1.EFFECTS OF ARTESUNATE ON PROGESTRON ESTROGEN CONTENT AND DECIDUA IN RATS
Acta Pharmaceutica Sinica 2001;36(4):254-257
AIM To observe the effect of artesunate on content of progesterone, estrogen and decidua of pregnant rats and study the efficacy and mechanism of artesunate for termination of early pregnancy. METHODS Serum content of progesterone, estrogen and TNF-α were measured with RIA. The effects of artesunate on the ovary, decidua and fetus of pregnant rats were studied using histochemistry techniques. Decidual cells were estimated using cell culture. RESULTS Artesunate 40 mg*kg-1 sc on day 6-10 of gestation significantly decreased the concentration of serum progesterone in early pregnant rats; decidual cells and fetus of treated groups were found to be degenerated at d 11. Artesunate was shown to directly damage the decidual cells. Cultured human decidual cells were exposed to artesunate for 48 h, the LC50 was found to be 25±3 mL*L-1. CONCLUSION The damage of artesunate on decidua and placenta may be the mechanisms of its contragestational action.
2.Observation on the effect of psychological intervention combined with alendronate sodium and low molecular heparin calcium on the treatment of senile osteoporotic fracture
Chinese Journal of Biochemical Pharmaceutics 2017;37(8):293-294,297
Objective To observe the clinical effect of psychological intervention combined with alendronate and low molecular heparin calcium on the treatment of senile osteoporotic fracture. Methods From February 2014 to March 2017, clinical data of 82 elderly patients with osteoporotic fracture in the first people's hospital in Jiande were retrospectively analyzed. All the patients were randomly divided into the control group and the experimental group with 41 cases in each group. The control group patients were given alendronate sodium and low molecular heparin calcium; At this basis, the experimental group were received psychological nursing intervention. The effect in the two groups was compared. Results After treatment, bone mineral density (BMD) index and pain scores in the two groups were significantly improved. BMD and pain scores in the experimental group were significantly better than those in the control group (P<0.05). The total effective rate was 95.12% (39/41) and the complication rate was 17.07% (7/41) in the experimental group, while in the control group were respectively 70.73% (29/41), 36.59% (15/41), the differences were statistically significant (P<0.05). Conclusion Psychological intervention combined with alendronate sodium and low molecular heparin on the treatment of senile osteoporotic fracture has significant effect, can effectively improve the clinical symptoms of patients, reduce the incidence of complications, with clinical application value.
3.The influencing factors of HbA 1C variability and its effect on diabetic retinopathy in patients with type 2 diabetes
Jiaqi HU ; Huijun XU ; Chao LIU ; Taojun LI ; Qingqing LOU
Chinese Journal of Endocrinology and Metabolism 2020;36(5):381-386
Objective:To investigate the relationship between HbA 1C variability and diabetic retinopathy(DR) in patients with type 2 diabetes and to explore the influencing factors of HbA 1C variability. Methods:Type 2 diabetic patients who received dilated funduscopic examination annually, were stratified into two groups based on the presence or absence of DR, with a median follow-up period of 4 years(2-5 years). Intrapersonal means and SDs of all recorded HbA 1C measurements were calculated. A 1C-SD represented the measure of HbA 1C variability. In addition, medical history and clinical data of all subjects were collected and analyzed. Subjects were divided into four quartiles based on their A 1C-Mean and A 1C-SD data: Q1(A 1C-Mean<7%, A 1C-SD<0.76%); Q2(A 1C-Mean<7%, A 1C-SD≥0.76%); Q3(A 1C-Mean≥7%, A 1C-SD<0.76%); Q4(A 1C-Mean≥7%, A 1C-SD≥0.76%). Results:Multivariate linear regression showed that exercise, insulin( P<0.01), and smoking( P=0.004) are the influencing factors of HbA 1C variability. Adjusted for age, sex, and diabetes duration, Cox regression analysis revealed that HbA 1C variability was an independent risk factor for DR. Meanwhile, patients in Q4 group had the highest DR prevalence(HR=1.676, P<0.01) while Q1 group had the lowest. In addition, patients in Q2 group(HR=1.437, P=0.005) had a higher risk of DR than those in Q3 group(HR=1.361, P<0.01). Conclusions:HbA 1C variability is an independent predictor of DR in patients with type 2 diabetes. It may play a greater role in DR development than mean HbA 1C does when the mean value of HbA 1C variability index is above 0.75%.
