ABSTRACT
Objective:To explore therapeutic effect of spironolactone combined benazepril on patients with acute ante-rior myocardial infarction(AAMI)and its influence on left ventricular remodeling.Methods:A total of 100 AAMI patients treated in our hospital were regard as study object.According to therapeutic method,they were divided into benazepril group(n=50)and combined treatment group(n=50,received spironolactone combined benazepril),both groups were treated for six months.Therapeutic effect,left ventricular remodeling condition and incidence of adverse reactions were compared between two groups.Results:Compared with before treatment,after six-month treatment,there were significant rise in all indexes of heart rate variability(HRV)and left ventricular ejection fraction(LVEF),and significant reductions in left ventricular end-systolic dimension(LVESd)and left ventricular end-diastolic dimension(LVEDd)in two groups,P<0.05 or <0.01;compared with benazepril group after treatment,there were significant rise in all HRV indexes and LVEF[(52.45 ± 8.65)% vs.(57.85 ± 9.70)%],and significant reductions in LVESd[(36.25 ± 2.13)mm vs.(30.10 ± 2.06)mm]and LVEDd[(58.60 ± 6.41)mm vs.(51.29 ± 6.20)mm]in combined treatment group,P<0.01 all;there was no significant difference in total adverse reaction rate between two groups,P=1.000. Conclusion:Spironolactone combined benazepril can significantly improve HRV and heart function,inhibit left ventricular remodeling in patients with acute anterior myocardial infarction.
ABSTRACT
Bladder cancer ( BC) is a fatal malignancy with considerable mortality, and can cause a serious threat to human health. The successful treatment of bladder cancer relies mainly on early detection. Biomarkers are vital to early diagnosis of bladder cancer, and metabonomics play an important role in biomarkers finding. In this study, we used 69 polar metabolites to select the appropriate separation system and develop the zwitterionic hydrophilic chromatography/mass spectrometry ( ZIC-HILIC/MS ) method. In this method, 50 representative compounds had broad linear ranges between 2-6 orders of magnitude. Moreover the limit of detection of the method was below ng/mL levels. The analysis for six serum samples prepared in parallel showed that this method had good reproducibility, and the RSDs of more than 85% metabolites were less than 30%. Based on this method, it was found that 35 metabolites had significant differences in BC group and healthy control. After screening and validation, the combination of chenodeoxycholic acid, eicosenoic acid, GPC, dodecenoic acid and cystine was a potential biomarker to distinguish BC and normal group. These results indicated that the ZIC-HILIC/MS method could detect diverse metabolites for metabolomic analysis purpose with good reproducibility and stability.