-3-1 cells in logarithmic growth phase were treated with 0, 0.5, 1.0, 2.0 and 5.0 μg/ml p, p'-DDE solution. The growth state and morphology of the cells were observed by microscope. The mRNA levels of LHX4 and DIS3L were detected by real-time fluorescent quantitative PCR, and the protein expression levels of LHX4 and DIS3L were detected by Western blot. Results:when the concentrations of p, p'-DDE were 0, 0.5, 1.0 and 2.0 μg/ml, Nthy-ori-3-1 cells grew normally. There were 33 differential genes in 2.0 μg/ml group, among which 13 genes were down regulated and 20 genes were up-regulated. Compared with the control group, the protein expression levels of LHX4 and DIS3L in 1.0 and 2.0 μg/ml groups were significantly decreased ( P<0.05) , and the relative expression levels of LHX4 and DIS3L protein mRNA in 1.0 μg/ml group were significantly decreased ( P<0.05) . Conclusion:p, p'-DDE can affect the protein expression of LHX4 and dis3l in nthy-ori-3-1 cells.