4.Effects of different blood pressure variables and their variabilities on the development of diabetic nephropathy in patients with type 2 diabetes mellitus
Xue CHEN ; Qianqian ZHOU ; Huijun XU ; Xiaodan YUAN ; Chao LIU ; Taojun LI ; Qingqing LOU
Chinese Journal of Endocrinology and Metabolism 2021;37(7):624-630
Objective:To analyze the effects of different blood pressure variables and their variabilities on diabetic nephropathy(DN)in patients with type 2 diabetes.Methods:This prospective cohort study included 3 050 type 2 diabetic patients without DN at baseline from Lee′s clinic in Taiwan, China. The metabolic parameters of patients were regularly checked, and urine albumin creatinine ratio(UACR)were evaluated annually. The average follow-up period was 7 years(3-10 years). The means and standard deviations(SD)of systolic blood pressure(SBP), diastolic blood pressure(DBP), pulse pressure(PP), and mean arterial pressure(MAP)were calculated. According to whether SBP-Mean was higher or lower than 130 mmHg(1 mmHg=0.133 kPa) and SBP-SD was higher or lower than 11.06 mmHg(average SBP-SD), these patients were divided into four groups: Q1(SBP-Mean<130 mmHg, SBP-SD<11.06 mmHg); Q2(SBP-Mean<130 mmHg, SBP-SD≥11.06 mmHg); Q3(SBP-Mean≥130 mmHg, SBP-SD<11.06 mmHg); Q4(SBP-Mean≥130 mmHg, SBP-SD≥11.06 mmHg). In the same way, according to whether PP-Mean was higher or lower than 80 mmHg(average PP-Mean)and PP-SD was higher or lower than 6.48 mmHg(average PP-SD), the patients were divided into Q1-Q4 groups.Results:After adjusting age, sex, and diabetes duration, Cox regression analysis showed that SBP-Mean, SBP-SD, PP-Mean, and PP-SD were the risk factors of DN. After the stratification according to SBP-Mean and SBP-SD, the patients in Q4 group( HR=1.976, P<0.001)had the highest risk while those in Q1 group displayed the lowest risk for DN. Additionally, the patients in Q3 group( HR=1.614, P<0.001)imposed a higher risk than that in Q2 group( HR=1.408, P<0.001). By stratificating the patients based on PP-Mean and PP-SD, the patients in Q4 group revealed the highest risk of DN( HR=1.370, P<0.001)while those in Q1 group had the lowest risk. In addition, the patients in Q3 group( HR=1.266, P<0.001)had a higher risk of DN compared with those in Q2 group( HR=1.212, P<0.001). Conclusion:SBP and PP variabilities are the predictors of DN in patients with type 2 diabetes.
5.Effect of urinary albumin/creatinine ratio on type 2 diabetic retinopathy and its cut-off value for early diabetic retinopathy diagnosis
Xue CHEN ; Songqing ZHAO ; Weiping LU ; Huijun XU ; Xiaodan YUAN ; Taojun LI ; Qingqing LOU
Chinese Journal of Endocrinology and Metabolism 2022;38(12):1046-1051
Objective:To evaluate the effect of urinary albumin creatinine ratio (UACR) on diabetic retinopathy (DR) in patients with type 2 diabetes. Receiver operating characteristic (ROC) curve was applied to find the cut-off value of UACR for diagnosing DR.Methods:A prospective cohort study of 2 490 patients with type 2 diabetes was conducted with a mean follow-up of 7 years ranging from 3 to 10 years. Dilated fundus examination was performed once a year, and patient history and clinical data were collected and analyzed. Patients were divided into three groups according to the UACR: Q1, normal urinary albumin group (UACR<30 mg/g), Q2, microalbuminuria group (30 mg/g≤UACR≤299 mg/g), and Q3, macroalbuminuria group (UACR>300 mg/g), respectively. Cox regression analysis was used to explore the influence of UACR and other factors on DR, and ROC curve was drawn to evaluate the value of UACR in diagnosis of DR.Results:Cox regression analysis showed that UACR was the risk factor of DR( HR=1.108, 95% CI 1.023-1.241, P<0.001). It showed that the patients in Q3 group had the highest risk of proliferative DR ( HR=3.128, 95% CI 2.025-4.831, P<0.001), the patients in Q2 group followed( HR=1.918, 95% CI 1.355-2.714, P<0.001), and the patients in Q1 group were the lowest. ROC curve analysis showed that area under UACR curve was 0.746(95% CI 0.681-0.812, P<0.001), and the cut-off value, sensitivity, and specificity for the diagnosis of PDR were 54.12mg/g, 0.769, and 0.653, respectively. Conclusion:The UACR can predict the progression of PDR in type 2 diabetes patients, therefore it may be used as a preliminary predictor for the progression of DR.